diff --git "a/data/vsibench_test/qa_mobj_3dDetect_json_conversation.json" "b/data/vsibench_test/qa_mobj_3dDetect_json_conversation.json" new file mode 100644--- /dev/null +++ "b/data/vsibench_test/qa_mobj_3dDetect_json_conversation.json" @@ -0,0 +1,3778 @@ +[ + { + "id": 0, + "data_source": "Mono3DRefer", + "scene_name": "000001", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [387.63, 181.54, 423.81, 203.12], \"box_3d\": [1.67, 1.87, 3.69, -16.53, 2.39, 58.49], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1, + "data_source": "Mono3DRefer", + "scene_name": "000002", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [657.39, 190.13, 700.07, 223.39], \"box_3d\": [1.41, 1.58, 4.36, 3.18, 2.27, 34.38], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 2, + "data_source": "Mono3DRefer", + "scene_name": "000004", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [280.38, 185.1, 344.9, 215.59], \"box_3d\": [1.49, 1.76, 4.01, -15.71, 2.16, 38.26], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [365.14, 184.54, 406.11, 205.2], \"box_3d\": [1.38, 1.8, 3.41, -15.89, 2.23, 51.17], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 3, + "data_source": "Mono3DRefer", + "scene_name": "000031", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.35, \"box_2d\": [334.28, 180.65, 490.02, 297.48], \"box_3d\": [1.65, 1.67, 3.81, -3.18, 1.79, 12.2], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [785.85, 179.67, 1028.82, 340.75], \"box_3d\": [1.52, 1.51, 3.1, 3.18, 1.61, 8.46], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [711.98, 179.65, 848.82, 277.62], \"box_3d\": [1.53, 1.58, 3.53, 2.9, 1.66, 13.14], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [660.82, 178.72, 713.09, 222.03], \"box_3d\": [1.46, 1.6, 3.71, 2.71, 1.69, 26.41], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 4, + "data_source": "Mono3DRefer", + "scene_name": "000037", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [555.85, 173.64, 628.69, 240.05], \"box_3d\": [1.6, 1.76, 3.84, -0.45, 1.32, 19.43], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [473.07, 183.18, 535.73, 226.04], \"box_3d\": [1.3, 1.61, 4.39, -3.46, 1.24, 24.49], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 5, + "data_source": "Mono3DRefer", + "scene_name": "000050", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [683.34, 170.98, 803.44, 257.43], \"box_3d\": [1.49, 1.56, 4.34, 2.51, 1.49, 14.75], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.31, \"box_2d\": [262.97, 182.23, 469.76, 318.0], \"box_3d\": [1.42, 1.53, 4.12, -3.06, 1.56, 9.79], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -2.37, \"box_2d\": [910.25, 159.81, 1241.0, 374.0], \"box_3d\": [1.59, 1.59, 3.89, 2.61, 1.55, 2.39], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [641.55, 172.79, 681.44, 206.29], \"box_3d\": [1.38, 1.64, 3.51, 2.22, 1.4, 31.72], \"ry\": -1.51}]\n```" + } + ] + }, + { + "id": 6, + "data_source": "Mono3DRefer", + "scene_name": "000126", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [315.89, 189.95, 441.04, 267.24], \"box_3d\": [1.34, 1.64, 4.57, -4.85, 1.75, 15.6], \"ry\": 1.47}]\n```" + } + ] + }, + { + "id": 7, + "data_source": "Mono3DRefer", + "scene_name": "000140", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [706.99, 162.59, 820.15, 248.79], \"box_3d\": [1.69, 1.64, 4.21, 3.29, 1.52, 16.43], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [453.95, 179.06, 526.72, 235.16], \"box_3d\": [1.55, 1.64, 3.7, -3.6, 1.75, 22.01], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [550.54, 173.16, 603.7, 211.98], \"box_3d\": [1.63, 1.81, 4.54, -1.45, 1.68, 32.89], \"ry\": -1.48}, {\"category\": \"Car\", \"angle\": -1.3, \"box_2d\": [685.71, 170.0, 744.25, 209.05], \"box_3d\": [1.47, 1.54, 3.02, 4.2, 1.38, 28.79], \"ry\": -1.15}]\n```" + } + ] + }, + { + "id": 8, + "data_source": "Mono3DRefer", + "scene_name": "000152", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.22, \"box_2d\": [45.07, 196.83, 447.49, 374.0], \"box_3d\": [1.5, 1.55, 4.21, -2.67, 1.77, 6.37], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [751.85, 155.9, 1136.5, 374.0], \"box_3d\": [1.82, 1.65, 3.67, 2.41, 1.74, 6.35], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [711.29, 186.05, 878.68, 307.07], \"box_3d\": [1.52, 1.51, 4.28, 2.66, 1.76, 11.53], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [453.56, 185.34, 532.94, 243.89], \"box_3d\": [1.42, 1.57, 4.1, -3.18, 1.79, 20.12], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [662.72, 183.71, 773.72, 256.63], \"box_3d\": [1.43, 1.64, 4.14, 2.29, 1.7, 16.6], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": 1.62, \"box_2d\": [533.48, 179.04, 563.54, 204.53], \"box_3d\": [1.38, 1.53, 3.58, -3.51, 1.74, 41.26], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [628.63, 176.51, 657.81, 200.82], \"box_3d\": [1.49, 1.65, 4.06, 2.09, 1.75, 46.82], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 9, + "data_source": "Mono3DRefer", + "scene_name": "000159", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [748.38, 163.3, 893.8, 265.27], \"box_3d\": [1.77, 1.77, 5.1, 4.15, 1.64, 15.19], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": 2.22, \"box_2d\": [0.0, 208.68, 267.12, 374.0], \"box_3d\": [1.39, 1.55, 3.65, -4.59, 1.77, 6.02], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [170.35, 187.87, 405.54, 313.74], \"box_3d\": [1.46, 1.63, 3.92, -4.5, 1.72, 10.67], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [526.48, 173.25, 570.3, 203.47], \"box_3d\": [1.47, 1.66, 3.76, -3.16, 1.51, 37.26], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [724.84, 176.54, 802.29, 229.29], \"box_3d\": [1.41, 1.66, 3.86, 4.4, 1.53, 21.35], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [709.33, 170.79, 767.58, 216.55], \"box_3d\": [1.59, 1.59, 3.34, 4.7, 1.54, 26.99], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [702.15, 170.78, 747.12, 206.15], \"box_3d\": [1.47, 1.6, 3.7, 5.03, 1.41, 32.2], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [591.95, 170.23, 614.45, 187.15], \"box_3d\": [1.45, 1.6, 3.2, -0.6, 1.25, 64.3], \"ry\": 1.69}]\n```" + } + ] + }, + { + "id": 10, + "data_source": "Mono3DRefer", + "scene_name": "000175", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [468.64, 185.01, 511.46, 223.67], \"box_3d\": [1.57, 1.55, 3.32, -5.25, 2.12, 31.67], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [481.92, 183.05, 522.33, 214.58], \"box_3d\": [1.56, 1.68, 3.91, -5.7, 2.11, 38.31], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -3.0, \"box_2d\": [264.63, 175.08, 408.71, 229.38], \"box_3d\": [1.77, 1.73, 4.53, -9.53, 1.88, 25.41], \"ry\": 2.93}]\n```" + } + ] + }, + { + "id": 11, + "data_source": "Mono3DRefer", + "scene_name": "000186", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.23, \"box_2d\": [0.0, 195.79, 206.03, 374.0], \"box_3d\": [1.49, 1.63, 3.68, -5.86, 1.77, 7.09], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -2.26, \"box_2d\": [889.45, 189.86, 1241.0, 374.0], \"box_3d\": [1.49, 1.61, 3.55, 3.0, 1.61, 3.78], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.34, \"box_2d\": [460.43, 182.2, 513.98, 216.49], \"box_3d\": [1.41, 1.57, 3.53, -5.54, 1.84, 32.04], \"ry\": 1.17}, {\"category\": \"Car\", \"angle\": 2.64, \"box_2d\": [534.31, 177.09, 600.27, 199.68], \"box_3d\": [1.47, 1.72, 4.22, -2.95, 1.78, 49.71], \"ry\": 2.58}, {\"category\": \"Car\", \"angle\": 0.76, \"box_2d\": [337.79, 183.39, 418.84, 211.07], \"box_3d\": [1.42, 1.71, 4.14, -12.61, 2.02, 39.14], \"ry\": 0.45}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [101.63, 181.63, 205.96, 234.79], \"box_3d\": [1.61, 1.87, 3.69, -15.15, 1.91, 24.12], \"ry\": 1.33}, {\"category\": \"Car\", \"angle\": 2.72, \"box_2d\": [641.22, 174.76, 710.64, 195.97], \"box_3d\": [1.48, 1.87, 4.74, 4.84, 1.65, 53.25], \"ry\": 2.81}]\n```" + } + ] + }, + { + "id": 12, + "data_source": "Mono3DRefer", + "scene_name": "000188", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [846.8, 157.66, 1036.53, 281.15], \"box_3d\": [1.72, 1.67, 4.42, 5.34, 1.54, 12.35], \"ry\": -1.45}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [581.77, 181.44, 661.2, 245.91], \"box_3d\": [1.44, 1.56, 3.84, 0.35, 1.67, 18.2], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [657.52, 175.77, 692.17, 209.26], \"box_3d\": [1.5, 1.55, 4.21, 3.11, 1.66, 34.76], \"ry\": -1.47}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [768.88, 169.23, 811.34, 210.31], \"box_3d\": [1.82, 1.65, 3.67, 8.39, 1.68, 33.97], \"ry\": -1.4}]\n```" + } + ] + }, + { + "id": 13, + "data_source": "Mono3DRefer", + "scene_name": "000196", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [544.47, 200.46, 582.45, 236.89], \"box_3d\": [1.5, 1.62, 4.19, -2.2, 2.89, 34.51], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 14, + "data_source": "Mono3DRefer", + "scene_name": "000201", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [414.3, 184.11, 450.76, 211.85], \"box_3d\": [1.39, 1.81, 3.46, -9.6, 2.01, 38.84], \"ry\": -1.83}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [537.0, 179.7, 570.04, 205.31], \"box_3d\": [1.47, 1.55, 3.37, -3.48, 1.9, 43.72], \"ry\": -1.78}, {\"category\": \"Car\", \"angle\": 1.08, \"box_2d\": [805.19, 175.71, 1241.0, 374.0], \"box_3d\": [1.53, 1.57, 3.87, 2.89, 1.57, 5.71], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [660.38, 181.78, 785.64, 262.88], \"box_3d\": [1.45, 1.61, 3.34, 2.15, 1.64, 14.83], \"ry\": -1.72}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [315.1, 192.02, 414.65, 257.48], \"box_3d\": [1.34, 1.69, 3.6, -5.87, 1.85, 17.52], \"ry\": -1.73}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [609.11, 170.02, 691.23, 231.7], \"box_3d\": [1.69, 1.59, 3.77, 1.08, 1.64, 21.88], \"ry\": -1.76}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [560.14, 180.73, 607.61, 214.73], \"box_3d\": [1.49, 1.71, 3.58, -1.31, 1.87, 33.9], \"ry\": -1.75}]\n```" + } + ] + }, + { + "id": 15, + "data_source": "Mono3DRefer", + "scene_name": "000203", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [362.12, 193.89, 401.96, 217.66], \"box_3d\": [1.61, 1.75, 3.78, -16.83, 3.21, 53.36], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 16, + "data_source": "Mono3DRefer", + "scene_name": "000207", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [190.15, 187.39, 288.84, 234.38], \"box_3d\": [1.6, 1.78, 3.86, -13.92, 2.17, 27.3], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [152.24, 186.83, 248.19, 230.88], \"box_3d\": [1.65, 1.77, 3.85, -16.83, 2.25, 29.78], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [382.8, 183.82, 426.35, 208.22], \"box_3d\": [1.58, 1.82, 3.87, -14.12, 2.35, 49.73], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 17, + "data_source": "Mono3DRefer", + "scene_name": "000224", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [337.85, 180.82, 384.92, 202.94], \"box_3d\": [1.34, 1.73, 3.98, -15.97, 1.87, 46.47], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 18, + "data_source": "Mono3DRefer", + "scene_name": "000270", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [586.89, 171.29, 613.75, 197.83], \"box_3d\": [1.65, 1.67, 3.64, -0.67, 1.58, 47.13], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [339.18, 183.53, 411.69, 224.1], \"box_3d\": [1.44, 1.62, 4.02, -9.14, 1.88, 28.31], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [448.5, 176.73, 479.09, 201.42], \"box_3d\": [1.68, 1.67, 3.87, -10.42, 1.98, 51.53], \"ry\": 1.49}]\n```" + } + ] + }, + { + "id": 19, + "data_source": "Mono3DRefer", + "scene_name": "000279", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [529.35, 175.77, 586.32, 220.96], \"box_3d\": [1.46, 1.63, 4.47, -1.82, 1.59, 25.88], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [561.38, 166.68, 611.43, 202.09], \"box_3d\": [1.7, 1.82, 4.45, -1.17, 1.43, 37.12], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": -0.31, \"box_2d\": [603.29, 167.56, 648.34, 191.98], \"box_3d\": [1.57, 1.56, 2.62, 1.02, 1.24, 47.96], \"ry\": -0.29}, {\"category\": \"Car\", \"angle\": -2.76, \"box_2d\": [136.02, 173.18, 416.2, 263.58], \"box_3d\": [1.47, 1.68, 4.26, -5.88, 1.51, 12.99], \"ry\": 3.11}]\n```" + } + ] + }, + { + "id": 20, + "data_source": "Mono3DRefer", + "scene_name": "000283", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -3.11, \"box_2d\": [157.62, 189.29, 367.83, 264.9], \"box_3d\": [1.52, 1.41, 4.22, -7.93, 1.94, 16.71], \"ry\": 2.74}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [444.66, 188.24, 507.94, 233.45], \"box_3d\": [1.34, 1.64, 4.57, -4.54, 1.91, 24.83], \"ry\": 1.5}]\n```" + } + ] + }, + { + "id": 21, + "data_source": "Mono3DRefer", + "scene_name": "000305", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [553.79, 170.75, 579.89, 191.89], \"box_3d\": [1.48, 1.56, 3.62, -2.47, 0.72, 52.49], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.45, \"box_2d\": [549.27, 166.65, 589.32, 199.31], \"box_3d\": [1.67, 1.64, 4.32, -1.69, 0.91, 39.3], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -0.34, \"box_2d\": [298.85, 178.66, 437.73, 230.61], \"box_3d\": [1.5, 1.62, 3.88, -7.41, 1.43, 22.92], \"ry\": -0.66}, {\"category\": \"Car\", \"angle\": 0.29, \"box_2d\": [0.0, 182.25, 126.53, 243.88], \"box_3d\": [1.48, 1.7, 4.5, -15.05, 1.53, 18.42], \"ry\": -0.4}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [328.63, 171.03, 397.18, 204.53], \"box_3d\": [1.68, 1.67, 4.29, -12.66, 1.15, 38.44], \"ry\": 1.73}]\n```" + } + ] + }, + { + "id": 22, + "data_source": "Mono3DRefer", + "scene_name": "000312", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [233.68, 217.17, 431.03, 339.14], \"box_3d\": [1.27, 1.54, 3.58, -3.84, 2.01, 10.49], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [379.56, 194.15, 490.29, 279.0], \"box_3d\": [1.63, 1.65, 3.91, -3.93, 2.17, 16.63], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [611.12, 189.23, 649.32, 224.8], \"box_3d\": [1.46, 1.53, 3.17, 0.83, 2.22, 32.32], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 23, + "data_source": "Mono3DRefer", + "scene_name": "000328", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.37, \"box_2d\": [0.0, 234.92, 248.08, 374.0], \"box_3d\": [1.4, 1.62, 4.26, -3.56, 1.85, 3.23], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [129.16, 202.22, 390.23, 369.87], \"box_3d\": [1.46, 1.52, 3.48, -3.89, 1.87, 8.56], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [323.37, 195.32, 472.21, 289.27], \"box_3d\": [1.39, 1.6, 3.8, -3.76, 1.85, 13.3], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.92, \"box_2d\": [759.88, 184.24, 1074.29, 363.67], \"box_3d\": [1.46, 1.6, 4.52, 3.0, 1.61, 8.29], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [717.69, 179.18, 842.81, 268.58], \"box_3d\": [1.48, 1.56, 3.46, 3.06, 1.61, 13.77], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.77, \"box_2d\": [963.96, 148.16, 1139.34, 222.68], \"box_3d\": [2.05, 1.8, 3.95, 12.7, 1.4, 21.04], \"ry\": -2.98}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [641.09, 178.2, 688.13, 211.16], \"box_3d\": [1.51, 1.53, 3.38, 2.59, 1.79, 35.24], \"ry\": -1.73}, {\"category\": \"Car\", \"angle\": -1.9, \"box_2d\": [589.11, 181.99, 626.5, 203.04], \"box_3d\": [1.39, 1.54, 3.42, -0.21, 2.03, 50.01], \"ry\": -1.91}]\n```" + } + ] + }, + { + "id": 24, + "data_source": "Mono3DRefer", + "scene_name": "000346", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.29, \"box_2d\": [725.19, 176.13, 817.42, 215.67], \"box_3d\": [1.42, 1.56, 3.48, 6.17, 1.58, 28.07], \"ry\": -2.08}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [625.58, 176.88, 663.91, 203.47], \"box_3d\": [1.41, 1.51, 3.45, 1.87, 1.65, 40.32], \"ry\": -1.71}, {\"category\": \"Car\", \"angle\": -2.37, \"box_2d\": [925.17, 184.37, 1241.0, 374.0], \"box_3d\": [1.66, 1.66, 3.98, 2.95, 1.72, 2.79], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -2.41, \"box_2d\": [0.0, 166.63, 163.63, 358.89], \"box_3d\": [1.64, 1.59, 3.87, -6.78, 1.61, 6.93], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": 0.55, \"box_2d\": [0.0, 179.79, 350.52, 306.88], \"box_3d\": [1.52, 1.69, 3.68, -5.66, 1.63, 9.62], \"ry\": 0.03}, {\"category\": \"Car\", \"angle\": -2.63, \"box_2d\": [98.12, 181.89, 340.85, 276.69], \"box_3d\": [1.45, 1.55, 3.21, -6.44, 1.62, 12.04], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": -2.77, \"box_2d\": [276.07, 174.38, 418.72, 237.11], \"box_3d\": [1.57, 1.47, 3.23, -6.94, 1.63, 19.14], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": -2.84, \"box_2d\": [311.39, 179.05, 446.33, 230.94], \"box_3d\": [1.43, 1.57, 3.46, -6.76, 1.63, 21.19], \"ry\": 3.14}]\n```" + } + ] + }, + { + "id": 25, + "data_source": "Mono3DRefer", + "scene_name": "000357", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [573.22, 174.08, 611.54, 209.01], \"box_3d\": [1.6, 1.76, 3.84, -0.78, 1.08, 35.2], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -0.85, \"box_2d\": [0.0, 179.63, 106.98, 310.05], \"box_3d\": [1.61, 1.61, 3.68, -8.38, 1.55, 8.98], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.16, \"box_2d\": [148.83, 190.03, 391.12, 315.88], \"box_3d\": [1.43, 1.64, 3.99, -4.66, 1.53, 10.54], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.14, \"box_2d\": [185.38, 186.02, 331.59, 251.55], \"box_3d\": [1.4, 1.66, 4.07, -8.53, 1.44, 17.9], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.35, \"box_2d\": [394.98, 185.44, 483.98, 240.67], \"box_3d\": [1.35, 1.57, 