diff --git "a/data/vsibench_train/qa_mobj_3dDetect_json_conversation.json" "b/data/vsibench_train/qa_mobj_3dDetect_json_conversation.json" new file mode 100644--- /dev/null +++ "b/data/vsibench_train/qa_mobj_3dDetect_json_conversation.json" @@ -0,0 +1,20354 @@ +[ + { + "id": 0, + "data_source": "Mono3DRefer", + "scene_name": "000006", + "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\": -1.55, \"box_2d\": [548.0, 171.33, 572.4, 194.42], \"box_3d\": [1.48, 1.56, 3.62, -2.72, 0.82, 48.22], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.21, \"box_2d\": [505.25, 168.37, 575.44, 209.18], \"box_3d\": [1.67, 1.64, 4.32, -2.61, 1.13, 31.73], \"ry\": -1.3}, {\"category\": \"Car\", \"angle\": 0.15, \"box_2d\": [49.7, 185.65, 227.42, 246.96], \"box_3d\": [1.5, 1.62, 3.88, -12.54, 1.64, 19.72], \"ry\": -0.42}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [328.67, 170.65, 397.24, 204.16], \"box_3d\": [1.68, 1.67, 4.29, -12.66, 1.13, 38.44], \"ry\": 1.73}]\n```" + } + ] + }, + { + "id": 1, + "data_source": "Mono3DRefer", + "scene_name": "000007", + "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\": [564.62, 174.59, 616.43, 224.74], \"box_3d\": [1.61, 1.66, 3.2, -0.69, 1.69, 25.01], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [481.59, 180.09, 512.55, 202.42], \"box_3d\": [1.4, 1.51, 3.7, -7.43, 1.88, 47.55], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [542.05, 175.55, 565.27, 193.79], \"box_3d\": [1.46, 1.66, 4.05, -4.71, 1.71, 60.52], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 2, + "data_source": "Mono3DRefer", + "scene_name": "000008", + "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\": [334.85, 178.94, 624.5, 372.04], \"box_3d\": [1.57, 1.5, 3.68, -1.17, 1.65, 7.86], \"ry\": 1.9}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [937.29, 197.39, 1241.0, 374.0], \"box_3d\": [1.39, 1.44, 3.08, 3.81, 1.64, 6.15], \"ry\": -1.31}, {\"category\": \"Car\", \"angle\": -1.33, \"box_2d\": [597.59, 176.18, 720.9, 261.14], \"box_3d\": [1.47, 1.6, 3.66, 1.07, 1.55, 14.44], \"ry\": -1.25}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [741.18, 168.83, 792.25, 208.43], \"box_3d\": [1.7, 1.63, 4.08, 7.24, 1.55, 33.2], \"ry\": 1.95}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [884.52, 178.31, 956.41, 240.18], \"box_3d\": [1.59, 1.59, 2.47, 8.48, 1.75, 19.96], \"ry\": -1.25}]\n```" + } + ] + }, + { + "id": 3, + "data_source": "Mono3DRefer", + "scene_name": "000009", + "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\": [601.96, 177.01, 659.15, 229.51], \"box_3d\": [1.61, 1.66, 3.2, 0.7, 1.76, 23.88], \"ry\": -1.48}]\n```" + } + ] + }, + { + "id": 4, + "data_source": "Mono3DRefer", + "scene_name": "000013", + "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\": [455.7, 183.86, 533.81, 241.91], \"box_3d\": [1.45, 1.56, 3.47, -3.16, 1.77, 20.13], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 5, + "data_source": "Mono3DRefer", + "scene_name": "000015", + "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\": 2.29, \"box_2d\": [0.0, 194.7, 414.71, 373.0], \"box_3d\": [1.57, 1.67, 4.14, -2.75, 1.7, 4.1], \"ry\": 1.72}]\n```" + } + ] + }, + { + "id": 6, + "data_source": "Mono3DRefer", + "scene_name": "000016", + "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\": [661.23, 174.85, 694.38, 197.63], \"box_3d\": [1.32, 1.48, 4.44, 4.19, 1.46, 44.41], \"ry\": -1.35}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [684.49, 172.19, 733.85, 205.26], \"box_3d\": [1.42, 1.56, 4.16, 4.58, 1.41, 33.13], \"ry\": -1.27}, {\"category\": \"Car\", \"angle\": -0.72, \"box_2d\": [0.0, 193.56, 386.2, 374.0], \"box_3d\": [1.45, 1.59, 3.44, -3.67, 1.67, 6.05], \"ry\": -1.24}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [494.45, 181.84, 527.48, 205.27], \"box_3d\": [1.44, 1.35, 3.23, -6.41, 2.04, 46.74], \"ry\": 1.68}]\n```" + } + ] + }, + { + "id": 7, + "data_source": "Mono3DRefer", + "scene_name": "000017", + "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\": [728.25, 173.97, 791.57, 200.2], \"box_3d\": [1.62, 1.72, 4.35, 9.71, 1.73, 47.16], \"ry\": -2.03}]\n```" + } + ] + }, + { + "id": 8, + "data_source": "Mono3DRefer", + "scene_name": "000018", + "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\": [523.41, 194.53, 550.65, 219.39], \"box_3d\": [1.44, 1.66, 4.53, -4.82, 2.9, 47.02], \"ry\": -1.69}]\n```" + } + ] + }, + { + "id": 9, + "data_source": "Mono3DRefer", + "scene_name": "000019", + "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\": [742.41, 184.49, 944.56, 321.39], \"box_3d\": [1.46, 1.6, 3.71, 2.84, 1.63, 9.72], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [551.01, 184.06, 575.42, 204.29], \"box_3d\": [1.58, 1.65, 3.91, -3.85, 2.52, 59.59], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 10, + "data_source": "Mono3DRefer", + "scene_name": "000020", + "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\": [685.05, 181.43, 804.68, 258.21], \"box_3d\": [1.4, 1.61, 4.37, 2.69, 1.6, 15.58], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 11, + "data_source": "Mono3DRefer", + "scene_name": "000021", + "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\": [359.43, 179.3, 516.3, 270.97], \"box_3d\": [1.44, 1.64, 3.78, -3.03, 1.57, 13.3], \"ry\": 1.68}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [444.13, 163.92, 559.2, 247.04], \"box_3d\": [1.77, 1.71, 4.28, -2.52, 1.61, 17.6], \"ry\": 1.68}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [724.49, 171.09, 790.5, 215.13], \"box_3d\": [1.45, 1.71, 3.93, 5.18, 1.42, 25.97], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [534.25, 166.2, 596.08, 216.76], \"box_3d\": [1.73, 1.65, 3.96, -1.62, 1.53, 26.83], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [709.81, 162.43, 765.7, 205.68], \"box_3d\": [1.78, 1.89, 4.37, 5.57, 1.38, 32.13], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [562.02, 166.42, 605.57, 206.89], \"box_3d\": [1.68, 1.51, 3.29, -1.14, 1.43, 31.78], \"ry\": 1.66}]\n```" + } + ] + }, + { + "id": 12, + "data_source": "Mono3DRefer", + "scene_name": "000022", + "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\": -1.11, \"box_2d\": [128.66, 199.48, 218.9, 237.2], \"box_3d\": [1.42, 1.7, 4.14, -19.08, 2.65, 31.72], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": -1.04, \"box_2d\": [60.72, 198.17, 159.92, 238.35], \"box_3d\": [1.52, 1.71, 4.11, -21.79, 2.69, 31.61], \"ry\": -1.64}]\n```" + } + ] + }, + { + "id": 13, + "data_source": "Mono3DRefer", + "scene_name": "000023", + "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\": [372.95, 182.64, 412.21, 205.68], \"box_3d\": [1.67, 1.87, 3.69, -16.57, 2.43, 55.08], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 14, + "data_source": "Mono3DRefer", + "scene_name": "000025", + "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\": -1.29, \"box_2d\": [351.84, 183.19, 537.77, 308.64], \"box_3d\": [1.47, 1.6, 3.66, -2.21, 1.63, 10.42], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [562.48, 173.46, 618.49, 217.36], \"box_3d\": [1.7, 1.63, 4.08, -0.78, 1.75, 30.18], \"ry\": 1.72}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [724.21, 178.91, 805.39, 249.94], \"box_3d\": [1.59, 1.59, 2.47, 3.64, 1.75, 17.48], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [720.81, 187.01, 779.98, 236.22], \"box_3d\": [1.37, 1.59, 3.22, 4.23, 1.83, 22.3], \"ry\": -1.44}]\n```" + } + ] + }, + { + "id": 15, + "data_source": "Mono3DRefer", + "scene_name": "000029", + "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\": [652.31, 174.94, 690.16, 204.97], \"box_3d\": [1.64, 1.69, 3.3, 3.46, 1.78, 41.53], \"ry\": -1.63}]\n```" + } + ] + }, + { + "id": 16, + "data_source": "Mono3DRefer", + "scene_name": "000033", + "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\": 2.17, \"box_2d\": [0.0, 189.66, 234.52, 322.3], \"box_3d\": [1.48, 1.64, 3.59, -7.09, 1.75, 10.15], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [582.63, 175.1, 601.14, 189.77], \"box_3d\": [1.26, 1.6, 3.56, -1.64, 1.48, 64.47], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 17, + "data_source": "Mono3DRefer", + "scene_name": "000035", + "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\": [587.01, 173.33, 614.12, 200.12], \"box_3d\": [1.65, 1.67, 3.64, -0.65, 1.71, 46.7], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [425.44, 176.21, 529.23, 259.84], \"box_3d\": [1.61, 1.51, 4.5, -2.88, 1.71, 16.31], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [234.86, 185.44, 320.32, 231.58], \"box_3d\": [1.61, 1.72, 3.65, -12.69, 2.12, 27.71], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 18, + "data_source": "Mono3DRefer", + "scene_name": "000036", + "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\": [553.16, 178.73, 693.67, 311.88], \"box_3d\": [1.55, 1.63, 3.32, 0.11, 1.64, 10.13], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [341.05, 194.66, 390.28, 218.73], \"box_3d\": [1.37, 1.82, 3.96, -15.54, 2.81, 46.01], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [286.23, 196.48, 337.13, 220.85], \"box_3d\": [1.38, 1.79, 2.94, -18.46, 2.88, 44.69], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [412.76, 190.23, 455.28, 212.54], \"box_3d\": [1.4, 1.75, 4.75, -12.25, 2.66, 50.4], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.67, \"box_2d\": [960.19, 183.87, 1104.42, 229.69], \"box_3d\": [1.59, 1.73, 4.26, 15.49, 2.03, 26.68], \"ry\": -3.09}, {\"category\": \"Car\", \"angle\": 2.53, \"box_2d\": [1154.43, 178.14, 1241.0, 222.29], \"box_3d\": [1.55, 1.76, 3.59, 22.52, 1.76, 26.55], \"ry\": -3.06}]\n```" + } + ] + }, + { + "id": 19, + "data_source": "Mono3DRefer", + "scene_name": "000039", + "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\": [114.51, 193.47, 466.61, 374.0], \"box_3d\": [1.48, 1.67, 4.3, -2.7, 1.73, 7.17], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [683.15, 184.41, 776.5, 256.99], \"box_3d\": [1.46, 1.54, 3.62, 2.61, 1.74, 16.67], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [533.53, 177.81, 574.19, 212.8], \"box_3d\": [1.52, 1.57, 4.42, -2.6, 1.77, 33.82], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [653.23, 180.26, 702.93, 220.26], \"box_3d\": [1.51, 1.58, 3.92, 2.68, 1.82, 29.48], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [561.27, 178.49, 585.9, 201.02], \"box_3d\": [1.46, 1.6, 3.33, -2.47, 1.85, 48.95], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [639.85, 175.24, 667.59, 200.41], \"box_3d\": [1.64, 1.7, 3.54, 2.93, 1.82, 49.29], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 20, + "data_source": "Mono3DRefer", + "scene_name": "000040", + "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\": [474.58, 179.03, 516.72, 210.71], \"box_3d\": [1.45, 1.62, 3.83, -5.58, 1.77, 35.37], \"ry\": 1.52}]\n```" + } + ] + }, + { + "id": 21, + "data_source": "Mono3DRefer", + "scene_name": "000041", + "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\": -2.96, \"box_2d\": [439.52, 178.17, 508.93, 205.17], \"box_3d\": [1.49, 1.64, 3.7, -7.84, 1.82, 41.75], \"ry\": 3.14}]\n```" + } + ] + }, + { + "id": 22, + "data_source": "Mono3DRefer", + "scene_name": "000042", + "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\": [576.34, 174.48, 604.86, 202.67], \"box_3d\": [1.65, 1.67, 3.64, -1.21, 1.77, 44.49], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 23, + "data_source": "Mono3DRefer", + "scene_name": "000045", + "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\": 1.98, \"box_2d\": [269.01, 176.97, 375.72, 242.36], \"box_3d\": [1.8, 1.61, 3.83, -8.66, 1.94, 21.96], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [346.6, 186.7, 419.98, 229.04], \"box_3d\": [1.45, 1.45, 3.4, -8.46, 1.99, 27.06], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [387.31, 178.52, 455.56, 221.43], \"box_3d\": [1.75, 1.71, 4.31, -8.27, 2.02, 31.88], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [455.95, 181.43, 500.99, 209.72], \"box_3d\": [1.53, 1.66, 4.01, -7.54, 2.03, 41.53], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [480.03, 181.4, 517.92, 205.67], \"box_3d\": [1.48, 1.6, 3.9, -7.16, 2.05, 46.7], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 2.12, \"box_2d\": [75.43, 192.52, 273.65, 277.52], \"box_3d\": [1.47, 1.63, 4.11, -8.95, 1.92, 15.21], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 24, + "data_source": "Mono3DRefer", + "scene_name": "000046", + "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\": [578.47, 176.02, 625.98, 221.24], \"box_3d\": [1.54, 1.63, 3.67, -0.32, 1.68, 26.76], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [597.59, 168.75, 634.85, 207.61], \"box_3d\": [1.77, 1.69, 4.32, 0.26, 1.61, 35.33], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [769.21, 151.69, 1087.61, 374.0], \"box_3d\": [1.74, 1.62, 4.13, 2.87, 1.61, 7.64], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [706.06, 174.92, 807.35, 254.28], \"box_3d\": [1.53, 1.46, 3.26, 3.03, 1.59, 15.65], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [660.18, 171.93, 703.11, 210.02], \"box_3d\": [1.6, 1.56, 3.45, 3.13, 1.59, 32.3], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [646.4, 174.21, 684.26, 204.82], \"box_3d\": [1.52, 1.53, 4.07, 2.85, 1.62, 38.2], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 25, + "data_source": "Mono3DRefer", + "scene_name": "000047", + "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\": [572.31, 171.6, 624.11, 218.82], \"box_3d\": [1.6, 1.76, 3.84, -0.38, 1.13, 26.54], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -0.92, \"box_2d\": [0.0, 190.67, 171.41, 313.27], \"box_3d\": [1.47, 1.54, 3.51, -8.37, 1.59, 10.68], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.22, \"box_2d\": [214.99, 165.2, 423.55, 292.98], \"box_3d\": [1.78, 1.81, 4.32, -4.65, 1.49, 12.25], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.24, \"box_2d\": [296.94, 182.19, 393.12, 231.61], \"box_3d\": [1.45, 1.61, 4.3, -8.54, 1.37, 23.68], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.38, \"box_2d\": [428.19, 180.81, 498.01, 226.24], \"box_3d\": [1.45, 1.67, 3.88, -5.0, 1.3, 25.13], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.49, \"box_2d\": [522.27, 176.55, 552.71, 202.38], \"box_3d\": [1.63, 1.67, 3.92, -4.64, 1.07, 47.7], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -0.96, \"box_2d\": [0.0, 185.88, 180.39, 253.13], \"box_3d\": [1.42, 1.57, 4.23, -12.64, 1.46, 17.75], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.12, \"box_2d\": [193.59, 181.29, 294.71, 229.39], \"box_3d\": [1.58, 1.64, 3.96, -12.99, 1.45, 25.9], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 26, + "data_source": "Mono3DRefer", + "scene_name": "000049", + "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\": [287.85, 175.62, 379.41, 228.84], \"box_3d\": [1.45, 1.47, 3.52, -8.24, 1.56, 21.69], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.23, \"box_2d\": [0.0, 170.48, 111.64, 240.66], \"box_3d\": [1.53, 1.53, 3.45, -14.04, 1.5, 17.43], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [595.5, 177.15, 657.31, 227.34], \"box_3d\": [1.36, 1.69, 3.38, 0.45, 1.51, 21.55], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -2.24, \"box_2d\": [305.23, 179.59, 494.97, 263.68], \"box_3d\": [1.4, 1.6, 3.55, -4.1, 1.55, 13.75], \"ry\": -2.52}, {\"category\": \"Car\", \"angle\": -2.14, \"box_2d\": [410.09, 176.18, 514.77, 228.78], \"box_3d\": [1.46, 1.49, 3.4, -4.55, 1.58, 21.82], \"ry\": -2.34}, {\"category\": \"Car\", \"angle\": -2.25, \"box_2d\": [435.96, 173.6, 537.84, 218.33], \"box_3d\": [1.43, 1.62, 3.47, -4.31, 1.48, 24.83], \"ry\": -2.43}, {\"category\": \"Car\", \"angle\": -2.24, \"box_2d\": [473.64, 171.53, 556.16, 203.86], \"box_3d\": [1.37, 1.55, 3.96, -4.36, 1.34, 32.49], \"ry\": -2.37}, {\"category\": \"Car\", \"angle\": -1.98, \"box_2d\": [823.97, 189.33, 1083.14, 327.79], \"box_3d\": [1.41, 1.61, 3.71, 4.16, 1.66, 9.53], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [753.34, 185.35, 885.42, 263.59], \"box_3d\": [1.36, 1.59, 3.85, 4.1, 1.64, 14.89], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [719.83, 169.31, 816.44, 238.11], \"box_3d\": [1.72, 1.79, 3.94, 4.26, 1.66, 20.2], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -0.38, \"box_2d\": [776.77, 170.97, 882.28, 211.7], \"box_3d\": [1.7, 1.77, 4.06, 9.6, 1.65, 31.83], \"ry\": -0.09}, {\"category\": \"Car\", \"angle\": 2.26, \"box_2d\": [0.0, 178.64, 252.92, 280.6], \"box_3d\": [1.41, 1.58, 3.9, -7.94, 1.52, 12.04], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": 2.19, \"box_2d\": [194.14, 174.89, 341.99, 241.74], \"box_3d\": [1.44, 1.58, 3.25, -8.06, 1.5, 17.23], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [603.49, 171.71, 639.3, 204.36], \"box_3d\": [1.52, 1.67, 3.61, 0.55, 1.49, 35.67], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 27, + "data_source": "Mono3DRefer", + "scene_name": "000051", + "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\": [713.9, 174.69, 744.43, 204.49], \"box_3d\": [1.55, 1.57, 3.64, 6.5, 1.68, 39.76], \"ry\": -1.43}]\n```" + } + ] + }, + { + "id": 28, + "data_source": "Mono3DRefer", + "scene_name": "000055", + "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\": [31.61, 193.32, 129.71, 230.77], \"box_3d\": [1.48, 1.35, 3.93, -23.47, 2.44, 32.12], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 2.14, \"box_2d\": [104.42, 188.01, 188.34, 220.56], \"box_3d\": [1.5, 1.62, 4.08, -23.45, 2.3, 36.62], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [183.23, 187.33, 245.86, 217.54], \"box_3d\": [1.65, 1.57, 3.82, -23.27, 2.53, 42.56], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.04, \"box_2d\": [227.36, 189.17, 281.98, 211.96], \"box_3d\": [1.37, 1.36, 4.44, -23.4, 2.48, 47.64], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 29, + "data_source": "Mono3DRefer", + "scene_name": "000057", + "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\": [514.51, 193.66, 563.52, 231.99], \"box_3d\": [1.42, 1.66, 4.11, -2.97, 2.35, 30.55], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 30, + "data_source": "Mono3DRefer", + "scene_name": "000059", + "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\": [558.06, 180.83, 599.17, 213.45], \"box_3d\": [1.26, 1.6, 3.56, -1.33, 1.6, 30.01], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [509.12, 180.43, 543.44, 205.58], \"box_3d\": [1.37, 1.63, 3.57, -4.82, 1.82, 41.7], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 2.4, \"box_2d\": [969.34, 195.19, 1100.37, 246.63], \"box_3d\": [1.38, 1.35, 3.3, 12.55, 2.08, 21.41], \"ry\": 2.92}, {\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [1129.34, 194.18, 1241.0, 249.48], \"box_3d\": [1.59, 1.73, 4.02, 19.12, 2.33, 23.51], \"ry\": 2.75}]\n```" + } + ] + }, + { + "id": 31, + "data_source": "Mono3DRefer", + "scene_name": "000060", + "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\": [550.84, 173.54, 614.08, 236.57], \"box_3d\": [1.62, 1.63, 4.5, -0.78, 1.67, 21.02], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [305.57, 177.91, 341.6, 196.33], \"box_3d\": [1.46, 1.31, 4.15, -23.72, 1.89, 59.83], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 32, + "data_source": "Mono3DRefer", + "scene_name": "000061", + "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\": [69.7, 217.73, 112.22, 254.15], \"box_3d\": [1.39, 1.52, 3.56, -23.89, 3.55, 33.21], \"ry\": 0.96}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [0.0, 218.4, 93.89, 297.9], \"box_3d\": [1.46, 1.59, 3.35, -13.06, 2.61, 16.63], \"ry\": 1.01}]\n```" + } + ] + }, + { + "id": 33, + "data_source": "Mono3DRefer", + "scene_name": "000064", + "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\": [715.18, 175.63, 762.77, 203.9], \"box_3d\": [1.44, 1.56, 3.96, 6.91, 1.61, 39.17], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [657.65, 179.93, 709.86, 219.92], \"box_3d\": [1.38, 1.49, 3.32, 2.65, 1.65, 26.82], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [731.51, 180.39, 882.28, 275.8], \"box_3d\": [1.5, 1.62, 3.89, 3.43, 1.65, 13.46], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 34, + "data_source": "Mono3DRefer", + "scene_name": "000066", + "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\": -1.53, \"box_2d\": [671.48, 168.74, 710.12, 206.53], \"box_3d\": [1.57, 1.56, 2.62, 3.54, 1.42, 31.58], \"ry\": -1.42}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [591.73, 172.89, 633.98, 199.59], \"box_3d\": [1.43, 1.68, 4.19, 0.19, 1.46, 40.99], \"ry\": 1.75}]\n```" + } + ] + }, + { + "id": 35, + "data_source": "Mono3DRefer", + "scene_name": "000068", + "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\": [69.26, 200.28, 435.08, 374.0], \"box_3d\": [1.46, 1.62, 4.04, -3.0, 1.79, 6.98], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.26, \"box_2d\": [0.0, 209.2, 198.59, 374.0], \"box_3d\": [1.46, 1.58, 3.72, -5.44, 1.85, 6.22], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [478.18, 187.68, 549.54, 249.43], \"box_3d\": [1.57, 1.6, 3.99, -2.73, 2.03, 