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[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [777, 1596, 2223, 2428]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1364, 382, 2387, 982]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [2223, 2360, 2496, 2633]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1309, 1159, 1746, 1828]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1337, 1732, 2360, 2564]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1309, 504, 2360, 2564]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1309, 1255, 2196, 1732]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1323, 573, 2114, 1255]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [136, 477, 1118, 1036]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [0, 2087, 204, 2360]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [654, 1173, 1105, 1691]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [68, 1623, 982, 2278]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [68, 504, 1146, 2278]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [259, 1255, 1064, 1623]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [313, 573, 1146, 1255]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [995, 327, 1446, 1637]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10002430/CXR-JPG/s53254222/4873aa08-977bfd31-fb492e64-6ef432d1-3f12cbe3.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [914, 791, 1787, 1582]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [982, 1637, 1828, 2564]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1364, 395, 2523, 927]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [2264, 2824, 2537, 3042]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1350, 1146, 1841, 2046]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1418, 1923, 2401, 3042]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1337, 422, 2401, 3042]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1364, 1282, 2319, 1923]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1337, 491, 2237, 1282]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [27, 477, 1146, 941]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [0, 2824, 259, 3042]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [654, 1146, 1132, 2046]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [122, 1923, 1146, 3042]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [122, 409, 1146, 3042]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [191, 1282, 1132, 1923]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [231, 477, 1146, 1282]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [955, 68, 1473, 1664]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10012498/CXR-JPG/s55812956/8106217e-c41ab813-c6002d3f-ed4ee98b-7b165bae.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1036, 723, 1541, 1623]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1200, 1241, 2005, 1855]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1555, 382, 2401, 764]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [2210, 1759, 2483, 2032]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1514, 982, 1882, 1432]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1541, 1377, 2346, 1937]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1500, 450, 2346, 1937]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1528, 1050, 2251, 1377]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1500, 491, 2237, 1050]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [272, 545, 1323, 777]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [354, 1841, 627, 2114]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [941, 968, 1309, 1473]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [491, 1405, 1268, 2032]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [491, 395, 1337, 2032]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [586, 1050, 1296, 1405]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [600, 450, 1337, 1050]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1186, 245, 1582, 1337]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10015701/CXR-JPG/s53321493/5f1ac54d-47dfae00-930fa704-514131fa-ee0c138e.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1241, 654, 1678, 1227]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1077, 1105, 2332, 1746]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1582, 150, 2755, 654]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [2496, 1623, 2769, 1896]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1555, 832, 2019, 1282]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1609, 1227, 2633, 1800]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1541, 286, 2633, 1800]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1582, 900, 2455, 1227]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1541, 354, 2373, 900]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [95, 245, 1323, 654]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [245, 1514, 518, 1787]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [900, 832, 1350, 1241]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [382, 1186, 1337, 1691]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [382, 259, 1364, 1691]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [477, 900, 1337, 1186]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [573, 327, 1364, 900]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1214, 27, 1678, 1118]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10018423/CXR-JPG/s58815716/52f7cf0a-e13e2328-993ae39b-37ed0efb-14d64e8a.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1173, 477, 1828, 1091]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1183, 1640, 2030, 2501]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1519, 564, 2474, 954]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [2272, 2393, 2539, 2662]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1492, 1210, 1922, 1869]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1506, 1774, 2406, 2595]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1492, 510, 2406, 2595]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1492, 1304, 2353, 1774]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1492, 578, 2285, 1304]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [282, 497, 1277, 927]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [174, 2595, 443, 2864]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [820, 1183, 1277, 1963]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [309, 1855, 1237, 2810]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [309, 484, 1304, 2810]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [389, 1304, 1263, 1855]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [457, 551, 1304, 1304]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1102, 201, 1546, 1627]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10019593/CXR-JPG/s58500109/d8bb1eda-1acb9229-4531796f-3f4dd3da-ed32b7e2.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1183, 793, 1721, 1627]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1118, 1200, 2237, 1896]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1623, 409, 2687, 723]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [2319, 1705, 2592, 1978]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1596, 982, 2019, 1405]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1623, 1350, 2455, 1896]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1582, 327, 2455, 1896]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1609, 1050, 2428, 1350]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [1582, 382, 2373, 1050]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [354, 218, 1364, 654]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [341, 1528, 613, 1800]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [927, 995, 1391, 1377]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [477, 1323, 1323, 1800]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [477, 259, 1446, 1800]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [518, 1050, 1350, 1323]}" } ]
[ "/home/myid/yl80817/mimic-eye-integrating-mimic-datasets-with-reflacx-and-eye-gaze-for-multimodal-deep-learning-applications-1.0.0/mimic-eye/patient_10037602/CXR-JPG/s56937008/1a1932a9-6d40a33f-f52e88ba-b2c05012-155785dd.jpg" ]
[ { "from": "human", "value": "<image>\nGiven the radiology report below, output the single bounding box of the most clinically relevant region as JSON with integer pixel coordinates [x1,y1,x2,y2] in the image pixel space.\n\nReport:\nN/A" }, { "from": "gpt", "value": "{\"bbox\": [573, 327, 1446, 1050]}" } ]
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