3.72, -4.58, 1.37, 19.89], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.27, \"box_2d\": [334.51, 181.23, 406.12, 221.77], \"box_3d\": [1.44, 1.58, 3.66, -9.12, 1.3, 27.78], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.39, \"box_2d\": [435.92, 178.89, 497.2, 220.45], \"box_3d\": [1.49, 1.64, 3.95, -5.45, 1.26, 28.03], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.01, \"box_2d\": [56.79, 179.27, 215.8, 248.04], \"box_3d\": [1.6, 1.66, 3.82, -12.13, 1.45, 18.77], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 26, + "data_source": "Mono3DRefer", + "scene_name": "000362", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [696.42, 182.69, 843.91, 280.75], \"box_3d\": [1.49, 1.71, 3.58, 2.66, 1.68, 12.99], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [389.94, 193.33, 482.41, 254.78], \"box_3d\": [1.39, 1.81, 3.46, -4.52, 1.97, 19.07], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [653.64, 182.52, 716.85, 232.92], \"box_3d\": [1.47, 1.55, 3.37, 2.3, 1.8, 23.15], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [450.43, 182.09, 515.2, 229.97], \"box_3d\": [1.72, 1.8, 4.16, -4.94, 2.09, 28.36], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [496.53, 183.28, 532.5, 212.85], \"box_3d\": [1.62, 1.66, 3.81, -5.57, 2.25, 42.25], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [631.36, 179.19, 668.4, 210.8], \"box_3d\": [1.61, 1.67, 3.62, 2.08, 1.96, 38.95], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 27, + "data_source": "Mono3DRefer", + "scene_name": "000373", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 0.18, \"box_2d\": [165.71, 173.27, 325.33, 241.0], \"box_3d\": [1.77, 1.6, 3.79, -10.21, 1.8, 20.4], \"ry\": -0.28}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [479.93, 183.16, 530.73, 219.77], \"box_3d\": [1.66, 1.66, 3.98, -5.19, 2.17, 35.16], \"ry\": -1.92}, {\"category\": \"Car\", \"angle\": -2.66, \"box_2d\": [0.0, 165.51, 206.09, 290.61], \"box_3d\": [1.78, 1.65, 3.75, -8.67, 1.7, 11.22], \"ry\": 2.98}, {\"category\": \"Car\", \"angle\": -2.73, \"box_2d\": [13.5, 181.8, 264.86, 267.1], \"box_3d\": [1.49, 1.75, 3.73, -9.06, 1.69, 14.11], \"ry\": 2.99}, {\"category\": \"Car\", \"angle\": -2.8, \"box_2d\": [105.44, 182.48, 298.53, 250.73], \"box_3d\": [1.49, 1.64, 3.69, -9.69, 1.74, 17.32], \"ry\": 2.98}]\n```" + } + ] + }, + { + "id": 28, + "data_source": "Mono3DRefer", + "scene_name": "000378", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.39, \"box_2d\": [367.13, 181.05, 505.29, 233.31], \"box_3d\": [1.47, 1.72, 4.22, -5.44, 1.75, 22.92], \"ry\": 2.16}, {\"category\": \"Car\", \"angle\": 2.51, \"box_2d\": [581.28, 174.27, 707.53, 215.64], \"box_3d\": [1.48, 1.87, 4.74, 1.36, 1.56, 28.26], \"ry\": 2.56}, {\"category\": \"Car\", \"angle\": -0.14, \"box_2d\": [619.1, 168.59, 788.46, 234.89], \"box_3d\": [1.63, 1.69, 4.23, 2.36, 1.56, 19.14], \"ry\": -0.02}]\n```" + } + ] + }, + { + "id": 29, + "data_source": "Mono3DRefer", + "scene_name": "000401", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.87, \"box_2d\": [0.0, 198.12, 356.05, 374.0], \"box_3d\": [1.46, 1.68, 4.1, -2.8, 1.63, 3.23], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [659.29, 177.45, 766.69, 251.02], \"box_3d\": [1.49, 1.64, 4.17, 2.22, 1.61, 16.89], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.22, \"box_2d\": [85.17, 185.69, 416.22, 374.0], \"box_3d\": [1.44, 1.65, 4.25, -3.44, 1.61, 7.79], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.52, \"box_2d\": [510.43, 173.32, 556.99, 214.44], \"box_3d\": [1.6, 1.75, 3.89, -3.18, 1.65, 30.33], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [634.82, 172.77, 691.27, 215.4], \"box_3d\": [1.59, 1.64, 4.03, 2.04, 1.62, 29.24], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [535.67, 178.56, 567.07, 203.68], \"box_3d\": [1.46, 1.56, 3.21, -3.57, 1.82, 44.08], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [622.16, 170.42, 651.22, 200.63], \"box_3d\": [1.83, 1.75, 4.52, 1.66, 1.71, 46.27], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 30, + "data_source": "Mono3DRefer", + "scene_name": "000409", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [551.99, 170.51, 714.01, 326.62], \"box_3d\": [1.66, 1.73, 3.05, 0.2, 1.66, 9.29], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [452.53, 176.19, 481.78, 194.54], \"box_3d\": [1.47, 1.72, 4.39, -12.02, 1.78, 60.84], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 31, + "data_source": "Mono3DRefer", + "scene_name": "000413", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [581.85, 178.13, 617.81, 213.69], \"box_3d\": [1.65, 1.67, 3.64, -0.55, 1.93, 35.66], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [102.07, 186.6, 276.94, 279.58], \"box_3d\": [1.59, 1.57, 3.39, -8.22, 1.88, 14.37], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [364.12, 185.04, 435.41, 222.92], \"box_3d\": [1.35, 1.63, 4.1, -8.25, 1.85, 28.55], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 32, + "data_source": "Mono3DRefer", + "scene_name": "000428", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [543.68, 162.61, 586.17, 206.25], \"box_3d\": [1.91, 1.65, 4.4, -1.96, 1.12, 33.44], \"ry\": -1.7}]\n```" + } + ] + }, + { + "id": 33, + "data_source": "Mono3DRefer", + "scene_name": "000429", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [128.3, 193.63, 378.71, 329.79], \"box_3d\": [1.47, 1.66, 3.76, -4.72, 1.8, 10.11], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.16, \"box_2d\": [915.45, 193.81, 1241.0, 374.0], \"box_3d\": [1.47, 1.6, 3.7, 3.72, 1.67, 5.16], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [325.77, 186.96, 457.33, 264.19], \"box_3d\": [1.43, 1.68, 3.76, -4.63, 1.76, 15.71], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [782.2, 182.73, 979.38, 304.49], \"box_3d\": [1.49, 1.64, 3.52, 3.75, 1.65, 10.75], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [400.88, 184.88, 498.38, 239.16], \"box_3d\": [1.38, 1.68, 4.34, -4.59, 1.76, 21.12], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [724.05, 177.24, 844.27, 255.98], \"box_3d\": [1.5, 1.64, 4.14, 3.64, 1.61, 15.96], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [510.96, 178.89, 551.25, 208.88], \"box_3d\": [1.45, 1.6, 3.2, -4.03, 1.77, 36.95], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [706.21, 176.48, 783.27, 233.61], \"box_3d\": [1.51, 1.66, 3.5, 3.79, 1.63, 20.99], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [697.35, 175.2, 753.53, 219.69], \"box_3d\": [1.51, 1.61, 3.51, 4.13, 1.62, 26.48], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [685.22, 176.43, 733.92, 212.58], \"box_3d\": [1.49, 1.68, 3.8, 4.32, 1.67, 31.99], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 34, + "data_source": "Mono3DRefer", + "scene_name": "000453", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.42, \"box_2d\": [902.39, 157.2, 1063.73, 205.46], \"box_3d\": [1.51, 1.75, 4.45, 12.58, 0.78, 23.77], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": 1.52, \"box_2d\": [437.83, 172.24, 471.58, 199.6], \"box_3d\": [1.44, 1.64, 3.68, -8.45, 1.0, 39.6], \"ry\": 1.31}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [247.46, 175.43, 324.61, 214.58], \"box_3d\": [1.63, 1.78, 4.54, -14.37, 1.42, 32.11], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": -0.86, \"box_2d\": [0.0, 201.41, 303.97, 369.0], \"box_3d\": [1.5, 1.78, 3.69, -3.16, 1.68, 3.35], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 35, + "data_source": "Mono3DRefer", + "scene_name": "000457", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [582.61, 179.34, 617.01, 206.61], \"box_3d\": [1.26, 1.6, 3.56, -0.55, 1.59, 35.5], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [538.61, 179.58, 570.51, 204.14], \"box_3d\": [1.37, 1.63, 3.57, -3.26, 1.78, 42.65], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 36, + "data_source": "Mono3DRefer", + "scene_name": "000459", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [486.97, 181.39, 523.92, 215.4], \"box_3d\": [1.57, 1.55, 3.32, -5.12, 2.0, 35.4], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [496.08, 180.12, 531.92, 208.44], \"box_3d\": [1.56, 1.68, 3.91, -5.58, 1.99, 42.08], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -3.03, \"box_2d\": [310.88, 173.65, 433.53, 220.6], \"box_3d\": [1.77, 1.73, 4.53, -9.53, 1.83, 29.14], \"ry\": 2.94}]\n```" + } + ] + }, + { + "id": 37, + "data_source": "Mono3DRefer", + "scene_name": "000478", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [549.67, 171.16, 574.55, 193.69], \"box_3d\": [1.48, 1.56, 3.62, -2.65, 0.79, 49.39], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.31, \"box_2d\": [521.34, 168.33, 579.4, 206.63], \"box_3d\": [1.67, 1.64, 4.32, -2.32, 1.09, 33.73], \"ry\": -1.38}, {\"category\": \"Car\", \"angle\": 0.02, \"box_2d\": [131.53, 183.53, 292.83, 242.31], \"box_3d\": [1.5, 1.62, 3.88, -10.98, 1.58, 20.45], \"ry\": -0.47}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [328.66, 170.75, 397.22, 204.26], \"box_3d\": [1.68, 1.67, 4.29, -12.66, 1.14, 38.44], \"ry\": 1.73}]\n```" + } + ] + }, + { + "id": 38, + "data_source": "Mono3DRefer", + "scene_name": "000486", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [687.62, 180.27, 751.84, 228.76], \"box_3d\": [1.39, 1.45, 3.44, 3.34, 1.63, 22.68], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -2.33, \"box_2d\": [933.46, 184.83, 1241.0, 374.0], \"box_3d\": [1.46, 1.67, 3.89, 3.22, 1.54, 3.33], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [317.05, 189.17, 432.98, 261.68], \"box_3d\": [1.56, 1.63, 3.62, -5.74, 2.0, 17.94], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [727.81, 177.41, 893.29, 287.55], \"box_3d\": [1.51, 1.6, 3.54, 3.03, 1.6, 11.79], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [695.21, 177.9, 797.53, 249.66], \"box_3d\": [1.53, 1.5, 3.34, 3.11, 1.67, 17.28], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [396.59, 189.0, 467.44, 240.34], \"box_3d\": [1.46, 1.43, 3.52, -5.64, 2.0, 23.04], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 39, + "data_source": "Mono3DRefer", + "scene_name": "000510", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.27, \"box_2d\": [0.0, 210.72, 279.62, 352.71], \"box_3d\": [1.47, 1.58, 3.55, -6.26, 1.98, 9.08], \"ry\": -2.86}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [644.99, 175.97, 737.72, 252.69], \"box_3d\": [1.6, 1.75, 3.89, 2.0, 1.69, 17.11], \"ry\": -1.35}, {\"category\": \"Car\", \"angle\": -1.87, \"box_2d\": [885.08, 167.18, 1040.96, 258.45], \"box_3d\": [1.59, 1.64, 4.03, 6.91, 1.52, 14.67], \"ry\": -1.44}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [861.14, 170.63, 958.62, 229.14], \"box_3d\": [1.5, 1.8, 4.5, 8.48, 1.47, 20.88], \"ry\": -1.36}, {\"category\": \"Car\", \"angle\": -1.47, \"box_2d\": [711.88, 179.06, 756.95, 215.9], \"box_3d\": [1.46, 1.56, 3.21, 5.26, 1.74, 30.47], \"ry\": -1.3}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [840.6, 162.79, 888.64, 208.68], \"box_3d\": [1.83, 1.75, 4.52, 10.87, 1.45, 31.1], \"ry\": -1.27}]\n```" + } + ] + }, + { + "id": 40, + "data_source": "Mono3DRefer", + "scene_name": "000558", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.95, \"box_2d\": [0.0, 180.41, 161.24, 261.69], \"box_3d\": [1.6, 1.66, 3.82, -12.07, 1.5, 16.12], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [572.92, 174.19, 611.89, 209.71], \"box_3d\": [1.6, 1.76, 3.84, -0.77, 1.1, 34.65], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.05, \"box_2d\": [0.0, 193.32, 336.11, 375.0], \"box_3d\": [1.43, 1.64, 3.99, -4.62, 1.56, 7.89], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.07, \"box_2d\": [103.07, 187.44, 290.9, 266.29], \"box_3d\": [1.4, 1.66, 4.07, -8.51, 1.47, 15.29], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.32, \"box_2d\": [359.34, 187.11, 467.84, 252.58], \"box_3d\": [1.35, 1.57, 3.72, -4.54, 1.42, 17.17], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.24, \"box_2d\": [305.29, 181.74, 388.31, 227.12], \"box_3d\": [1.44, 1.58, 3.66, -9.02, 1.34, 25.05], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.37, \"box_2d\": [417.33, 179.31, 487.71, 225.8], \"box_3d\": [1.49, 1.64, 3.95, -5.39, 1.3, 25.27], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 41, + "data_source": "Mono3DRefer", + "scene_name": "000564", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [247.81, 194.06, 501.75, 370.17], \"box_3d\": [1.45, 1.62, 3.83, -2.39, 1.74, 8.22], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [545.17, 180.12, 608.18, 224.86], \"box_3d\": [1.43, 1.66, 3.67, -1.12, 1.7, 25.18], \"ry\": 1.67}]\n```" + } + ] + }, + { + "id": 42, + "data_source": "Mono3DRefer", + "scene_name": "000601", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [273.88, 185.2, 340.43, 218.41], \"box_3d\": [1.52, 1.76, 3.66, -14.99, 2.16, 35.84], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [587.49, 173.79, 609.79, 195.27], \"box_3d\": [1.66, 1.73, 3.05, -0.91, 1.76, 58.01], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 43, + "data_source": "Mono3DRefer", + "scene_name": "000630", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [592.75, 170.94, 625.64, 202.61], \"box_3d\": [1.66, 1.73, 3.05, -0.07, 1.59, 39.82], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 44, + "data_source": "Mono3DRefer", + "scene_name": "000644", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [526.27, 176.52, 575.79, 214.4], \"box_3d\": [1.45, 1.62, 3.83, -2.41, 1.62, 29.84], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.59, \"box_2d\": [575.39, 174.31, 603.05, 198.28], \"box_3d\": [1.43, 1.66, 3.67, -1.3, 1.55, 45.52], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 45, + "data_source": "Mono3DRefer", + "scene_name": "000658", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [401.46, 180.6, 462.4, 219.44], \"box_3d\": [1.48, 1.64, 3.59, -7.28, 1.81, 29.65], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 46, + "data_source": "Mono3DRefer", + "scene_name": "000670", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [532.21, 182.23, 583.47, 216.23], \"box_3d\": [1.5, 1.7, 3.77, -2.45, 1.97, 34.34], \"ry\": 1.7}]\n```" + } + ] + }, + { + "id": 47, + "data_source": "Mono3DRefer", + "scene_name": "000729", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 0.19, \"box_2d\": [359.52, 174.25, 504.16, 222.91], \"box_3d\": [1.5, 1.66, 4.4, -5.83, 1.58, 23.84], \"ry\": -0.05}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [665.34, 178.28, 735.27, 229.03], \"box_3d\": [1.41, 1.62, 4.19, 2.66, 1.6, 22.4], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.15, \"box_2d\": [730.19, 173.0, 823.27, 212.41], \"box_3d\": [1.42, 1.59, 3.21, 6.23, 1.45, 27.38], \"ry\": 0.07}, {\"category\": \"Car\", \"angle\": 0.77, \"box_2d\": [0.0, 157.82, 184.87, 370.99], \"box_3d\": [1.68, 1.71, 4.07, -6.46, 1.59, 6.57], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -2.58, \"box_2d\": [0.0, 175.32, 299.29, 314.94], \"box_3d\": [1.53, 1.7, 4.32, -6.41, 1.59, 8.89], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 0.4, \"box_2d\": [181.37, 171.69, 428.79, 255.99], \"box_3d\": [1.54, 1.78, 4.2, -6.01, 1.55, 14.45], \"ry\": 0.01}]\n```" + } + ] + }, + { + "id": 48, + "data_source": "Mono3DRefer", + "scene_name": "000754", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [424.44, 187.64, 524.16, 266.72], \"box_3d\": [1.46, 1.6, 3.33, -2.83, 1.8, 15.45], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [676.58, 176.34, 781.77, 260.01], \"box_3d\": [1.64, 1.7, 3.54, 2.49, 1.74, 16.08], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [664.96, 185.88, 735.92, 240.06], \"box_3d\": [1.37, 1.51, 3.39, 2.44, 1.76, 20.48], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [534.25, 181.92, 570.01, 211.97], \"box_3d\": [1.55, 1.68, 4.42, -3.19, 2.07, 40.05], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 49, + "data_source": "Mono3DRefer", + "scene_name": "000766", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.22, \"box_2d\": [763.02, 175.47, 853.81, 211.96], \"box_3d\": [1.62, 1.58, 3.78, 9.11, 1.76, 33.45], \"ry\": 0.05}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [661.28, 174.22, 682.9, 193.97], \"box_3d\": [1.47, 1.55, 3.67, 4.79, 1.6, 56.2], \"ry\": -1.52}]\n```" + } + ] + }, + { + "id": 50, + "data_source": "Mono3DRefer", + "scene_name": "000772", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.24, \"box_2d\": [1141.49, 173.73, 1241.0, 272.86], \"box_3d\": [1.65, 1.67, 3.64, 11.72, 1.67, 13.43], \"ry\": -0.53}, {\"category\": \"Car\", \"angle\": 2.22, \"box_2d\": [901.27, 174.98, 1037.57, 233.75], \"box_3d\": [1.59, 1.55, 3.93, 10.65, 1.68, 21.42], \"ry\": 2.68}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [1107.36, 178.76, 1221.84, 222.99], \"box_3d\": [1.47, 1.57, 4.24, 20.12, 1.71, 26.19], \"ry\": 2.68}]\n```" + } + ] + }, + { + "id": 51, + "data_source": "Mono3DRefer", + "scene_name": "000790", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.33, \"box_2d\": [631.31, 166.25, 712.0, 224.24], \"box_3d\": [1.79, 1.72, 4.35, 1.96, 1.61, 24.68], \"ry\": 1.41}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [412.54, 184.6, 468.42, 231.64], \"box_3d\": [1.45, 1.49, 4.07, -5.8, 1.87, 24.85], \"ry\": 1.43}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [445.6, 187.03, 486.07, 217.34], \"box_3d\": [1.27, 1.54, 3.58, -6.61, 1.94, 33.16], \"ry\": 1.45}]\n```" + } + ] + }, + { + "id": 