20.96], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [530.03, 187.79, 573.1, 226.09], \"box_3d\": [1.52, 1.54, 3.68, -2.53, 2.2, 31.5], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -0.16, \"box_2d\": [667.74, 182.35, 790.82, 230.38], \"box_3d\": [1.62, 1.65, 4.14, 4.19, 1.99, 25.95], \"ry\": 0.0}, {\"category\": \"Car\", \"angle\": -0.11, \"box_2d\": [657.37, 184.48, 763.34, 221.64], \"box_3d\": [1.55, 1.66, 4.47, 4.35, 2.1, 32.0], \"ry\": 0.02}, {\"category\": \"Car\", \"angle\": -0.01, \"box_2d\": [637.45, 180.34, 714.44, 212.34], \"box_3d\": [1.69, 1.76, 4.12, 3.59, 2.12, 39.79], \"ry\": 0.08}]\n```" + } + ] + }, + { + "id": 36, + "data_source": "Mono3DRefer", + "scene_name": "000069", + "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\": -2.73, \"box_2d\": [130.0, 186.92, 355.47, 257.87], \"box_3d\": [1.47, 1.74, 4.26, -8.31, 1.82, 16.53], \"ry\": 3.1}, {\"category\": \"Car\", \"angle\": 0.21, \"box_2d\": [501.21, 177.91, 556.47, 194.32], \"box_3d\": [1.36, 1.68, 4.49, -7.02, 1.82, 62.51], \"ry\": 0.1}]\n```" + } + ] + }, + { + "id": 37, + "data_source": "Mono3DRefer", + "scene_name": "000071", + "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\": [596.84, 174.1, 664.34, 239.31], \"box_3d\": [1.61, 1.66, 3.2, 0.51, 1.67, 19.58], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 38, + "data_source": "Mono3DRefer", + "scene_name": "000078", + "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\": [615.97, 168.04, 651.65, 189.21], \"box_3d\": [1.43, 1.68, 4.19, 1.72, 1.13, 51.25], \"ry\": 1.82}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [222.78, 166.78, 454.29, 308.44], \"box_3d\": [1.7, 1.82, 4.45, -3.82, 1.66, 10.96], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.47, \"box_2d\": [658.66, 166.95, 697.19, 201.46], \"box_3d\": [1.57, 1.56, 2.62, 3.24, 1.32, 34.46], \"ry\": -1.38}]\n```" + } + ] + }, + { + "id": 39, + "data_source": "Mono3DRefer", + "scene_name": "000079", + "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\": [669.49, 174.52, 700.47, 196.1], \"box_3d\": [1.32, 1.48, 4.44, 4.88, 1.45, 46.78], \"ry\": -1.35}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [701.01, 171.82, 742.42, 201.29], \"box_3d\": [1.42, 1.56, 4.16, 5.75, 1.39, 36.99], \"ry\": -1.29}, {\"category\": \"Car\", \"angle\": -1.08, \"box_2d\": [357.22, 182.05, 567.87, 301.78], \"box_3d\": [1.45, 1.59, 3.44, -2.04, 1.61, 10.74], \"ry\": -1.26}, {\"category\": \"Car\", \"angle\": -0.7, \"box_2d\": [0.0, 183.03, 326.6, 330.77], \"box_3d\": [1.51, 1.61, 4.31, -6.07, 1.67, 9.82], \"ry\": -1.24}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [483.32, 182.25, 518.76, 207.09], \"box_3d\": [1.44, 1.35, 3.23, -6.67, 2.03, 44.23], \"ry\": 1.68}]\n```" + } + ] + }, + { + "id": 40, + "data_source": "Mono3DRefer", + "scene_name": "000080", + "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\": [457.71, 176.44, 528.64, 229.39], \"box_3d\": [1.58, 1.6, 4.11, -3.79, 1.72, 23.79], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [536.11, 176.89, 565.32, 202.72], \"box_3d\": [1.52, 1.55, 3.79, -3.68, 1.79, 44.92], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [589.68, 172.46, 633.43, 216.04], \"box_3d\": [1.62, 1.63, 4.5, 0.02, 1.64, 29.39], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 41, + "data_source": "Mono3DRefer", + "scene_name": "000083", + "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\": -0.92, \"box_2d\": [0.0, 202.73, 361.84, 373.0], \"box_3d\": [1.47, 1.59, 4.03, -2.57, 1.64, 3.15], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.35, \"box_2d\": [368.92, 183.19, 504.02, 279.22], \"box_3d\": [1.41, 1.54, 3.36, -2.74, 1.45, 12.45], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [587.82, 169.53, 643.17, 220.02], \"box_3d\": [1.52, 1.67, 4.38, 0.43, 1.16, 24.12], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.47, \"box_2d\": [519.33, 170.45, 571.86, 215.65], \"box_3d\": [1.56, 1.59, 3.65, -2.04, 1.18, 26.91], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [463.38, 174.76, 511.89, 205.66], \"box_3d\": [1.42, 1.56, 4.16, -5.56, 1.11, 35.5], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 42, + "data_source": "Mono3DRefer", + "scene_name": "000084", + "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\": [459.33, 179.71, 505.68, 227.3], \"box_3d\": [1.68, 1.63, 3.9, -4.99, 1.96, 27.84], \"ry\": 1.37}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [448.2, 181.65, 486.43, 208.6], \"box_3d\": [1.47, 1.7, 4.39, -8.4, 1.99, 42.1], \"ry\": 1.26}]\n```" + } + ] + }, + { + "id": 43, + "data_source": "Mono3DRefer", + "scene_name": "000085", + "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\": -2.42, \"box_2d\": [0.0, 179.86, 156.79, 244.69], \"box_3d\": [1.44, 1.62, 3.91, -13.19, 1.62, 17.05], \"ry\": -3.07}]\n```" + } + ] + }, + { + "id": 44, + "data_source": "Mono3DRefer", + "scene_name": "000087", + "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\": [23.14, 183.9, 225.74, 258.36], \"box_3d\": [1.45, 1.59, 4.28, -10.88, 1.72, 16.52], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [694.9, 174.26, 735.64, 207.53], \"box_3d\": [1.43, 1.59, 4.21, 4.79, 1.52, 33.48], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": 3.11, \"box_2d\": [797.32, 169.25, 844.72, 185.72], \"box_3d\": [1.41, 1.59, 4.01, 18.87, 1.13, 64.7], \"ry\": -2.89}, {\"category\": \"Car\", \"angle\": 3.04, \"box_2d\": [886.07, 166.52, 939.02, 185.61], \"box_3d\": [1.59, 1.64, 4.08, 26.27, 1.09, 62.79], \"ry\": -2.85}]\n```" + } + ] + }, + { + "id": 45, + "data_source": "Mono3DRefer", + "scene_name": "000088", + "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\": 0.49, \"box_2d\": [175.86, 191.58, 373.02, 247.37], \"box_3d\": [1.36, 1.68, 4.49, -8.88, 1.89, 19.19], \"ry\": 0.06}]\n```" + } + ] + }, + { + "id": 46, + "data_source": "Mono3DRefer", + "scene_name": "000089", + "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\": [317.74, 196.5, 504.71, 314.03], \"box_3d\": [1.33, 1.71, 4.09, -2.79, 1.75, 10.91], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [657.48, 176.96, 720.62, 224.75], \"box_3d\": [1.49, 1.56, 4.34, 2.6, 1.65, 24.94], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [458.28, 184.16, 538.75, 243.43], \"box_3d\": [1.42, 1.53, 4.12, -3.0, 1.75, 19.85], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [704.25, 177.37, 853.41, 287.79], \"box_3d\": [1.59, 1.59, 3.89, 2.68, 1.69, 12.49], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [635.02, 178.02, 665.21, 203.12], \"box_3d\": [1.38, 1.64, 3.51, 2.33, 1.69, 41.73], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 47, + "data_source": "Mono3DRefer", + "scene_name": "000090", + "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\": [5.08, 199.56, 126.68, 269.46], \"box_3d\": [1.57, 1.72, 3.52, -14.21, 2.3, 18.74], \"ry\": -2.46}]\n```" + } + ] + }, + { + "id": 48, + "data_source": "Mono3DRefer", + "scene_name": "000091", + "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\": [709.26, 175.05, 738.72, 203.83], \"box_3d\": [1.55, 1.57, 3.64, 6.46, 1.7, 41.1], \"ry\": -1.42}]\n```" + } + ] + }, + { + "id": 49, + "data_source": "Mono3DRefer", + "scene_name": "000093", + "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\": [0.0, 187.51, 326.99, 374.0], \"box_3d\": [1.61, 1.74, 4.06, -4.56, 1.79, 7.29], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [722.86, 168.15, 812.89, 237.29], \"box_3d\": [1.77, 1.77, 5.1, 4.44, 1.69, 21.21], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [246.99, 194.92, 425.43, 297.77], \"box_3d\": [1.39, 1.55, 3.65, -4.46, 1.81, 12.2], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [359.29, 185.63, 479.38, 258.98], \"box_3d\": [1.46, 1.63, 3.92, -4.32, 1.79, 16.8], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [550.61, 176.8, 587.13, 202.37], \"box_3d\": [1.47, 1.66, 3.76, -2.47, 1.72, 43.68], \"ry\": 1.66}]\n```" + } + ] + }, + { + "id": 50, + "data_source": "Mono3DRefer", + "scene_name": "000095", + "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\": [599.12, 182.07, 667.54, 247.13], \"box_3d\": [1.56, 1.65, 3.69, 0.52, 1.82, 19.42], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.11, \"box_2d\": [774.94, 172.0, 963.28, 270.83], \"box_3d\": [1.54, 1.72, 3.88, 4.81, 1.54, 13.24], \"ry\": -0.77}, {\"category\": \"Car\", \"angle\": -0.98, \"box_2d\": [705.57, 179.11, 802.71, 228.95], \"box_3d\": [1.52, 1.49, 3.46, 4.83, 1.75, 24.11], \"ry\": -0.79}, {\"category\": \"Car\", \"angle\": -0.91, \"box_2d\": [673.38, 181.32, 757.07, 216.77], \"box_3d\": [1.39, 1.61, 3.65, 4.49, 1.77, 30.76], \"ry\": -0.76}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [146.16, 192.89, 340.09, 290.07], \"box_3d\": [1.52, 1.65, 4.1, -6.9, 1.96, 14.01], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [452.35, 183.18, 509.3, 222.21], \"box_3d\": [1.6, 1.6, 3.77, -5.69, 2.07, 31.97], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [527.28, 181.12, 563.95, 206.6], \"box_3d\": [1.61, 1.7, 3.97, -4.28, 2.18, 48.2], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [241.74, 191.35, 355.4, 242.41], \"box_3d\": [1.45, 1.65, 4.63, -10.25, 2.12, 24.07], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [327.5, 181.26, 399.59, 228.12], \"box_3d\": [1.81, 1.59, 3.93, -10.26, 2.18, 30.22], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [410.89, 183.43, 465.31, 213.35], \"box_3d\": [1.56, 1.62, 4.19, -9.63, 2.18, 40.62], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [486.69, 184.25, 533.31, 204.92], \"box_3d\": [1.42, 1.67, 4.53, -7.35, 2.29, 53.34], \"ry\": 1.86}, {\"category\": \"Car\", \"angle\": 2.27, \"box_2d\": [71.71, 187.44, 194.72, 239.44], \"box_3d\": [1.47, 1.48, 3.21, -14.81, 1.95, 22.53], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": 2.45, \"box_2d\": [87.38, 185.27, 204.23, 220.99], \"box_3d\": [1.47, 1.78, 4.34, -21.08, 2.07, 32.94], \"ry\": 1.88}]\n```" + } + ] + }, + { + "id": 51, + "data_source": "Mono3DRefer", + "scene_name": "000096", + "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\": -0.64, \"box_2d\": [783.79, 184.68, 1176.76, 339.87], \"box_3d\": [1.41, 1.62, 3.6, 3.91, 1.57, 7.94], \"ry\": -0.19}, {\"category\": \"Car\", \"angle\": -0.48, \"box_2d\": [661.39, 160.21, 1003.28, 300.49], \"box_3d\": [1.77, 1.96, 4.39, 3.11, 1.63, 10.63], \"ry\": -0.21}, {\"category\": \"Car\", \"angle\": 1.43, \"box_2d\": [505.85, 185.26, 557.04, 219.6], \"box_3d\": [1.37, 1.6, 4.5, -3.59, 1.94, 31.97], \"ry\": 1.32}, {\"category\": \"Car\", \"angle\": -0.41, \"box_2d\": [639.45, 187.58, 879.59, 275.73], \"box_3d\": [1.4, 1.51, 3.98, 2.62, 1.69, 13.09], \"ry\": -0.22}]\n```" + } + ] + }, + { + "id": 52, + "data_source": "Mono3DRefer", + "scene_name": "000097", + "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\": [536.07, 176.04, 569.72, 194.78], \"box_3d\": [1.45, 1.59, 4.28, -4.6, 1.73, 58.47], \"ry\": 1.77}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [717.03, 174.45, 738.76, 193.71], \"box_3d\": [1.43, 1.59, 4.21, 9.2, 1.58, 56.31], \"ry\": -1.4}]\n```" + } + ] + }, + { + "id": 53, + "data_source": "Mono3DRefer", + "scene_name": "000100", + "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\": -2.46, \"box_2d\": [19.88, 179.87, 206.64, 238.0], \"box_3d\": [1.44, 1.62, 3.91, -13.04, 1.64, 18.98], \"ry\": -3.05}]\n```" + } + ] + }, + { + "id": 54, + "data_source": "Mono3DRefer", + "scene_name": "000101", + "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\": [569.23, 177.21, 636.06, 240.52], \"box_3d\": [1.55, 1.63, 3.32, -0.22, 1.68, 19.47], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.22, \"box_2d\": [0.0, 212.95, 108.77, 265.03], \"box_3d\": [1.4, 1.85, 4.11, -19.15, 2.85, 24.13], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.09, \"box_2d\": [106.33, 200.09, 220.09, 253.47], \"box_3d\": [1.62, 1.85, 3.57, -15.54, 2.63, 25.25], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 55, + "data_source": "Mono3DRefer", + "scene_name": "000104", + "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\": [818.86, 180.55, 882.54, 238.79], \"box_3d\": [1.65, 1.67, 3.64, 7.57, 1.91, 22.62], \"ry\": -1.19}, {\"category\": \"Car\", \"angle\": 2.13, \"box_2d\": [362.79, 181.57, 534.13, 261.63], \"box_3d\": [1.47, 1.57, 4.24, -3.36, 1.68, 15.69], \"ry\": 1.93}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [610.21, 182.8, 684.9, 222.12], \"box_3d\": [1.4, 1.68, 4.45, 1.55, 1.82, 28.61], \"ry\": 1.93}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [683.05, 182.45, 729.23, 213.01], \"box_3d\": [1.45, 1.62, 3.77, 4.93, 1.96, 36.89], \"ry\": 1.9}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [713.77, 181.24, 750.23, 207.65], \"box_3d\": [1.53, 1.46, 4.18, 7.56, 2.07, 44.59], \"ry\": 1.92}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [739.72, 181.11, 769.04, 203.92], \"box_3d\": [1.59, 1.57, 3.39, 10.52, 2.2, 52.53], \"ry\": 1.92}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [855.51, 185.67, 886.83, 212.32], \"box_3d\": [1.5, 1.61, 4.07, 15.93, 2.31, 43.98], \"ry\": -1.18}]\n```" + } + ] + }, + { + "id": 56, + "data_source": "Mono3DRefer", + "scene_name": "000106", + "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\": [603.07, 177.15, 630.68, 204.3], \"box_3d\": [1.65, 1.67, 3.64, 0.38, 1.94, 46.12], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 2.18, \"box_2d\": [0.0, 202.63, 204.81, 291.54], \"box_3d\": [1.33, 1.46, 3.87, -9.63, 1.97, 13.8], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [167.11, 187.32, 280.23, 244.78], \"box_3d\": [1.63, 1.5, 3.83, -12.2, 2.11, 22.99], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [449.26, 183.72, 483.4, 204.87], \"box_3d\": [1.46, 1.58, 4.32, -10.56, 2.28, 53.19], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 57, + "data_source": "Mono3DRefer", + "scene_name": "000107", + "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\": [812.76, 184.44, 1241.0, 374.0], \"box_3d\": [1.46, 1.56, 4.11, 2.54, 1.55, 4.31], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [733.06, 182.54, 934.34, 317.95], \"box_3d\": [1.45, 1.49, 3.79, 2.73, 1.6, 9.79], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [683.98, 178.38, 792.24, 258.45], \"box_3d\": [1.5, 1.53, 4.13, 2.6, 1.64, 15.74], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [470.09, 178.3, 539.83, 233.3], \"box_3d\": [1.58, 1.65, 3.91, -3.28, 1.77, 22.89], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [671.73, 179.32, 733.51, 228.42], \"box_3d\": [1.47, 1.57, 4.09, 2.94, 1.69, 23.86], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [650.51, 179.32, 692.59, 214.58], \"box_3d\": [1.45, 1.58, 3.53, 2.63, 1.75, 31.83], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [634.97, 177.56, 666.89, 203.78], \"box_3d\": [1.46, 1.67, 4.4, 2.36, 1.76, 42.96], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 58, + "data_source": "Mono3DRefer", + "scene_name": "000108", + "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\": [568.94, 172.64, 674.17, 273.99], \"box_3d\": [1.66, 1.73, 3.05, 0.14, 1.68, 13.49], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 59, + "data_source": "Mono3DRefer", + "scene_name": "000110", + "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\": 2.5, \"box_2d\": [862.65, 129.39, 1241.0, 304.96], \"box_3d\": [1.73, 1.74, 4.71, 5.5, 1.3, 8.19], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [346.64, 175.63, 449.93, 248.9], \"box_3d\": [1.58, 1.76, 4.18, -5.13, 1.67, 17.86], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [420.44, 170.72, 540.83, 256.12], \"box_3d\": [1.65, 1.88, 4.45, -2.78, 1.64, 16.3], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -0.35, \"box_2d\": [815.59, 143.96, 962.82, 198.54], \"box_3d\": [1.9, 1.78, 4.72, 10.19, 0.9, 26.65], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -2.09, \"box_2d\": [966.1, 144.74, 1039.76, 182.96], \"box_3d\": [1.8, 1.65, 3.55, 19.49, 0.49, 35.99], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -2.13, \"box_2d\": [1004.98, 144.16, 1087.13, 178.96], \"box_3d\": [1.64, 1.7, 3.91, 21.91, 0.3, 36.47], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [407.73, 178.44, 487.07, 230.28], \"box_3d\": [1.55, 1.71, 4.5, -5.35, 1.76, 24.13], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [657.19, 166.33, 702.65, 198.71], \"box_3d\": [1.5, 1.71, 4.44, 3.39, 1.22, 35.96], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [599.3, 171.76, 631.96, 197.12], \"box_3d\": [1.58, 1.71, 3.75, 0.39, 1.54, 47.31], \"ry\": -1.45}]\n```" + } + ] + }, + { + "id": 60, + "data_source": "Mono3DRefer", + "scene_name": "000111", + "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\": [372.76, 177.51, 404.38, 199.68], \"box_3d\": [1.47, 1.29, 2.95, -15.21, 1.8, 49.6], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.43, \"box_2d\": [135.31, 178.56, 175.28, 203.7], \"box_3d\": [1.48, 1.59, 3.66, -28.28, 1.86, 44.78], \"ry\": 0.87}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [591.97, 174.6, 640.35, 220.36], \"box_3d\": [1.56, 1.65, 3.69, 0.16, 1.65, 26.69], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [386.09, 185.25, 455.28, 225.54], \"box_3d\": [1.37, 1.64, 3.92, -7.11, 1.86, 27.32], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.01, \"box_2d\": [738.48, 169.58, 918.26, 253.0], \"box_3d\": [1.49, 1.59, 4.09, 4.54, 1.44, 14.81], \"ry\": -0.72}, {\"category\": \"Car\", \"angle\": -0.96, \"box_2d\": [684.2, 174.95, 809.64, 227.09], \"box_3d\": [1.4, 1.63, 4.05, 4.1, 1.47, 21.44], \"ry\": -0.78}, {\"category\": \"Car\", \"angle\": -0.93, \"box_2d\": [682.09, 169.25, 770.32, 211.71], \"box_3d\": [1.61, 1.67, 3.65, 4.72, 1.49, 29.23], \"ry\": -0.78}, {\"category\": \"Car\", \"angle\": -0.87, \"box_2d\": [646.27, 173.34, 712.42, 199.45], \"box_3d\": [1.49, 1.63, 4.16, 4.17, 1.53, 43.22], \"ry\": -0.78}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [393.82, 175.82, 444.37, 206.32], \"box_3d\": [1.67, 1.68, 4.49, -11.09, 1.86, 42.11], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [425.76, 175.42, 465.53, 200.91], \"box_3d\": [1.63, 1.58, 4.2, -11.03, 1.82, 48.57], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 61, + "data_source": "Mono3DRefer", + "scene_name": "000113", + "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\": [924.07, 136.19, 1241.0, 374.0], \"box_3d\": [1.75, 1.84, 4.43, 4.23, 1.53, 7.09], \"ry\": -1.23}, {\"category\": \"Car\", \"angle\": -1.33, \"box_2d\": [318.14, 182.8, 401.33, 229.76], \"box_3d\": [1.48, 1.71, 4.65, -8.76, 1.84, 25.53], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.18, \"box_2d\": [214.55, 166.45, 318.87, 230.67], \"box_3d\": [2.04, 1.66, 4.62, -11.97, 1.87, 25.43], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [455.9, 171.22, 499.06, 205.38], \"box_3d\": [1.42, 1.64, 3.95, -5.92, 1.38, 32.39], \"ry\": -1.69}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [692.53, 171.83, 770.72, 215.35], \"box_3d\": [1.51, 1.72, 4.5, 4.5, 1.51, 27.59], \"ry\": -1.69}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [573.97, 163.73, 607.83, 193.3], \"box_3d\": [1.7, 1.8, 4.5, -1.24, 1.2, 44.05], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": -1.9, \"box_2d\": [745.82, 166.87, 827.42, 212.81], \"box_3d\": [1.64, 1.73, 4.43, 6.77, 1.46, 28.28], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.02, \"box_2d\": [37.15, 187.2, 172.25, 237.32], \"box_3d\": [1.53, 1.61, 4.73, -17.54, 2.06, 25.31], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -0.98, \"box_2d\": [0.0, 192.82, 32.87, 233.67], \"box_3d\": [1.4, 1.56, 3.48, -22.11, 2.13, 25.07], \"ry\": -1.7}]\n```" + } + ] + }, + { + "id": 62, + "data_source": "Mono3DRefer", + "scene_name": "000116", + "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\": [495.51, 181.48, 548.24, 222.91], \"box_3d\": [1.55, 1.64, 3.7, -3.54, 1.91, 29.23], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [563.32, 177.53, 606.36, 208.9], \"box_3d\": [1.63, 1.81, 4.54, -1.36, 1.91, 40.16], \"ry\": -1.48}, {\"category\": \"Car\", \"angle\": 1.18, \"box_2d\": [793.39, 146.43, 1130.33, 369.18], \"box_3d\": [1.77, 1.63, 4.1, 3.31, 1.59, 7.85], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [682.29, 172.91, 753.25, 230.45], \"box_3d\": [1.69, 1.64, 4.21, 3.38, 1.73, 23.57], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 63, + "data_source": "Mono3DRefer", + "scene_name": "000119", + "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\": [381.63, 186.6, 479.85, 256.4], \"box_3d\": [1.4, 1.45, 3.3, -4.05, 1.74, 16.55], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [496.82, 183.63, 587.26, 252.05], \"box_3d\": [1.4, 1.63, 3.89, -1.53, 1.67, 17.03], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [519.34, 180.25, 550.61, 206.65], \"box_3d\": [1.38, 1.33, 4.32, -4.17, 1.8, 40.28], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 64, + "data_source": "Mono3DRefer", + "scene_name": "000121", + "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\": [340.31, 183.86, 415.2, 224.13], \"box_3d\": [1.44, 1.35, 