52, + "data_source": "Mono3DRefer", + "scene_name": "000795", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -3.05, \"box_2d\": [980.19, 171.36, 1202.98, 239.62], \"box_3d\": [1.49, 1.53, 4.38, 11.62, 1.49, 17.68], \"ry\": -2.48}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [501.49, 182.06, 556.38, 219.63], \"box_3d\": [1.61, 1.74, 4.06, -3.72, 2.05, 33.48], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [689.93, 174.39, 719.15, 203.3], \"box_3d\": [1.77, 1.77, 5.1, 6.13, 1.9, 47.2], \"ry\": -1.45}, {\"category\": \"Car\", \"angle\": 0.38, \"box_2d\": [240.46, 186.37, 349.64, 221.23], \"box_3d\": [1.5, 1.87, 4.23, -14.54, 2.16, 33.39], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [753.18, 189.21, 912.75, 286.1], \"box_3d\": [1.38, 1.73, 3.97, 3.67, 1.71, 12.74], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 2.98, \"box_2d\": [1198.09, 156.73, 1241.0, 264.99], \"box_3d\": [1.74, 1.58, 3.9, 11.79, 1.46, 11.33], \"ry\": -2.51}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [721.72, 182.39, 815.61, 249.62], \"box_3d\": [1.5, 1.62, 4.11, 3.87, 1.76, 18.4], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [474.47, 183.45, 539.95, 226.98], \"box_3d\": [1.58, 1.68, 3.76, -4.03, 2.02, 28.59], \"ry\": 1.68}]\n```" + } + ] + }, + { + "id": 53, + "data_source": "Mono3DRefer", + "scene_name": "000801", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [626.6, 173.38, 741.32, 276.5], \"box_3d\": [1.46, 1.53, 3.17, 1.05, 1.49, 11.91], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 54, + "data_source": "Mono3DRefer", + "scene_name": "000812", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [588.14, 171.35, 638.34, 219.68], \"box_3d\": [1.66, 1.73, 3.05, 0.07, 1.64, 26.61], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 55, + "data_source": "Mono3DRefer", + "scene_name": "000838", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.17, \"box_2d\": [655.83, 180.72, 747.16, 211.9], \"box_3d\": [1.45, 1.6, 4.23, 4.43, 1.86, 35.5], \"ry\": -0.05}]\n```" + } + ] + }, + { + "id": 56, + "data_source": "Mono3DRefer", + "scene_name": "000843", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.23, \"box_2d\": [0.0, 210.68, 198.6, 374.0], \"box_3d\": [1.42, 1.54, 3.5, -6.05, 1.89, 7.43], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [734.16, 174.44, 928.73, 297.74], \"box_3d\": [1.51, 1.75, 3.78, 3.03, 1.56, 10.84], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [173.86, 197.53, 364.42, 293.14], \"box_3d\": [1.36, 1.51, 4.02, -5.98, 1.86, 13.1], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [359.02, 179.63, 454.33, 245.15], \"box_3d\": [1.74, 1.65, 4.11, -5.93, 1.95, 21.37], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [549.8, 178.34, 579.83, 199.3], \"box_3d\": [1.41, 1.76, 4.4, -3.19, 1.81, 51.25], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [417.11, 180.0, 484.05, 225.35], \"box_3d\": [1.61, 1.64, 4.0, -6.1, 1.9, 27.86], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [472.42, 182.37, 515.91, 211.04], \"box_3d\": [1.43, 1.7, 3.74, -6.17, 1.96, 38.6], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [639.59, 175.1, 662.2, 194.49], \"box_3d\": [1.55, 1.66, 4.15, 3.37, 1.76, 60.25], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 2.98, \"box_2d\": [697.03, 169.1, 764.3, 190.14], \"box_3d\": [1.47, 1.7, 4.65, 8.81, 1.24, 53.04], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 57, + "data_source": "Mono3DRefer", + "scene_name": "000852", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [406.46, 187.77, 497.51, 254.53], \"box_3d\": [1.39, 1.48, 3.76, -3.75, 1.78, 17.48], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [529.45, 177.68, 564.3, 204.79], \"box_3d\": [1.46, 1.75, 4.23, -3.61, 1.76, 41.53], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 58, + "data_source": "Mono3DRefer", + "scene_name": "000863", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.0, \"box_2d\": [853.02, 174.67, 1241.0, 374.0], \"box_3d\": [1.57, 1.56, 2.62, 2.6, 1.6, 4.41], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [636.63, 177.66, 671.72, 201.34], \"box_3d\": [1.5, 1.7, 3.77, 2.96, 1.84, 48.04], \"ry\": 1.8}]\n```" + } + ] + }, + { + "id": 59, + "data_source": "Mono3DRefer", + "scene_name": "000949", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.12, \"box_2d\": [73.24, 186.87, 231.16, 246.07], \"box_3d\": [1.55, 1.88, 4.59, -13.68, 2.0, 21.88], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 60, + "data_source": "Mono3DRefer", + "scene_name": "000988", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.04, \"box_2d\": [199.0, 190.86, 280.35, 225.96], \"box_3d\": [1.38, 1.8, 3.41, -16.08, 2.2, 31.43], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [388.38, 183.3, 429.67, 203.17], \"box_3d\": [1.45, 1.74, 3.42, -15.45, 2.27, 55.56], \"ry\": 1.75}]\n```" + } + ] + }, + { + "id": 61, + "data_source": "Mono3DRefer", + "scene_name": "000991", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [609.0, 175.97, 649.27, 216.41], \"box_3d\": [1.57, 1.56, 2.62, 0.75, 1.72, 29.63], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [415.78, 186.79, 516.72, 248.26], \"box_3d\": [1.43, 1.68, 4.19, -3.77, 1.83, 19.45], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [480.68, 183.82, 537.9, 228.62], \"box_3d\": [1.46, 1.59, 4.27, -3.62, 1.88, 26.25], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [518.65, 179.79, 559.57, 207.68], \"box_3d\": [1.38, 1.62, 4.06, -3.72, 1.76, 38.15], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [545.82, 173.97, 573.17, 195.06], \"box_3d\": [1.49, 1.53, 3.88, -3.73, 1.6, 53.48], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 62, + "data_source": "Mono3DRefer", + "scene_name": "001065", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.9, \"box_2d\": [746.12, 184.82, 1011.23, 339.89], \"box_3d\": [1.36, 1.55, 3.87, 2.75, 1.52, 8.45], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [681.97, 169.16, 770.57, 243.71], \"box_3d\": [1.62, 1.48, 3.36, 2.69, 1.57, 17.56], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 0.42, \"box_2d\": [225.97, 174.51, 437.53, 249.06], \"box_3d\": [1.55, 1.7, 4.09, -6.19, 1.62, 16.2], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": -2.85, \"box_2d\": [311.86, 159.5, 443.96, 229.56], \"box_3d\": [1.95, 1.67, 3.35, -6.79, 1.59, 21.23], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": 0.23, \"box_2d\": [394.04, 174.68, 500.06, 215.61], \"box_3d\": [1.43, 1.49, 3.56, -5.99, 1.52, 26.6], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 0.21, \"box_2d\": [418.84, 171.89, 517.76, 212.18], \"box_3d\": [1.53, 1.6, 3.62, -5.66, 1.52, 28.88], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 0.12, \"box_2d\": [472.05, 161.29, 541.05, 193.65], \"box_3d\": [2.08, 1.8, 4.37, -6.9, 1.35, 48.27], \"ry\": -0.02}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [650.97, 174.73, 694.79, 208.86], \"box_3d\": [1.38, 1.49, 3.38, 2.64, 1.49, 31.26], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.34, \"box_2d\": [928.17, 160.85, 1241.0, 374.0], \"box_3d\": [1.66, 1.74, 3.65, 2.75, 1.62, 2.5], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 63, + "data_source": "Mono3DRefer", + "scene_name": "001068", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [515.71, 166.73, 562.9, 209.2], \"box_3d\": [2.11, 2.04, 4.62, -3.23, 1.37, 38.35], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 64, + "data_source": "Mono3DRefer", + "scene_name": "001084", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [501.36, 176.72, 568.58, 229.86], \"box_3d\": [1.46, 1.63, 4.47, -2.26, 1.6, 22.36], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [543.9, 166.03, 599.42, 205.38], \"box_3d\": [1.7, 1.82, 4.45, -1.74, 1.43, 33.63], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": -0.53, \"box_2d\": [603.83, 168.41, 652.99, 194.39], \"box_3d\": [1.57, 1.56, 2.62, 1.12, 1.31, 45.07], \"ry\": -0.5}, {\"category\": \"Car\", \"angle\": -2.63, \"box_2d\": [0.0, 174.25, 334.18, 301.26], \"box_3d\": [1.47, 1.68, 4.26, -6.11, 1.52, 9.44], \"ry\": 3.09}]\n```" + } + ] + }, + { + "id": 65, + "data_source": "Mono3DRefer", + "scene_name": "001089", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [0.0, 131.13, 296.73, 374.0], \"box_3d\": [2.01, 1.89, 4.91, -4.94, 1.7, 8.36], \"ry\": 1.24}, {\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [300.57, 185.39, 356.93, 235.41], \"box_3d\": [1.65, 1.67, 3.81, -10.21, 2.12, 26.29], \"ry\": -1.88}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [493.74, 182.35, 552.96, 231.2], \"box_3d\": [1.52, 1.51, 3.1, -3.03, 1.85, 24.44], \"ry\": -1.85}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [470.96, 183.54, 524.95, 224.92], \"box_3d\": [1.53, 1.58, 3.53, -4.58, 1.97, 28.9], \"ry\": -1.89}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [455.42, 182.65, 486.04, 209.51], \"box_3d\": [1.46, 1.6, 3.71, -8.11, 2.03, 41.7], \"ry\": -1.79}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [515.32, 181.89, 608.01, 251.21], \"box_3d\": [1.57, 1.72, 3.52, -1.37, 1.81, 18.41], \"ry\": -1.82}]\n```" + } + ] + }, + { + "id": 66, + "data_source": "Mono3DRefer", + "scene_name": "001097", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.27, \"box_2d\": [0.0, 192.2, 290.4, 374.0], \"box_3d\": [1.55, 1.64, 3.7, -3.5, 1.7, 4.01], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.38, \"box_2d\": [461.32, 164.7, 592.81, 259.2], \"box_3d\": [1.63, 1.81, 4.54, -1.55, 1.52, 14.81], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [826.88, 170.66, 955.42, 286.93], \"box_3d\": [1.47, 1.54, 3.02, 4.1, 1.46, 10.78], \"ry\": -1.22}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [314.89, 180.93, 450.86, 259.92], \"box_3d\": [1.42, 1.58, 4.08, -4.63, 1.6, 15.17], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.1, \"box_2d\": [856.51, 162.96, 1019.92, 241.86], \"box_3d\": [1.5, 1.52, 4.12, 7.14, 1.32, 15.6], \"ry\": -0.68}]\n```" + } + ] + }, + { + "id": 67, + "data_source": "Mono3DRefer", + "scene_name": "001115", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [260.12, 187.25, 311.49, 215.63], \"box_3d\": [1.54, 1.85, 2.47, -18.69, 2.4, 41.62], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 68, + "data_source": "Mono3DRefer", + "scene_name": "001139", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [449.98, 180.21, 502.92, 221.07], \"box_3d\": [1.74, 1.65, 4.11, -6.07, 2.08, 33.03], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [473.87, 182.47, 516.23, 213.79], \"box_3d\": [1.61, 1.64, 4.0, -6.3, 2.15, 39.74], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -0.9, \"box_2d\": [0.0, 203.29, 108.07, 252.45], \"box_3d\": [1.49, 1.7, 4.51, -20.82, 2.69, 26.37], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [323.16, 194.37, 423.96, 256.75], \"box_3d\": [1.42, 1.54, 3.5, -6.19, 2.03, 19.13], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [669.64, 175.01, 741.45, 227.94], \"box_3d\": [1.51, 1.75, 3.78, 2.88, 1.6, 22.75], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [390.31, 191.3, 466.05, 237.13], \"box_3d\": [1.36, 1.51, 4.02, -6.14, 2.03, 24.63], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 69, + "data_source": "Mono3DRefer", + "scene_name": "001140", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [60.48, 202.06, 304.03, 326.8], \"box_3d\": [1.42, 1.54, 3.5, -6.08, 1.91, 10.66], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [706.87, 174.2, 840.44, 264.18], \"box_3d\": [1.51, 1.75, 3.78, 3.0, 1.56, 14.16], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [272.47, 193.92, 408.03, 266.98], \"box_3d\": [1.36, 1.51, 4.02, -5.97, 1.88, 16.34], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [395.15, 179.2, 473.39, 235.36], \"box_3d\": [1.74, 1.65, 4.11, -5.92, 1.97, 24.59], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [439.95, 182.55, 497.67, 223.04], \"box_3d\": [1.61, 1.64, 4.0, -6.06, 2.04, 31.2], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [638.0, 175.89, 659.23, 194.26], \"box_3d\": [1.55, 1.66, 4.15, 3.35, 1.84, 63.5], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 70, + "data_source": "Mono3DRefer", + "scene_name": "001144", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [527.93, 200.8, 570.54, 240.13], \"box_3d\": [1.5, 1.62, 4.19, -2.68, 2.82, 32.15], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 71, + "data_source": "Mono3DRefer", + "scene_name": "001177", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [358.07, 183.23, 412.27, 210.05], \"box_3d\": [1.51, 1.86, 3.91, -13.5, 2.15, 43.45], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 72, + "data_source": "Mono3DRefer", + "scene_name": "001236", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [204.63, 185.94, 290.87, 223.36], \"box_3d\": [1.49, 1.76, 4.01, -15.8, 2.09, 31.64], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [327.16, 184.42, 376.76, 208.21], \"box_3d\": [1.38, 1.8, 3.41, -15.93, 2.11, 44.64], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 73, + "data_source": "Mono3DRefer", + "scene_name": "001243", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [593.57, 178.95, 640.87, 225.65], \"box_3d\": [1.65, 1.67, 3.64, 0.28, 1.89, 27.54], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [175.1, 186.35, 345.0, 258.92], \"box_3d\": [1.4, 1.68, 4.45, -7.87, 1.74, 16.67], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [371.83, 184.42, 443.35, 227.61], \"box_3d\": [1.45, 1.62, 3.77, -7.46, 1.9, 26.8], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [429.0, 182.09, 479.75, 215.98], \"box_3d\": [1.53, 1.46, 4.18, -7.56, 2.0, 35.24], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [470.6, 181.14, 504.24, 207.65], \"box_3d\": [1.59, 1.57, 3.39, -7.7, 2.12, 45.4], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [491.57, 182.66, 522.06, 202.01], \"box_3d\": [1.35, 1.63, 4.1, -7.62, 2.09, 53.42], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 74, + "data_source": "Mono3DRefer", + "scene_name": "001251", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [481.38, 180.09, 513.66, 202.6], \"box_3d\": [1.51, 1.51, 4.15, -7.9, 2.02, 50.83], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 75, + "data_source": "Mono3DRefer", + "scene_name": "001260", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.82, \"box_2d\": [827.59, 173.26, 1150.0, 336.98], \"box_3d\": [1.6, 1.57, 3.23, 4.36, 1.63, 8.45], \"ry\": -0.36}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [1099.05, 177.83, 1241.0, 314.21], \"box_3d\": [1.57, 1.5, 3.68, 8.59, 1.64, 9.73], \"ry\": 2.78}]\n```" + } + ] + }, + { + "id": 76, + "data_source": "Mono3DRefer", + "scene_name": "001268", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.19, \"box_2d\": [133.44, 190.08, 455.8, 374.0], \"box_3d\": [1.47, 1.6, 3.66, -2.83, 1.67, 7.27], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [502.5, 172.92, 566.96, 222.27], \"box_3d\": [1.7, 1.63, 4.08, -2.78, 1.73, 27.1], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [692.9, 175.68, 790.84, 261.47], \"box_3d\": [1.59, 1.59, 2.47, 2.56, 1.66, 14.71], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [678.39, 185.69, 747.06, 242.04], \"box_3d\": [1.37, 1.59, 3.22, 2.68, 1.74, 19.64], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": 1.54, \"box_2d\": [641.6, 177.73, 665.92, 199.41], \"box_3d\": [1.49, 1.61, 3.74, 3.09, 1.85, 51.85], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 77, + "data_source": "Mono3DRefer", + "scene_name": "001271", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [252.9, 173.87, 448.96, 296.63], \"box_3d\": [1.5, 1.62, 4.19, -3.73, 1.55, 11.04], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [638.02, 187.14, 663.03, 207.15], \"box_3d\": [1.41, 1.58, 4.36, 3.03, 2.53, 55.02], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 78, + "data_source": "Mono3DRefer", + "scene_name": "001303", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.31, \"box_2d\": [341.6, 180.66, 483.83, 236.05], \"box_3d\": [1.47, 1.72, 4.22, -5.83, 1.72, 21.71], \"ry\": 2.05}, {\"category\": \"Car\", \"angle\": 2.55, \"box_2d\": [566.09, 173.3, 697.62, 216.04], \"box_3d\": [1.48, 1.87, 4.74, 0.84, 1.52, 27.36], \"ry\": 2.58}, {\"category\": \"Car\", \"angle\": -0.25, \"box_2d\": [686.37, 165.77, 866.43, 233.82], \"box_3d\": [1.63, 1.69, 4.23, 4.18, 1.49, 18.68], \"ry\": -0.04}]\n```" + } + ] + }, + { + "id": 79, + "data_source": "Mono3DRefer", + "scene_name": "001304", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [600.35, 174.09, 630.17, 202.81], \"box_3d\": [1.66, 1.73, 3.05, 0.28, 1.76, 43.75], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.15, \"box_2d\": [71.19, 198.56, 187.22, 247.73], \"box_3d\": [1.43, 1.56, 3.5, -16.09, 2.35, 24.3], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [416.51, 185.22, 451.27, 206.36], \"box_3d\": [1.44, 1.63, 3.43, -12.75, 2.36, 52.33], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 80, + "data_source": "Mono3DRefer", + "scene_name": "001350", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [583.52, 169.94, 605.61, 187.44], \"box_3d\": [1.26, 1.6, 3.56, -1.2, 1.07, 54.32], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 81, + "data_source": "Mono3DRefer", + "scene_name": "001432", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [650.77, 187.15, 702.31, 227.15], \"box_3d\": [1.41, 1.58, 4.36, 2.53, 2.0, 28.63], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 