3.23, -8.97, 1.89, 27.99], \"ry\": 1.77}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [487.45, 180.67, 524.76, 205.44], \"box_3d\": [1.46, 1.37, 3.45, -6.43, 1.96, 44.77], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [721.67, 170.45, 752.7, 196.14], \"box_3d\": [1.45, 1.59, 3.44, 7.57, 1.34, 42.88], \"ry\": -1.33}, {\"category\": \"Car\", \"angle\": -1.36, \"box_2d\": [637.5, 172.08, 683.95, 202.02], \"box_3d\": [1.51, 1.61, 4.31, 2.76, 1.5, 38.75], \"ry\": -1.29}]\n```" + } + ] + }, + { + "id": 65, + "data_source": "Mono3DRefer", + "scene_name": "000122", + "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\": [581.54, 177.91, 650.72, 244.53], \"box_3d\": [1.66, 1.73, 3.05, 0.11, 1.82, 19.73], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 66, + "data_source": "Mono3DRefer", + "scene_name": "000123", + "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\": [602.41, 176.05, 634.63, 198.55], \"box_3d\": [1.44, 1.68, 4.39, 0.6, 1.67, 48.73], \"ry\": 1.7}]\n```" + } + ] + }, + { + "id": 67, + "data_source": "Mono3DRefer", + "scene_name": "000125", + "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\": [518.63, 165.68, 740.8, 374.0], \"box_3d\": [1.55, 1.63, 3.32, 0.1, 1.52, 7.01], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.4, \"box_2d\": [207.64, 191.87, 314.06, 224.57], \"box_3d\": [1.46, 1.85, 4.52, -16.75, 2.4, 34.57], \"ry\": -2.85}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [376.83, 185.26, 418.16, 205.23], \"box_3d\": [1.37, 1.82, 3.96, -15.63, 2.31, 53.18], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -2.27, \"box_2d\": [62.38, 201.43, 144.37, 232.69], \"box_3d\": [1.52, 1.8, 3.3, -26.45, 3.04, 37.65], \"ry\": -2.88}, {\"category\": \"Car\", \"angle\": -2.58, \"box_2d\": [327.61, 183.69, 399.92, 214.87], \"box_3d\": [1.6, 1.6, 3.29, -13.14, 2.2, 38.47], \"ry\": -2.91}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [335.04, 187.99, 374.41, 208.15], \"box_3d\": [1.38, 1.79, 2.94, -18.58, 2.51, 52.57], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [425.88, 181.46, 464.31, 201.44], \"box_3d\": [1.4, 1.75, 4.75, -12.29, 2.06, 53.93], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 68, + "data_source": "Mono3DRefer", + "scene_name": "000128", + "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\": 2.17, \"box_2d\": [6.2, 184.24, 193.57, 262.33], \"box_3d\": [1.84, 2.04, 4.33, -13.63, 2.18, 19.61], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 69, + "data_source": "Mono3DRefer", + "scene_name": "000129", + "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\": [53.08, 185.99, 265.42, 288.46], \"box_3d\": [1.73, 1.6, 4.11, -8.86, 2.02, 14.58], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [301.7, 185.67, 399.78, 235.31], \"box_3d\": [1.47, 1.63, 4.11, -8.54, 1.92, 24.02], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [385.9, 175.79, 451.78, 221.27], \"box_3d\": [1.8, 1.61, 3.83, -8.09, 1.95, 30.74], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [429.43, 183.6, 476.76, 214.77], \"box_3d\": [1.45, 1.45, 3.4, -7.78, 2.0, 35.85], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [451.47, 178.0, 500.72, 211.1], \"box_3d\": [1.75, 1.71, 4.31, -7.51, 2.06, 40.69], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [497.01, 180.44, 532.54, 203.57], \"box_3d\": [1.53, 1.66, 4.01, -6.6, 2.06, 50.21], \"ry\": 1.64}]\n```" + } + ] + }, + { + "id": 70, + "data_source": "Mono3DRefer", + "scene_name": "000131", + "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\": -0.69, \"box_2d\": [205.19, 186.62, 358.07, 240.66], \"box_3d\": [1.35, 1.6, 3.86, -9.36, 1.78, 20.79], \"ry\": -1.11}, {\"category\": \"Car\", \"angle\": -0.93, \"box_2d\": [442.96, 178.65, 530.25, 217.98], \"box_3d\": [1.49, 1.53, 3.8, -5.01, 1.74, 29.57], \"ry\": -1.09}, {\"category\": \"Car\", \"angle\": 2.43, \"box_2d\": [208.95, 180.57, 327.36, 223.32], \"box_3d\": [1.49, 1.34, 4.25, -13.04, 1.81, 27.73], \"ry\": 1.99}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [459.14, 174.29, 520.51, 205.65], \"box_3d\": [1.72, 1.53, 4.55, -6.95, 1.83, 42.04], \"ry\": 1.9}, {\"category\": \"Car\", \"angle\": -1.12, \"box_2d\": [576.15, 174.56, 629.6, 202.46], \"box_3d\": [1.49, 1.56, 3.65, -0.38, 1.6, 40.56], \"ry\": -1.13}, {\"category\": \"Car\", \"angle\": -1.3, \"box_2d\": [711.82, 173.54, 737.26, 190.13], \"box_3d\": [1.44, 1.46, 3.16, 10.3, 1.52, 64.8], \"ry\": -1.15}]\n```" + } + ] + }, + { + "id": 71, + "data_source": "Mono3DRefer", + "scene_name": "000137", + "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\": [595.95, 175.74, 627.85, 206.45], \"box_3d\": [1.66, 1.73, 3.05, 0.07, 1.85, 41.01], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [317.87, 186.6, 376.12, 218.12], \"box_3d\": [1.5, 1.8, 3.46, -13.5, 2.23, 37.14], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [426.78, 182.03, 458.71, 202.32], \"box_3d\": [1.54, 1.66, 3.72, -13.36, 2.29, 57.74], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 72, + "data_source": "Mono3DRefer", + "scene_name": "000138", + "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\": -0.95, \"box_2d\": [38.45, 181.56, 140.57, 224.81], \"box_3d\": [1.56, 1.72, 3.09, -20.09, 1.91, 27.95], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [382.74, 181.02, 491.72, 251.1], \"box_3d\": [1.46, 1.59, 4.12, -4.03, 1.67, 17.29], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.14, \"box_2d\": [269.6, 176.91, 317.85, 202.62], \"box_3d\": [1.57, 1.57, 3.32, -20.26, 1.85, 46.28], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [307.38, 175.77, 355.18, 199.29], \"box_3d\": [1.57, 1.2, 5.24, -19.72, 1.8, 51.21], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [547.16, 176.49, 571.08, 194.74], \"box_3d\": [1.41, 1.69, 4.36, -4.11, 1.73, 58.61], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [506.46, 172.23, 549.63, 209.98], \"box_3d\": [1.72, 1.66, 4.32, -3.99, 1.73, 35.41], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [586.18, 174.11, 623.76, 211.54], \"box_3d\": [1.62, 1.63, 4.5, -0.24, 1.71, 33.84], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 73, + "data_source": "Mono3DRefer", + "scene_name": "000139", + "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\": [594.35, 177.97, 621.4, 204.02], \"box_3d\": [1.66, 1.73, 3.05, -0.16, 2.02, 48.08], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 74, + "data_source": "Mono3DRefer", + "scene_name": "000141", + "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\": [405.52, 184.59, 530.15, 263.84], \"box_3d\": [1.44, 1.68, 4.39, -2.94, 1.71, 15.64], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 75, + "data_source": "Mono3DRefer", + "scene_name": "000142", + "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\": [835.06, 166.73, 1241.0, 374.0], \"box_3d\": [1.57, 1.54, 3.22, 2.86, 1.56, 5.12], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [726.07, 154.71, 916.86, 306.71], \"box_3d\": [1.74, 1.6, 3.86, 2.7, 1.56, 10.24], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [688.52, 153.34, 806.1, 252.85], \"box_3d\": [1.83, 1.69, 4.44, 2.74, 1.5, 15.58], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [678.28, 170.36, 747.97, 231.25], \"box_3d\": [1.61, 1.62, 3.78, 2.9, 1.57, 21.17], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [530.82, 167.68, 560.49, 197.37], \"box_3d\": [1.86, 1.57, 3.83, -4.22, 1.56, 47.51], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [428.14, 178.08, 495.67, 225.49], \"box_3d\": [1.5, 1.46, 3.7, -5.05, 1.69, 24.84], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.21, \"box_2d\": [0.0, 197.78, 273.61, 374.0], \"box_3d\": [1.54, 1.54, 3.72, -5.07, 1.84, 7.13], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [197.05, 186.01, 398.12, 301.0], \"box_3d\": [1.57, 1.6, 4.24, -5.08, 1.82, 12.3], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [337.15, 176.21, 452.69, 252.15], \"box_3d\": [1.65, 1.61, 3.73, -5.17, 1.75, 17.71], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 76, + "data_source": "Mono3DRefer", + "scene_name": "000143", + "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\": 2.7, \"box_2d\": [940.46, 180.55, 1003.22, 202.15], \"box_3d\": [1.42, 1.58, 3.48, 24.71, 1.96, 49.38], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": 2.21, \"box_2d\": [4.58, 199.18, 128.63, 248.05], \"box_3d\": [1.49, 1.81, 3.36, -18.95, 2.47, 25.29], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.98, \"box_2d\": [120.97, 201.18, 178.0, 228.44], \"box_3d\": [1.41, 1.64, 3.22, -26.81, 3.12, 42.07], \"ry\": 1.42}]\n```" + } + ] + }, + { + "id": 77, + "data_source": "Mono3DRefer", + "scene_name": "000144", + "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\": 2.18, \"box_2d\": [0.0, 202.35, 277.49, 374.0], \"box_3d\": [1.5, 1.46, 3.7, -5.07, 1.86, 7.38], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -2.17, \"box_2d\": [919.98, 162.0, 1241.0, 374.0], \"box_3d\": [1.61, 1.62, 3.78, 2.96, 1.58, 3.44], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [472.82, 172.55, 524.05, 220.8], \"box_3d\": [1.86, 1.57, 3.83, -4.6, 1.88, 29.98], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 78, + "data_source": "Mono3DRefer", + "scene_name": "000145", + "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\": -2.16, \"box_2d\": [960.87, 180.9, 1069.16, 229.09], \"box_3d\": [1.48, 1.56, 3.33, 13.75, 1.51, 23.96], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -2.24, \"box_2d\": [1034.19, 183.18, 1155.16, 229.33], \"box_3d\": [1.4, 1.59, 3.35, 16.37, 1.51, 23.86], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": 0.89, \"box_2d\": [1097.59, 183.53, 1223.0, 230.26], \"box_3d\": [1.44, 1.5, 3.8, 19.16, 1.57, 24.48], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [601.61, 171.69, 637.7, 199.9], \"box_3d\": [1.39, 1.64, 4.51, 0.72, 0.95, 37.7], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 79, + "data_source": "Mono3DRefer", + "scene_name": "000148", + "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\": [782.12, 174.04, 860.47, 203.67], \"box_3d\": [1.62, 1.72, 4.35, 12.19, 1.72, 41.96], \"ry\": -2.11}]\n```" + } + ] + }, + { + "id": 80, + "data_source": "Mono3DRefer", + "scene_name": "000150", + "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\": [565.58, 175.41, 616.95, 225.13], \"box_3d\": [1.61, 1.66, 3.2, -0.66, 1.72, 25.21], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [453.46, 183.22, 494.9, 211.37], \"box_3d\": [1.4, 1.51, 3.7, -7.22, 1.97, 38.47], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [531.96, 177.58, 560.16, 199.7], \"box_3d\": [1.46, 1.66, 4.05, -4.43, 1.81, 50.24], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 81, + "data_source": "Mono3DRefer", + "scene_name": "000151", + "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\": -0.86, \"box_2d\": [0.0, 200.41, 303.17, 369.0], \"box_3d\": [1.5, 1.78, 3.69, -3.17, 1.67, 3.35], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.39, \"box_2d\": [845.82, 161.32, 1004.89, 210.46], \"box_3d\": [1.45, 1.75, 4.23, 10.03, 0.89, 22.42], \"ry\": 0.03}]\n```" + } + ] + }, + { + "id": 82, + "data_source": "Mono3DRefer", + "scene_name": "000153", + "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\": [669.6, 159.28, 704.34, 194.51], \"box_3d\": [1.91, 1.65, 4.4, 4.69, 0.75, 40.87], \"ry\": -1.53}]\n```" + } + ] + }, + { + "id": 83, + "data_source": "Mono3DRefer", + "scene_name": "000157", + "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\": [1201.15, 177.29, 1241.0, 360.68], \"box_3d\": [1.48, 1.71, 4.65, 7.34, 1.5, 6.51], \"ry\": -0.55}, {\"category\": \"Car\", \"angle\": -1.04, \"box_2d\": [891.44, 125.59, 1231.34, 319.09], \"box_3d\": [2.04, 1.66, 4.62, 5.94, 1.54, 9.42], \"ry\": -0.49}, {\"category\": \"Car\", \"angle\": -0.75, \"box_2d\": [656.98, 173.08, 892.62, 262.76], \"box_3d\": [1.53, 1.61, 4.73, 3.32, 1.56, 14.36], \"ry\": -0.53}, {\"category\": \"Car\", \"angle\": -0.6, \"box_2d\": [581.09, 183.36, 728.9, 244.92], \"box_3d\": [1.4, 1.56, 3.48, 1.13, 1.69, 18.4], \"ry\": -0.54}, {\"category\": \"Car\", \"angle\": -1.82, \"box_2d\": [319.23, 192.29, 406.17, 238.46], \"box_3d\": [1.27, 1.66, 4.06, -8.01, 1.93, 23.03], \"ry\": -2.15}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [219.4, 194.58, 279.65, 242.44], \"box_3d\": [1.48, 1.67, 4.5, -13.1, 2.31, 26.02], \"ry\": -2.09}]\n```" + } + ] + }, + { + "id": 84, + "data_source": "Mono3DRefer", + "scene_name": "000160", + "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\": [493.84, 183.02, 549.17, 226.05], \"box_3d\": [1.48, 1.62, 3.21, -3.27, 1.87, 26.83], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [558.47, 180.63, 580.7, 200.5], \"box_3d\": [1.55, 1.51, 3.75, -3.27, 2.19, 58.69], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [343.69, 179.05, 379.71, 203.45], \"box_3d\": [1.92, 1.58, 3.93, -20.4, 2.45, 59.38], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [591.6, 179.67, 633.03, 220.94], \"box_3d\": [1.62, 1.63, 4.5, 0.05, 1.93, 30.9], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 85, + "data_source": "Mono3DRefer", + "scene_name": "000162", + "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\": -0.93, \"box_2d\": [3.64, 173.55, 121.62, 220.64], \"box_3d\": [1.69, 1.74, 3.76, -21.18, 1.74, 28.06], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.03, \"box_2d\": [135.24, 175.95, 207.63, 209.55], \"box_3d\": [1.55, 1.39, 3.55, -21.47, 1.72, 35.41], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.76, \"box_2d\": [159.36, 166.92, 223.25, 195.21], \"box_3d\": [1.72, 1.76, 3.14, -26.5, 1.38, 45.71], \"ry\": -1.28}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [573.87, 171.69, 633.19, 230.82], \"box_3d\": [1.62, 1.63, 4.5, -0.26, 1.62, 22.26], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 86, + "data_source": "Mono3DRefer", + "scene_name": "000163", + "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\": -2.77, \"box_2d\": [258.45, 164.94, 438.13, 248.04], \"box_3d\": [1.86, 1.69, 3.69, -6.23, 1.71, 17.33], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": -2.85, \"box_2d\": [321.99, 171.43, 472.77, 230.26], \"box_3d\": [1.68, 1.69, 4.07, -6.42, 1.67, 21.94], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [804.72, 152.49, 871.5, 197.29], \"box_3d\": [2.04, 1.99, 4.82, 11.1, 1.14, 35.55], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.91, \"box_2d\": [857.19, 161.47, 917.02, 193.08], \"box_3d\": [1.49, 1.56, 3.88, 13.84, 0.98, 36.31], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -2.91, \"box_2d\": [374.76, 175.04, 495.42, 216.99], \"box_3d\": [1.48, 1.56, 4.12, 0.23, 1.59, 26.95], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -2.95, \"box_2d\": [398.89, 175.33, 492.56, 214.08], \"box_3d\": [1.51, 1.59, 3.5, 0.0, 1.64, 29.62], \"ry\": 3.11}, {\"category\": \"Car\", \"angle\": -2.93, \"box_2d\": [404.63, 167.36, 515.88, 208.73], \"box_3d\": [1.74, 1.75, 4.57, -6.63, 1.54, 32.08], \"ry\": -3.13}]\n```" + } + ] + }, + { + "id": 87, + "data_source": "Mono3DRefer", + "scene_name": "000165", + "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\": [356.62, 163.82, 486.03, 243.24], \"box_3d\": [1.83, 1.64, 3.71, -4.97, 1.65, 18.58], \"ry\": -2.32}, {\"category\": \"Car\", \"angle\": -2.27, \"box_2d\": [412.04, 177.09, 511.76, 221.61], \"box_3d\": [1.5, 1.58, 3.57, -5.42, 1.67, 26.07], \"ry\": -2.48}, {\"category\": \"Car\", \"angle\": -2.27, \"box_2d\": [443.08, 167.94, 536.35, 215.62], \"box_3d\": [1.8, 1.63, 3.79, -4.91, 1.64, 29.02], \"ry\": -2.43}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [583.11, 173.29, 617.63, 204.61], \"box_3d\": [1.52, 1.67, 3.61, -0.48, 1.57, 37.12], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [581.95, 178.78, 636.65, 223.24], \"box_3d\": [1.36, 1.69, 3.38, -0.06, 1.58, 24.12], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.14, \"box_2d\": [287.29, 164.14, 471.26, 259.37], \"box_3d\": [1.76, 1.74, 4.16, -5.02, 1.63, 15.29], \"ry\": -2.45}]\n```" + } + ] + }, + { + "id": 88, + "data_source": "Mono3DRefer", + "scene_name": "000166", + "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, 175.12, 44.6, 219.59], \"box_3d\": [1.47, 1.82, 3.03, -21.13, 1.56, 24.21], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.17, \"box_2d\": [296.49, 172.8, 339.4, 192.06], \"box_3d\": [1.42, 1.68, 3.93, -22.58, 1.45, 55.87], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.1, \"box_2d\": [222.16, 157.13, 275.57, 189.98], \"box_3d\": [2.48, 1.81, 4.73, -28.61, 1.32, 57.29], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [570.67, 169.82, 616.94, 215.92], \"box_3d\": [1.62, 1.63, 4.5, -0.62, 1.55, 27.9], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 89, + "data_source": "Mono3DRefer", + "scene_name": "000168", + "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\": [553.89, 184.63, 598.47, 220.55], \"box_3d\": [1.26, 1.6, 3.56, -1.39, 1.73, 27.81], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.49, \"box_2d\": [502.27, 183.99, 537.52, 210.78], \"box_3d\": [1.37, 1.63, 3.57, -4.95, 2.0, 39.72], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 2.52, \"box_2d\": [837.66, 190.04, 921.14, 223.55], \"box_3d\": [1.38, 1.35, 3.3, 11.95, 2.18, 32.11], \"ry\": 2.87}, {\"category\": \"Car\", \"angle\": 2.24, \"box_2d\": [955.63, 189.82, 1046.94, 226.08], \"box_3d\": [1.59, 1.73, 4.02, 18.79, 2.44, 34.7], \"ry\": 2.73}]\n```" + } + ] + }, + { + "id": 90, + "data_source": "Mono3DRefer", + "scene_name": "000172", + "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\": [582.19, 170.67, 618.01, 204.75], \"box_3d\": [1.54, 1.63, 3.67, -0.5, 1.47, 34.89], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [596.79, 165.06, 626.58, 196.12], \"box_3d\": [1.77, 1.69, 4.32, 0.1, 1.35, 43.65], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -2.09, \"box_2d\": [822.23, 180.98, 1241.0, 374.0], \"box_3d\": [1.49, 1.55, 3.93, 2.78, 1.56, 4.83], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [727.09, 171.5, 890.13, 304.24], \"box_3d\": [1.54, 1.48, 3.17, 2.53, 1.55, 10.02], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [708.59, 168.99, 814.5, 253.27], \"box_3d\": [1.54, 1.55, 3.51, 2.99, 1.5, 15.07], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [658.22, 164.22, 711.5, 212.42], \"box_3d\": [1.74, 1.62, 4.13, 2.84, 1.46, 28.4], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 2.12, \"box_2d\": [0.0, 189.21, 251.43, 303.15], \"box_3d\": [1.51, 1.58, 4.16, -7.85, 1.82, 12.07], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [257.04, 181.46, 376.13, 243.67], \"box_3d\": [1.51, 1.65, 3.94, -7.91, 1.76, 19.75], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [637.51, 167.98, 661.53, 190.65], \"box_3d\": [1.6, 1.56, 3.45, 2.86, 1.28, 53.1], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 91, + "data_source": "Mono3DRefer", + "scene_name": "000176", + "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\": [500.99, 164.61, 585.54, 243.1], \"box_3d\": [1.91, 1.66, 4.22, -1.75, 1.73, 19.75], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [553.91, 169.52, 615.84, 225.81], \"box_3d\": [1.83, 1.69, 4.28, -0.84, 1.75, 25.71], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [624.61, 179.02, 669.6, 207.09], \"box_3d\": [1.51, 1.63, 4.03, 2.14, 1.87, 41.12], \"ry\": 1.86}, {\"category\": \"Car\", \"angle\": -2.15, \"box_2d\": [844.52, 209.22, 1241.0, 374.0], \"box_3d\": [1.48, 1.6, 3.79, 2.5, 1.74, 3.48], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [425.86, 182.0, 542.59, 273.89], \"box_3d\": [1.56, 1.55, 3.64, -2.38, 1.75, 14.22], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 92, + "data_source": "Mono3DRefer", + "scene_name": "000177", + "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\": -2.67, \"box_2d\": [347.96, 180.67, 438.56, 211.43], \"box_3d\": [1.44, 1.62, 3.91, -10.57, 1.84, 35.17], \"ry\": -2.96}]\n```" + } + ] + }, + { + "id": 93, + "data_source": "Mono3DRefer", + "scene_name": "000179", + "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\": [591.44, 175.51, 657.28, 239.12], \"box_3d\": [1.61, 1.66, 3.2, 0.38, 1.7, 20.03], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 94, + "data_source": "Mono3DRefer", + "scene_name": "000180", + "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\": [541.04, 181.47, 566.39, 197.81], \"box_3d\": [1.37, 1.79, 4.16, -4.94, 2.14, 63.6], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 0.19, \"box_2d\": [439.69, 183.58, 507.67, 206.66], \"box_3d\": [1.56, 1.71, 4.5, -9.7, 2.35, 51.41], \"ry\": 0.01}]\n```" + } + ] + }, + { + "id": 95, + "data_source": "Mono3DRefer", + "scene_name": "000183", + "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\": -2.18, \"box_2d\": [884.54, 170.7, 1241.0, 374.0], \"box_3d\": [1.46, 1.67, 4.4, 2.8, 1.46, 3.31], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -2.62, \"box_2d\": [51.28, 170.11, 365.03, 305.68], \"box_3d\": [1.8, 1.62, 3.7, -5.76, 1.79, 10.54], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [682.05, 167.43, 741.3, 220.29], \"box_3d\": [1.77, 1.63, 4.1, 3.61, 1.62, 26.48], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [662.5, 169.09, 696.78, 200.09], \"box_3d\": [1.69, 1.64, 4.21, 3.97, 1.52, 41.94], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [551.51, 176.39, 580.12, 200.97], \"box_3d\": [1.55, 1.64, 3.7, -2.92, 1.8, 47.83], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.45, \"box_2d\": [589.23, 172.87, 618.3, 193.97], \"box_3d\": [1.63, 1.81, 4.54, -0.48, 1.66, 58.69], \"ry\": -1.46}]\n```" + } + ] + }, + { + "id": 96, + "data_source": "Mono3DRefer", + "scene_name": "000184", + "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\": -1.4, \"box_2d\": [611.04, 177.87, 643.08, 201.09], \"box_3d\": [1.54, 1.63, 3.67, 1.2, 1.91, 50.21], \"ry\": -1.38}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [443.04, 184.18, 500.28, 217.8], \"box_3d\": [1.56, 1.59, 3.69, -6.87, 2.14, 35.99], \"ry\": 1.74}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [474.35, 176.63, 523.09, 212.88], \"box_3d\": [1.93, 1.59, 4.01, -6.24, 2.16, 40.7], \"ry\": 1.72}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [659.04, 175.49, 688.54, 202.59], \"box_3d\": [1.58, 1.67, 3.84, 3.87, 1.77, 44.49], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": 2.74, \"box_2d\": [962.47, 162.51, 1053.22, 192.8], \"box_3d\": [1.39, 1.51, 3.49, 19.05, 0.93, 34.71], \"ry\": -3.04}]\n```" + } + ] + }, + { + "id": 97, + "data_source": "Mono3DRefer", + "scene_name": "000185", + "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\": 2.28, \"box_2d\": [0.0, 206.52, 264.52, 374.0], \"box_3d\": [1.56, 1.55, 3.64, -3.09, 1.77, 3.03], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [181.07, 157.35, 454.31, 374.0], \"box_3d\": [1.91, 1.66, 4.22, -3.06, 1.8, 8.43], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [400.82, 173.04, 526.56, 281.06], \"box_3d\": [1.83, 1.69, 4.28, -2.79, 1.86, 14.46], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [544.45, 185.49, 606.56, 225.44], \"box_3d\": [1.51, 1.63, 4.03, -1.39, 2.06, 30.09], \"ry\": 1.77}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [586.23, 184.08, 635.02, 217.72], \"box_3d\": [1.57, 1.44, 3.6, 0.05, 2.16, 36.27], \"ry\": 1.87}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [630.37, 185.26, 673.44, 212.54], \"box_3d\": [1.47, 1.51, 3.5, 2.43, 2.2, 41.59], \"ry\": 1.92}]\n```" + } + ] + }, + { + "id": 98, + "data_source": "Mono3DRefer", + "scene_name": "000191", + "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\": [577.55, 178.14, 614.2, 211.56], \"box_3d\": [1.6, 1.76, 3.84, -0.64, 1.25, 36.71], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -0.71, \"box_2d\": [0.0, 206.71, 198.09, 375.0], \"box_3d\": [1.48, 1.64, 3.81, -3.52, 1.64, 2.74], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.19, \"box_2d\": [233.74, 188.79, 362.78, 253.97], \"box_3d\": [1.39, 1.62, 3.73, -7.57, 1.51, 17.87], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.35, \"box_2d\": [373.86, 190.62, 501.68, 272.04], \"box_3d\": [1.37, 1.61, 4.21, -3.37, 1.52, 14.87], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.29, \"box_2d\": [358.25, 184.88, 432.5, 227.53], \"box_3d\": [1.45, 1.64, 3.86, -7.92, 1.46, 27.05], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [462.02, 184.85, 518.69, 221.0], \"box_3d\": [1.38, 1.71, 4.49, -4.93, 1.39, 30.53], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -0.89, \"box_2d\": [0.0, 188.07, 124.51, 269.52], \"box_3d\": [1.49, 1.59, 4.32, -12.27, 1.58, 14.83], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.12, \"box_2d\": [206.69, 187.95, 303.2, 230.07], \"box_3d\": [1.33, 1.55, 3.83, -12.48, 1.46, 25.63], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.21, \"box_2d\": [289.34, 179.48, 361.92, 217.7], \"box_3d\": [1.63, 1.71, 4.13, -12.87, 1.38, 32.99], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 99, + "data_source": "Mono3DRefer", + "scene_name": "000192", + "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\": [573.15, 179.59, 605.63, 209.19], \"box_3d\": [1.6, 1.76, 3.84, -1.07, 1.29, 41.19], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -0.93, \"box_2d\": [0.0, 188.97, 175.41, 325.79], \"box_3d\": [1.54, 1.65, 3.82, -7.94, 1.62, 9.88], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.1, \"box_2d\": [140.95, 187.68, 315.55, 268.37], \"box_3d\": [1.49, 1.67, 4.05, -8.15, 1.58, 15.82], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [450.93, 185.93, 512.69, 229.68], \"box_3d\": [1.41, 1.58, 3.99, -4.5, 1.46, 25.97], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [487.99, 184.1, 528.93, 213.69], \"box_3d\": [1.42, 1.61, 3.56, -5.09, 1.38, 37.03], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 100, + "data_source": "Mono3DRefer", + "scene_name": "000200", + "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\": [602.62, 178.85, 663.95, 238.07], \"box_3d\": [1.61, 1.66, 3.2, 0.64, 1.8, 21.4], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.9, \"box_2d\": [797.21, 186.52, 1018.27, 325.26], \"box_3d\": [1.43, 1.5, 3.38, 3.55, 1.63, 9.34], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 101, + "data_source": "Mono3DRefer", + "scene_name": "000202", + "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\": [535.01, 180.59, 567.79, 204.85], \"box_3d\": [1.44, 1.72, 4.14, -3.68, 1.94, 45.59], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 102, + "data_source": "Mono3DRefer", + "scene_name": "000210", + "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\": 2.22, \"box_2d\": [0.0, 180.29, 155.87, 315.87], \"box_3d\": [1.8, 1.61, 3.83, -9.0, 1.93, 11.07], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.17, \"box_2d\": [124.67, 193.46, 286.04, 269.56], \"box_3d\": [1.45, 1.45, 3.4, -8.89, 1.94, 16.08], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": 1.98, \"box_2d\": [238.92, 179.34, 363.82, 247.43], \"box_3d\": [1.75, 1.71, 4.31, -8.8, 1.95, 20.9], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [376.25, 182.35, 444.03, 221.53], \"box_3d\": [1.53, 1.66, 4.01, -8.43, 1.94, 30.62], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [419.21, 181.52, 472.75, 213.59], \"box_3d\": [1.48, 1.6, 3.9, -8.11, 1.93, 35.82], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [498.77, 177.11, 530.95, 199.1], \"box_3d\": [1.61, 1.67, 4.56, -7.3, 1.96, 55.63], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 103, + "data_source": "Mono3DRefer", + "scene_name": "000214", + "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\": 0.32, \"box_2d\": [277.11, 180.84, 412.58, 232.04], \"box_3d\": [1.52, 1.64, 3.7, -8.37, 1.8, 22.9], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -2.76, \"box_2d\": [334.05, 182.0, 443.19, 222.67], \"box_3d\": [1.5, 1.62, 3.69, -8.56, 1.87, 27.94], \"ry\": -3.05}, {\"category\": \"Car\", \"angle\": 1.49, \"box_2d\": [872.38, 162.78, 902.54, 184.24], \"box_3d\": [1.51, 1.7, 4.45, 20.53, 0.82, 53.55], \"ry\": 1.85}]\n```" + } + ] + }, + { + "id": 104, + "data_source": "Mono3DRefer", + "scene_name": "000215", + "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\": 0.09, \"box_2d\": [215.24, 190.26, 586.08, 316.48], \"box_3d\": [1.45, 1.68, 4.53, -2.75, 1.73, 9.96], \"ry\": -0.17}, {\"category\": \"Car\", \"angle\": -0.77, \"box_2d\": [943.77, 188.46, 1241.0, 314.86], \"box_3d\": [1.35, 1.35, 3.38, 6.08, 1.57, 9.01], \"ry\": -0.19}]\n```" + } + ] + }, + { + "id": 105, + "data_source": "Mono3DRefer", + "scene_name": "000217", + "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\": [316.11, 191.89, 461.97, 282.37], \"box_3d\": [1.37, 1.64, 4.4, -4.07, 1.78, 13.88], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [475.46, 183.89, 525.42, 222.67], \"box_3d\": [1.4, 1.45, 3.3, -4.27, 1.85, 28.24], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [562.18, 178.55, 594.26, 206.23], \"box_3d\": [1.4, 1.63, 3.89, -1.73, 1.72, 38.85], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [537.61, 179.82, 561.21, 200.59], \"box_3d\": [1.38, 1.33, 4.32, -4.24, 1.88, 50.62], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 106, + "data_source": "Mono3DRefer", + "scene_name": "000219", + "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\": [566.3, 176.56, 616.74, 225.38], \"box_3d\": [1.61, 1.66, 3.2, -0.68, 1.76, 25.65], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 107, + "data_source": "Mono3DRefer", + "scene_name": "000221", + "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\": [776.78, 185.07, 955.98, 301.67], \"box_3d\": [1.43, 1.5, 3.38, 3.57, 1.63, 10.76], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [603.24, 178.88, 664.34, 237.88], \"box_3d\": [1.61, 1.66, 3.2, 0.66, 1.8, 21.47], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 108, + "data_source": "Mono3DRefer", + "scene_name": "000222", + "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\": [425.71, 181.46, 464.15, 201.44], \"box_3d\": [1.4, 1.75, 4.75, -12.3, 2.06, 53.93], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [518.65, 165.8, 740.84, 374.0], \"box_3d\": [1.55, 1.63, 3.32, 0.1, 1.52, 7.01], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.7, \"box_2d\": [344.82, 184.22, 457.2, 218.38], \"box_3d\": [1.46, 1.85, 4.52, -9.45, 2.01, 32.65], \"ry\": -2.98}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [376.56, 185.33, 418.02, 205.3], \"box_3d\": [1.37, 1.82, 3.96, -15.64, 2.31, 53.18], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -2.39, \"box_2d\": [175.97, 194.37, 259.89, 227.15], \"box_3d\": [1.52, 1.8, 3.3, -19.35, 2.61, 35.59], \"ry\": -2.88}, {\"category\": \"Car\", \"angle\": -2.76, \"box_2d\": [426.64, 178.59, 498.57, 210.48], \"box_3d\": [1.6, 1.6, 3.29, -7.67, 1.92, 37.52], \"ry\": -2.96}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [334.95, 187.99, 374.32, 208.15], \"box_3d\": [1.38, 1.79, 2.94, -18.59, 2.51, 52.56], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 109, + "data_source": "Mono3DRefer", + "scene_name": "000225", + "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\": 2.22, \"box_2d\": [1.07, 175.43, 121.82, 230.51], \"box_3d\": [1.92, 1.58, 3.93, -20.7, 2.04, 27.39], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [584.46, 176.63, 622.38, 214.4], \"box_3d\": [1.62, 1.63, 4.5, -0.32, 1.82, 33.56], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 110, + "data_source": "Mono3DRefer", + "scene_name": "000227", + "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\": [783.58, 179.57, 909.44, 248.34], \"box_3d\": [1.48, 1.51, 4.35, 5.94, 1.66, 17.92], \"ry\": 2.25}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [1081.89, 174.98, 1130.16, 204.12], \"box_3d\": [1.46, 1.74, 3.99, 26.31, 1.58, 38.25], \"ry\": 2.26}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [864.51, 181.18, 964.28, 233.34], \"box_3d\": [1.42, 1.68, 4.29, 9.43, 1.7, 22.26], \"ry\": 2.25}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [945.94, 179.75, 1009.13, 217.58], \"box_3d\": [1.36, 1.4, 3.8, 14.4, 1.65, 28.24], \"ry\": 2.26}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [1019.96, 177.36, 1060.88, 205.58], \"box_3d\": [1.44, 1.65, 2.96, 23.12, 1.7, 38.77], \"ry\": 2.18}]\n```" + } + ] + }, + { + "id": 111, + "data_source": "Mono3DRefer", + "scene_name": "000228", + "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\": -0.57, \"box_2d\": [219.58, 178.89, 342.65, 219.2], \"box_3d\": [1.35, 1.6, 3.86, -12.04, 1.59, 26.54], \"ry\": -1.0}, {\"category\": \"Car\", \"angle\": -0.8, \"box_2d\": [444.17, 173.3, 522.3, 205.63], \"box_3d\": [1.49, 1.53, 3.8, -6.17, 1.53, 35.28], \"ry\": -0.97}, {\"category\": \"Car\", \"angle\": -1.01, \"box_2d\": [581.13, 173.89, 633.85, 198.94], \"box_3d\": [1.49, 1.56, 3.65, -0.14, 1.57, 44.92], \"ry\": -1.01}]\n```" + } + ] + }, + { + "id": 112, + "data_source": "Mono3DRefer", + "scene_name": "000230", + "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\": [396.86, 183.78, 438.89, 206.49], \"box_3d\": [1.55, 1.88, 4.59, -14.0, 2.37, 52.75], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 113, + "data_source": "Mono3DRefer", + "scene_name": "000236", + "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\": [580.36, 176.15, 621.91, 214.02], \"box_3d\": [1.6, 1.76, 3.84, -0.32, 1.21, 32.61], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.06, \"box_2d\": [76.17, 175.86, 288.33, 278.43], \"box_3d\": [1.65, 1.66, 3.96, -7.81, 1.49, 13.61], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.29, \"box_2d\": [323.02, 185.25, 476.65, 282.71], \"box_3d\": [1.48, 1.64, 3.81, -3.62, 1.5, 13.08], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.22, \"box_2d\": [282.95, 183.87, 393.3, 241.13], \"box_3d\": [1.44, 1.71, 3.78, -7.56, 1.42, 20.45], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [480.25, 183.11, 543.62, 226.2], \"box_3d\": [1.37, 1.61, 4.21, -3.34, 1.31, 25.49], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.38, \"box_2d\": [445.32, 180.31, 489.64, 208.47], \"box_3d\": [1.45, 1.64, 3.86, -7.64, 1.19, 39.34], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.91, \"box_2d\": [0.0, 185.85, 139.14, 265.32], \"box_3d\": [1.46, 1.51, 3.83, -12.08, 1.49, 15.38], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.11, \"box_2d\": [183.62, 181.18, 299.1, 234.05], \"box_3d\": [1.51, 1.54, 4.17, -11.52, 1.39, 22.85], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 114, + "data_source": "Mono3DRefer", + "scene_name": "000237", + "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\": -2.91, \"box_2d\": [855.98, 178.03, 953.05, 214.01], \"box_3d\": [1.42, 1.58, 3.48, 12.26, 1.66, 30.18], \"ry\": -2.53}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [175.09, 192.03, 258.16, 222.09], \"box_3d\": [1.41, 1.85, 4.7, -20.93, 2.49, 38.57], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 115, + "data_source": "Mono3DRefer", + "scene_name": "000238", + "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\": -0.83, \"box_2d\": [0.0, 170.01, 58.09, 216.72], \"box_3d\": [1.52, 1.5, 3.51, -20.63, 1.44, 24.12], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [306.59, 174.28, 347.24, 194.2], \"box_3d\": [1.47, 1.82, 3.03, -21.75, 1.6, 55.48], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [574.32, 173.66, 615.03, 214.23], \"box_3d\": [1.62, 1.63, 4.5, -0.68, 1.69, 31.41], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 116, + "data_source": "Mono3DRefer", + "scene_name": "000240", + "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\": [567.32, 177.55, 609.97, 215.63], \"box_3d\": [1.41, 1.59, 4.47, -0.88, 1.62, 29.36], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 117, + "data_source": "Mono3DRefer", + "scene_name": "000242", + "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\": [635.14, 163.71, 725.68, 229.58], \"box_3d\": [1.79, 1.72, 4.35, 1.98, 1.57, 21.99], \"ry\": 1.42}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [389.43, 184.88, 455.66, 237.97], \"box_3d\": [1.45, 1.49, 4.07, -5.73, 1.84, 22.28], \"ry\": 1.44}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [432.71, 187.21, 478.54, 220.32], \"box_3d\": [1.27, 1.54, 3.58, -6.51, 1.9, 30.54], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 118, + "data_source": "Mono3DRefer", + "scene_name": "000243", + "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\": [598.73, 177.45, 678.68, 248.0], \"box_3d\": [1.37, 1.56, 3.54, 0.54, 1.49, 15.96], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [498.91, 169.77, 576.76, 230.99], \"box_3d\": [1.61, 1.69, 4.26, -2.06, 1.56, 21.28], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [620.2, 169.23, 672.92, 218.51], \"box_3d\": [1.53, 1.63, 4.5, 1.25, 1.45, 24.87], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.02, \"box_2d\": [1190.53, 133.24, 1241.0, 204.3], \"box_3d\": [1.48, 1.6, 3.84, 14.87, 0.64, 15.68], \"ry\": -0.27}, {\"category\": \"Car\", \"angle\": -0.9, \"box_2d\": [1070.7, 135.74, 1238.26, 198.38], \"box_3d\": [1.55, 1.61, 3.64, 14.31, 0.63, 19.06], \"ry\": -0.26}]\n```" + } + ] + }, + { + "id": 119, + "data_source": "Mono3DRefer", + "scene_name": "000244", + "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\": [513.85, 182.74, 563.17, 223.35], \"box_3d\": [1.56, 1.55, 3.64, -2.94, 1.98, 29.97], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [539.66, 172.6, 581.58, 214.11], \"box_3d\": [1.91, 1.66, 4.22, -2.4, 1.92, 35.51], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [561.47, 175.94, 598.84, 209.67], \"box_3d\": [1.83, 1.69, 4.28, -1.69, 2.02, 41.52], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [0.0, 183.99, 421.32, 374.0], \"box_3d\": [1.63, 1.6, 3.73, -2.51, 1.71, 4.36], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -2.38, \"box_2d\": [948.87, 191.74, 1241.0, 374.0], \"box_3d\": [1.59, 1.49, 3.34, 2.63, 1.69, 2.33], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [730.11, 191.65, 1000.19, 374.0], \"box_3d\": [1.54, 1.6, 3.52, 2.35, 1.77, 7.71], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.35, \"box_2d\": [307.67, 188.31, 487.75, 335.88], \"box_3d\": [1.54, 1.5, 3.48, -2.64, 1.77, 9.56], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [410.78, 188.92, 522.89, 272.41], \"box_3d\": [1.44, 1.63, 3.32, -2.82, 1.8, 14.63], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.82, \"box_2d\": [685.04, 181.86, 806.7, 271.17], \"box_3d\": [1.55, 1.55, 3.27, 2.53, 1.74, 14.37], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [656.44, 183.23, 735.82, 245.57], \"box_3d\": [1.48, 1.6, 3.79, 2.18, 1.78, 19.43], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 120, + "data_source": "Mono3DRefer", + "scene_name": "000245", + "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\": 2.49, \"box_2d\": [871.24, 138.44, 1241.0, 369.5], \"box_3d\": [1.85, 1.68, 4.34, 4.89, 1.58, 6.76], \"ry\": 3.1}, {\"category\": \"Car\", \"angle\": -2.51, \"box_2d\": [0.0, 199.5, 230.56, 336.43], \"box_3d\": [1.43, 1.56, 3.85, -6.94, 1.8, 8.64], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -2.81, \"box_2d\": [174.45, 190.89, 368.89, 263.55], \"box_3d\": [1.42, 1.62, 3.5, -7.3, 1.85, 15.76], \"ry\": 3.04}, {\"category\": \"Car\", \"angle\": -2.94, \"box_2d\": [363.25, 182.66, 466.82, 221.54], \"box_3d\": [1.41, 1.54, 3.6, -7.48, 1.81, 27.77], \"ry\": 3.08}]\n```" + } + ] + }, + { + "id": 121, + "data_source": "Mono3DRefer", + "scene_name": "000247", + "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\": [275.5, 189.86, 310.27, 218.5], \"box_3d\": [1.45, 1.62, 3.83, -17.57, 2.42, 40.02], \"ry\": 1.19}]\n```" + } + ] + }, + { + "id": 122, + "data_source": "Mono3DRefer", + "scene_name": "000248", + "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\": [577.33, 178.49, 611.19, 209.37], \"box_3d\": [1.6, 1.76, 3.84, -0.76, 1.25, 39.58], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.01, \"box_2d\": [0.0, 182.47, 245.23, 293.47], \"box_3d\": [1.64, 1.71, 4.12, -8.41, 1.61, 12.86], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.25, \"box_2d\": [264.17, 190.75, 441.26, 295.28], \"box_3d\": [1.41, 1.58, 3.99, -4.13, 1.54, 12.21], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.22, \"box_2d\": [264.99, 191.54, 369.63, 239.95], \"box_3d\": [1.22, 1.65, 3.65, -8.42, 1.45, 21.09], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.38, \"box_2d\": [430.72, 185.6, 502.46, 234.14], \"box_3d\": [1.42, 1.61, 3.56, -4.54, 1.45, 23.37], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.33, \"box_2d\": [381.56, 180.8, 439.65, 220.0], \"box_3d\": [1.61, 1.61, 3.68, -8.66, 1.43, 31.76], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [473.84, 183.14, 521.92, 216.46], \"box_3d\": [1.43, 1.64, 3.99, -5.08, 1.35, 33.47], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [506.71, 185.28, 540.44, 209.67], \"box_3d\": [1.35, 1.57, 3.72, -4.97, 1.37, 42.68], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 123, + "data_source": "Mono3DRefer", + "scene_name": "000249", + "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\": -1.58, \"box_2d\": [559.9, 176.25, 603.74, 216.23], \"box_3d\": [1.6, 1.76, 3.84, -1.17, 1.23, 31.02], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.22, \"box_2d\": [102.42, 183.7, 425.73, 375.0], \"box_3d\": [1.58, 1.68, 3.95, -3.27, 1.58, 7.68], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -0.82, \"box_2d\": [0.0, 197.12, 93.16, 325.8], \"box_3d\": [1.42, 1.53, 4.2, -7.7, 1.61, 7.57], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.34, \"box_2d\": [357.57, 188.5, 467.94, 263.83], \"box_3d\": [1.39, 1.5, 3.4, -4.11, 1.49, 15.47], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.17, \"box_2d\": [188.31, 186.03, 331.32, 254.48], \"box_3d\": [1.43, 1.62, 4.08, -8.35, 1.48, 17.59], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.06, \"box_2d\": [96.72, 186.51, 228.83, 240.31], \"box_3d\": [1.39, 1.5, 4.04, -13.01, 1.45, 21.26], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 124, + "data_source": "Mono3DRefer", + "scene_name": "000250", + "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\": [26.43, 