82, + "data_source": "Mono3DRefer", + "scene_name": "001435", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [664.13, 178.09, 715.62, 228.43], \"box_3d\": [1.65, 1.67, 3.64, 2.81, 1.85, 25.6], \"ry\": -1.45}, {\"category\": \"Car\", \"angle\": 2.43, \"box_2d\": [0.0, 186.97, 146.96, 329.51], \"box_3d\": [1.47, 1.57, 4.24, -7.22, 1.65, 7.56], \"ry\": 1.68}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [376.49, 182.86, 480.64, 233.73], \"box_3d\": [1.4, 1.68, 4.45, -5.55, 1.73, 22.49], \"ry\": 1.68}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [485.88, 181.89, 543.69, 217.36], \"box_3d\": [1.45, 1.62, 3.77, -4.18, 1.87, 31.92], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [527.93, 180.26, 568.05, 209.26], \"box_3d\": [1.53, 1.46, 4.18, -3.46, 1.96, 40.58], \"ry\": 1.68}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [557.36, 179.24, 588.56, 203.32], \"box_3d\": [1.59, 1.57, 3.39, -2.53, 2.03, 49.62], \"ry\": 1.69}]\n```" + } + ] + }, + { + "id": 83, + "data_source": "Mono3DRefer", + "scene_name": "001478", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [712.2, 173.64, 809.45, 240.67], \"box_3d\": [1.38, 1.64, 3.51, 3.33, 1.42, 16.71], \"ry\": -1.53}]\n```" + } + ] + }, + { + "id": 84, + "data_source": "Mono3DRefer", + "scene_name": "001480", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [338.11, 186.05, 393.26, 215.41], \"box_3d\": [1.48, 1.71, 3.54, -13.25, 2.22, 39.24], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 85, + "data_source": "Mono3DRefer", + "scene_name": "001497", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [556.06, 185.21, 714.24, 334.53], \"box_3d\": [1.49, 1.6, 3.83, 0.21, 1.67, 9.3], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.06, \"box_2d\": [0.0, 180.02, 378.37, 374.0], \"box_3d\": [1.59, 1.65, 4.04, -3.32, 1.65, 5.58], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.39, \"box_2d\": [433.24, 179.39, 523.66, 238.47], \"box_3d\": [1.46, 1.73, 4.19, -3.59, 1.66, 20.16], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [690.62, 178.33, 747.69, 216.58], \"box_3d\": [1.42, 1.66, 4.18, 4.31, 1.66, 29.28], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 86, + "data_source": "Mono3DRefer", + "scene_name": "001502", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.56, \"box_2d\": [652.66, 137.25, 680.2, 164.35], \"box_3d\": [1.5, 1.62, 4.19, 3.46, -0.58, 45.01], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 87, + "data_source": "Mono3DRefer", + "scene_name": "001555", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [379.71, 188.91, 487.14, 256.15], \"box_3d\": [1.38, 1.62, 4.06, -4.19, 1.8, 17.54], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [486.66, 177.24, 537.9, 212.37], \"box_3d\": [1.49, 1.53, 3.88, -4.41, 1.71, 32.84], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [612.29, 173.8, 661.58, 223.27], \"box_3d\": [1.57, 1.56, 2.62, 0.86, 1.62, 24.46], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 2.09, \"box_2d\": [0.0, 201.34, 313.6, 374.0], \"box_3d\": [1.46, 1.59, 4.27, -3.96, 1.76, 5.72], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 88, + "data_source": "Mono3DRefer", + "scene_name": "001557", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.24, \"box_2d\": [0.0, 216.87, 331.33, 374.0], \"box_3d\": [1.46, 1.6, 3.33, -2.62, 1.73, 2.95], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -2.25, \"box_2d\": [890.89, 180.3, 1241.0, 374.0], \"box_3d\": [1.64, 1.7, 3.54, 2.67, 1.68, 2.99], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [760.27, 199.31, 1029.66, 374.0], \"box_3d\": [1.37, 1.51, 3.39, 2.66, 1.7, 7.66], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [514.2, 181.94, 569.91, 227.54], \"box_3d\": [1.55, 1.68, 4.42, -2.51, 1.91, 27.16], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [655.69, 183.45, 697.23, 219.16], \"box_3d\": [1.6, 1.53, 4.18, 3.14, 2.13, 35.02], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 89, + "data_source": "Mono3DRefer", + "scene_name": "001645", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.39, \"box_2d\": [667.67, 175.73, 766.65, 253.18], \"box_3d\": [1.62, 1.58, 3.89, 2.38, 1.71, 17.18], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [460.77, 182.05, 532.37, 231.7], \"box_3d\": [1.45, 1.67, 4.43, -3.66, 1.77, 23.7], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [645.79, 182.91, 712.07, 231.73], \"box_3d\": [1.47, 1.59, 3.62, 2.17, 1.81, 23.94], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [0.0, 192.85, 379.29, 374.0], \"box_3d\": [1.45, 1.64, 4.21, -3.6, 1.68, 6.73], \"ry\": 1.52}]\n```" + } + ] + }, + { + "id": 90, + "data_source": "Mono3DRefer", + "scene_name": "001650", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [658.58, 188.93, 699.46, 220.61], \"box_3d\": [1.41, 1.58, 4.36, 3.33, 2.24, 35.82], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 91, + "data_source": "Mono3DRefer", + "scene_name": "001660", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.13, \"box_2d\": [99.31, 192.23, 207.39, 236.54], \"box_3d\": [1.67, 1.82, 4.42, -19.47, 2.55, 30.96], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [296.23, 186.6, 353.98, 217.38], \"box_3d\": [1.63, 1.87, 3.47, -16.22, 2.44, 41.17], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 92, + "data_source": "Mono3DRefer", + "scene_name": "001665", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [0.0, 190.82, 367.85, 374.0], \"box_3d\": [1.63, 1.65, 3.91, -3.77, 1.84, 6.72], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [615.94, 183.71, 672.36, 235.8], \"box_3d\": [1.46, 1.53, 3.17, 0.95, 1.81, 22.23], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 93, + "data_source": "Mono3DRefer", + "scene_name": "001680", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [679.85, 176.37, 727.39, 217.44], \"box_3d\": [1.62, 1.58, 3.89, 3.87, 1.78, 30.6], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [551.99, 179.13, 595.59, 209.17], \"box_3d\": [1.45, 1.67, 4.43, -1.84, 1.79, 37.4], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [470.23, 177.58, 550.59, 235.61], \"box_3d\": [1.45, 1.64, 4.21, -2.73, 1.6, 20.34], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 94, + "data_source": "Mono3DRefer", + "scene_name": "001684", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.1, \"box_2d\": [137.77, 195.23, 224.19, 232.96], \"box_3d\": [1.49, 1.81, 3.36, -18.91, 2.53, 31.9], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.64, \"box_2d\": [949.6, 178.63, 1008.5, 198.87], \"box_3d\": [1.42, 1.58, 3.48, 26.9, 1.86, 52.68], \"ry\": 3.11}]\n```" + } + ] + }, + { + "id": 95, + "data_source": "Mono3DRefer", + "scene_name": "001694", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [473.59, 194.81, 535.33, 244.8], \"box_3d\": [1.5, 1.62, 4.19, -3.64, 2.32, 25.24], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 96, + "data_source": "Mono3DRefer", + "scene_name": "001710", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [166.29, 195.94, 447.83, 354.92], \"box_3d\": [1.44, 1.64, 3.78, -3.42, 1.77, 8.87], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [353.92, 174.9, 517.9, 290.67], \"box_3d\": [1.77, 1.71, 4.28, -3.0, 1.83, 13.24], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [716.04, 186.48, 799.74, 241.14], \"box_3d\": [1.45, 1.71, 3.93, 4.31, 1.89, 21.77], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [489.19, 180.79, 565.62, 242.43], \"box_3d\": [1.73, 1.65, 3.96, -2.5, 1.99, 22.41], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [695.59, 176.51, 763.35, 227.04], \"box_3d\": [1.78, 1.89, 4.37, 4.47, 1.94, 27.83], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [523.61, 182.34, 574.5, 230.18], \"box_3d\": [1.68, 1.51, 3.29, -2.28, 2.05, 27.29], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 97, + "data_source": "Mono3DRefer", + "scene_name": "001711", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.34, \"box_2d\": [269.54, 179.68, 350.83, 209.43], \"box_3d\": [1.6, 1.66, 4.49, -17.19, 2.01, 41.55], \"ry\": 1.95}, {\"category\": \"Car\", \"angle\": 2.64, \"box_2d\": [423.65, 172.98, 484.5, 199.29], \"box_3d\": [1.78, 1.67, 3.85, -11.0, 1.81, 50.91], \"ry\": 2.43}, {\"category\": \"Car\", \"angle\": 2.82, \"box_2d\": [373.5, 176.67, 434.28, 198.24], \"box_3d\": [1.59, 1.76, 4.18, -15.99, 1.91, 55.96], \"ry\": 2.54}, {\"category\": \"Car\", \"angle\": 3.08, \"box_2d\": [523.68, 170.89, 586.62, 192.1], \"box_3d\": [1.66, 1.57, 5.04, -4.54, 1.54, 59.24], \"ry\": 3.0}]\n```" + } + ] + }, + { + "id": 98, + "data_source": "Mono3DRefer", + "scene_name": "001714", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.64, \"box_2d\": [1087.15, 149.7, 1223.0, 188.3], \"box_3d\": [1.28, 1.7, 3.95, 19.7, 0.24, 25.14], \"ry\": 0.02}, {\"category\": \"Car\", \"angle\": -1.24, \"box_2d\": [208.48, 181.03, 456.19, 329.94], \"box_3d\": [1.5, 1.78, 3.69, -3.25, 1.53, 9.18], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 99, + "data_source": "Mono3DRefer", + "scene_name": "001823", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [639.68, 167.91, 678.64, 206.95], \"box_3d\": [1.57, 1.56, 2.62, 2.03, 1.39, 30.65], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [533.63, 173.67, 587.2, 206.02], \"box_3d\": [1.43, 1.68, 4.19, -2.31, 1.49, 34.2], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [560.39, 170.6, 593.81, 197.88], \"box_3d\": [1.46, 1.59, 4.27, -1.86, 1.37, 41.18], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 100, + "data_source": "Mono3DRefer", + "scene_name": "001844", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.95, \"box_2d\": [0.0, 181.64, 160.34, 258.02], \"box_3d\": [1.49, 1.59, 4.11, -12.25, 1.7, 15.42], \"ry\": 2.29}, {\"category\": \"Car\", \"angle\": 2.89, \"box_2d\": [363.79, 169.44, 527.78, 224.21], \"box_3d\": [1.49, 1.67, 4.5, -4.92, 1.41, 21.57], \"ry\": 2.67}, {\"category\": \"Car\", \"angle\": -1.12, \"box_2d\": [855.55, 158.52, 1024.11, 252.24], \"box_3d\": [1.65, 1.67, 3.64, 6.65, 1.41, 14.5], \"ry\": -0.7}, {\"category\": \"Car\", \"angle\": -0.92, \"box_2d\": [1226.84, 161.66, 1241.0, 221.05], \"box_3d\": [1.5, 1.61, 4.07, 17.97, 1.19, 18.05], \"ry\": -0.15}]\n```" + } + ] + }, + { + "id": 101, + "data_source": "Mono3DRefer", + "scene_name": "001890", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [578.45, 173.97, 608.64, 197.89], \"box_3d\": [1.26, 1.6, 3.56, -0.96, 1.34, 40.21], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [542.64, 172.27, 570.09, 193.65], \"box_3d\": [1.37, 1.63, 3.57, -3.61, 1.36, 48.72], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 102, + "data_source": "Mono3DRefer", + "scene_name": "001920", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [380.1, 181.66, 427.8, 205.98], \"box_3d\": [1.51, 1.86, 3.91, -13.52, 2.1, 47.47], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 103, + "data_source": "Mono3DRefer", + "scene_name": "001985", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [510.64, 187.39, 541.63, 217.02], \"box_3d\": [1.57, 1.55, 3.32, -4.77, 2.42, 41.07], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [258.89, 194.15, 468.52, 325.41], \"box_3d\": [1.5, 1.7, 3.77, -3.41, 1.86, 10.62], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 104, + "data_source": "Mono3DRefer", + "scene_name": "002022", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [468.35, 180.48, 548.33, 235.58], \"box_3d\": [1.5, 1.7, 3.77, -3.01, 1.75, 21.8], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [549.0, 171.18, 572.26, 193.77], \"box_3d\": [1.57, 1.55, 3.32, -3.57, 1.48, 52.32], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 105, + "data_source": "Mono3DRefer", + "scene_name": "002103", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.07, \"box_2d\": [821.05, 195.57, 1241.0, 374.0], \"box_3d\": [1.52, 1.51, 4.28, 2.71, 1.72, 4.64], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [369.95, 197.51, 505.92, 294.7], \"box_3d\": [1.42, 1.57, 4.1, -3.06, 1.94, 13.45], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [700.29, 190.03, 911.7, 327.79], \"box_3d\": [1.43, 1.64, 4.14, 2.36, 1.7, 9.96], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [522.64, 185.16, 559.66, 216.34], \"box_3d\": [1.38, 1.53, 3.58, -3.29, 1.99, 34.58], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [635.53, 180.24, 670.21, 208.75], \"box_3d\": [1.49, 1.65, 4.06, 2.31, 1.91, 40.22], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 106, + "data_source": "Mono3DRefer", + "scene_name": "002128", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.01, \"box_2d\": [832.14, 117.64, 1241.0, 374.0], \"box_3d\": [1.79, 1.72, 4.35, 3.63, 1.48, 6.52], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [24.37, 202.97, 372.5, 374.0], \"box_3d\": [1.45, 1.49, 4.07, -3.95, 1.84, 7.7], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [373.17, 198.63, 478.33, 268.93], \"box_3d\": [1.27, 1.54, 3.58, -3.98, 1.89, 15.94], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [435.33, 181.55, 509.6, 240.63], \"box_3d\": [1.63, 1.65, 3.91, -4.17, 1.91, 22.2], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [601.76, 180.39, 634.57, 209.79], \"box_3d\": [1.46, 1.53, 3.17, 0.36, 1.86, 37.84], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 107, + "data_source": "Mono3DRefer", + "scene_name": "002188", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [382.17, 184.97, 428.36, 209.45], \"box_3d\": [1.55, 1.88, 4.59, -13.95, 2.4, 49.32], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 108, + "data_source": "Mono3DRefer", + "scene_name": "002250", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [270.37, 189.11, 449.37, 304.25], \"box_3d\": [1.45, 1.64, 4.21, -3.82, 1.75, 11.65], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.43, \"box_2d\": [640.73, 178.09, 710.42, 235.87], \"box_3d\": [1.62, 1.58, 3.89, 1.9, 1.79, 22.36], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [474.77, 182.57, 532.65, 222.58], \"box_3d\": [1.45, 1.67, 4.43, -4.21, 1.86, 28.93], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [624.21, 183.9, 677.96, 223.45], \"box_3d\": [1.47, 1.59, 3.62, 1.57, 1.93, 29.21], \"ry\": -1.68}]\n```" + } + ] + }, + { + "id": 109, + "data_source": "Mono3DRefer", + "scene_name": "002300", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.29, \"box_2d\": [0.0, 228.49, 332.57, 374.0], \"box_3d\": [1.42, 1.57, 4.1, -2.83, 1.8, 3.04], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [499.5, 186.11, 555.36, 231.99], \"box_3d\": [1.38, 1.53, 3.58, -2.73, 1.84, 24.16], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [658.75, 182.85, 709.34, 222.44], \"box_3d\": [1.49, 1.65, 4.06, 2.95, 1.92, 29.78], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.52, \"box_2d\": [550.6, 183.78, 580.17, 210.69], \"box_3d\": [1.48, 1.54, 4.05, -2.63, 2.15, 42.73], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 110, + "data_source": "Mono3DRefer", + "scene_name": "002307", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.15, \"box_2d\": [32.33, 190.27, 188.01, 255.47], \"box_3d\": [1.6, 1.78, 3.86, -13.97, 2.12, 20.39], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.19, \"box_2d\": [9.76, 187.56, 152.75, 245.44], \"box_3d\": [1.65, 1.77, 3.85, -16.84, 2.15, 23.17], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [343.44, 182.73, 397.83, 211.18], \"box_3d\": [1.58, 1.82, 3.87, -14.15, 2.18, 42.77], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 111, + "data_source": "Mono3DRefer", + "scene_name": "002376", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [140.71, 196.21, 438.29, 357.05], \"box_3d\": [1.43, 1.75, 4.47, -3.66, 1.78, 9.16], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [514.2, 176.37, 552.44, 207.45], \"box_3d\": [1.39, 1.48, 3.76, -3.65, 1.57, 34.47], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 112, + "data_source": "Mono3DRefer", + "scene_name": "002383", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.44, \"box_2d\": [0.0, 212.46, 179.01, 374.0], \"box_3d\": [1.42, 1.64, 3.63, -3.38, 1.64, 2.43], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.36, \"box_2d\": [694.54, 174.98, 839.7, 272.43], \"box_3d\": [1.42, 1.6, 3.78, 2.5, 1.48, 12.53], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.4, \"box_2d\": [613.94, 165.07, 744.15, 218.6], \"box_3d\": [1.57, 1.65, 4.1, 2.23, 1.35, 23.11], \"ry\": 2.49}]\n```" + } + ] + }, + { + "id": 113, + "data_source": "Mono3DRefer", + "scene_name": "002391", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [410.87, 181.16, 443.68, 199.56], \"box_3d\": [1.49, 1.76, 4.01, -15.48, 2.2, 61.24], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 114, + "data_source": "Mono3DRefer", + "scene_name": "002439", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.95, \"box_2d\": [765.63, 177.16, 1038.86, 346.85], \"box_3d\": [1.72, 1.67, 4.42, 3.45, 1.8, 9.64], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [436.02, 194.91, 545.34, 283.1], \"box_3d\": [1.44, 1.56, 3.84, -2.29, 1.93, 14.45], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [540.7, 186.53, 579.23, 224.85], \"box_3d\": [1.5, 1.55, 4.21, -2.19, 2.12, 31.38], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [656.8, 181.12, 705.51, 226.01], \"box_3d\": [1.82, 1.65, 3.67, 3.0, 2.19, 31.39], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 115, + "data_source": "Mono3DRefer", + "scene_name": "002463", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [426.51, 181.06, 466.85, 211.13], \"box_3d\": [1.45, 