196.96, 252.9, 345.96], \"box_3d\": [1.44, 1.58, 3.72, -5.9, 1.8, 9.45], \"ry\": 1.25}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [341.7, 192.77, 383.53, 224.69], \"box_3d\": [1.39, 1.52, 3.56, -11.99, 2.4, 35.04], \"ry\": 1.36}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [231.91, 194.75, 338.29, 272.86], \"box_3d\": [1.46, 1.59, 3.35, -7.14, 1.99, 16.05], \"ry\": 1.32}]\n```" + } + ] + }, + { + "id": 125, + "data_source": "Mono3DRefer", + "scene_name": "000252", + "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\": 1.91, \"box_2d\": [239.65, 196.51, 447.05, 327.01], \"box_3d\": [1.39, 1.52, 3.56, -3.49, 1.77, 10.0], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [515.45, 183.55, 549.41, 209.28], \"box_3d\": [1.34, 1.64, 4.57, -4.38, 1.97, 41.01], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 2.98, \"box_2d\": [386.51, 182.63, 485.96, 218.8], \"box_3d\": [1.52, 1.41, 4.22, -7.92, 1.99, 32.8], \"ry\": 2.75}]\n```" + } + ] + }, + { + "id": 126, + "data_source": "Mono3DRefer", + "scene_name": "000253", + "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\": [568.83, 176.31, 624.55, 230.24], \"box_3d\": [1.61, 1.66, 3.2, -0.44, 1.74, 23.37], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [330.49, 188.79, 439.69, 251.21], \"box_3d\": [1.49, 1.67, 4.38, -6.19, 1.97, 20.24], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [639.48, 176.79, 659.27, 194.18], \"box_3d\": [1.43, 1.5, 3.38, 3.33, 1.78, 61.64], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 127, + "data_source": "Mono3DRefer", + "scene_name": "000254", + "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\": 2.06, \"box_2d\": [27.82, 201.43, 299.81, 344.53], \"box_3d\": [1.45, 1.52, 3.62, -5.74, 1.9, 9.75], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [380.94, 190.96, 499.06, 277.0], \"box_3d\": [1.46, 1.62, 4.04, -3.39, 1.87, 14.92], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [226.87, 195.63, 385.02, 287.64], \"box_3d\": [1.46, 1.58, 3.72, -5.76, 1.95, 14.05], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.47, \"box_2d\": [1109.86, 152.35, 1241.0, 254.2], \"box_3d\": [1.73, 1.55, 4.0, 11.57, 1.38, 13.03], \"ry\": -3.1}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [497.8, 182.98, 547.03, 225.38], \"box_3d\": [1.57, 1.6, 3.99, -3.51, 1.99, 29.17], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.62, \"box_2d\": [548.97, 182.69, 568.89, 200.98], \"box_3d\": [1.52, 1.54, 3.68, -4.44, 2.39, 62.89], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -0.12, \"box_2d\": [632.82, 178.59, 724.49, 214.71], \"box_3d\": [1.62, 1.65, 4.14, 3.18, 1.92, 34.2], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": 0.01, \"box_2d\": [612.81, 177.29, 676.27, 203.8], \"box_3d\": [1.69, 1.76, 4.12, 2.27, 2.01, 47.94], \"ry\": 0.05}]\n```" + } + ] + }, + { + "id": 128, + "data_source": "Mono3DRefer", + "scene_name": "000256", + "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, 185.45, 40.8, 241.07], \"box_3d\": [1.46, 1.4, 3.27, -16.91, 1.81, 18.85], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.23, \"box_2d\": [26.81, 171.39, 174.7, 232.27], \"box_3d\": [1.78, 1.6, 4.29, -16.32, 1.76, 23.37], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 2.16, \"box_2d\": [161.03, 181.62, 254.73, 222.65], \"box_3d\": [1.5, 1.47, 3.62, -15.87, 1.86, 28.6], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 129, + "data_source": "Mono3DRefer", + "scene_name": "000257", + "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\": -2.43, \"box_2d\": [792.7, 174.36, 857.54, 201.38], \"box_3d\": [1.48, 1.36, 3.51, 12.29, 1.59, 41.48], \"ry\": -2.15}]\n```" + } + ] + }, + { + "id": 130, + "data_source": "Mono3DRefer", + "scene_name": "000258", + "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\": -1.49, \"box_2d\": [676.96, 183.63, 707.15, 209.05], \"box_3d\": [1.54, 1.63, 3.67, 5.31, 2.26, 46.59], \"ry\": -1.38}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [279.38, 194.03, 415.27, 267.25], \"box_3d\": [1.56, 1.59, 3.69, -6.45, 2.13, 18.04], \"ry\": 1.73}, {\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [375.59, 181.46, 474.75, 249.45], \"box_3d\": [1.93, 1.59, 4.01, -5.74, 2.22, 22.75], \"ry\": 1.72}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [705.24, 181.57, 763.02, 229.01], \"box_3d\": [1.58, 1.67, 3.84, 4.42, 1.91, 26.33], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [710.36, 170.09, 750.08, 221.15], \"box_3d\": [2.05, 1.5, 3.83, 5.2, 1.97, 31.07], \"ry\": -1.36}]\n```" + } + ] + }, + { + "id": 131, + "data_source": "Mono3DRefer", + "scene_name": "000259", + "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\": -1.33, \"box_2d\": [354.16, 178.12, 522.14, 291.51], \"box_3d\": [1.47, 1.59, 4.03, -2.39, 1.43, 11.39], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [486.95, 174.28, 555.67, 226.08], \"box_3d\": [1.41, 1.54, 3.36, -2.33, 1.21, 21.38], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [597.74, 166.79, 642.45, 207.57], \"box_3d\": [1.52, 1.67, 4.38, 0.76, 0.97, 29.34], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [558.16, 164.69, 593.61, 196.84], \"box_3d\": [1.56, 1.59, 3.65, -1.27, 0.74, 37.11], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 132, + "data_source": "Mono3DRefer", + "scene_name": "000262", + "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\": -1.91, \"box_2d\": [756.75, 181.67, 1038.61, 360.21], \"box_3d\": [1.45, 1.49, 3.79, 2.72, 1.56, 7.87], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [692.19, 178.73, 822.16, 271.94], \"box_3d\": [1.5, 1.53, 4.13, 2.59, 1.63, 13.82], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [455.66, 180.62, 533.82, 241.13], \"box_3d\": [1.58, 1.65, 3.91, -3.29, 1.81, 21.0], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [674.1, 178.14, 742.63, 231.97], \"box_3d\": [1.47, 1.57, 4.09, 2.86, 1.64, 21.94], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [651.1, 178.0, 696.17, 215.64], \"box_3d\": [1.45, 1.58, 3.53, 2.55, 1.68, 29.93], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [635.97, 177.32, 669.6, 204.85], \"box_3d\": [1.46, 1.67, 4.4, 2.35, 1.74, 41.01], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 133, + "data_source": "Mono3DRefer", + "scene_name": "000264", + "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\": -2.02, \"box_2d\": [818.02, 184.92, 1241.0, 374.0], \"box_3d\": [1.56, 1.48, 3.36, 2.79, 1.67, 5.53], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [653.87, 179.35, 715.48, 225.48], \"box_3d\": [1.38, 1.55, 3.6, 2.33, 1.6, 23.64], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 2.15, \"box_2d\": [71.39, 185.16, 205.32, 232.0], \"box_3d\": [1.35, 1.66, 4.09, -15.23, 1.77, 23.52], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [584.95, 176.28, 621.09, 209.27], \"box_3d\": [1.52, 1.67, 3.61, -0.38, 1.7, 35.35], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [290.86, 177.87, 347.79, 206.42], \"box_3d\": [1.44, 1.52, 3.66, -15.52, 1.72, 38.61], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [568.86, 181.02, 626.19, 227.73], \"box_3d\": [1.36, 1.69, 3.38, -0.41, 1.64, 23.09], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.28, \"box_2d\": [269.26, 192.99, 478.9, 331.41], \"box_3d\": [1.4, 1.6, 3.35, -2.86, 1.7, 9.34], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.17, \"box_2d\": [133.71, 193.8, 327.83, 299.58], \"box_3d\": [1.37, 1.52, 3.3, -6.04, 1.72, 11.28], \"ry\": 0.69}, {\"category\": \"Car\", \"angle\": 1.13, \"box_2d\": [217.74, 186.79, 377.32, 265.99], \"box_3d\": [1.4, 1.61, 3.55, -6.49, 1.7, 14.72], \"ry\": 0.72}, {\"category\": \"Car\", \"angle\": 0.99, \"box_2d\": [341.28, 182.24, 455.26, 232.72], \"box_3d\": [1.4, 1.52, 3.76, -6.56, 1.71, 22.04], \"ry\": 0.7}, {\"category\": \"Car\", \"angle\": 0.86, \"box_2d\": [371.8, 177.0, 477.29, 225.87], \"box_3d\": [1.57, 1.64, 3.49, -6.47, 1.74, 24.91], \"ry\": 0.61}, {\"category\": \"Car\", \"angle\": 1.02, \"box_2d\": [421.83, 180.51, 497.71, 213.06], \"box_3d\": [1.38, 1.55, 3.89, -6.92, 1.75, 32.86], \"ry\": 0.81}, {\"category\": \"Car\", \"angle\": -1.45, \"box_2d\": [522.62, 180.83, 566.78, 212.11], \"box_3d\": [1.3, 1.55, 3.51, -2.9, 1.67, 32.28], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 0.75, \"box_2d\": [457.86, 175.01, 529.62, 202.59], \"box_3d\": [1.57, 1.67, 4.2, -6.99, 1.73, 43.05], \"ry\": 0.59}]\n```" + } + ] + }, + { + "id": 134, + "data_source": "Mono3DRefer", + "scene_name": "000266", + "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\": -1.27, \"box_2d\": [147.94, 195.97, 352.08, 311.04], \"box_3d\": [1.34, 1.69, 3.6, -5.23, 1.74, 10.91], \"ry\": -1.71}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [646.71, 163.55, 777.49, 258.96], \"box_3d\": [1.69, 1.59, 3.77, 1.9, 1.55, 14.83], \"ry\": -1.73}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [264.17, 184.68, 398.12, 263.55], \"box_3d\": [1.47, 1.74, 4.41, -6.07, 1.76, 16.13], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [581.33, 175.14, 640.65, 218.71], \"box_3d\": [1.49, 1.71, 3.58, -0.07, 1.6, 26.82], \"ry\": -1.71}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [403.87, 183.79, 452.11, 217.83], \"box_3d\": [1.39, 1.81, 3.46, -8.04, 1.89, 31.98], \"ry\": -1.74}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [557.84, 175.64, 594.88, 206.2], \"box_3d\": [1.47, 1.55, 3.37, -1.79, 1.64, 36.88], \"ry\": -1.72}, {\"category\": \"Car\", \"angle\": -1.96, \"box_2d\": [748.25, 180.42, 1034.25, 353.77], \"box_3d\": [1.45, 1.61, 3.34, 2.68, 1.54, 7.82], \"ry\": -1.64}]\n```" + } + ] + }, + { + "id": 135, + "data_source": "Mono3DRefer", + "scene_name": "000268", + "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\": [550.79, 169.64, 715.78, 328.61], \"box_3d\": [1.66, 1.73, 3.05, 0.2, 1.65, 9.15], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [256.69, 181.58, 348.02, 228.84], \"box_3d\": [1.58, 1.63, 4.31, -11.24, 1.91, 26.59], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 136, + "data_source": "Mono3DRefer", + "scene_name": "000271", + "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\": 2.65, \"box_2d\": [903.8, 188.46, 976.33, 214.9], \"box_3d\": [1.68, 1.39, 4.26, 22.13, 2.76, 48.48], \"ry\": 3.08}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [557.85, 176.56, 614.45, 232.99], \"box_3d\": [1.62, 1.63, 4.5, -0.78, 1.76, 23.22], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [238.89, 180.02, 292.21, 204.12], \"box_3d\": [1.46, 1.31, 4.15, -22.0, 1.93, 46.19], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 137, + "data_source": "Mono3DRefer", + "scene_name": "000272", + "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\": [603.66, 176.98, 642.02, 203.59], \"box_3d\": [1.5, 1.7, 3.77, 0.78, 1.77, 43.0], \"ry\": 1.75}]\n```" + } + ] + }, + { + "id": 138, + "data_source": "Mono3DRefer", + "scene_name": "000275", + "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\": [563.62, 170.71, 670.02, 271.31], \"box_3d\": [1.56, 1.65, 3.69, 0.07, 1.55, 13.14], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.37, \"box_2d\": [971.99, 174.01, 1241.0, 374.0], \"box_3d\": [1.45, 1.62, 3.88, 4.57, 1.46, 5.92], \"ry\": -0.74}, {\"category\": \"Car\", \"angle\": -1.1, \"box_2d\": [800.46, 156.91, 1088.76, 308.56], \"box_3d\": [1.54, 1.73, 4.04, 4.38, 1.39, 9.27], \"ry\": -0.68}, {\"category\": \"Car\", \"angle\": -1.08, \"box_2d\": [775.67, 173.75, 964.49, 264.73], \"box_3d\": [1.38, 1.56, 3.8, 4.68, 1.41, 12.83], \"ry\": -0.74}, {\"category\": \"Car\", \"angle\": 2.04, \"box_2d\": [0.0, 167.79, 187.8, 263.06], \"box_3d\": [1.57, 1.71, 4.32, -10.18, 1.52, 14.15], \"ry\": 1.42}]\n```" + } + ] + }, + { + "id": 139, + "data_source": "Mono3DRefer", + "scene_name": "000276", + "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\": [441.72, 179.02, 519.66, 239.6], \"box_3d\": [1.52, 1.55, 3.79, -3.57, 1.71, 20.24], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [538.11, 179.68, 568.84, 204.48], \"box_3d\": [1.48, 1.62, 3.21, -3.52, 1.91, 45.03], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [589.8, 176.25, 632.11, 218.39], \"box_3d\": [1.62, 1.63, 4.5, 0.01, 1.79, 30.31], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 140, + "data_source": "Mono3DRefer", + "scene_name": "000280", + "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\": [265.17, 193.28, 330.23, 223.5], \"box_3d\": [1.48, 1.79, 4.15, -17.12, 2.65, 39.7], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 141, + "data_source": "Mono3DRefer", + "scene_name": "000281", + "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\": [593.06, 169.73, 625.83, 201.27], \"box_3d\": [1.66, 1.73, 3.05, -0.06, 1.52, 39.97], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 142, + "data_source": "Mono3DRefer", + "scene_name": "000285", + "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\": [595.62, 181.33, 661.35, 243.71], \"box_3d\": [1.56, 1.65, 3.69, 0.41, 1.81, 20.13], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.24, \"box_2d\": [837.5, 168.67, 1076.72, 313.08], \"box_3d\": [1.54, 1.72, 3.88, 4.75, 1.51, 9.7], \"ry\": -0.79}, {\"category\": \"Car\", \"angle\": -1.01, \"box_2d\": [715.76, 178.58, 827.33, 237.3], \"box_3d\": [1.52, 1.49, 3.46, 4.65, 1.7, 20.7], \"ry\": -0.79}, {\"category\": \"Car\", \"angle\": -0.92, \"box_2d\": [677.52, 180.56, 771.35, 220.77], \"box_3d\": [1.39, 1.61, 3.65, 4.34, 1.7, 27.29], \"ry\": -0.77}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [353.01, 183.81, 448.54, 243.22], \"box_3d\": [1.6, 1.6, 3.77, -6.21, 1.94, 21.68], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [484.19, 180.78, 533.53, 213.19], \"box_3d\": [1.61, 1.7, 3.97, -5.33, 2.04, 38.25], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [164.4, 191.99, 311.09, 253.28], \"box_3d\": [1.45, 1.65, 4.63, -10.38, 2.04, 20.48], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [280.37, 180.38, 367.24, 233.95], \"box_3d\": [1.81, 1.59, 3.93, -10.48, 2.1, 26.61], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [555.46, 180.3, 589.04, 199.34], \"box_3d\": [1.45, 1.84, 4.59, -3.0, 2.06, 57.9], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [388.4, 182.18, 449.36, 214.91], \"box_3d\": [1.56, 1.62, 4.19, -9.79, 2.06, 37.15], \"ry\": 1.68}, {\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [471.91, 183.21, 521.83, 205.3], \"box_3d\": [1.42, 1.67, 4.53, -7.77, 2.16, 49.85], \"ry\": 1.84}, {\"category\": \"Car\", \"angle\": 2.35, \"box_2d\": [0.0, 188.86, 116.94, 251.89], \"box_3d\": [1.47, 1.48, 3.21, -14.94, 1.91, 18.94], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": 2.5, \"box_2d\": [11.83, 184.92, 151.34, 225.56], \"box_3d\": [1.47, 1.78, 4.34, -21.25, 1.99, 29.19], \"ry\": 1.88}]\n```" + } + ] + }, + { + "id": 143, + "data_source": "Mono3DRefer", + "scene_name": "000286", + "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\": 0.26, \"box_2d\": [347.45, 185.84, 425.72, 214.38], \"box_3d\": [1.52, 1.51, 3.94, -12.54, 2.28, 40.55], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": 0.42, \"box_2d\": [243.48, 186.4, 331.56, 216.19], \"box_3d\": [1.58, 1.56, 4.24, -18.08, 2.37, 40.5], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [627.58, 177.72, 652.34, 198.47], \"box_3d\": [1.49, 1.55, 3.93, 2.21, 1.88, 54.51], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [589.39, 176.3, 613.97, 199.68], \"box_3d\": [1.54, 1.63, 3.67, -0.59, 1.8, 50.02], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [405.67, 186.33, 516.16, 266.0], \"box_3d\": [1.45, 1.59, 3.59, -3.07, 1.76, 15.31], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.37, \"box_2d\": [955.63, 192.0, 1241.0, 374.0], \"box_3d\": [1.48, 1.47, 3.7, 2.93, 1.59, 2.72], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.94, \"box_2d\": [761.3, 175.99, 1116.88, 374.0], \"box_3d\": [1.64, 1.64, 3.89, 2.72, 1.69, 7.1], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [718.78, 171.95, 863.66, 299.07], \"box_3d\": [1.69, 1.39, 2.65, 2.61, 1.7, 11.05], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [664.82, 178.8, 742.05, 237.1], \"box_3d\": [1.5, 1.59, 3.79, 2.54, 1.69, 20.71], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [639.38, 178.03, 675.93, 209.91], \"box_3d\": [1.49, 1.57, 4.07, 2.3, 1.76, 36.03], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [654.65, 176.84, 711.32, 224.76], \"box_3d\": [1.57, 1.59, 3.75, 2.51, 1.74, 25.84], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 144, + "data_source": "Mono3DRefer", + "scene_name": "000291", + "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\": [479.73, 180.34, 550.56, 223.09], \"box_3d\": [1.43, 1.68, 4.19, -3.41, 1.71, 26.44], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [520.04, 176.85, 562.22, 210.91], \"box_3d\": [1.46, 1.59, 4.27, -3.16, 1.66, 33.43], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [543.28, 174.41, 576.92, 197.75], \"box_3d\": [1.38, 1.62, 4.06, -3.1, 1.5, 45.19], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [618.07, 173.69, 657.64, 213.4], \"box_3d\": [1.57, 1.56, 2.62, 1.12, 1.63, 30.16], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 145, + "data_source": "Mono3DRefer", + "scene_name": "000292", + "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\": [597.57, 174.78, 664.8, 239.73], \"box_3d\": [1.61, 1.66, 3.2, 0.53, 1.68, 19.65], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 146, + "data_source": "Mono3DRefer", + "scene_name": "000293", + "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\": [0.0, 191.75, 403.27, 374.0], \"box_3d\": [1.5, 1.7, 3.77, -3.47, 1.72, 6.93], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [494.78, 182.16, 529.62, 214.42], \"box_3d\": [1.57, 1.55, 3.32, -5.05, 2.06, 37.31], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -3.05, \"box_2d\": [330.97, 174.77, 444.98, 218.79], \"box_3d\": [1.77, 1.73, 4.53, -9.48, 1.88, 31.02], \"ry\": 2.94}]\n```" + } + ] + }, + { + "id": 147, + "data_source": "Mono3DRefer", + "scene_name": "000295", + "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\": [286.19, 186.56, 418.07, 282.76], \"box_3d\": [1.49, 1.67, 4.52, -4.8, 1.78, 13.89], \"ry\": 1.39}]\n```" + } + ] + }, + { + "id": 148, + "data_source": "Mono3DRefer", + "scene_name": "000296", + "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\": -1.4, \"box_2d\": [685.75, 164.92, 739.44, 208.12], \"box_3d\": [1.73, 1.6, 4.11, 4.46, 1.44, 31.14], \"ry\": -1.26}, {\"category\": \"Car\", \"angle\": 2.18, \"box_2d\": [224.94, 186.16, 335.61, 238.74], \"box_3d\": [1.46, 1.37, 3.45, -10.13, 1.9, 22.34], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": -0.51, \"box_2d\": [0.0, 189.0, 193.29, 336.93], \"box_3d\": [1.53, 1.45, 4.33, -7.13, 1.74, 8.0], \"ry\": -1.22}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [429.91, 181.14, 493.11, 211.5], \"box_3d\": [1.4, 1.68, 4.76, -7.39, 1.83, 36.24], \"ry\": 1.69}]\n```" + } + ] + }, + { + "id": 149, + "data_source": "Mono3DRefer", + "scene_name": "000297", + "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\": [412.32, 186.04, 460.72, 217.29], \"box_3d\": [1.56, 1.73, 4.37, -9.44, 2.31, 39.45], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [458.94, 183.36, 488.76, 206.38], \"box_3d\": [1.6, 1.67, 2.65, -9.87, 2.38, 52.36], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 150, + "data_source": "Mono3DRefer", + "scene_name": "000300", + "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\": -2.43, \"box_2d\": [785.01, 175.65, 848.7, 202.34], \"box_3d\": [1.48, 1.36, 3.51, 11.97, 1.67, 42.02], \"ry\": -2.15}]\n```" + } + ] + }, + { + "id": 151, + "data_source": "Mono3DRefer", + "scene_name": "000301", + "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\": [553.85, 173.51, 628.19, 241.31], \"box_3d\": [1.6, 1.76, 3.84, -0.48, 1.32, 19.08], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.36, \"box_2d\": [358.8, 191.12, 496.37, 276.59], \"box_3d\": [1.3, 1.61, 4.39, -3.29, 1.45, 13.79], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [442.41, 179.69, 525.35, 236.97], \"box_3d\": [1.46, 1.66, 4.29, -3.46, 1.31, 20.58], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.45, \"box_2d\": [485.9, 173.99, 543.29, 220.87], \"box_3d\": [1.65, 1.7, 3.9, -3.5, 1.24, 27.4], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.35, \"box_2d\": [409.78, 174.99, 462.77, 212.3], \"box_3d\": [1.66, 1.62, 3.95, -8.12, 1.2, 34.23], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.49, \"box_2d\": [517.51, 175.34, 558.56, 209.96], \"box_3d\": [1.64, 1.72, 4.24, -3.51, 1.16, 36.56], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 152, + "data_source": "Mono3DRefer", + "scene_name": "000302", + "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\": -0.7, \"box_2d\": [399.86, 175.1, 505.05, 218.48], \"box_3d\": [1.48, 1.56, 3.62, -5.43, 1.25, 26.45], \"ry\": -0.9}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [328.81, 169.19, 397.46, 