1.62, 3.83, -8.4, 1.88, 37.21], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 116, + "data_source": "Mono3DRefer", + "scene_name": "002483", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [256.16, 184.28, 342.73, 222.81], \"box_3d\": [1.55, 1.88, 4.59, -13.71, 2.08, 32.09], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 117, + "data_source": "Mono3DRefer", + "scene_name": "002504", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [650.03, 185.32, 680.23, 209.31], \"box_3d\": [1.41, 1.58, 4.36, 3.44, 2.23, 45.94], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 118, + "data_source": "Mono3DRefer", + "scene_name": "002539", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [345.58, 194.87, 482.45, 286.72], \"box_3d\": [1.39, 1.52, 3.56, -3.52, 1.85, 13.39], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.62, \"box_2d\": [520.41, 185.71, 551.09, 209.51], \"box_3d\": [1.34, 1.64, 4.57, -4.56, 2.16, 44.56], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 2.97, \"box_2d\": [406.13, 183.69, 496.17, 216.39], \"box_3d\": [1.52, 1.41, 4.22, -7.99, 2.09, 36.18], \"ry\": 2.75}]\n```" + } + ] + }, + { + "id": 119, + "data_source": "Mono3DRefer", + "scene_name": "002570", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.32, \"box_2d\": [715.75, 186.07, 906.67, 308.38], \"box_3d\": [1.42, 1.59, 4.19, 2.68, 1.64, 10.76], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [303.44, 189.46, 472.58, 299.96], \"box_3d\": [1.42, 1.64, 3.63, -3.37, 1.71, 11.5], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [680.08, 182.76, 775.08, 250.5], \"box_3d\": [1.38, 1.58, 3.66, 2.58, 1.62, 16.8], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [664.21, 176.49, 734.41, 229.1], \"box_3d\": [1.42, 1.6, 3.78, 2.54, 1.55, 21.56], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.86, \"box_2d\": [738.78, 167.3, 834.02, 201.96], \"box_3d\": [1.57, 1.65, 4.1, 8.36, 1.34, 34.51], \"ry\": 3.09}]\n```" + } + ] + }, + { + "id": 120, + "data_source": "Mono3DRefer", + "scene_name": "002612", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [356.88, 172.66, 503.34, 285.23], \"box_3d\": [1.7, 1.63, 4.08, -3.09, 1.73, 13.05], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.92, \"box_2d\": [778.12, 204.57, 1185.49, 374.0], \"box_3d\": [1.37, 1.59, 3.22, 2.4, 1.68, 5.63], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [466.63, 183.81, 546.19, 237.95], \"box_3d\": [1.4, 1.67, 3.72, -2.95, 1.74, 21.0], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.52, \"box_2d\": [633.23, 178.83, 668.19, 209.0], \"box_3d\": [1.49, 1.61, 3.74, 2.06, 1.81, 37.81], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.35, \"box_2d\": [0.0, 170.9, 136.74, 363.94], \"box_3d\": [1.59, 1.63, 4.43, -7.23, 1.61, 6.74], \"ry\": 3.13}]\n```" + } + ] + }, + { + "id": 121, + "data_source": "Mono3DRefer", + "scene_name": "002695", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [656.36, 188.82, 690.58, 215.86], \"box_3d\": [1.41, 1.58, 4.36, 3.58, 2.36, 41.57], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 122, + "data_source": "Mono3DRefer", + "scene_name": "002729", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 0.9, \"box_2d\": [863.21, 198.84, 1241.0, 374.0], \"box_3d\": [1.42, 1.59, 4.19, 2.64, 1.59, 3.15], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.24, \"box_2d\": [0.0, 204.73, 282.94, 374.0], \"box_3d\": [1.42, 1.64, 3.63, -3.38, 1.66, 3.79], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [727.72, 186.09, 949.14, 328.03], \"box_3d\": [1.38, 1.58, 3.66, 2.54, 1.57, 9.06], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.38, \"box_2d\": [684.69, 176.59, 811.91, 264.29], \"box_3d\": [1.42, 1.6, 3.78, 2.42, 1.51, 13.71], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.44, \"box_2d\": [634.27, 164.74, 756.83, 213.74], \"box_3d\": [1.57, 1.65, 4.1, 2.97, 1.32, 24.99], \"ry\": 2.56}]\n```" + } + ] + }, + { + "id": 123, + "data_source": "Mono3DRefer", + "scene_name": "002801", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.69, \"box_2d\": [172.01, 174.55, 333.15, 241.48], \"box_3d\": [1.61, 1.57, 3.35, -9.14, 1.68, 18.53], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": 1.35, \"box_2d\": [678.59, 160.55, 738.72, 203.48], \"box_3d\": [1.79, 1.72, 4.35, 4.33, 1.3, 32.51], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [518.07, 176.3, 553.04, 209.84], \"box_3d\": [1.45, 1.49, 4.07, -3.44, 1.63, 33.54], \"ry\": 1.5}]\n```" + } + ] + }, + { + "id": 124, + "data_source": "Mono3DRefer", + "scene_name": "002845", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.9, \"box_2d\": [280.4, 180.57, 439.0, 233.86], \"box_3d\": [1.47, 1.53, 4.21, -7.4, 1.73, 21.51], \"ry\": 3.05}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [646.57, 170.1, 739.13, 242.43], \"box_3d\": [1.64, 1.62, 4.2, 1.98, 1.61, 18.7], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [406.69, 185.51, 511.92, 262.12], \"box_3d\": [1.35, 1.47, 3.43, -3.02, 1.64, 14.85], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -2.42, \"box_2d\": [0.0, 196.1, 117.46, 374.0], \"box_3d\": [1.48, 1.61, 4.24, -6.84, 1.72, 5.94], \"ry\": 3.03}]\n```" + } + ] + }, + { + "id": 125, + "data_source": "Mono3DRefer", + "scene_name": "002880", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.31, \"box_2d\": [657.76, 158.09, 771.68, 239.17], \"box_3d\": [1.79, 1.72, 4.35, 2.45, 1.49, 18.27], \"ry\": 1.44}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [360.99, 183.93, 445.78, 248.48], \"box_3d\": [1.45, 1.49, 4.07, -5.26, 1.75, 18.64], \"ry\": 1.44}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [422.72, 187.11, 476.84, 225.16], \"box_3d\": [1.27, 1.54, 3.58, -5.92, 1.82, 26.81], \"ry\": 1.47}]\n```" + } + ] + }, + { + "id": 126, + "data_source": "Mono3DRefer", + "scene_name": "002934", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.2, \"box_2d\": [561.6, 203.48, 971.86, 374.0], \"box_3d\": [1.47, 1.58, 3.55, 0.98, 1.79, 6.31], \"ry\": -2.06}, {\"category\": \"Car\", \"angle\": -1.94, \"box_2d\": [441.91, 206.76, 664.11, 341.33], \"box_3d\": [1.37, 1.7, 4.38, -1.13, 1.96, 10.59], \"ry\": -2.04}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [380.52, 207.76, 513.09, 299.07], \"box_3d\": [1.4, 1.56, 3.91, -3.43, 2.18, 14.4], \"ry\": -2.07}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [327.73, 202.99, 419.48, 275.44], \"box_3d\": [1.6, 1.65, 3.77, -6.41, 2.46, 19.2], \"ry\": -2.07}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [74.4, 206.66, 155.8, 275.49], \"box_3d\": [1.86, 1.63, 4.2, -15.96, 3.03, 23.38], \"ry\": 1.1}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [0.0, 225.49, 101.75, 325.2], \"box_3d\": [1.45, 1.46, 3.41, -10.74, 2.56, 13.67], \"ry\": 1.04}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [279.22, 212.44, 337.09, 252.93], \"box_3d\": [1.37, 1.61, 4.26, -12.66, 3.11, 30.05], \"ry\": -2.11}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [146.76, 215.15, 180.62, 245.84], \"box_3d\": [1.51, 1.55, 3.92, -26.11, 4.09, 42.23], \"ry\": 1.05}]\n```" + } + ] + }, + { + "id": 127, + "data_source": "Mono3DRefer", + "scene_name": "002995", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [657.89, 186.38, 693.7, 214.16], \"box_3d\": [1.41, 1.58, 4.36, 3.58, 2.19, 40.14], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 128, + "data_source": "Mono3DRefer", + "scene_name": "002997", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [416.21, 173.88, 505.19, 236.61], \"box_3d\": [1.5, 1.62, 4.19, -3.96, 1.56, 19.57], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 129, + "data_source": "Mono3DRefer", + "scene_name": "003038", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [617.46, 177.22, 654.92, 202.78], \"box_3d\": [1.5, 1.7, 3.77, 1.64, 1.79, 44.67], \"ry\": 1.77}]\n```" + } + ] + }, + { + "id": 130, + "data_source": "Mono3DRefer", + "scene_name": "003182", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [617.05, 175.01, 694.65, 245.43], \"box_3d\": [1.46, 1.53, 3.17, 0.94, 1.53, 16.71], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 131, + "data_source": "Mono3DRefer", + "scene_name": "003292", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.59, \"box_2d\": [567.1, 209.92, 599.86, 243.88], \"box_3d\": [1.5, 1.62, 4.19, -1.39, 3.55, 38.04], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 132, + "data_source": "Mono3DRefer", + "scene_name": "003312", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [66.92, 188.35, 459.16, 374.0], \"box_3d\": [1.55, 1.68, 4.42, -2.76, 1.73, 6.87], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [692.48, 177.75, 819.99, 272.66], \"box_3d\": [1.6, 1.53, 4.18, 2.69, 1.71, 14.37], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [663.4, 177.64, 748.0, 240.79], \"box_3d\": [1.56, 1.57, 3.98, 2.51, 1.71, 20.09], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.41, \"box_2d\": [662.04, 168.89, 693.11, 193.11], \"box_3d\": [1.79, 1.72, 4.35, 5.18, 1.53, 55.96], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 133, + "data_source": "Mono3DRefer", + "scene_name": "003448", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [649.78, 177.1, 723.97, 229.65], \"box_3d\": [1.41, 1.58, 4.36, 2.17, 1.56, 21.77], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 134, + "data_source": "Mono3DRefer", + "scene_name": "003467", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.99, \"box_2d\": [766.92, 192.71, 1125.01, 374.0], \"box_3d\": [1.52, 1.54, 4.5, 3.06, 1.78, 7.82], \"ry\": -1.63}]\n```" + } + ] + }, + { + "id": 135, + "data_source": "Mono3DRefer", + "scene_name": "003497", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.23, \"box_2d\": [118.6, 189.39, 450.21, 373.07], \"box_3d\": [1.33, 1.71, 4.09, -3.0, 1.54, 7.57], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [651.6, 165.38, 727.66, 221.36], \"box_3d\": [1.49, 1.56, 4.34, 2.23, 1.32, 21.6], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [412.17, 173.05, 512.7, 245.39], \"box_3d\": [1.42, 1.53, 4.12, -3.26, 1.46, 16.44], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [718.48, 160.48, 947.51, 322.2], \"box_3d\": [1.59, 1.59, 3.89, 2.48, 1.5, 9.15], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [625.54, 165.3, 658.7, 192.76], \"box_3d\": [1.38, 1.64, 3.51, 1.72, 1.02, 38.34], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 136, + "data_source": "Mono3DRefer", + "scene_name": "003515", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.28, \"box_2d\": [729.74, 190.9, 974.9, 345.3], \"box_3d\": [1.42, 1.59, 4.19, 2.66, 1.68, 9.09], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [240.78, 193.77, 452.53, 328.55], \"box_3d\": [1.42, 1.64, 3.63, -3.39, 1.75, 9.87], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [685.29, 186.42, 793.21, 263.37], \"box_3d\": [1.38, 1.58, 3.66, 2.54, 1.69, 15.18], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.44, \"box_2d\": [666.01, 181.88, 743.2, 239.38], \"box_3d\": [1.42, 1.6, 3.78, 2.48, 1.68, 19.99], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.82, \"box_2d\": [719.74, 174.46, 819.62, 211.09], \"box_3d\": [1.57, 1.65, 4.1, 7.19, 1.67, 32.81], \"ry\": 3.04}]\n```" + } + ] + }, + { + "id": 137, + "data_source": "Mono3DRefer", + "scene_name": "003547", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [400.21, 180.07, 502.06, 251.89], \"box_3d\": [1.45, 1.64, 4.21, -3.61, 1.63, 16.88], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [652.02, 174.34, 704.76, 220.65], \"box_3d\": [1.62, 1.58, 3.89, 2.49, 1.7, 27.37], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [509.12, 176.97, 559.17, 210.35], \"box_3d\": [1.45, 1.67, 4.43, -3.52, 1.66, 33.91], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [637.55, 179.61, 681.33, 212.65], \"box_3d\": [1.47, 1.59, 3.62, 2.26, 1.8, 34.26], \"ry\": -1.64}]\n```" + } + ] + }, + { + "id": 138, + "data_source": "Mono3DRefer", + "scene_name": "003557", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [323.73, 189.18, 489.78, 295.41], \"box_3d\": [1.5, 1.7, 3.77, -3.36, 1.82, 12.51], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.52, \"box_2d\": [519.05, 181.46, 548.37, 209.25], \"box_3d\": [1.57, 1.55, 3.32, -4.53, 2.09, 42.95], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 139, + "data_source": "Mono3DRefer", + "scene_name": "003559", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [732.94, 190.43, 890.37, 293.89], \"box_3d\": [1.52, 1.54, 4.5, 3.46, 1.89, 13.42], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 140, + "data_source": "Mono3DRefer", + "scene_name": "003580", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [595.11, 176.85, 625.96, 207.33], \"box_3d\": [1.65, 1.67, 3.64, 0.04, 1.9, 41.26], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 141, + "data_source": "Mono3DRefer", + "scene_name": "003676", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [714.3, 162.18, 909.82, 308.1], \"box_3d\": [1.76, 1.71, 4.35, 2.73, 1.66, 10.96], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -2.29, \"box_2d\": [0.0, 188.68, 94.92, 374.0], \"box_3d\": [1.52, 1.58, 3.61, -6.45, 1.67, 5.67], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": 0.63, \"box_2d\": [0.0, 186.31, 276.54, 342.57], \"box_3d\": [1.52, 1.71, 4.49, -6.41, 1.7, 8.02], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -2.54, \"box_2d\": [1.2, 186.38, 331.52, 299.9], \"box_3d\": [1.49, 1.61, 3.87, -6.35, 1.71, 10.49], \"ry\": -3.08}, {\"category\": \"Car\", \"angle\": -2.66, \"box_2d\": [125.69, 180.49, 362.97, 271.0], \"box_3d\": [1.5, 1.58, 3.47, -6.51, 1.66, 12.99], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.37, \"box_2d\": [234.39, 161.45, 448.69, 247.86], \"box_3d\": [1.95, 1.64, 4.57, -6.42, 1.72, 17.44], \"ry\": 0.02}, {\"category\": \"Car\", \"angle\": -2.74, \"box_2d\": [213.62, 175.9, 402.61, 260.79], \"box_3d\": [1.66, 1.58, 3.31, -6.3, 1.75, 15.2], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [687.53, 181.7, 794.37, 253.53], \"box_3d\": [1.44, 1.66, 3.25, 2.8, 1.65, 16.32], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -2.82, \"box_2d\": [289.41, 164.47, 439.0, 237.28], \"box_3d\": [1.87, 1.61, 3.53, -6.67, 1.68, 19.71], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -2.84, \"box_2d\": [338.93, 172.46, 480.28, 225.99], \"box_3d\": [1.72, 1.65, 4.33, -6.78, 1.74, 24.55], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [645.53, 177.2, 687.67, 210.36], \"box_3d\": [1.45, 1.59, 3.59, 2.57, 1.67, 33.79], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [669.88, 177.14, 742.34, 233.52], \"box_3d\": [1.54, 1.67, 3.72, 2.77, 1.69, 21.78], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 142, + "data_source": "Mono3DRefer", + "scene_name": "003678", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [398.57, 180.33, 440.98, 202.57], \"box_3d\": [1.51, 1.86, 3.91, -13.54, 2.05, 51.49], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 143, + "data_source": "Mono3DRefer", + "scene_name": "003755", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.18, \"box_2d\": [799.28, 180.38, 1208.74, 374.0], \"box_3d\": [1.62, 1.58, 3.89, 2.93, 1.69, 6.45], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [366.23, 183.41, 520.27, 281.22], \"box_3d\": [1.45, 1.67, 4.43, -2.86, 1.66, 13.16], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [711.13, 188.15, 850.2, 283.91], \"box_3d\": [1.47, 1.59, 3.62, 2.93, 1.78, 13.3], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [444.4, 179.6, 534.79, 244.71], \"box_3d\": [1.56, 1.68, 3.69, -3.14, 1.75, 19.27], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.43, \"box_2d\": [681.24, 184.3, 771.63, 249.19], \"box_3d\": [1.44, 1.64, 4.5, 2.84, 1.76, 18.75], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [513.41, 179.28, 560.12, 219.73], \"box_3d\": [1.46, 1.51, 3.24, -2.82, 1.72, 27.93], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.49, \"box_2d\": [667.17, 180.6, 710.56, 213.25], \"box_3d\": [1.38, 1.59, 4.19, 3.5, 1.74, 32.91], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [653.08, 176.19, 677.12, 197.77], \"box_3d\": [1.51, 1.56, 3.81, 3.99, 1.77, 52.86], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 144, + "data_source": "Mono3DRefer", + "scene_name": "003828", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [479.72, 179.88, 553.52, 230.17], \"box_3d\": [1.5, 1.7, 3.77, -3.01, 1.74, 23.66], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [551.12, 170.76, 573.57, 192.55], \"box_3d\": [1.57, 1.55, 3.32, -3.57, 1.44, 54.18], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 145, + "data_source": "Mono3DRefer", + "scene_name": "003938", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [513.73, 165.3, 581.96, 220.82], \"box_3d\": [1.73, 1.65, 3.96, -2.07, 1.52, 24.61], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [702.76, 160.38, 763.97, 206.98], \"box_3d\": [1.78, 1.89, 4.37, 5.0, 1.33, 29.98], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [544.22, 164.96, 590.86, 208.65], \"box_3d\": [1.68, 1.51, 3.29, -1.72, 1.4, 29.57], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [284.44, 179.15, 486.25, 293.3], \"box_3d\": [1.44, 1.64, 3.78, -3.24, 1.55, 11.06], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [406.29, 160.46, 541.26, 257.34], \"box_3d\": [1.77, 1.71, 4.28, -2.76, 1.58, 15.41], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [719.98, 169.87, 793.95, 218.15], \"box_3d\": [1.45, 1.71, 3.93, 4.72, 1.39, 23.87], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 146, + "data_source": "Mono3DRefer", + "scene_name": "004026", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 3.1, \"box_2d\": [647.94, 172.91, 703.37, 193.79], \"box_3d\": [1.48, 1.72, 3.99, 4.79, 1.51, 53.27], \"ry\": -3.09}, {\"category\": \"Car\", \"angle\": -0.17, \"box_2d\": [670.89, 171.95, 775.38, 207.48], \"box_3d\": [1.45, 1.6, 4.23, 4.8, 1.44, 31.19], \"ry\": -0.02}]\n```" + } + ] + }, + { + "id": 147, + "data_source": "Mono3DRefer", + "scene_name": "004110", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [18.47, 196.21, 100.12, 248.87], \"box_3d\": [1.52, 1.51, 3.1, -17.8, 2.3, 23.23], \"ry\": -2.42}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [60.49, 196.51, 175.09, 264.92], \"box_3d\": [1.57, 1.72, 3.52, -13.07, 2.22, 19.03], \"ry\": -2.4}]\n```" + } + ] + }, + { + "id": 148, + "data_source": "Mono3DRefer", + "scene_name": "004130", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [471.54, 182.9, 544.13, 233.55], \"box_3d\": [1.46, 1.75, 4.23, -3.25, 1.8, 23.41], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 149, + "data_source": "Mono3DRefer", + "scene_name": "004162", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [283.51, 182.01, 462.22, 306.8], \"box_3d\": [1.46, 1.51, 3.24, -3.2, 1.6, 10.2], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.38, \"box_2d\": [706.97, 187.43, 828.96, 268.62], \"box_3d\": [1.38, 1.59, 4.19, 3.03, 1.71, 14.83], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [427.84, 180.91, 523.52, 246.65], \"box_3d\": [1.38, 1.69, 3.74, -3.12, 1.58, 17.21], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [658.2, 179.15, 696.68, 212.23], \"box_3d\": [1.51, 1.56, 3.81, 3.2, 1.83, 35.15], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 150, + "data_source": "Mono3DRefer", + "scene_name": "004168", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [340.46, 186.53, 376.54, 215.47], \"box_3d\": [1.45, 1.62, 3.83, -13.66, 2.22, 39.24], \"ry\": 1.3}]\n```" + } + ] + }, + { + "id": 151, + "data_source": "Mono3DRefer", + "scene_name": "004224", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [683.1, 134.2, 713.11, 161.33], \"box_3d\": [1.5, 1.62, 4.19, 5.57, -0.79, 45.45], \"ry\": 1.75}]\n```" + } + ] + }, + { + "id": 152, + "data_source": "Mono3DRefer", + "scene_name": "004249", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [459.05, 177.76, 535.16, 231.17], \"box_3d\": [1.38, 1.69, 3.74, -3.18, 1.53, 20.73], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [653.31, 176.93, 687.39, 206.82], \"box_3d\": [1.51, 1.56, 3.81, 3.16, 1.74, 38.69], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 2.14, \"box_2d\": [0.0, 174.16, 360.61, 374.0], \"box_3d\": [1.56, 1.68, 3.69, -3.29, 1.59, 5.02], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.06, \"box_2d\": [813.61, 207.59, 1241.0, 374.0], \"box_3d\": [1.44, 1.64, 4.5, 2.7, 1.75, 4.51], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [373.3, 180.32, 493.13, 268.38], \"box_3d\": [1.46, 1.51, 3.24, -3.27, 1.61, 13.71], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.42, \"box_2d\": [689.02, 184.57, 779.58, 247.17], \"box_3d\": [1.38, 1.59, 4.19, 3.0, 1.7, 18.43], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 153, + "data_source": "Mono3DRefer", + "scene_name": "004271", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.87, \"box_2d\": [972.23, 146.54, 1237.0, 257.82], \"box_3d\": [1.85, 1.84, 4.69, 9.56, 1.24, 13.44], \"ry\": -0.27}]\n```" + } + ] + }, + { + "id": 154, + "data_source": "Mono3DRefer", + "scene_name": "004318", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [582.06, 162.75, 624.76, 195.76], \"box_3d\": [1.6, 1.76, 3.84, -0.3, 0.5, 37.11], \"ry\": -1.69}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [512.45, 167.86, 549.61, 198.63], \"box_3d\": [1.39, 1.56, 3.45, -3.75, 0.59, 34.46], \"ry\": -1.73}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [506.04, 166.04, 534.2, 188.83], \"box_3d\": [1.41, 1.66, 3.76, -5.76, 0.21, 46.82], \"ry\": -1.73}]\n```" + } + ] + }, + { + "id": 155, + "data_source": "Mono3DRefer", + "scene_name": "004363", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [0.0, 147.01, 237.97, 374.0], \"box_3d\": [2.01, 1.89, 4.91, -5.82, 1.81, 8.78], \"ry\": 1.16}, {\"category\": \"Car\", \"angle\": -1.52, \"box_2d\": [230.8, 189.13, 288.38, 239.9], \"box_3d\": [1.65, 1.67, 3.81, -12.68, 2.26, 26.2], \"ry\": -1.97}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [425.23, 187.73, 485.52, 235.94], \"box_3d\": [1.52, 1.51, 3.1, -5.46, 2.06, 25.08], \"ry\": -1.96}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [404.94, 186.69, 458.83, 227.86], \"box_3d\": [1.53, 1.58, 3.53, -7.32, 2.11, 29.3], \"ry\": -1.97}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [388.11, 187.5, 418.66, 214.8], \"box_3d\": [1.46, 1.6, 3.71, -12.01, 2.33, 41.72], \"ry\": -1.87}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [451.29, 184.71, 539.95, 251.44], \"box_3d\": [1.57, 1.72, 3.52, -3.17, 1.9, 19.18], \"ry\": -1.9}]\n```" + } + ] + }, + { + "id": 156, + "data_source": "Mono3DRefer", + "scene_name": "004424", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [1130.66, 164.15, 1241.0, 239.65], \"box_3d\": [1.5, 1.8, 4.5, 13.29, 1.34, 16.46], \"ry\": -1.07}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [1085.66, 156.37, 1155.81, 212.65], \"box_3d\": [1.83, 1.75, 4.52, 18.1, 1.31, 25.77], \"ry\": -1.01}, {\"category\": \"Car\", \"angle\": -2.2, \"box_2d\": [136.27, 217.04, 447.47, 374.0], \"box_3d\": [1.47, 1.58, 3.55, -3.87, 2.06, 8.57], \"ry\": -2.62}, {\"category\": \"Car\", \"angle\": -1.49, \"box_2d\": [859.1, 175.56, 971.64, 269.45], \"box_3d\": [1.6, 1.75, 3.89, 6.16, 1.67, 14.41], \"ry\": -1.09}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [1181.26, 159.17, 1241.0, 265.35], \"box_3d\": [1.59, 1.64, 4.03, 10.32, 1.38, 10.88], \"ry\": -1.18}, {\"category\": \"Car\", \"angle\": -2.0, \"box_2d\": [0.0, 231.26, 237.69, 356.87], \"box_3d\": [1.37, 1.7, 4.38, -7.88, 2.39, 11.07], \"ry\": -2.6}]\n```" + } + ] + }, + { + "id": 157, + "data_source": "Mono3DRefer", + "scene_name": "004438", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [485.9, 190.27, 542.82, 236.61], \"box_3d\": [1.5, 1.62, 4.19, -3.49, 2.18, 26.64], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 158, + "data_source": "Mono3DRefer", + "scene_name": "004474", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [311.18, 178.27, 456.34, 277.28], \"box_3d\": [1.57, 1.67, 4.14, -3.95, 1.52, 13.62], \"ry\": 1.52}]\n```" + } + ] + }, + { + "id": 159, + "data_source": "Mono3DRefer", + "scene_name": "004491", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [589.83, 174.64, 628.98, 205.98], \"box_3d\": [1.46, 1.63, 4.47, -0.0, 1.58, 36.31], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": -2.94, \"box_2d\": [390.82, 175.37, 531.61, 223.27], \"box_3d\": [1.47, 1.68, 4.26, -4.84, 1.58, 23.65], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": 1.29, \"box_2d\": [763.9, 186.85, 1007.53, 348.14], \"box_3d\": [1.49, 1.61, 3.74, 2.97, 1.68, 8.71], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 160, + "data_source": "Mono3DRefer", + "scene_name": "004608", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [557.99, 208.54, 592.22, 243.48], \"box_3d\": [1.5, 1.62, 4.19, -1.76, 3.42, 36.86], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 161, + "data_source": "Mono3DRefer", + "scene_name": "004638", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [279.14, 171.22, 340.31, 198.09], \"box_3d\": [1.34, 1.73, 3.98, -16.0, 1.29, 38.57], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 162, + "data_source": "Mono3DRefer", + "scene_name": "004752", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.16, \"box_2d\": [0.0, 193.15, 255.76, 363.38], \"box_3d\": [1.45, 1.6, 3.2, -5.58, 1.72, 8.03], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.32, \"box_2d\": [898.93, 190.92, 1241.0, 374.0], \"box_3d\": [1.49, 1.68, 3.8, 3.14, 1.62, 3.64], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [180.84, 184.77, 369.71, 286.98], \"box_3d\": [1.49, 1.63, 3.68, -5.69, 1.72, 12.67], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.94, \"box_2d\": [766.31, 180.25, 1012.62, 328.72], \"box_3d\": [1.49, 1.61, 3.55, 3.2, 1.6, 9.14], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.04, \"box_2d\": [471.4, 177.11, 527.77, 203.35], \"box_3d\": [1.41, 1.57, 3.53, -6.33, 1.68, 40.97], \"ry\": 0.89}, {\"category\": \"Car\", \"angle\": 2.81, \"box_2d\": [667.09, 172.15, 730.14, 191.22], \"box_3d\": [1.48, 1.87, 4.74, 7.2, 1.46, 58.86], \"ry\": 2.93}]\n```" + } + ] + }, + { + "id": 163, + "data_source": "Mono3DRefer", + "scene_name": "004817", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.31, \"box_2d\": [0.0, 223.08, 218.87, 374.0], \"box_3d\": [1.45, 1.49, 4.07, -3.92, 1.84, 3.79], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [284.85, 207.97, 446.7, 309.73], \"box_3d\": [1.27, 1.54, 3.58, -3.87, 1.93, 11.89], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [397.36, 187.16, 495.91, 262.69], \"box_3d\": [1.63, 1.65, 3.91, -4.0, 2.02, 18.08], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [607.62, 183.69, 644.19, 217.18], \"box_3d\": [1.46, 1.53, 3.17, 0.67, 1.98, 33.7], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 164, + "data_source": "Mono3DRefer", + "scene_name": "004850", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [597.32, 173.71, 624.63, 200.61], \"box_3d\": [1.65, 1.67, 3.64, 0.01, 1.73, 46.52], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.12, \"box_2d\": [0.0, 183.12, 430.03, 374.0], \"box_3d\": [1.61, 1.51, 4.5, -2.72, 1.71, 5.37], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 165, + "data_source": "Mono3DRefer", + "scene_name": "004861", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [436.15, 184.63, 515.93, 243.48], \"box_3d\": [1.5, 1.62, 4.19, -3.83, 1.87, 21.02], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 166, + "data_source": "Mono3DRefer", + "scene_name": "004881", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.35, \"box_2d\": [704.56, 182.55, 859.82, 283.69], \"box_3d\": [1.42, 1.59, 4.19, 2.7, 1.6, 12.42], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [347.53, 184.44, 487.93, 277.49], \"box_3d\": [1.42, 1.64, 3.63, -3.36, 1.65, 13.11], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [676.79, 175.38, 761.69, 235.84], \"box_3d\": [1.38, 1.58, 3.66, 2.65, 1.46, 18.45], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [662.64, 171.63, 726.92, 220.34], \"box_3d\": [1.42, 1.6, 3.78, 2.6, 1.41, 23.14], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.89, \"box_2d\": [758.41, 164.07, 849.47, 197.07], \"box_3d\": [1.57, 1.65, 4.1, 9.65, 1.17, 36.18], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 167, + "data_source": "Mono3DRefer", + "scene_name": "004892", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.03, \"box_2d\": [765.81, 166.61, 1177.5, 374.0], \"box_3d\": [1.72, 1.67, 4.42, 3.03, 1.71, 7.35], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [352.84, 193.82, 490.09, 303.48], \"box_3d\": [1.44, 1.56, 3.84, -3.0, 1.83, 12.0], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [493.62, 183.73, 535.99, 225.21], \"box_3d\": [1.5, 1.55, 4.21, -3.78, 1.95, 28.86], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [624.12, 174.38, 675.12, 223.4], \"box_3d\": [1.82, 1.65, 3.67, 1.49, 1.9, 28.87], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 168, + "data_source": "Mono3DRefer", + "scene_name": "004927", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [589.99, 170.23, 621.54, 201.4], \"box_3d\": [1.65, 1.67, 3.64, -0.22, 1.54, 40.4], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 169, + "data_source": "Mono3DRefer", + "scene_name": "004932", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [309.06, 185.84, 505.14, 323.68], \"box_3d\": [1.55, 1.68, 4.42, -2.73, 1.77, 10.59], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [681.27, 182.93, 775.19, 255.81], \"box_3d\": [1.6, 1.53, 4.18, 2.81, 1.87, 18.21], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [661.27, 183.05, 729.91, 235.58], \"box_3d\": [1.56, 1.57, 3.98, 2.71, 1.92, 23.91], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.42, \"box_2d\": [665.0, 172.65, 693.93, 195.34], \"box_3d\": [1.79, 1.72, 4.35, 5.68, 1.8, 59.61], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 170, + "data_source": "Mono3DRefer", + "scene_name": "005054", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.11, \"box_2d\": [0.0, 204.32, 389.66, 374.0], \"box_3d\": [1.52, 1.57, 4.42, -2.74, 1.78, 4.12], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.06, \"box_2d\": [826.02, 187.78, 1241.0, 374.0], \"box_3d\": [1.55, 1.47, 3.36, 2.78, 1.68, 5.11], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [461.91, 191.98, 536.89, 255.42], \"box_3d\": [1.46, 1.6, 3.33, -2.88, 2.0, 19.09], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [665.15, 182.31, 746.1, 249.39], \"box_3d\": [1.64, 1.7, 3.54, 2.47, 1.91, 19.71], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [540.24, 186.84, 572.92, 214.79], \"box_3d\": [1.55, 1.68, 4.42, -3.21, 2.43, 43.68], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 171, + "data_source": "Mono3DRefer", + "scene_name": "005108", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [316.52, 167.75, 350.08, 184.95], \"box_3d\": [1.41, 1.66, 3.76, -23.34, -0.03, 61.05], \"ry\": -2.22}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [473.73, 167.96, 522.61, 202.0], \"box_3d\": [1.6, 1.76, 3.84, -5.57, 0.78, 36.03], \"ry\": -1.9}, {\"category\": \"Car\", \"angle\": -1.91, \"box_2d\": [399.0, 172.83, 443.53, 196.56], \"box_3d\": [1.39, 1.56, 3.45, -11.46, 0.66, 44.0], \"ry\": -2.16}]\n```" + } + ] + }, + { + "id": 172, + "data_source": "Mono3DRefer", + "scene_name": "005120", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.92, \"box_2d\": [825.05, 137.77, 1196.37, 369.09], \"box_3d\": [1.8, 1.74, 4.96, 3.82, 1.56, 8.13], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [786.92, 164.3, 867.4, 234.15], \"box_3d\": [1.61, 1.56, 4.12, 5.5, 1.44, 18.79], \"ry\": -1.38}]\n```" + } + ] + }, + { + "id": 173, + "data_source": "Mono3DRefer", + "scene_name": "005145", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [673.71, 176.33, 750.59, 235.69], \"box_3d\": [1.54, 1.67, 3.72, 2.8, 1.66, 20.78], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [723.73, 159.27, 949.58, 324.25], \"box_3d\": [1.76, 1.71, 4.35, 2.74, 1.64, 9.94], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -2.51, \"box_2d\": [0.0, 187.79, 304.62, 314.5], \"box_3d\": [1.49, 1.61, 3.87, -6.35, 1.72, 9.5], \"ry\": -3.08}, {\"category\": \"Car\", \"angle\": -2.63, \"box_2d\": [84.88, 179.68, 344.88, 277.93], \"box_3d\": [1.5, 1.58, 3.47, -6.5, 1.63, 12.02], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": 0.39, \"box_2d\": [211.26, 159.39, 439.84, 251.22], \"box_3d\": [1.95, 1.64, 4.57, -6.41, 1.69, 16.45], \"ry\": 0.03}, {\"category\": \"Car\", \"angle\": -2.72, \"box_2d\": [185.93, 174.55, 390.15, 265.63], \"box_3d\": [1.66, 1.58, 3.31, -6.28, 1.72, 14.21], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [693.43, 180.77, 809.04, 257.72], \"box_3d\": [1.44, 1.66, 3.25, 2.83, 1.61, 15.3], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -2.8, \"box_2d\": [272.74, 163.16, 431.31, 239.99], \"box_3d\": [1.87, 1.61, 3.53, -6.65, 1.66, 18.72], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -2.83, \"box_2d\": [328.13, 171.75, 476.0, 227.64], \"box_3d\": [1.72, 1.65, 4.33, -6.75, 1.72, 23.54], \"ry\": -3.1}, {\"category\": \"Car\", \"angle\": 0.28, \"box_2d\": [406.05, 174.49, 509.54, 212.51], \"box_3d\": [1.57, 1.54, 4.1, -6.58, 1.67, 31.22], \"ry\": 0.07}, {\"category\": \"Car\", \"angle\": -2.96, \"box_2d\": [437.72, 165.9, 521.29, 205.38], \"box_3d\": [1.89, 1.59, 3.87, -6.51, 1.58, 36.07], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [647.67, 176.15, 691.33, 210.38], \"box_3d\": [1.45, 1.59, 3.59, 2.62, 1.62, 32.79], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 174, + "data_source": "Mono3DRefer", + "scene_name": "005206", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [437.44, 180.78, 527.42, 245.06], \"box_3d\": [1.45, 1.64, 4.21, -3.2, 1.66, 18.61], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [665.13, 179.8, 715.15, 223.48], \"box_3d\": [1.62, 1.58, 3.89, 3.11, 1.9, 28.9], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [528.01, 181.8, 574.96, 213.66], \"box_3d\": [1.45, 1.67, 4.43, -2.85, 1.91, 35.66], \"ry\": 1.64}]\n```" + } + ] + }, + { + "id": 175, + "data_source": "Mono3DRefer", + "scene_name": "005349", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.85, \"box_2d\": [665.68, 163.78, 975.49, 341.93], \"box_3d\": [1.6, 1.57, 3.23, 2.35, 1.53, 8.03], \"ry\": -0.58}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [919.5, 164.28, 1166.44, 295.44], \"box_3d\": [1.57, 1.5, 3.68, 6.17, 1.47, 10.24], \"ry\": 2.58}, {\"category\": \"Car\", \"angle\": -1.26, \"box_2d\": [1155.86, 179.15, 1241.0, 264.67], \"box_3d\": [1.47, 1.6, 3.66, 12.26, 1.6, 13.9], \"ry\": -0.55}]\n```" + } + ] + }, + { + "id": 176, + "data_source": "Mono3DRefer", + "scene_name": "005365", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [178.63, 188.3, 251.56, 236.72], \"box_3d\": [1.52, 