202.72], \"box_3d\": [1.68, 1.67, 4.29, -12.65, 1.06, 38.43], \"ry\": 1.73}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [562.87, 172.16, 598.61, 196.02], \"box_3d\": [1.43, 1.66, 4.15, -1.25, 0.87, 45.6], \"ry\": -1.46}]\n```" + } + ] + }, + { + "id": 153, + "data_source": "Mono3DRefer", + "scene_name": "000306", + "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\": [556.85, 173.12, 619.99, 236.08], \"box_3d\": [1.62, 1.63, 4.5, -0.67, 1.66, 21.05], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 2.22, \"box_2d\": [13.95, 169.57, 93.39, 206.59], \"box_3d\": [1.7, 1.64, 2.85, -26.79, 1.57, 34.79], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 154, + "data_source": "Mono3DRefer", + "scene_name": "000307", + "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\": 1.91, \"box_2d\": [336.48, 186.85, 384.22, 213.59], \"box_3d\": [1.67, 1.87, 3.69, -16.67, 2.63, 48.29], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 155, + "data_source": "Mono3DRefer", + "scene_name": "000310", + "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\": [550.26, 175.17, 644.51, 244.53], \"box_3d\": [1.6, 1.7, 3.56, -0.47, 1.68, 18.68], \"ry\": -1.8}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [524.12, 179.11, 600.18, 231.15], \"box_3d\": [1.52, 1.73, 3.89, -1.68, 1.75, 23.47], \"ry\": -1.83}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [275.06, 191.43, 339.86, 242.11], \"box_3d\": [1.44, 1.6, 3.79, -9.83, 2.08, 23.56], \"ry\": 1.27}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [502.96, 182.68, 553.93, 219.83], \"box_3d\": [1.37, 1.51, 3.49, -3.34, 1.77, 28.76], \"ry\": -1.83}, {\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [790.84, 179.16, 1010.03, 371.7], \"box_3d\": [1.51, 1.69, 4.04, 3.18, 1.59, 7.88], \"ry\": -1.14}, {\"category\": \"Car\", \"angle\": -1.91, \"box_2d\": [613.46, 180.93, 789.58, 289.35], \"box_3d\": [1.46, 1.58, 3.93, 1.26, 1.61, 11.93], \"ry\": -1.81}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [107.38, 194.33, 285.97, 295.88], \"box_3d\": [1.5, 1.68, 4.03, -7.49, 1.95, 13.44], \"ry\": 1.38}]\n```" + } + ] + }, + { + "id": 156, + "data_source": "Mono3DRefer", + "scene_name": "000311", + "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\": [230.68, 177.46, 487.51, 349.05], \"box_3d\": [1.47, 1.6, 4.41, -2.6, 1.54, 8.47], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [763.83, 158.53, 1241.0, 374.0], \"box_3d\": [1.63, 1.69, 3.88, 2.38, 1.58, 5.61], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.32, \"box_2d\": [393.96, 184.55, 542.19, 278.98], \"box_3d\": [1.46, 1.68, 4.1, -2.49, 1.7, 13.46], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [662.44, 180.11, 719.57, 223.61], \"box_3d\": [1.49, 1.64, 4.17, 2.92, 1.77, 27.05], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [713.49, 179.11, 879.89, 290.64], \"box_3d\": [1.41, 1.56, 3.97, 2.63, 1.52, 11.23], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [553.74, 176.47, 586.85, 206.69], \"box_3d\": [1.6, 1.75, 3.89, -2.21, 1.82, 40.55], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [648.61, 177.76, 686.28, 208.79], \"box_3d\": [1.59, 1.64, 4.03, 3.06, 1.87, 39.39], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 157, + "data_source": "Mono3DRefer", + "scene_name": "000313", + "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\": 0.4, \"box_2d\": [274.89, 186.98, 426.62, 230.51], \"box_3d\": [1.36, 1.68, 4.49, -8.68, 1.86, 24.24], \"ry\": 0.06}]\n```" + } + ] + }, + { + "id": 158, + "data_source": "Mono3DRefer", + "scene_name": "000314", + "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\": [0.0, 205.78, 137.85, 333.01], \"box_3d\": [1.44, 1.58, 3.72, -8.16, 2.0, 10.66], \"ry\": 1.08}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [193.4, 207.86, 231.88, 241.73], \"box_3d\": [1.39, 1.52, 3.56, -19.08, 3.15, 34.67], \"ry\": 1.1}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [99.41, 207.79, 203.65, 284.84], \"box_3d\": [1.46, 1.59, 3.35, -10.63, 2.35, 16.86], \"ry\": 1.15}]\n```" + } + ] + }, + { + "id": 159, + "data_source": "Mono3DRefer", + "scene_name": "000315", + "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\": [630.9, 176.65, 662.81, 197.27], \"box_3d\": [1.5, 1.7, 3.77, 2.82, 1.81, 54.91], \"ry\": 1.82}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [722.85, 177.56, 858.36, 295.97], \"box_3d\": [1.57, 1.56, 2.62, 2.57, 1.66, 10.95], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [308.02, 190.2, 511.1, 319.33], \"box_3d\": [1.49, 1.53, 3.88, -2.75, 1.78, 10.67], \"ry\": 1.69}]\n```" + } + ] + }, + { + "id": 160, + "data_source": "Mono3DRefer", + "scene_name": "000316", + "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\": [588.34, 175.63, 612.67, 198.77], \"box_3d\": [1.54, 1.63, 3.67, -0.67, 1.76, 50.53], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [465.69, 182.44, 538.49, 237.14], \"box_3d\": [1.45, 1.59, 3.59, -3.12, 1.74, 21.22], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.04, \"box_2d\": [814.81, 185.31, 1241.0, 374.0], \"box_3d\": [1.48, 1.47, 3.7, 2.93, 1.6, 5.87], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [719.32, 174.47, 919.14, 316.36], \"box_3d\": [1.64, 1.64, 3.89, 2.7, 1.69, 10.38], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.82, \"box_2d\": [695.26, 171.46, 800.62, 266.75], \"box_3d\": [1.69, 1.39, 2.65, 2.6, 1.69, 14.3], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [657.35, 177.99, 722.28, 227.74], \"box_3d\": [1.5, 1.59, 3.79, 2.53, 1.69, 23.94], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [636.71, 177.31, 669.73, 206.44], \"box_3d\": [1.49, 1.57, 4.07, 2.28, 1.75, 39.25], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [647.98, 176.47, 697.05, 218.73], \"box_3d\": [1.57, 1.59, 3.75, 2.42, 1.74, 29.04], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 0.22, \"box_2d\": [365.66, 182.66, 437.48, 208.97], \"box_3d\": [1.52, 1.51, 3.94, -12.62, 2.14, 43.74], \"ry\": -0.05}, {\"category\": \"Car\", \"angle\": 0.4, \"box_2d\": [268.54, 182.74, 349.53, 210.2], \"box_3d\": [1.58, 1.56, 4.24, -18.19, 2.21, 43.65], \"ry\": 0.0}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [626.13, 176.0, 649.43, 195.55], \"box_3d\": [1.49, 1.55, 3.93, 2.18, 1.77, 57.74], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 161, + "data_source": "Mono3DRefer", + "scene_name": "000319", + "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\": [599.09, 176.71, 627.07, 204.35], \"box_3d\": [1.65, 1.67, 3.64, 0.16, 1.91, 45.33], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [178.46, 193.54, 291.55, 245.16], \"box_3d\": [1.41, 1.55, 4.16, -11.89, 2.12, 23.12], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.98, \"box_2d\": [236.96, 190.66, 348.83, 249.14], \"box_3d\": [1.38, 1.45, 3.63, -8.55, 1.9, 19.67], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [449.64, 182.84, 485.44, 207.63], \"box_3d\": [1.41, 1.53, 3.98, -8.65, 2.03, 43.94], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 162, + "data_source": "Mono3DRefer", + "scene_name": "000321", + "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\": [528.71, 174.85, 554.02, 195.74], \"box_3d\": [1.39, 1.48, 3.76, -4.78, 1.55, 50.37], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [131.71, 187.57, 430.83, 370.81], \"box_3d\": [1.56, 1.68, 3.91, -3.43, 1.75, 8.31], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [450.5, 185.08, 523.42, 231.98], \"box_3d\": [1.43, 1.75, 4.47, -4.18, 1.88, 24.95], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 163, + "data_source": "Mono3DRefer", + "scene_name": "000323", + "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\": [3.78, 210.08, 329.81, 358.59], \"box_3d\": [1.47, 1.58, 3.55, -5.49, 1.97, 8.9], \"ry\": -2.78}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [704.29, 172.82, 803.3, 254.27], \"box_3d\": [1.6, 1.75, 3.89, 3.31, 1.62, 16.27], \"ry\": -1.26}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [960.23, 157.46, 1142.32, 258.19], \"box_3d\": [1.59, 1.64, 4.03, 7.96, 1.37, 13.52], \"ry\": -1.36}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [932.24, 163.38, 1038.42, 226.34], \"box_3d\": [1.5, 1.8, 4.5, 9.98, 1.3, 19.6], \"ry\": -1.26}, {\"category\": \"Car\", \"angle\": -1.49, \"box_2d\": [768.08, 171.91, 813.8, 210.03], \"box_3d\": [1.46, 1.56, 3.21, 7.39, 1.45, 29.45], \"ry\": -1.25}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [905.56, 154.84, 956.84, 203.11], \"box_3d\": [1.83, 1.75, 4.52, 13.1, 1.17, 29.69], \"ry\": -1.19}]\n```" + } + ] + }, + { + "id": 164, + "data_source": "Mono3DRefer", + "scene_name": "000326", + "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\": [687.66, 184.67, 807.99, 262.11], \"box_3d\": [1.38, 1.51, 4.1, 2.72, 1.65, 15.32], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -2.23, \"box_2d\": [911.39, 157.06, 1241.0, 374.0], \"box_3d\": [1.6, 1.66, 3.55, 3.65, 1.53, 4.9], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 165, + "data_source": "Mono3DRefer", + "scene_name": "000329", + "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\": [600.79, 179.94, 628.52, 207.34], \"box_3d\": [1.65, 1.67, 3.64, 0.25, 2.11, 45.71], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [501.21, 184.53, 524.24, 201.5], \"box_3d\": [1.38, 1.45, 3.63, -8.35, 2.4, 62.03], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 166, + "data_source": "Mono3DRefer", + "scene_name": "000334", + "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\": [689.27, 181.33, 723.69, 201.8], \"box_3d\": [1.48, 1.36, 3.51, 7.24, 2.13, 54.52], \"ry\": -1.82}]\n```" + } + ] + }, + { + "id": 167, + "data_source": "Mono3DRefer", + "scene_name": "000335", + "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\": [456.45, 171.7, 543.78, 242.16], \"box_3d\": [1.7, 1.63, 4.08, -2.91, 1.7, 19.62], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [752.69, 181.01, 1000.64, 373.47], \"box_3d\": [1.59, 1.59, 2.47, 2.42, 1.68, 7.25], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [706.66, 189.08, 833.31, 287.05], \"box_3d\": [1.37, 1.59, 3.22, 2.49, 1.67, 12.06], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [509.97, 181.33, 568.9, 221.43], \"box_3d\": [1.4, 1.67, 3.72, -2.65, 1.74, 27.47], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": 1.51, \"box_2d\": [640.67, 177.82, 670.7, 203.29], \"box_3d\": [1.49, 1.61, 3.74, 2.75, 1.81, 44.43], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.65, \"box_2d\": [72.94, 166.25, 360.59, 260.59], \"box_3d\": [1.59, 1.63, 4.43, -7.16, 1.51, 13.33], \"ry\": -3.13}]\n```" + } + ] + }, + { + "id": 168, + "data_source": "Mono3DRefer", + "scene_name": "000339", + "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\": [346.34, 185.91, 427.94, 241.3], \"box_3d\": [1.42, 1.51, 3.71, -6.42, 1.82, 20.98], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [634.11, 180.06, 712.16, 237.37], \"box_3d\": [1.37, 1.51, 3.49, 1.55, 1.57, 19.19], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": 2.37, \"box_2d\": [0.0, 203.67, 150.67, 374.0], \"box_3d\": [1.5, 1.68, 4.03, -5.37, 1.79, 5.01], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [723.32, 167.34, 974.03, 337.08], \"box_3d\": [1.6, 1.7, 3.56, 2.52, 1.57, 8.66], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [661.72, 174.72, 802.4, 268.54], \"box_3d\": [1.52, 1.73, 3.89, 2.12, 1.59, 13.86], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [265.91, 190.56, 396.89, 272.86], \"box_3d\": [1.44, 1.6, 3.79, -5.75, 1.85, 15.22], \"ry\": 1.48}]\n```" + } + ] + }, + { + "id": 169, + "data_source": "Mono3DRefer", + "scene_name": "000343", + "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\": [795.44, 165.84, 836.84, 206.61], \"box_3d\": [1.82, 1.65, 3.67, 9.69, 1.53, 34.2], \"ry\": -1.35}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [870.06, 158.97, 1051.89, 278.85], \"box_3d\": [1.72, 1.67, 4.42, 5.84, 1.55, 12.68], \"ry\": -1.4}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [608.99, 177.0, 687.68, 239.1], \"box_3d\": [1.44, 1.56, 3.84, 1.05, 1.56, 18.72], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [684.7, 172.14, 719.08, 205.22], \"box_3d\": [1.5, 1.55, 4.21, 4.46, 1.5, 35.16], \"ry\": -1.44}]\n```" + } + ] + }, + { + "id": 170, + "data_source": "Mono3DRefer", + "scene_name": "000345", + "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\": [569.9, 176.8, 622.56, 224.82], \"box_3d\": [1.6, 1.76, 3.84, -0.46, 1.31, 26.13], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.27, \"box_2d\": [244.92, 192.9, 443.88, 309.21], \"box_3d\": [1.36, 1.62, 3.99, -3.76, 1.52, 10.91], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.29, \"box_2d\": [361.07, 181.46, 429.1, 221.25], \"box_3d\": [1.4, 1.46, 3.84, -8.09, 1.27, 27.54], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.26, \"box_2d\": [342.45, 176.51, 395.61, 206.98], \"box_3d\": [1.5, 1.57, 3.63, -12.41, 1.06, 37.49], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [535.64, 181.22, 564.13, 202.81], \"box_3d\": [1.3, 1.61, 4.39, -3.68, 1.05, 46.02], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 171, + "data_source": "Mono3DRefer", + "scene_name": "000349", + "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\": [291.36, 186.88, 456.08, 286.55], \"box_3d\": [1.44, 1.61, 3.66, -3.96, 1.71, 12.58], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [250.72, 188.18, 385.56, 257.82], \"box_3d\": [1.41, 1.53, 3.37, -6.67, 1.79, 16.73], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [615.88, 174.36, 669.64, 226.21], \"box_3d\": [1.61, 1.66, 3.2, 1.08, 1.68, 24.19], \"ry\": -1.51}]\n```" + } + ] + }, + { + "id": 172, + "data_source": "Mono3DRefer", + "scene_name": "000352", + "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\": [0.0, 204.1, 95.82, 332.11], \"box_3d\": [1.5, 1.52, 3.65, -9.2, 1.95, 9.54], \"ry\": 0.04}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [710.76, 170.47, 841.04, 267.61], \"box_3d\": [1.56, 1.57, 3.78, 2.91, 1.55, 13.6], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [299.47, 192.19, 445.76, 284.47], \"box_3d\": [1.47, 1.71, 3.85, -4.47, 1.88, 14.05], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [397.5, 176.83, 489.93, 248.55], \"box_3d\": [1.73, 1.65, 3.7, -4.4, 1.85, 19.41], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [670.6, 174.13, 742.17, 229.83], \"box_3d\": [1.54, 1.66, 3.79, 2.82, 1.6, 22.06], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [455.68, 180.68, 520.43, 233.87], \"box_3d\": [1.68, 1.63, 3.94, -4.18, 1.96, 25.06], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [661.58, 177.82, 724.1, 218.7], \"box_3d\": [1.48, 1.64, 4.15, 3.15, 1.69, 28.47], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [626.7, 179.69, 651.2, 198.67], \"box_3d\": [1.45, 1.61, 3.34, 2.26, 2.01, 57.48], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [529.25, 183.74, 555.11, 200.73], \"box_3d\": [1.34, 1.69, 3.6, -5.7, 2.26, 60.12], \"ry\": -1.79}, {\"category\": \"Car\", \"angle\": -1.92, \"box_2d\": [760.92, 175.17, 1106.31, 374.0], \"box_3d\": [1.51, 1.59, 4.28, 2.78, 1.56, 7.43], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 173, + "data_source": "Mono3DRefer", + "scene_name": "000353", + "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\": 2.02, \"box_2d\": [0.0, 177.92, 277.51, 356.22], \"box_3d\": [1.41, 1.72, 4.41, -5.33, 1.49, 7.92], \"ry\": 1.44}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [265.35, 157.96, 398.99, 238.6], \"box_3d\": [1.62, 1.75, 4.3, -6.32, 1.35, 16.81], \"ry\": 1.49}]\n```" + } + ] + }, + { + "id": 174, + "data_source": "Mono3DRefer", + "scene_name": "000356", + "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\": [632.32, 179.44, 744.64, 261.52], \"box_3d\": [1.57, 1.72, 3.52, 1.54, 1.72, 15.76], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [0.0, 96.93, 369.53, 374.0], \"box_3d\": [2.01, 1.89, 4.91, -3.55, 1.62, 6.43], \"ry\": 1.39}, {\"category\": \"Car\", \"angle\": -1.49, \"box_2d\": [408.14, 180.2, 467.6, 232.49], \"box_3d\": [1.65, 1.67, 3.81, -5.91, 1.91, 24.96], \"ry\": -1.72}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [612.33, 179.35, 678.37, 233.96], \"box_3d\": [1.52, 1.51, 3.1, 0.97, 1.73, 21.96], \"ry\": -1.68}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [588.02, 180.18, 643.47, 225.1], \"box_3d\": [1.53, 1.58, 3.53, 0.11, 1.81, 26.63], \"ry\": -1.7}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [570.29, 179.79, 603.15, 207.92], \"box_3d\": [1.46, 1.6, 3.71, -1.35, 1.85, 39.74], \"ry\": -1.65}]\n```" + } + ] + }, + { + "id": 175, + "data_source": "Mono3DRefer", + "scene_name": "000360", + "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\": -2.43, \"box_2d\": [776.46, 184.15, 929.46, 246.93], \"box_3d\": [1.42, 1.58, 3.48, 6.05, 1.72, 18.41], \"ry\": -2.12}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [261.47, 187.05, 321.92, 217.2], \"box_3d\": [1.53, 1.81, 3.33, -17.39, 2.33, 39.51], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 176, + "data_source": "Mono3DRefer", + "scene_name": "000363", + "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\": [497.17, 176.9, 546.51, 215.54], \"box_3d\": [1.58, 1.6, 4.11, -3.85, 1.78, 31.83], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [546.67, 179.5, 570.87, 201.21], \"box_3d\": [1.52, 1.55, 3.79, -3.76, 2.02, 53.07], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [589.26, 175.64, 633.83, 220.04], \"box_3d\": [1.62, 1.63, 4.5, 0.01, 1.76, 28.89], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 177, + "data_source": "Mono3DRefer", + "scene_name": "000367", + "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\": [500.15, 178.76, 534.67, 203.63], \"box_3d\": [1.51, 1.81, 4.07, -5.95, 1.91, 46.56], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 178, + "data_source": "Mono3DRefer", + "scene_name": "000372", + "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\": [364.11, 184.83, 411.55, 208.32], \"box_3d\": [1.56, 1.91, 4.44, -15.82, 2.44, 51.55], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.19, \"box_2d\": [5.93, 196.11, 172.41, 263.52], \"box_3d\": [1.48, 1.71, 3.54, -13.28, 2.13, 18.61], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 179, + "data_source": "Mono3DRefer", + "scene_name": "000375", + "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\": 2.02, \"box_2d\": [152.36, 186.52, 377.23, 296.17], \"box_3d\": [1.42, 1.78, 3.62, -5.12, 1.53, 11.45], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 180, + "data_source": "Mono3DRefer", + "scene_name": "000379", + "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, 194.65, 117.25, 259.47], \"box_3d\": [1.63, 1.87, 3.47, -16.34, 2.3, 20.76], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [340.99, 187.85, 386.73, 209.47], \"box_3d\": [1.33, 1.72, 3.63, -16.34, 2.35, 48.0], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 181, + "data_source": "Mono3DRefer", + "scene_name": "000380", + "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\": [602.22, 183.66, 675.02, 243.48], \"box_3d\": [1.36, 1.69, 3.38, 0.63, 1.66, 18.55], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.43, \"box_2d\": [1074.45, 174.52, 1235.26, 220.02], \"box_3d\": [1.45, 1.67, 4.32, 18.46, 1.53, 24.59], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [364.22, 184.46, 419.74, 217.0], \"box_3d\": [1.59, 1.72, 3.86, -11.45, 2.22, 38.03], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [584.44, 182.86, 628.16, 223.09], \"box_3d\": [1.52, 1.67, 3.61, -0.17, 1.94, 29.53], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 182, + "data_source": "Mono3DRefer", + "scene_name": "000383", + "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\": -0.99, \"box_2d\": [0.0, 193.02, 354.35, 369.0], \"box_3d\": [1.5, 1.78, 3.69, -3.21, 1.64, 4.56], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [452.52, 168.47, 485.07, 192.21], \"box_3d\": [1.45, 1.75, 4.23, -8.77, 0.7, 45.82], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 183, + "data_source": "Mono3DRefer", + "scene_name": "000385", + "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\": [754.96, 190.98, 1024.52, 371.56], \"box_3d\": [1.46, 1.54, 3.62, 2.68, 1.69, 7.91], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [505.9, 180.2, 564.96, 228.71], \"box_3d\": [1.52, 1.57, 4.42, -2.53, 1.78, 25.01], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.43, \"box_2d\": [668.54, 181.0, 743.45, 239.03], \"box_3d\": [1.51, 1.58, 3.92, 2.65, 1.75, 20.96], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.59, \"box_2d\": [552.32, 182.21, 582.49, 209.94], \"box_3d\": [1.46, 1.6, 3.33, -2.38, 1.99, 40.29], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [648.43, 178.32, 683.42, 209.11], \"box_3d\": [1.64, 1.7, 3.54, 3.08, 1.96, 40.62], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 184, + "data_source": "Mono3DRefer", + "scene_name": "000386", + "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\": -1.45, \"box_2d\": [498.87, 183.73, 546.62, 217.13], \"box_3d\": [1.37, 1.61, 4.21, -3.79, 1.32, 32.35], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.0, \"box_2d\": [40.27, 185.85, 205.47, 253.22], \"box_3d\": [1.5, 1.55, 3.99, -12.27, 1.54, 18.48], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [569.27, 178.19, 613.88, 218.86], \"box_3d\": [1.6, 1.76, 3.84, -0.71, 1.32, 30.51], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.12, \"box_2d\": [0.0, 180.33, 410.1, 375.0], \"box_3d\": [1.64, 1.72, 4.24, -3.19, 1.61, 6.23], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -0.96, \"box_2d\": [0.0, 190.67, 209.01, 310.58], \"box_3d\": [1.45, 1.61, 3.72, -7.92, 1.57, 10.89], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.25, \"box_2d\": [306.71, 177.56, 400.23, 233.63], \"box_3d\": [1.65, 1.66, 3.96, -8.14, 1.41, 23.27], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.37, \"box_2d\": [421.49, 183.49, 508.95, 243.09], \"box_3d\": [1.48, 1.64, 3.81, -3.9, 1.44, 20.07], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.33, \"box_2d\": [383.23, 182.22, 447.69, 219.8], \"box_3d\": [1.44, 1.71, 3.78, -7.97, 1.33, 30.01], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 185, + "data_source": "Mono3DRefer", + "scene_name": "000387", + "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\": [385.14, 187.58, 435.98, 213.25], \"box_3d\": [1.29, 1.57, 4.38, -11.05, 2.14, 40.16], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [466.19, 185.79, 492.19, 203.1], \"box_3d\": [1.4, 1.54, 3.67, -11.23, 2.53, 62.02], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -0.81, \"box_2d\": [633.8, 178.74, 674.57, 196.78], \"box_3d\": [1.53, 1.57, 3.54, 3.91, 2.06, 63.69], \"ry\": -0.75}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [578.22, 183.58, 638.11, 240.81], \"box_3d\": [1.56, 1.65, 3.69, -0.07, 1.9, 21.91], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 186, + "data_source": "Mono3DRefer", + "scene_name": "000388", + "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\": [527.71, 176.48, 549.82, 196.14], \"box_3d\": [1.66, 1.73, 3.05, -6.23, 2.0, 63.22], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 187, + "data_source": "Mono3DRefer", + "scene_name": "000390", + "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\": [478.55, 182.18, 520.33, 225.26], \"box_3d\": [1.68, 1.63, 3.9, -4.67, 2.09, 30.59], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [463.21, 185.28, 499.61, 210.78], \"box_3d\": [1.47, 1.7, 4.39, -8.06, 2.26, 44.83], \"ry\": 1.27}]\n```" + } + ] + }, + { + "id": 188, + "data_source": "Mono3DRefer", + "scene_name": "000391", + "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\": -1.17, \"box_2d\": [210.96, 184.65, 348.23, 254.44], \"box_3d\": [1.48, 1.64, 3.82, -7.88, 1.49, 17.58], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [579.01, 176.54, 617.32, 211.48], \"box_3d\": [1.6, 1.76, 3.84, -0.52, 1.2, 35.2], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 189, + "data_source": "Mono3DRefer", + "scene_name": "000397", + "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\": 0.28, \"box_2d\": [276.87, 183.57, 461.62, 243.88], \"box_3d\": [1.52, 1.71, 4.49, -6.52, 1.84, 19.76], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": 0.22, \"box_2d\": [388.39, 173.86, 510.32, 224.45], \"box_3d\": [1.95, 1.64, 4.57, -6.48, 2.02, 29.27], \"ry\": 0.0}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [646.35, 182.83, 689.23, 218.42], \"box_3d\": [1.54, 1.67, 3.72, 2.61, 2.02, 33.67], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.28, \"box_2d\": [888.59, 220.02, 1241.0, 374.0], \"box_3d\": [1.35, 1.58, 4.05, 2.91, 1.7, 3.38], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [659.74, 174.77, 737.6, 237.05], \"box_3d\": [1.76, 1.71, 4.35, 2.65, 1.85, 22.78], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -2.72, \"box_2d\": [248.74, 184.15, 423.42, 251.5], \"box_3d\": [1.52, 1.58, 3.61, -6.58, 1.82, 17.43], \"ry\": -3.08}]\n```" + } + ] + }, + { + "id": 190, + "data_source": "Mono3DRefer", + "scene_name": "000400", + "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\": [685.77, 178.12, 767.02, 235.21], \"box_3d\": [1.5, 1.62, 3.89, 3.27, 1.67, 21.18], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.15, \"box_2d\": [885.8, 160.44, 1241.0, 374.0], \"box_3d\": [1.69, 1.58, 3.95, 3.64, 1.65, 5.47], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -2.73, \"box_2d\": [928.61, 177.14, 1016.83, 209.77], \"box_3d\": [1.48, 1.36, 3.51, 17.33, 1.71, 34.63], \"ry\": -2.27}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [642.24, 178.5, 680.14, 208.68], \"box_3d\": [1.38, 1.49, 3.32, 2.41, 1.66, 34.98], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 191, + "data_source": "Mono3DRefer", + "scene_name": "000404", + "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\": -1.63, \"box_2d\": [508.52, 182.69, 530.26, 200.4], \"box_3d\": [1.37, 1.54, 3.56, -7.23, 1.18, 58.51], \"ry\": -1.75}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [541.75, 178.07, 619.77, 243.03], \"box_3d\": [1.6, 1.76, 3.84, -0.88, 1.42, 19.9], \"ry\": -1.71}, {\"category\": \"Car\", \"angle\": -0.93, \"box_2d\": [0.0, 206.32, 92.31, 361.15], \"box_3d\": [1.36, 1.61, 3.76, -6.33, 1.61, 6.04], \"ry\": -1.71}, {\"category\": \"Car\", \"angle\": -1.2, \"box_2d\": [86.85, 193.98, 287.9, 295.95], \"box_3d\": [1.37, 1.59, 3.89, -6.96, 1.57, 12.31], \"ry\": -1.71}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [446.5, 180.26, 502.06, 231.81], \"box_3d\": [1.58, 1.68, 3.95, -4.53, 1.42, 24.3], \"ry\": -1.75}, {\"category\": \"Car\", \"angle\": -1.33, \"box_2d\": [250.73, 185.67, 353.31, 242.13], \"box_3d\": [1.42, 1.69, 4.53, -8.78, 1.45, 20.96], \"ry\": -1.73}, {\"category\": \"Car\", \"angle\": -1.2, \"box_2d\": [142.94, 186.08, 260.39, 238.86], \"box_3d\": [1.42, 1.7, 4.13, -12.31, 1.47, 22.05], \"ry\": -1.7}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [349.56, 183.91, 401.96, 218.31], \"box_3d\": [1.42, 1.53, 4.2, -10.47, 1.38, 32.59], \"ry\": -1.7}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [379.97, 183.36, 419.63, 210.15], \"box_3d\": [1.43, 1.62, 4.08, -11.91, 1.34, 41.31], \"ry\": -1.71}]\n```" + } + ] + }, + { + "id": 192, + "data_source": "Mono3DRefer", + "scene_name": "000408", + "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\": [468.04, 170.73, 546.7, 233.79], \"box_3d\": [1.7, 1.63, 4.08, -3.01, 1.67, 21.68], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [719.27, 175.5, 893.58, 317.32], \"box_3d\": [1.59, 1.59, 2.47, 2.36, 1.64, 9.39], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [692.1, 186.0, 792.66, 266.59], \"box_3d\": [1.37, 1.59, 3.22, 2.45, 1.65, 14.21], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [513.36, 178.43, 567.15, 215.41], \"box_3d\": [1.4, 1.67, 3.72, -2.82, 1.64, 29.51], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": 1.52, \"box_2d\": [635.66, 175.74, 663.8, 200.02], \"box_3d\": [1.49, 1.61, 3.74, 2.5, 1.69, 46.52], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.71, \"box_2d\": [147.2, 164.76, 390.58, 245.63], \"box_3d\": [1.59, 1.63, 4.43, -7.2, 1.46, 15.42], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 193, + "data_source": "Mono3DRefer", + "scene_name": "000423", + "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\": [588.54, 175.38, 639.37, 216.74], \"box_3d\": [1.36, 1.69, 3.38, 0.06, 1.48, 25.82], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.22, \"box_2d\": [0.0, 177.11, 267.66, 342.47], \"box_3d\": [1.57, 1.64, 3.49, -5.83, 1.64, 8.56], \"ry\": 0.64}, {\"category\": \"Car\", \"angle\": 1.07, \"box_2d\": [258.28, 182.96, 411.21, 252.17], \"box_3d\": [1.38, 1.55, 3.89, -6.38, 1.63, 16.42], \"ry\": 0.7}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [455.11, 187.46, 552.0, 256.65], \"box_3d\": [1.3, 1.55, 3.51, -2.27, 1.65, 15.88], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [498.82, 180.98, 573.83, 235.69], \"box_3d\": [1.43, 1.62, 3.76, -2.09, 1.68, 20.99], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": 0.88, \"box_2d\": [393.2, 171.2, 503.41, 217.02], \"box_3d\": [1.57, 1.67, 4.2, -6.08, 1.55, 26.73], \"ry\": 0.65}, {\"category\": \"Car\", \"angle\": -1.94, \"box_2d\": [777.98, 193.67, 1108.47, 374.0], \"box_3d\": [1.38, 1.55, 3.6, 2.81, 1.63, 7.07], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [653.12, 172.87, 698.79, 209.4], \"box_3d\": [1.45, 1.64, 3.7, 2.72, 1.48, 30.8], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [286.95, 176.44, 352.29, 206.4], \"box_3d\": [1.43, 1.73, 4.09, -14.8, 1.63, 36.92], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [582.32, 173.28, 616.64, 204.6], \"box_3d\": [1.52, 1.67, 3.61, -0.54, 1.56, 37.13], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.17, \"box_2d\": [66.48, 179.17, 194.54, 229.71], \"box_3d\": [1.44, 1.52, 3.66, -14.9, 1.65, 22.6], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 194, + "data_source": "Mono3DRefer", + "scene_name": "000424", + "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\": [0.0, 212.29, 104.2, 363.9], \"box_3d\": [1.46, 1.77, 4.59, -7.17, 1.97, 7.19], \"ry\": 1.35}, {\"category\": \"Car\", \"angle\": -1.15, \"box_2d\": [1163.91, 101.79, 1241.0, 348.72], \"box_3d\": [2.04, 1.66, 4.62, 7.43, 1.43, 6.44], \"ry\": -0.32}, {\"category\": \"Car\", \"angle\": -0.79, \"box_2d\": [808.1, 168.13, 1113.18, 277.74], \"box_3d\": [1.53, 1.61, 4.73, 5.69, 1.48, 11.77], \"ry\": -0.35}, {\"category\": \"Car\", \"angle\": -0.66, \"box_2d\": [714.47, 179.8, 886.14, 249.89], \"box_3d\": [1.4, 1.56, 3.48, 4.21, 1.57, 16.13], \"ry\": -0.41}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [443.39, 191.54, 525.24, 239.61], \"box_3d\": [1.27, 1.66, 4.06, -4.02, 1.89, 22.33], \"ry\": -1.96}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [346.03, 191.56, 399.53, 239.41], \"box_3d\": [1.48, 1.67, 4.5, -8.58, 2.19, 25.92], \"ry\": -1.9}]\n```" + } + ] + }, + { + "id": 195, + "data_source": "Mono3DRefer", + "scene_name": "000426", + "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\": [561.98, 171.7, 598.29, 199.34], \"box_3d\": [1.53, 1.59, 3.64, -1.82, 1.5, 42.27], \"ry\": -1.76}, {\"category\": \"Car\", \"angle\": 1.32, \"box_2d\": [163.01, 175.67, 252.5, 233.64], \"box_3d\": [1.46, 1.42, 3.12, -11.18, 1.56, 19.9], \"ry\": 0.81}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [485.07, 168.49, 508.46, 190.68], \"box_3d\": [1.63, 1.6, 3.73, -8.67, 1.33, 55.32], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 196, + "data_source": "Mono3DRefer", + "scene_name": "000431", + "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\": [252.46, 192.48, 460.47, 303.07], \"box_3d\": [1.37, 1.79, 4.16, -3.82, 1.73, 11.56], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 0.3, \"box_2d\": [358.54, 180.26, 478.34, 219.94], \"box_3d\": [1.56, 1.71, 4.5, -7.95, 1.89, 30.03], \"ry\": 0.05}]\n```" + } + ] + }, + { + "id": 197, + "data_source": "Mono3DRefer", + "scene_name": "000434", + "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\": [523.39, 181.74, 563.85, 210.43], \"box_3d\": [1.45, 1.77, 4.04, -3.58, 1.95, 39.17], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 198, + "data_source": "Mono3DRefer", + "scene_name": "000437", + "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\": [578.12, 174.63, 602.09, 193.62], \"box_3d\": [1.26, 1.6, 3.56, -1.41, 1.4, 50.19], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [550.59, 172.0, 571.91, 189.09], \"box_3d\": [1.37, 1.63, 3.57, -4.08, 1.33, 60.48], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 199, + "data_source": "Mono3DRefer", + "scene_name": "000439", + "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\": -1.62, \"box_2d\": [653.06, 176.52, 682.68, 201.9], \"box_3d\": [1.44, 1.58, 3.28, 3.74, 1.22, 42.4], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [409.81, 179.85, 461.2, 207.65], \"box_3d\": [1.49, 1.58, 3.84, -9.72, 1.48, 40.84], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [721.71, 172.95, 817.57, 256.37], \"box_3d\": [1.54, 1.57, 3.52, 3.31, 1.4, 14.88], \"ry\": -1.45}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [695.16, 175.52, 776.14, 235.1], \"box_3d\": [1.5, 1.63, 3.57, 3.53, 1.38, 19.82], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [677.99, 177.3, 731.55, 221.49], \"box_3d\": [1.47, 1.59, 3.64, 3.55, 1.37, 25.75], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [666.4, 177.18, 714.19, 214.23], \"box_3d\": [1.49, 1.74, 4.09, 3.66, 1.36, 30.98], \"ry\": -1.53}]\n```" + } + ] + }, + { + "id": 200, + "data_source": "Mono3DRefer", + "scene_name": "000442", + "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\": -3.13, \"box_2d\": [0.0, 159.03, 494.32, 360.76], \"box_3d\": [1.79, 1.69, 4.72, -3.88, 1.67, 8.06], \"ry\": 2.72}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [1075.07, 174.07, 1241.0, 335.66], \"box_3d\": [1.57, 1.65, 3.35, 6.74, 1.59, 8.54], \"ry\": -1.15}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [632.66, 179.46, 760.83, 250.58], \"box_3d\": [1.43, 1.7, 3.95, 2.1, 1.6, 16.8], \"ry\": 2.04}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [1006.86, 174.37, 1093.85, 237.63], \"box_3d\": [1.51, 1.6, 3.24, 11.44, 1.56, 18.98], \"ry\": -1.13}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [773.24, 171.55, 840.29, 215.18], \"box_3d\": [1.54, 1.68, 3.79, 7.55, 1.52, 27.6], \"ry\": 2.05}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [807.41, 169.93, 857.61, 205.23], \"box_3d\": [1.49, 1.52, 3.35, 9.98, 1.39, 32.34], \"ry\": 2.06}]\n```" + } + ] + }, + { + "id": 201, + "data_source": "Mono3DRefer", + "scene_name": "000444", + "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\": [479.11, 183.1, 535.42, 233.56], \"box_3d\": [1.41, 1.59, 4.47, -3.25, 1.75, 22.93], \"ry\": 1.45}]\n```" + } + ] + }, + { + "id": 202, + "data_source": "Mono3DRefer", + "scene_name": "000445", + "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\": [42.54, 190.42, 309.53, 334.07], \"box_3d\": [1.36, 1.57, 3.73, -5.43, 1.59, 8.76], \"ry\": -2.47}, {\"category\": \"Car\", \"angle\": 1.1, \"box_2d\": [277.41, 173.84, 415.74, 245.98], \"box_3d\": [1.48, 1.57, 3.48, -6.16, 1.53, 16.58], \"ry\": 0.75}, {\"category\": \"Car\", \"angle\": -1.38, \"box_2d\": [423.22, 186.1, 547.54, 261.21], \"box_3d\": [1.25, 1.74, 3.66, -2.36, 1.54, 14.27], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [482.21, 178.1, 553.59, 237.84], \"box_3d\": [1.46, 1.59, 3.65, -2.46, 1.61, 19.64], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 0.92, \"box_2d\": [406.03, 178.47, 495.72, 218.4], \"box_3d\": [1.37, 1.52, 3.3, -5.92, 1.6, 26.52], \"ry\": 0.71}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [736.14, 178.4, 950.04, 311.52], \"box_3d\": [1.46, 1.72, 3.95, 2.88, 1.55, 9.97], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [696.96, 181.57, 821.53, 257.73], \"box_3d\": [1.32, 1.7, 4.04, 2.84, 1.51, 14.77], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [680.79, 168.11, 755.6, 227.63], \"box_3d\": [1.56, 1.48, 3.36, 2.99, 1.46, 20.77], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [642.92, 172.48, 678.59, 199.68], \"box_3d\": [1.38, 1.55, 3.6, 2.66, 1.39, 38.81], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [591.88, 171.81, 629.99, 206.58], \"box_3d\": [1.52, 1.67, 3.61, 0.03, 1.5, 33.62], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [191.08, 174.86, 278.16, 211.39], \"box_3d\": [1.36, 1.54, 3.57, -15.0, 1.46, 28.95], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [589.09, 173.69, 649.29, 222.7], \"box_3d\": [1.36, 1.69, 3.38, 0.17, 1.42, 22.06], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 203, + "data_source": "Mono3DRefer", + "scene_name": "000446", + "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\": [279.8, 187.2, 457.86, 290.93], \"box_3d\": [1.42, 1.75, 3.45, -3.83, 1.68, 11.93], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 204, + "data_source": "Mono3DRefer", + "scene_name": "000456", + "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\": [430.72, 183.25, 527.97, 265.85], \"box_3d\": [1.97, 1.87, 4.53, -3.48, 2.28, 19.82], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [529.14, 190.0, 561.33, 220.42], \"box_3d\": [1.7, 1.53, 3.82, -3.92, 2.78, 43.91], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 205, + "data_source": "Mono3DRefer", + "scene_name": "000458", + "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\": [568.92, 187.9, 601.65, 218.78], \"box_3d\": [1.43, 1.55, 3.91, -1.24, 2.22, 36.66], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 2.58, \"box_2d\": [833.36, 179.28, 1241.0, 320.04], \"box_3d\": [1.51, 1.65, 4.21, 5.08, 1.61, 8.89], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": -0.36, \"box_2d\": [799.64, 182.05, 1110.83, 284.44], \"box_3d\": [1.48, 1.49, 4.16, 5.22, 1.65, 11.39], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": -0.14, \"box_2d\": [725.97, 183.08, 909.52, 244.22], \"box_3d\": [1.51, 1.69, 4.42, 5.29, 1.8, 19.0], \"ry\": 0.12}, {\"category\": \"Car\", \"angle\": 2.82, \"box_2d\": [778.11, 181.42, 1009.84, 269.98], \"box_3d\": [1.56, 1.5, 3.8, 5.23, 1.74, 13.73], \"ry\": -3.11}]\n```" + } + ] + }, + { + "id": 206, + "data_source": "Mono3DRefer", + "scene_name": "000460", + "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\": -0.49, \"box_2d\": [848.06, 166.46, 1169.62, 266.92], \"box_3d\": [1.31, 1.61, 3.78, 5.7, 1.14, 10.37], \"ry\": 0.01}]\n```" + } + ] + }, + { + "id": 207, + "data_source": "Mono3DRefer", + "scene_name": "000466", + "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\": 2.18, \"box_2d\": [0.0, 202.01, 78.4, 256.99], \"box_3d\": [1.42, 1.55, 3.45, -17.79, 2.35, 21.42], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": -1.13, \"box_2d\": [168.27, 197.83, 248.95, 232.61], \"box_3d\": [1.42, 1.7, 4.14, -18.84, 2.66, 34.01], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.07, \"box_2d\": [103.56, 195.13, 191.97, 232.11], \"box_3d\": [1.52, 1.71, 4.11, -21.57, 2.62, 33.81], \"ry\": -1.64}]\n```" + } + ] + }, + { + "id": 208, + "data_source": "Mono3DRefer", + "scene_name": "000468", + "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\": [545.04, 171.56, 725.68, 345.64], \"box_3d\": [1.66, 1.73, 3.05, 0.19, 1.68, 8.49], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.14, \"box_2d\": [49.02, 188.06, 216.81, 258.63], \"box_3d\": [1.44, 1.59, 3.62, -11.17, 1.83, 17.13], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [357.74, 179.41, 416.33, 212.69], \"box_3d\": [1.6, 1.75, 4.0, -11.43, 1.95, 37.15], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [428.4, 177.97, 465.31, 201.19], \"box_3d\": [1.58, 1.63, 4.31, -11.65, 1.96, 51.67], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 209, + "data_source": "Mono3DRefer", + "scene_name": "000472", + "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\": [415.93, 191.38, 542.17, 274.1], \"box_3d\": [1.33, 1.71, 4.09, -2.48, 1.74, 14.37], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [668.78, 173.34, 724.4, 214.95], \"box_3d\": [1.49, 1.56, 4.34, 3.28, 1.54, 28.3], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [501.66, 182.97, 566.24, 232.28], \"box_3d\": [1.42, 1.53, 4.12, -2.41, 1.77, 23.34], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [705.32, 175.05, 811.89, 257.62], \"box_3d\": [1.59, 1.59, 3.89, 3.11, 1.67, 16.02], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [650.77, 175.51, 678.32, 198.63], \"box_3d\": [1.38, 1.64, 3.51, 3.41, 1.56, 45.16], \"ry\": -1.48}]\n```" + } + ] + }, + { + "id": 210, + "data_source": "Mono3DRefer", + "scene_name": "000473", + "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\": [589.61, 176.67, 629.93, 204.43], \"box_3d\": [1.5, 1.7, 3.77, 0.01, 1.74, 41.31], \"ry\": 1.74}]\n```" + } + ] + }, + { + "id": 211, + "data_source": "Mono3DRefer", + "scene_name": "000474", + "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\": -2.42, \"box_2d\": [0.0, 191.88, 126.19, 334.21], \"box_3d\": [1.47, 1.74, 4.26, -8.4, 1.73, 8.36], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 0.23, \"box_2d\": [476.61, 182.36, 540.64, 201.35], \"box_3d\": [1.36, 1.68, 4.49, -7.62, 2.1, 54.26], \"ry\": 0.09}]\n```" + } + ] + }, + { + "id": 212, + "data_source": "Mono3DRefer", + "scene_name": "000475", + "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\": 2.36, \"box_2d\": [0.0, 219.52, 124.24, 374.0], \"box_3d\": [1.48, 1.5, 3.58, -5.71, 1.94, 5.48], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.17, \"box_2d\": [778.02, 179.39, 1039.21, 326.67], \"box_3d\": [1.46, 1.61, 3.61, 3.39, 1.55, 9.05], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [236.28, 189.45, 408.55, 278.63], \"box_3d\": [1.48, 1.56, 4.09, -5.61, 1.85, 14.55], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [712.17, 178.42, 848.83, 261.79], \"box_3d\": [1.46, 1.67, 3.89, 3.27, 1.59, 14.79], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [440.52, 177.48, 499.12, 