1.51, 3.1, -13.62, 2.07, 24.75], \"ry\": -2.31}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [148.14, 190.59, 212.81, 233.55], \"box_3d\": [1.53, 1.58, 3.53, -16.85, 2.24, 28.17], \"ry\": -2.28}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [117.84, 190.22, 157.31, 219.99], \"box_3d\": [1.46, 1.6, 3.71, -25.21, 2.41, 38.41], \"ry\": -2.19}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [214.89, 187.93, 313.37, 251.93], \"box_3d\": [1.57, 1.72, 3.52, -9.65, 2.0, 19.92], \"ry\": -2.24}]\n```" + } + ] + }, + { + "id": 177, + "data_source": "Mono3DRefer", + "scene_name": "005441", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [403.69, 184.49, 519.12, 261.91], \"box_3d\": [1.5, 1.7, 3.77, -3.24, 1.79, 16.25], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [533.39, 173.51, 559.92, 198.91], \"box_3d\": [1.57, 1.55, 3.32, -4.09, 1.64, 46.71], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 178, + "data_source": "Mono3DRefer", + "scene_name": "005453", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.2, \"box_2d\": [466.48, 175.75, 521.77, 205.4], \"box_3d\": [1.41, 1.57, 3.53, -5.95, 1.59, 36.56], \"ry\": 1.04}, {\"category\": \"Car\", \"angle\": 2.62, \"box_2d\": [548.69, 171.94, 610.9, 193.03], \"box_3d\": [1.47, 1.72, 4.22, -2.2, 1.42, 52.54], \"ry\": 2.58}, {\"category\": \"Car\", \"angle\": 0.75, \"box_2d\": [343.85, 177.75, 418.45, 202.79], \"box_3d\": [1.42, 1.71, 4.14, -13.59, 1.74, 42.72], \"ry\": 0.44}, {\"category\": \"Car\", \"angle\": 2.75, \"box_2d\": [653.84, 172.63, 719.95, 192.69], \"box_3d\": [1.48, 1.87, 4.74, 5.95, 1.49, 56.06], \"ry\": 2.86}, {\"category\": \"Car\", \"angle\": 2.36, \"box_2d\": [0.0, 202.9, 105.99, 374.0], \"box_3d\": [1.45, 1.6, 3.2, -5.66, 1.73, 5.28], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [16.7, 186.99, 300.55, 327.14], \"box_3d\": [1.49, 1.63, 3.68, -5.83, 1.71, 9.81], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -2.05, \"box_2d\": [806.88, 183.23, 1226.34, 374.0], \"box_3d\": [1.49, 1.61, 3.55, 3.09, 1.6, 6.45], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 179, + "data_source": "Mono3DRefer", + "scene_name": "005515", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [863.21, 190.06, 1241.0, 374.0], \"box_3d\": [1.46, 1.53, 3.17, 2.84, 1.61, 5.14], \"ry\": -1.4}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [804.86, 174.45, 871.79, 227.49], \"box_3d\": [1.52, 1.54, 4.5, 7.15, 1.59, 23.04], \"ry\": -1.37}, {\"category\": \"Car\", \"angle\": -2.62, \"box_2d\": [343.37, 184.87, 511.26, 265.98], \"box_3d\": [1.59, 1.45, 3.15, -3.9, 1.86, 15.36], \"ry\": -2.87}]\n```" + } + ] + }, + { + "id": 180, + "data_source": "Mono3DRefer", + "scene_name": "005555", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [585.28, 174.3, 611.65, 200.37], \"box_3d\": [1.65, 1.67, 3.64, -0.8, 1.77, 47.96], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 181, + "data_source": "Mono3DRefer", + "scene_name": "005616", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [423.16, 189.84, 485.47, 234.19], \"box_3d\": [1.27, 1.54, 3.58, -5.03, 1.85, 23.48], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [452.09, 177.08, 502.27, 219.6], \"box_3d\": [1.63, 1.65, 3.91, -5.49, 1.83, 30.01], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": 1.26, \"box_2d\": [698.2, 155.45, 855.83, 262.06], \"box_3d\": [1.79, 1.72, 4.35, 3.07, 1.52, 14.43], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [322.49, 190.57, 442.95, 275.53], \"box_3d\": [1.45, 1.49, 4.07, -4.59, 1.85, 14.99], \"ry\": 1.49}]\n```" + } + ] + }, + { + "id": 182, + "data_source": "Mono3DRefer", + "scene_name": "005745", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [544.97, 183.44, 592.17, 215.86], \"box_3d\": [1.5, 1.7, 3.77, -2.04, 2.05, 36.07], \"ry\": 1.69}]\n```" + } + ] + }, + { + "id": 183, + "data_source": "Mono3DRefer", + "scene_name": "005747", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.18, \"box_2d\": [672.15, 171.62, 782.4, 209.07], \"box_3d\": [1.45, 1.6, 4.23, 4.72, 1.43, 29.62], \"ry\": -0.02}, {\"category\": \"Car\", \"angle\": 3.1, \"box_2d\": [648.07, 172.06, 705.13, 193.54], \"box_3d\": [1.48, 1.72, 3.99, 4.72, 1.45, 51.81], \"ry\": -3.09}]\n```" + } + ] + }, + { + "id": 184, + "data_source": "Mono3DRefer", + "scene_name": "005822", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [763.92, 175.77, 1126.46, 374.0], \"box_3d\": [1.64, 1.7, 3.54, 2.63, 1.69, 6.7], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [712.98, 188.78, 864.94, 295.22], \"box_3d\": [1.37, 1.51, 3.39, 2.59, 1.65, 11.35], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [521.43, 177.48, 568.8, 216.7], \"box_3d\": [1.55, 1.68, 4.42, -2.75, 1.77, 31.04], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [108.61, 194.84, 446.62, 374.0], \"box_3d\": [1.46, 1.6, 3.33, -2.69, 1.7, 6.57], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 185, + "data_source": "Mono3DRefer", + "scene_name": "005869", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [498.03, 193.92, 550.61, 238.34], \"box_3d\": [1.5, 1.62, 4.19, -3.29, 2.37, 28.05], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 186, + "data_source": "Mono3DRefer", + "scene_name": "005887", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [489.6, 181.45, 557.77, 228.12], \"box_3d\": [1.5, 1.7, 3.77, -3.0, 1.82, 25.47], \"ry\": 1.64}]\n```" + } + ] + }, + { + "id": 187, + "data_source": "Mono3DRefer", + "scene_name": "005907", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [452.05, 178.6, 494.0, 209.43], \"box_3d\": [1.45, 1.62, 3.83, -6.87, 1.75, 36.31], \"ry\": 1.5}]\n```" + } + ] + }, + { + "id": 188, + "data_source": "Mono3DRefer", + "scene_name": "005913", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [740.64, 175.76, 794.29, 220.98], \"box_3d\": [1.6, 1.76, 3.84, 6.15, 1.26, 27.56], \"ry\": -1.29}, {\"category\": \"Car\", \"angle\": -1.26, \"box_2d\": [0.0, 212.8, 65.37, 258.79], \"box_3d\": [1.36, 1.66, 4.18, -21.3, 2.45, 25.89], \"ry\": -1.94}, {\"category\": \"Car\", \"angle\": -1.35, \"box_2d\": [74.74, 201.11, 138.62, 242.26], \"box_3d\": [1.7, 1.76, 3.21, -23.28, 2.5, 33.48], \"ry\": -1.96}, {\"category\": \"Car\", \"angle\": -1.45, \"box_2d\": [795.75, 177.68, 824.17, 197.55], \"box_3d\": [1.39, 1.56, 3.45, 14.69, 0.85, 52.17], \"ry\": -1.17}]\n```" + } + ] + }, + { + "id": 189, + "data_source": "Mono3DRefer", + "scene_name": "005969", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [652.71, 188.7, 701.73, 226.88], \"box_3d\": [1.41, 1.58, 4.36, 2.69, 2.1, 30.07], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 190, + "data_source": "Mono3DRefer", + "scene_name": "005975", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.31, \"box_2d\": [0.0, 163.3, 303.39, 374.0], \"box_3d\": [1.7, 1.63, 4.08, -3.01, 1.68, 3.01], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.28, \"box_2d\": [298.43, 193.97, 488.92, 312.95], \"box_3d\": [1.4, 1.67, 3.72, -3.07, 1.76, 10.87], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [632.33, 186.17, 684.92, 229.06], \"box_3d\": [1.49, 1.61, 3.74, 1.76, 2.02, 27.67], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 191, + "data_source": "Mono3DRefer", + "scene_name": "005978", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.92, \"box_2d\": [762.81, 186.14, 1100.77, 374.0], \"box_3d\": [1.41, 1.58, 4.36, 2.85, 1.58, 7.63], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 192, + "data_source": "Mono3DRefer", + "scene_name": "006013", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [482.3, 183.9, 548.35, 230.14], \"box_3d\": [1.46, 1.75, 4.23, -3.29, 1.87, 25.54], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 193, + "data_source": "Mono3DRefer", + "scene_name": "006058", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.72, \"box_2d\": [220.01, 173.91, 364.12, 234.75], \"box_3d\": [1.61, 1.57, 3.35, -8.91, 1.67, 20.29], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": 1.35, \"box_2d\": [684.76, 161.42, 741.59, 202.24], \"box_3d\": [1.79, 1.72, 4.35, 4.76, 1.31, 34.09], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [531.01, 173.87, 564.05, 205.66], \"box_3d\": [1.45, 1.49, 4.07, -3.04, 1.52, 35.25], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 194, + "data_source": "Mono3DRefer", + "scene_name": "006195", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.1, \"box_2d\": [784.05, 165.58, 1241.0, 374.0], \"box_3d\": [1.72, 1.67, 4.42, 2.97, 1.71, 6.01], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [303.75, 196.31, 471.58, 324.01], \"box_3d\": [1.44, 1.56, 3.84, -3.1, 1.83, 10.66], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [481.52, 182.84, 526.8, 226.35], \"box_3d\": [1.5, 1.55, 4.21, -4.01, 1.9, 27.52], \"ry\": -1.68}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [621.22, 175.17, 675.36, 226.56], \"box_3d\": [1.82, 1.65, 3.67, 1.37, 1.93, 27.63], \"ry\": -1.63}]\n```" + } + ] + }, + { + "id": 195, + "data_source": "Mono3DRefer", + "scene_name": "006244", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.59, \"box_2d\": [49.07, 191.12, 88.29, 220.48], \"box_3d\": [1.45, 1.62, 3.83, -29.18, 2.46, 38.92], \"ry\": 0.95}]\n```" + } + ] + }, + { + "id": 196, + "data_source": "Mono3DRefer", + "scene_name": "006266", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [152.02, 181.37, 438.03, 346.63], \"box_3d\": [1.48, 1.64, 3.95, -3.38, 1.59, 8.51], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [738.62, 190.97, 987.03, 343.04], \"box_3d\": [1.35, 1.64, 3.84, 2.66, 1.61, 8.68], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.42, \"box_2d\": [668.98, 178.62, 754.6, 239.22], \"box_3d\": [1.42, 1.59, 4.19, 2.54, 1.59, 19.18], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [440.99, 175.91, 519.59, 233.96], \"box_3d\": [1.42, 1.64, 3.63, -3.48, 1.52, 19.68], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [658.49, 178.8, 716.64, 222.05], \"box_3d\": [1.38, 1.58, 3.66, 2.59, 1.6, 25.07], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [648.17, 173.81, 697.17, 211.08], \"box_3d\": [1.42, 1.6, 3.78, 2.48, 1.48, 29.67], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 197, + "data_source": "Mono3DRefer", + "scene_name": "006269", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [0.0, 196.28, 365.13, 374.0], \"box_3d\": [1.46, 1.63, 4.47, -3.11, 1.68, 4.99], \"ry\": 1.47}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [379.73, 162.63, 512.33, 251.86], \"box_3d\": [1.7, 1.82, 4.45, -3.5, 1.53, 16.08], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.31, \"box_2d\": [647.99, 166.6, 692.62, 199.63], \"box_3d\": [1.57, 1.56, 2.62, 3.0, 1.29, 35.87], \"ry\": -1.22}]\n```" + } + ] + }, + { + "id": 198, + "data_source": "Mono3DRefer", + "scene_name": "006275", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [320.28, 182.94, 465.77, 278.61], \"box_3d\": [1.45, 1.64, 4.21, -3.83, 1.65, 13.31], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [640.26, 173.9, 702.17, 227.16], \"box_3d\": [1.62, 1.58, 3.89, 1.92, 1.68, 24.07], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [481.75, 177.25, 537.23, 214.48], \"box_3d\": [1.45, 1.67, 4.43, -4.22, 1.66, 30.65], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [622.7, 178.36, 673.84, 215.08], \"box_3d\": [1.47, 1.59, 3.62, 1.55, 1.72, 31.03], \"ry\": -1.69}]\n```" + } + ] + }, + { + "id": 199, + "data_source": "Mono3DRefer", + "scene_name": "006332", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.77, \"box_2d\": [695.47, 204.62, 771.7, 233.67], \"box_3d\": [1.37, 1.56, 4.19, 6.77, 3.18, 39.53], \"ry\": -0.6}]\n```" + } + ] + }, + { + "id": 200, + "data_source": "Mono3DRefer", + "scene_name": "006349", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [659.68, 187.82, 698.89, 218.06], \"box_3d\": [1.41, 1.58, 4.36, 3.49, 2.21, 37.26], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 201, + "data_source": "Mono3DRefer", + "scene_name": "006370", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [689.71, 169.97, 901.56, 308.68], \"box_3d\": [1.49, 1.64, 4.17, 2.21, 1.49, 9.94], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -2.52, \"box_2d\": [0.0, 185.65, 230.92, 271.81], \"box_3d\": [1.47, 1.58, 3.55, -9.29, 1.73, 13.41], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [473.68, 172.4, 537.23, 226.8], \"box_3d\": [1.6, 1.75, 3.89, -3.34, 1.61, 23.42], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [640.21, 171.6, 719.72, 228.76], \"box_3d\": [1.59, 1.64, 4.03, 2.02, 1.59, 22.34], \"ry\": -1.68}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [516.27, 174.68, 557.41, 204.68], \"box_3d\": [1.46, 1.56, 3.21, -3.75, 1.58, 37.15], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [620.89, 167.09, 655.37, 202.92], \"box_3d\": [1.83, 1.75, 4.52, 1.48, 1.56, 39.36], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 202, + "data_source": "Mono3DRefer", + "scene_name": "006381", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.13, \"box_2d\": [776.26, 135.54, 1084.48, 321.68], \"box_3d\": [1.79, 1.72, 4.35, 3.59, 1.45, 9.19], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [195.86, 199.76, 414.0, 339.2], \"box_3d\": [1.45, 1.49, 4.07, -4.05, 1.89, 10.2], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [403.34, 194.2, 489.05, 252.77], \"box_3d\": [1.27, 1.54, 3.58, -4.13, 1.86, 18.49], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [450.67, 179.5, 514.95, 231.71], \"box_3d\": [1.63, 1.65, 3.91, -4.32, 1.87, 24.79], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [596.05, 176.8, 626.77, 204.22], \"box_3d\": [1.46, 1.53, 3.17, 0.02, 1.7, 40.45], \"ry\": -1.63}]\n```" + } + ] + }, + { + "id": 203, + "data_source": "Mono3DRefer", + "scene_name": "006468", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.59, \"box_2d\": [0.0, 181.85, 334.5, 295.24], \"box_3d\": [1.46, 1.61, 4.31, -6.48, 1.62, 10.38], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": -2.89, \"box_2d\": [206.22, 163.25, 443.53, 255.9], \"box_3d\": [1.8, 1.77, 4.41, -5.96, 1.64, 15.42], \"ry\": 3.03}, {\"category\": \"Car\", \"angle\": 1.4, \"box_2d\": [676.91, 181.07, 751.12, 235.85], \"box_3d\": [1.47, 1.56, 3.55, 2.95, 1.72, 21.35], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -2.89, \"box_2d\": [402.0, 174.57, 488.67, 213.46], \"box_3d\": [1.58, 1.54, 3.3, -6.99, 1.67, 30.65], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.2, \"box_2d\": [421.99, 173.93, 517.76, 212.27], \"box_3d\": [1.68, 1.71, 4.07, -6.44, 1.76, 33.29], \"ry\": 0.01}]\n```" + } + ] + }, + { + "id": 204, + "data_source": "Mono3DRefer", + "scene_name": "006516", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [1070.92, 176.45, 1173.67, 250.52], \"box_3d\": [1.66, 1.56, 3.42, 12.81, 1.76, 18.02], \"ry\": -0.8}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [998.7, 177.77, 1057.07, 208.37], \"box_3d\": [1.45, 1.64, 4.21, 21.3, 1.72, 36.75], \"ry\": 2.33}]\n```" + } + ] + }, + { + "id": 205, + "data_source": "Mono3DRefer", + "scene_name": "006537", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [939.15, 171.89, 1030.28, 252.09], \"box_3d\": [1.66, 1.56, 3.42, 8.73, 1.65, 16.76], \"ry\": -1.0}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [838.33, 177.43, 888.12, 207.98], \"box_3d\": [1.45, 1.64, 4.21, 12.89, 1.7, 36.66], \"ry\": 2.09}]\n```" + } + ] + }, + { + "id": 206, + "data_source": "Mono3DRefer", + "scene_name": "006563", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.45, \"box_2d\": [979.17, 174.72, 1073.42, 251.87], \"box_3d\": [1.66, 1.56, 3.42, 10.02, 1.71, 17.33], \"ry\": -0.93}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [889.87, 177.52, 939.42, 208.01], \"box_3d\": [1.45, 1.64, 4.21, 15.54, 1.7, 36.76], \"ry\": 2.14}]\n```" + } + ] + }, + { + "id": 207, + "data_source": "Mono3DRefer", + "scene_name": "006576", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [422.22, 194.51, 481.8, 237.57], \"box_3d\": [1.27, 1.54, 3.58, -5.34, 2.05, 24.54], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [449.39, 180.71, 497.03, 221.3], \"box_3d\": [1.63, 1.65, 3.91, -5.91, 1.98, 31.36], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 1.28, \"box_2d\": [682.77, 163.45, 822.05, 259.89], \"box_3d\": [1.79, 1.72, 4.35, 2.87, 1.64, 15.73], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [337.3, 192.76, 443.89, 271.09], \"box_3d\": [1.45, 1.49, 4.07, -4.82, 1.94, 16.2], \"ry\": 1.48}]\n```" + } + ] + }, + { + "id": 208, + "data_source": "Mono3DRefer", + "scene_name": "006588", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.07, \"box_2d\": [927.91, 161.88, 1241.0, 374.0], \"box_3d\": [1.49, 1.64, 4.17, 3.35, 1.45, 4.29], \"ry\": -1.44}, {\"category\": \"Car\", \"angle\": -2.32, \"box_2d\": [0.0, 197.84, 222.43, 327.23], \"box_3d\": [1.47, 1.58, 3.55, -7.29, 1.83, 9.5], \"ry\": -2.96}, {\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [564.37, 171.81, 642.47, 242.14], \"box_3d\": [1.6, 1.75, 3.89, -0.11, 1.6, 18.48], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [777.88, 170.55, 903.1, 249.95], \"box_3d\": [1.59, 1.64, 4.03, 5.09, 1.57, 16.6], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [757.58, 170.06, 840.85, 222.7], \"box_3d\": [1.5, 1.8, 4.5, 5.86, 1.45, 23.01], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [626.99, 174.61, 668.98, 209.57], \"box_3d\": [1.46, 1.56, 3.21, 1.7, 1.56, 32.04], \"ry\": -1.43}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [746.06, 162.59, 790.61, 205.25], \"box_3d\": [1.83, 1.75, 4.52, 7.22, 1.41, 33.37], \"ry\": -1.41}]\n```" + } + ] + }, + { + "id": 209, + "data_source": "Mono3DRefer", + "scene_name": "006595", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.3, \"box_2d\": [0.0, 215.12, 142.59, 374.0], \"box_3d\": [1.42, 1.54, 3.5, -6.06, 1.88, 6.33], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [745.32, 173.39, 972.74, 314.08], \"box_3d\": [1.51, 1.75, 3.78, 3.02, 1.55, 9.74], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.04, \"box_2d\": [122.91, 198.49, 343.14, 305.15], \"box_3d\": [1.36, 1.51, 4.02, -6.01, 1.85, 11.99], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [342.35, 179.51, 445.57, 249.13], \"box_3d\": [1.74, 1.65, 4.11, -5.95, 1.94, 20.23], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [546.43, 177.49, 577.81, 199.27], \"box_3d\": [1.41, 1.76, 4.4, -3.25, 1.74, 49.4], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [407.45, 178.1, 478.19, 225.51], \"box_3d\": [1.61, 1.64, 4.0, -6.14, 1.82, 26.74], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [467.99, 182.01, 513.01, 211.5], \"box_3d\": [1.43, 1.7, 3.74, -6.19, 1.92, 37.53], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [638.68, 173.97, 661.69, 193.75], \"box_3d\": [1.55, 1.66, 4.15, 3.24, 1.67, 59.13], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 2.98, \"box_2d\": [696.92, 167.59, 765.66, 189.09], \"box_3d\": [1.47, 1.7, 4.65, 8.68, 1.13, 51.96], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 210, + "data_source": "Mono3DRefer", + "scene_name": "006618", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.24, \"box_2d\": [863.4, 191.83, 1241.0, 374.0], \"box_3d\": [1.56, 1.57, 3.98, 2.7, 1.69, 3.38], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -2.8, \"box_2d\": [319.39, 176.08, 428.54, 223.66], \"box_3d\": [1.61, 1.57, 3.35, -8.39, 1.75, 25.71], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": 1.37, \"box_2d\": [691.86, 166.73, 739.73, 201.91], \"box_3d\": [1.79, 1.72, 4.35, 5.65, 1.51, 39.21], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [559.93, 177.36, 588.27, 204.85], \"box_3d\": [1.45, 1.49, 4.07, -2.03, 1.72, 40.47], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 211, + "data_source": "Mono3DRefer", + "scene_name": "006623", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [588.73, 174.32, 615.86, 201.14], \"box_3d\": [1.65, 1.67, 3.64, -0.54, 1.77, 46.67], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.37, \"box_2d\": [384.14, 177.41, 518.37, 281.26], \"box_3d\": [1.61, 1.51, 4.5, -2.82, 1.72, 13.57], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.04, \"box_2d\": [138.21, 189.88, 258.03, 249.19], \"box_3d\": [1.61, 1.72, 3.65, -12.59, 2.17, 22.24], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 212, + "data_source": "Mono3DRefer", + "scene_name": "006677", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [462.72, 191.78, 529.56, 244.42], \"box_3d\": [1.5, 1.62, 4.19, -3.7, 2.17, 23.83], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 213, + "data_source": "Mono3DRefer", + "scene_name": "006678", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [636.08, 183.08, 681.65, 215.49], \"box_3d\": [1.32, 1.63, 4.1, 2.08, 1.79, 32.13], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 0.25, \"box_2d\": [359.24, 178.91, 490.67, 226.19], \"box_3d\": [1.58, 1.56, 4.25, -6.52, 1.82, 25.54], \"ry\": -0.0}, {\"category\": \"Car\", \"angle\": -2.79, \"box_2d\": [241.2, 185.19, 428.66, 253.22], \"box_3d\": [1.5, 1.58, 3.88, -6.52, 1.82, 17.26], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -0.35, \"box_2d\": [755.6, 181.48, 938.28, 248.35], \"box_3d\": [1.5, 1.62, 3.88, 5.63, 1.73, 17.53], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": -2.72, \"box_2d\": [166.27, 185.85, 393.69, 262.86], \"box_3d\": [1.44, 1.55, 3.94, -6.68, 1.73, 14.76], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": -2.73, \"box_2d\": [63.52, 169.61, 362.2, 285.2], \"box_3d\": [1.77, 1.68, 4.12, -6.6, 1.75, 12.26], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": 0.57, \"box_2d\": [0.0, 187.56, 331.01, 314.76], \"box_3d\": [1.51, 1.59, 4.28, -6.23, 1.74, 9.63], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 0.7, \"box_2d\": [0.0, 194.7, 267.4, 364.76], \"box_3d\": [1.5, 1.49, 3.86, -5.8, 1.75, 7.3], \"ry\": 0.04}, {\"category\": \"Car\", \"angle\": -0.73, \"box_2d\": [995.9, 182.48, 1241.0, 347.94], \"box_3d\": [1.55, 1.58, 3.51, 6.32, 1.67, 7.83], \"ry\": -0.07}, {\"category\": \"Car\", \"angle\": -0.93, \"box_2d\": [1147.45, 197.87, 1241.0, 374.0], \"box_3d\": [1.4, 1.59, 3.49, 6.37, 1.6, 5.53], \"ry\": -0.1}]\n```" + } + ] + }, + { + "id": 214, + "data_source": "Mono3DRefer", + "scene_name": "006732", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [377.18, 190.5, 544.45, 310.79], \"box_3d\": [1.44, 1.67, 3.88, -2.1, 1.74, 10.98], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 215, + "data_source": "Mono3DRefer", + "scene_name": "006772", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.96, \"box_2d\": [797.03, 195.79, 1158.56, 374.0], \"box_3d\": [1.51, 1.56, 3.81, 3.05, 1.78, 7.0], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [720.87, 182.78, 885.86, 294.98], \"box_3d\": [1.57, 1.68, 3.83, 3.02, 1.76, 12.24], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [487.57, 178.84, 539.54, 228.0], \"box_3d\": [1.52, 1.5, 3.85, -3.24, 1.73, 24.46], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [659.6, 180.57, 707.45, 216.9], \"box_3d\": [1.43, 1.59, 3.68, 3.01, 1.76, 30.51], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [523.85, 180.98, 559.72, 207.8], \"box_3d\": [1.29, 1.59, 4.12, -3.52, 1.73, 37.4], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 216, + "data_source": "Mono3DRefer", + "scene_name": "006797", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [507.02, 182.98, 566.22, 223.71], \"box_3d\": [1.5, 1.7, 3.77, -2.92, 1.93, 29.05], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 217, + "data_source": "Mono3DRefer", + "scene_name": "006806", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [337.96, 192.16, 468.18, 282.91], \"box_3d\": [1.39, 1.48, 3.76, -3.76, 1.79, 13.55], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [519.67, 177.51, 559.76, 207.82], \"box_3d\": [1.46, 1.75, 4.23, -3.61, 1.72, 37.37], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 218, + "data_source": "Mono3DRefer", + "scene_name": "006816", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [654.25, 184.75, 686.93, 210.39], \"box_3d\": [1.41, 1.58, 4.36, 3.54, 2.14, 43.01], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 219, + "data_source": "Mono3DRefer", + "scene_name": "006822", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.37, \"box_2d\": [389.28, 195.86, 531.07, 288.8], \"box_3d\": [1.33, 1.71, 4.09, -2.59, 1.81, 13.21], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [664.64, 178.24, 722.08, 221.74], \"box_3d\": [1.49, 1.56, 4.34, 3.02, 1.71, 27.18], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [487.55, 187.62, 556.85, 240.73], \"box_3d\": [1.42, 1.53, 4.12, -2.64, 1.91, 22.18], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [703.73, 175.89, 821.88, 266.37], \"box_3d\": [1.59, 1.59, 3.89, 2.93, 1.68, 14.79], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [645.24, 179.75, 673.52, 203.49], \"box_3d\": [1.38, 1.64, 3.51, 3.02, 1.81, 44.02], \"ry\": -1.48}]\n```" + } + ] + }, + { + "id": 220, + "data_source": "Mono3DRefer", + "scene_name": "006850", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.84, \"box_2d\": [749.28, 165.85, 1060.84, 334.17], \"box_3d\": [1.6, 1.57, 3.23, 3.36, 1.54, 8.3], \"ry\": -0.47}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [1007.06, 169.11, 1241.0, 302.28], \"box_3d\": [1.57, 1.5, 3.68, 7.38, 1.53, 10.03], \"ry\": 2.67}]\n```" + } + ] + }, + { + "id": 221, + "data_source": "Mono3DRefer", + "scene_name": "006866", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -2.21, \"box_2d\": [889.55, 190.47, 1241.0, 374.0], \"box_3d\": [1.45, 1.71, 3.93, 3.33, 1.59, 4.41], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 2.15, \"box_2d\": [0.0, 182.76, 326.25, 374.0], \"box_3d\": [1.73, 1.65, 3.96, -3.52, 1.81, 4.83], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.92, \"box_2d\": [724.0, 156.74, 973.11, 312.78], \"box_3d\": [1.78, 1.89, 4.37, 3.08, 1.62, 10.53], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [224.47, 185.01, 427.41, 341.74], \"box_3d\": [1.68, 1.51, 3.29, -3.58, 1.86, 9.56], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [362.02, 196.46, 475.33, 269.92], \"box_3d\": [1.39, 1.66, 4.04, -4.32, 1.99, 16.71], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [478.46, 182.58, 522.78, 221.67], \"box_3d\": [1.86, 1.67, 4.13, -5.56, 2.37, 36.87], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 222, + "data_source": "Mono3DRefer", + "scene_name": "006898", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [106.7, 191.9, 143.83, 220.89], \"box_3d\": [1.45, 1.62, 3.83, -26.58, 2.52, 39.57], \"ry\": 0.99}]\n```" + } + ] + }, + { + "id": 223, + "data_source": "Mono3DRefer", + "scene_name": "006900", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [450.35, 188.41, 523.14, 243.98], \"box_3d\": [1.5, 1.62, 4.19, -3.77, 2.02, 22.43], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 224, + "data_source": "Mono3DRefer", + "scene_name": "006978", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [638.56, 179.63, 707.49, 242.04], \"box_3d\": [1.6, 1.76, 3.84, 1.84, 1.45, 20.47], \"ry\": -1.47}, {\"category\": \"Car\", \"angle\": -1.36, \"box_2d\": [368.94, 182.35, 451.79, 239.07], \"box_3d\": [1.55, 1.63, 3.92, -5.96, 1.48, 21.99], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [423.07, 184.13, 479.52, 222.04], \"box_3d\": [1.38, 1.56, 3.83, -6.23, 1.36, 28.82], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.39, \"box_2d\": [715.7, 185.0, 748.83, 207.4], \"box_3d\": [1.39, 1.56, 3.45, 8.24, 1.4, 47.47], \"ry\": -1.22}]\n```" + } + ] + }, + { + "id": 225, + "data_source": "Mono3DRefer", + "scene_name": "006981", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [575.64, 211.22, 607.35, 244.25], \"box_3d\": [1.5, 1.62, 4.19, -1.02, 3.69, 39.22], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 226, + "data_source": "Mono3DRefer", + "scene_name": "006987", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.78, \"box_2d\": [1003.95, 197.19, 1241.0, 374.0], \"box_3d\": [1.48, 1.63, 3.43, 4.59, 1.65, 4.51], \"ry\": -0.02}, {\"category\": \"Car\", \"angle\": -2.56, \"box_2d\": [0.0, 158.94, 173.9, 308.82], \"box_3d\": [1.7, 1.62, 4.01, -7.97, 1.57, 8.93], \"ry\": 3.01}, {\"category\": \"Car\", \"angle\": 0.49, \"box_2d\": [0.0, 146.55, 264.2, 278.39], \"box_3d\": [1.91, 1.51, 3.49, -7.64, 1.54, 11.43], \"ry\": -0.09}, {\"category\": \"Car\", \"angle\": -2.87, \"box_2d\": [129.98, 159.0, 317.89, 237.56], \"box_3d\": [1.78, 1.65, 3.75, -9.36, 1.48, 17.69], \"ry\": 2.93}, {\"category\": \"Car\", \"angle\": -2.94, \"box_2d\": [180.67, 174.43, 337.61, 231.59], \"box_3d\": [1.49, 1.75, 3.73, -9.88, 1.56, 20.52], \"ry\": 2.9}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [467.22, 173.51, 511.8, 203.84], \"box_3d\": [1.66, 1.66, 3.98, -7.05, 1.73, 41.8], \"ry\": -1.97}]\n```" + } + ] + }, + { + "id": 227, + "data_source": "Mono3DRefer", + "scene_name": "007048", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.36, \"box_2d\": [1138.95, 176.47, 1241.0, 248.49], \"box_3d\": [1.66, 1.56, 3.42, 14.95, 1.76, 18.42], \"ry\": -0.69}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [1090.83, 179.68, 1154.88, 211.37], \"box_3d\": [1.45, 1.64, 4.21, 25.4, 1.81, 35.72], \"ry\": 2.42}]\n```" + } + ] + }, + { + "id": 228, + "data_source": "Mono3DRefer", + "scene_name": "007187", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.62, \"box_2d\": [307.62, 188.21, 343.11, 217.0], \"box_3d\": [1.45, 1.62, 3.83, -15.61, 2.32, 39.63], \"ry\": 1.24}]\n```" + } + ] + }, + { + "id": 229, + "data_source": "Mono3DRefer", + "scene_name": "007212", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [656.1, 191.43, 700.74, 226.42], \"box_3d\": [1.41, 1.58, 4.36, 3.03, 2.3, 32.94], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 230, + "data_source": "Mono3DRefer", + "scene_name": "007214", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -0.79, \"box_2d\": [693.86, 197.32, 784.66, 231.84], \"box_3d\": [1.37, 1.56, 4.19, 5.88, 2.54, 32.81], \"ry\": -0.62}, {\"category\": \"Car\", \"angle\": 3.02, \"box_2d\": [998.14, 173.35, 1231.89, 248.13], \"box_3d\": [1.54, 1.68, 4.16, 11.25, 1.58, 16.51], \"ry\": -2.68}]\n```" + } + ] + }, + { + "id": 231, + "data_source": "Mono3DRefer", + "scene_name": "007232", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [8.98, 167.61, 367.67, 357.08], \"box_3d\": [1.76, 1.77, 4.41, -4.73, 1.74, 8.93], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [355.22, 187.78, 493.36, 265.65], \"box_3d\": [1.48, 1.65, 4.4, -4.06, 1.85, 16.39], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [545.74, 183.33, 594.67, 217.28], \"box_3d\": [1.42, 1.66, 3.64, -1.77, 1.91, 32.58], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [638.36, 179.84, 672.07, 199.33], \"box_3d\": [1.44, 1.64, 3.78, 3.52, 1.99, 55.83], \"ry\": 1.91}]\n```" + } + ] + }, + { + "id": 232, + "data_source": "Mono3DRefer", + "scene_name": "007303", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 2.14, \"box_2d\": [0.0, 186.67, 349.0, 374.0], \"box_3d\": [1.7, 1.82, 4.45, -3.86, 1.84, 5.78], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.49, \"box_2d\": [670.11, 162.24, 709.69, 198.52], \"box_3d\": [1.57, 1.56, 2.62, 3.64, 1.13, 32.86], \"ry\": -1.38}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [608.11, 166.26, 647.59, 189.91], \"box_3d\": [1.43, 1.68, 4.19, 1.17, 1.05, 46.11], \"ry\": 1.8}]\n```" + } + ] + }, + { + "id": 233, + "data_source": "Mono3DRefer", + "scene_name": "007304", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [654.48, 190.12, 701.21, 226.64], \"box_3d\": [1.41, 1.58, 4.36, 2.86, 2.2, 31.51], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 234, + "data_source": "Mono3DRefer", + "scene_name": "007402", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.48, \"box_2d\": [669.25, 182.88, 719.27, 220.22], \"box_3d\": [1.38, 1.59, 4.19, 3.31, 1.8, 29.29], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [652.34, 177.17, 678.28, 200.37], \"box_3d\": [1.51, 1.56, 3.81, 3.72, 1.82, 49.3], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 0.84, \"box_2d\": [936.17, 194.03, 1241.0, 374.0], \"box_3d\": [1.62, 1.58, 3.89, 2.93, 1.75, 2.9], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [240.05, 187.18, 491.58, 334.35], \"box_3d\": [1.45, 1.67, 4.43, -2.91, 1.67, 9.58], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [739.86, 191.27, 952.51, 331.55], \"box_3d\": [1.47, 1.59, 3.62, 2.88, 1.75, 9.74], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [398.55, 177.46, 515.48, 258.89], \"box_3d\": [1.56, 1.68, 3.69, -3.24, 1.67, 15.78], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.4, \"box_2d\": [693.88, 187.12, 814.46, 271.12], \"box_3d\": [1.44, 1.64, 4.5, 2.8, 1.77, 15.14], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [491.99, 177.58, 548.1, 224.34], \"box_3d\": [1.46, 1.51, 3.24, -3.01, 1.63, 24.38], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 235, + "data_source": "Mono3DRefer", + "scene_name": "007462", + "question_type": "mobj_3dDetect_json", + "conversations": [ + { + "from": "human", + "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85.\nOutput JSON list with objects having these keys:\n- \"category\": object class.\n- \"angle\": observation angle on image (-π to π). 0 faces image center.\n- \"box_2d\": [x1, y1, x2, y2] in pixels.\n- \"box_3d\": [height, width, length, x, y, z]. (x: right, y: up, z: depth to camera).\n- \"ry\": rotation around Y-axis (-π to π). 0 when object front faces away from camera.\nFormat strictly like: [{\"category\": ..., \"angle\": ..., \"box_2d\": [...], \"box_3d\": [...], \"ry\": ...}, ...]" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [562.18, 181.04, 590.35, 202.19], \"box_3d\": [1.45, 1.6, 3.2, -2.42, 2.05, 51.86], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [453.39, 185.53, 524.6, 232.75], \"box_3d\": [1.47, 1.66, 3.76, -4.13, 1.93, 24.93], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [819.86, 194.1, 1091.41, 344.27], \"box_3d\": [1.41, 1.66, 3.86, 3.94, 1.72, 9.09], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.87, \"box_2d\": [752.8, 180.24, 884.7, 269.36], \"box_3d\": [1.59, 1.59, 3.34, 4.07, 1.75, 14.71], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [725.27, 182.9, 807.39, 242.77], \"box_3d\": [1.47, 1.6, 3.7, 4.17, 1.77, 19.93], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [490.37, 183.78, 547.4, 220.55], \"box_3d\": [1.43, 1.68, 3.76, -3.83, 1.91, 30.59], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [706.51, 181.97, 768.41, 228.3], \"box_3d\": [1.49, 1.64, 3.52, 4.37, 1.82, 25.35], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [514.02, 183.76, 560.85, 214.02], \"box_3d\": [1.38, 1.68, 4.34, -3.59, 1.95, 36.05], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [693.48, 179.68, 742.88, 217.96], \"box_3d\": [1.5, 1.64, 4.14, 4.49, 1.8, 30.61], \"ry\": -1.52}]\n```" + } + ] + } +] \ No newline at end of file