218.69], \"box_3d\": [1.56, 1.63, 3.62, -5.68, 1.77, 29.44], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [672.89, 174.42, 744.46, 225.55], \"box_3d\": [1.51, 1.6, 3.54, 3.07, 1.58, 23.33], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [663.39, 174.1, 718.81, 215.12], \"box_3d\": [1.53, 1.5, 3.34, 3.16, 1.6, 28.92], \"ry\": -1.68}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [471.97, 178.16, 513.17, 210.58], \"box_3d\": [1.46, 1.43, 3.52, -5.6, 1.72, 34.51], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 213, + "data_source": "Mono3DRefer", + "scene_name": "000476", + "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\": [523.34, 179.86, 576.42, 215.46], \"box_3d\": [1.5, 1.7, 3.77, -2.69, 1.83, 32.66], \"ry\": 1.68}]\n```" + } + ] + }, + { + "id": 214, + "data_source": "Mono3DRefer", + "scene_name": "000479", + "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\": [589.93, 174.78, 612.54, 196.55], \"box_3d\": [1.66, 1.73, 3.05, -0.7, 1.84, 57.25], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.11, \"box_2d\": [137.13, 189.29, 249.89, 241.12], \"box_3d\": [1.6, 1.77, 3.58, -14.29, 2.2, 24.92], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [364.97, 181.32, 408.12, 204.97], \"box_3d\": [1.52, 1.76, 3.66, -15.14, 2.11, 48.98], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 215, + "data_source": "Mono3DRefer", + "scene_name": "000480", + "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\": 2.06, \"box_2d\": [196.1, 190.3, 289.39, 235.77], \"box_3d\": [1.6, 1.77, 3.58, -14.3, 2.32, 28.23], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [590.44, 177.5, 613.13, 199.35], \"box_3d\": [1.66, 1.73, 3.05, -0.65, 2.05, 57.03], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 216, + "data_source": "Mono3DRefer", + "scene_name": "000481", + "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\": [148.13, 189.8, 257.18, 236.2], \"box_3d\": [1.56, 1.7, 4.35, -15.47, 2.25, 27.62], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [343.11, 182.31, 397.82, 212.66], \"box_3d\": [1.6, 1.79, 3.91, -13.47, 2.15, 40.7], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 217, + "data_source": "Mono3DRefer", + "scene_name": "000482", + "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\": [741.97, 183.19, 861.27, 265.09], \"box_3d\": [1.42, 1.45, 3.2, 3.63, 1.64, 14.33], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -2.07, \"box_2d\": [930.97, 181.98, 1104.68, 267.35], \"box_3d\": [1.43, 1.48, 3.25, 7.64, 1.62, 13.92], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 218, + "data_source": "Mono3DRefer", + "scene_name": "000483", + "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, 188.34, 180.35, 254.08], \"box_3d\": [1.45, 1.5, 4.53, -13.6, 1.89, 18.88], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [618.28, 175.23, 687.01, 239.9], \"box_3d\": [1.56, 1.65, 3.69, 1.13, 1.64, 19.37], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.17, \"box_2d\": [819.32, 173.48, 1055.85, 300.28], \"box_3d\": [1.39, 1.61, 3.65, 4.5, 1.41, 9.76], \"ry\": -0.75}, {\"category\": \"Car\", \"angle\": 2.14, \"box_2d\": [23.58, 191.67, 335.55, 316.88], \"box_3d\": [1.45, 1.84, 4.59, -6.2, 1.78, 11.11], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [521.48, 171.38, 571.92, 208.69], \"box_3d\": [1.76, 1.58, 3.68, -3.13, 1.71, 36.05], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": 2.16, \"box_2d\": [186.3, 183.78, 335.75, 248.62], \"box_3d\": [1.56, 1.62, 4.19, -9.46, 1.89, 19.87], \"ry\": 1.72}, {\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [411.36, 182.32, 488.84, 216.78], \"box_3d\": [1.42, 1.67, 4.53, -7.15, 1.87, 32.6], \"ry\": 1.78}, {\"category\": \"Car\", \"angle\": -1.19, \"box_2d\": [673.08, 170.65, 719.89, 196.26], \"box_3d\": [1.54, 1.63, 3.74, 5.46, 1.43, 45.4], \"ry\": -1.07}]\n```" + } + ] + }, + { + "id": 219, + "data_source": "Mono3DRefer", + "scene_name": "000484", + "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\": [598.39, 180.1, 621.78, 202.36], \"box_3d\": [1.54, 1.63, 3.67, -0.03, 2.08, 52.48], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -2.02, \"box_2d\": [799.97, 160.37, 1241.0, 374.0], \"box_3d\": [1.7, 1.62, 3.76, 2.77, 1.66, 5.6], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [684.17, 187.11, 773.82, 255.01], \"box_3d\": [1.4, 1.53, 3.56, 2.68, 1.77, 17.19], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [671.57, 181.3, 743.12, 235.02], \"box_3d\": [1.49, 1.6, 3.81, 2.87, 1.76, 22.25], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [658.55, 180.71, 700.88, 216.04], \"box_3d\": [1.48, 1.47, 3.7, 3.05, 1.84, 32.46], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [646.88, 178.98, 686.81, 212.98], \"box_3d\": [1.64, 1.64, 3.89, 2.84, 1.97, 37.09], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 220, + "data_source": "Mono3DRefer", + "scene_name": "000489", + "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\": 2.06, \"box_2d\": [191.64, 193.69, 289.86, 234.81], \"box_3d\": [1.46, 1.86, 4.01, -14.84, 2.35, 29.18], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 221, + "data_source": "Mono3DRefer", + "scene_name": "000491", + "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\": [606.74, 175.5, 647.57, 216.5], \"box_3d\": [1.57, 1.56, 2.62, 0.67, 1.7, 29.25], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [360.03, 188.7, 494.13, 267.15], \"box_3d\": [1.43, 1.68, 4.19, -3.86, 1.81, 15.78], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [452.67, 181.72, 523.33, 234.02], \"box_3d\": [1.46, 1.59, 4.27, -3.76, 1.75, 22.62], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [503.1, 178.25, 549.42, 209.29], \"box_3d\": [1.38, 1.62, 4.06, -3.97, 1.65, 34.48], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [536.83, 171.21, 566.47, 193.9], \"box_3d\": [1.49, 1.53, 3.88, -4.02, 1.41, 49.86], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 222, + "data_source": "Mono3DRefer", + "scene_name": "000494", + "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\": [569.33, 180.88, 613.91, 225.02], \"box_3d\": [1.65, 1.67, 3.64, -0.78, 1.98, 29.11], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 2.2, \"box_2d\": [0.0, 196.14, 197.44, 318.81], \"box_3d\": [1.4, 1.68, 4.45, -8.35, 1.81, 10.84], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [277.8, 187.26, 381.92, 243.5], \"box_3d\": [1.45, 1.62, 3.77, -8.14, 1.9, 21.21], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [372.63, 185.0, 436.72, 225.33], \"box_3d\": [1.53, 1.46, 4.18, -8.55, 2.06, 30.24], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [428.21, 183.03, 466.8, 213.09], \"box_3d\": [1.59, 1.57, 3.39, -9.09, 2.17, 40.46], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [456.59, 185.8, 492.19, 207.04], \"box_3d\": [1.35, 1.63, 4.1, -9.27, 2.26, 49.47], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 223, + "data_source": "Mono3DRefer", + "scene_name": "000497", + "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\": -2.36, \"box_2d\": [967.57, 190.81, 1241.0, 374.0], \"box_3d\": [1.53, 1.65, 4.37, 3.53, 1.65, 3.27], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [167.9, 162.91, 421.8, 327.79], \"box_3d\": [1.74, 1.65, 4.18, -3.96, 1.67, 9.79], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [432.08, 171.21, 549.68, 251.14], \"box_3d\": [1.64, 1.45, 3.48, -2.66, 1.62, 16.62], \"ry\": 1.79}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [782.31, 172.8, 979.41, 307.01], \"box_3d\": [1.61, 1.68, 4.04, 3.69, 1.63, 10.71], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [757.95, 174.3, 850.33, 254.04], \"box_3d\": [1.52, 1.58, 4.28, 4.13, 1.58, 16.03], \"ry\": -1.4}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [623.7, 171.8, 703.33, 216.31], \"box_3d\": [1.54, 1.64, 4.08, 2.07, 1.53, 27.2], \"ry\": 2.01}]\n```" + } + ] + }, + { + "id": 224, + "data_source": "Mono3DRefer", + "scene_name": "000505", + "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\": -0.25, \"box_2d\": [715.44, 167.9, 860.58, 213.12], \"box_3d\": [1.41, 1.63, 4.42, 6.03, 1.02, 23.69], \"ry\": -0.0}, {\"category\": \"Car\", \"angle\": -0.83, \"box_2d\": [1057.74, 172.67, 1223.0, 369.0], \"box_3d\": [1.31, 1.61, 3.78, 5.61, 1.25, 5.07], \"ry\": -0.02}]\n```" + } + ] + }, + { + "id": 225, + "data_source": "Mono3DRefer", + "scene_name": "000507", + "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, 204.34, 451.37, 374.0], \"box_3d\": [1.56, 1.56, 3.6, -2.4, 1.83, 4.69], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [251.4, 193.39, 432.89, 340.06], \"box_3d\": [1.7, 1.43, 3.2, -3.67, 2.03, 10.31], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.51, \"box_2d\": [498.13, 182.5, 522.36, 205.1], \"box_3d\": [1.68, 1.63, 3.9, -7.85, 2.45, 56.46], \"ry\": 1.37}]\n```" + } + ] + }, + { + "id": 226, + "data_source": "Mono3DRefer", + "scene_name": "000508", + "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\": [592.02, 175.19, 626.32, 208.22], \"box_3d\": [1.66, 1.73, 3.05, -0.07, 1.81, 38.24], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 227, + "data_source": "Mono3DRefer", + "scene_name": "000511", + "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\": 2.18, \"box_2d\": [0.0, 186.41, 80.43, 227.94], \"box_3d\": [1.48, 1.44, 3.59, -22.59, 2.03, 28.06], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 2.11, \"box_2d\": [74.93, 186.07, 158.59, 219.56], \"box_3d\": [1.42, 1.68, 3.38, -22.71, 2.05, 33.31], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 2.11, \"box_2d\": [141.58, 184.83, 215.08, 212.93], \"box_3d\": [1.38, 1.52, 4.0, -22.93, 2.04, 38.43], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [205.21, 179.74, 256.12, 206.75], \"box_3d\": [1.57, 1.47, 3.35, -23.19, 2.01, 44.16], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [242.21, 182.35, 285.78, 204.55], \"box_3d\": [1.43, 1.48, 3.33, -23.43, 2.09, 48.92], \"ry\": 1.52}]\n```" + } + ] + }, + { + "id": 228, + "data_source": "Mono3DRefer", + "scene_name": "000512", + "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\": [353.8, 184.03, 410.21, 216.95], \"box_3d\": [1.84, 2.04, 4.33, -13.69, 2.54, 43.52], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 229, + "data_source": "Mono3DRefer", + "scene_name": "000514", + "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\": [704.92, 175.38, 733.38, 203.2], \"box_3d\": [1.55, 1.57, 3.64, 6.41, 1.72, 42.44], \"ry\": -1.41}]\n```" + } + ] + }, + { + "id": 230, + "data_source": "Mono3DRefer", + "scene_name": "000523", + "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\": -2.88, \"box_2d\": [308.91, 183.49, 444.19, 227.96], \"box_3d\": [1.47, 1.74, 4.26, -8.25, 1.87, 25.65], \"ry\": 3.09}]\n```" + } + ] + }, + { + "id": 231, + "data_source": "Mono3DRefer", + "scene_name": "000526", + "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\": 1.7, \"box_2d\": [546.05, 173.72, 575.08, 192.97], \"box_3d\": [1.42, 1.78, 3.62, -3.1, 0.84, 55.55], \"ry\": 1.64}]\n```" + } + ] + }, + { + "id": 232, + "data_source": "Mono3DRefer", + "scene_name": "000528", + "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\": [921.22, 188.3, 1241.0, 374.0], \"box_3d\": [1.53, 1.62, 3.77, 2.99, 1.63, 3.21], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [478.15, 177.88, 559.52, 233.29], \"box_3d\": [1.76, 1.77, 4.41, -3.1, 1.95, 25.19], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [543.72, 185.08, 602.33, 221.16], \"box_3d\": [1.48, 1.65, 4.4, -1.62, 2.05, 32.55], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [626.07, 184.14, 658.56, 206.53], \"box_3d\": [1.42, 1.66, 3.64, 2.19, 2.2, 48.61], \"ry\": 1.76}]\n```" + } + ] + }, + { + "id": 233, + "data_source": "Mono3DRefer", + "scene_name": "000529", + "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\": -2.57, \"box_2d\": [0.0, 192.78, 257.63, 288.66], \"box_3d\": [1.49, 1.64, 3.7, -8.43, 1.87, 12.55], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -2.68, \"box_2d\": [103.74, 190.33, 334.71, 269.95], \"box_3d\": [1.52, 1.55, 4.02, -8.16, 1.92, 15.21], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -2.83, \"box_2d\": [325.05, 173.77, 454.53, 227.77], \"box_3d\": [1.9, 1.78, 4.25, -8.15, 1.96, 26.83], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.16, \"box_2d\": [455.98, 181.54, 519.21, 206.87], \"box_3d\": [1.52, 1.64, 3.7, -7.7, 2.09, 45.42], \"ry\": -0.01}]\n```" + } + ] + }, + { + "id": 234, + "data_source": "Mono3DRefer", + "scene_name": "000530", + "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\": [536.71, 161.8, 580.32, 206.77], \"box_3d\": [1.91, 1.65, 4.4, -2.21, 1.11, 32.51], \"ry\": -1.71}]\n```" + } + ] + }, + { + "id": 235, + "data_source": "Mono3DRefer", + "scene_name": "000531", + "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\": [938.56, 163.43, 1109.63, 242.89], \"box_3d\": [1.64, 1.73, 4.43, 9.59, 1.48, 17.24], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -2.13, \"box_2d\": [1047.29, 174.4, 1241.0, 243.93], \"box_3d\": [1.38, 1.8, 4.49, 12.24, 1.44, 16.7], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -0.81, \"box_2d\": [0.0, 192.28, 112.47, 260.5], \"box_3d\": [1.53, 1.61, 4.73, -15.0, 2.06, 17.95], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.18, \"box_2d\": [253.94, 187.21, 409.48, 263.18], \"box_3d\": [1.48, 1.71, 4.65, -6.32, 1.85, 16.91], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -0.98, \"box_2d\": [111.11, 165.36, 302.2, 263.49], \"box_3d\": [2.04, 1.66, 4.62, -9.46, 1.91, 17.37], \"ry\": -1.47}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [502.21, 173.05, 570.88, 221.75], \"box_3d\": [1.42, 1.64, 3.95, -2.32, 1.46, 23.27], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [851.31, 173.45, 1004.61, 248.3], \"box_3d\": [1.51, 1.72, 4.5, 7.18, 1.55, 16.93], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [675.33, 164.04, 716.83, 202.85], \"box_3d\": [1.7, 1.8, 4.5, 3.98, 1.34, 34.08], \"ry\": -1.47}]\n```" + } + ] + }, + { + "id": 236, + "data_source": "Mono3DRefer", + "scene_name": "000537", + "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\": [351.98, 189.16, 399.44, 215.15], \"box_3d\": [1.56, 1.76, 4.18, -15.32, 2.66, 47.31], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 237, + "data_source": "Mono3DRefer", + "scene_name": "000539", + "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\": 2.28, \"box_2d\": [0.0, 192.86, 44.18, 237.7], \"box_3d\": [1.43, 1.81, 4.16, -20.83, 2.12, 23.3], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.14, \"box_2d\": [58.33, 187.39, 164.91, 225.94], \"box_3d\": [1.47, 1.67, 4.31, -21.13, 2.12, 30.77], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [153.65, 185.68, 222.96, 217.59], \"box_3d\": [1.48, 1.44, 3.59, -21.1, 2.14, 36.2], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [213.83, 183.87, 273.67, 210.15], \"box_3d\": [1.42, 1.68, 3.38, -21.11, 2.08, 41.67], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [254.58, 184.16, 309.72, 207.04], \"box_3d\": [1.38, 1.52, 4.0, -21.14, 2.13, 46.63], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [299.62, 180.19, 339.87, 202.81], \"box_3d\": [1.57, 1.47, 3.35, -21.05, 2.12, 52.38], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [325.83, 180.98, 360.01, 199.79], \"box_3d\": [1.43, 1.48, 3.33, -21.16, 2.08, 57.21], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 238, + "data_source": "Mono3DRefer", + "scene_name": "000541", + "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\": -1.12, \"box_2d\": [0.0, 208.67, 404.83, 374.0], \"box_3d\": [1.33, 1.71, 4.09, -2.95, 1.69, 5.36], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [660.91, 182.66, 746.6, 246.39], \"box_3d\": [1.49, 1.56, 4.34, 2.35, 1.77, 19.39], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.39, \"box_2d\": [380.4, 190.12, 500.34, 278.66], \"box_3d\": [1.42, 1.53, 4.12, -3.23, 1.8, 14.27], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.92, \"box_2d\": [746.9, 177.32, 1094.39, 374.0], \"box_3d\": [1.59, 1.59, 3.89, 2.5, 1.66, 6.98], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [629.7, 183.36, 664.27, 212.76], \"box_3d\": [1.38, 1.64, 3.51, 1.86, 1.92, 36.28], \"ry\": -1.5}]\n```" + } + ] + }, + { + "id": 239, + "data_source": "Mono3DRefer", + "scene_name": "000543", + "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\": [352.2, 188.74, 457.77, 256.25], \"box_3d\": [1.34, 1.64, 4.57, -4.83, 1.76, 17.43], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": -2.87, \"box_2d\": [0.0, 192.69, 187.99, 319.87], \"box_3d\": [1.52, 1.41, 4.22, -8.1, 1.83, 9.46], \"ry\": 2.72}]\n```" + } + ] + }, + { + "id": 240, + "data_source": "Mono3DRefer", + "scene_name": "000545", + "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\": 2.99, \"box_2d\": [1010.68, 171.8, 1241.0, 251.18], \"box_3d\": [1.54, 1.68, 4.16, 11.0, 1.55, 15.49], \"ry\": -2.68}, {\"category\": \"Car\", \"angle\": -0.8, \"box_2d\": [684.37, 195.55, 778.19, 231.22], \"box_3d\": [1.37, 1.56, 4.19, 5.33, 2.42, 31.65], \"ry\": -0.63}]\n```" + } + ] + }, + { + "id": 241, + "data_source": "Mono3DRefer", + "scene_name": "000546", + "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\": [1053.94, 193.9, 1218.11, 320.55], \"box_3d\": [1.4, 1.64, 3.73, 7.63, 1.75, 10.43], \"ry\": -0.88}]\n```" + } + ] + }, + { + "id": 242, + "data_source": "Mono3DRefer", + "scene_name": "000547", + "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\": [389.08, 188.81, 423.13, 207.42], \"box_3d\": [1.48, 1.79, 4.15, -17.54, 2.89, 62.18], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 243, + "data_source": "Mono3DRefer", + "scene_name": "000552", + "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\": [720.95, 166.2, 862.05, 268.42], \"box_3d\": [1.64, 1.69, 3.3, 3.16, 1.56, 13.37], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 244, + "data_source": "Mono3DRefer", + "scene_name": "000555", + "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\": [539.85, 174.69, 562.54, 194.92], \"box_3d\": [1.66, 1.73, 3.05, -5.0, 1.84, 61.47], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [98.97, 197.45, 195.16, 240.56], \"box_3d\": [1.44, 1.55, 3.53, -17.58, 2.43, 27.53], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 2.11, \"box_2d\": [218.58, 191.58, 273.49, 213.87], \"box_3d\": [1.52, 1.76, 4.2, -27.22, 2.97, 54.06], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 245, + "data_source": "Mono3DRefer", + "scene_name": "000556", + "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\": [522.6, 183.29, 565.12, 209.71], \"box_3d\": [1.37, 1.79, 4.16, -3.67, 1.97, 40.38], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 0.23, \"box_2d\": [420.43, 185.83, 504.81, 214.37], \"box_3d\": [1.56, 1.71, 4.5, -8.52, 2.34, 41.79], \"ry\": 0.03}]\n```" + } + ] + }, + { + "id": 246, + "data_source": "Mono3DRefer", + "scene_name": "000557", + "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\": -0.92, \"box_2d\": [0.0, 200.69, 362.1, 373.0], \"box_3d\": [1.47, 1.59, 4.03, -2.56, 1.62, 3.14], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.36, \"box_2d\": [372.13, 182.28, 505.63, 277.16], \"box_3d\": [1.41, 1.54, 3.36, -2.72, 1.44, 12.55], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [588.01, 170.74, 644.1, 221.89], \"box_3d\": [1.52, 1.67, 4.38, 0.44, 1.2, 23.83], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.47, \"box_2d\": [518.66, 171.36, 572.24, 217.14], \"box_3d\": [1.56, 1.59, 3.65, -2.02, 1.22, 26.59], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [482.96, 174.18, 524.46, 201.4], \"box_3d\": [1.42, 1.56, 4.16, -5.38, 1.04, 40.01], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 247, + "data_source": "Mono3DRefer", + "scene_name": "000559", + "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\": 1.66, \"box_2d\": [488.97, 169.38, 533.65, 209.69], \"box_3d\": [2.11, 2.04, 4.62, -4.97, 1.47, 40.31], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 248, + "data_source": "Mono3DRefer", + "scene_name": "000560", + "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\": [576.31, 176.63, 661.89, 259.06], \"box_3d\": [1.66, 1.73, 3.05, 0.14, 1.77, 16.24], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 249, + "data_source": "Mono3DRefer", + "scene_name": "000561", + "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\": [764.16, 184.92, 1027.68, 332.53], \"box_3d\": [1.42, 1.58, 3.48, 3.19, 1.59, 8.91], \"ry\": -1.67}]\n```" + } + ] + }, + { + "id": 250, + "data_source": "Mono3DRefer", + "scene_name": "000563", + "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\": [592.59, 187.57, 612.49, 205.87], \"box_3d\": [1.41, 1.59, 4.47, -0.65, 2.68, 60.4], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 251, + "data_source": "Mono3DRefer", + "scene_name": "000570", + "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\": [597.61, 184.36, 616.69, 201.68], \"box_3d\": [1.41, 1.59, 4.47, -0.27, 2.44, 62.85], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 252, + "data_source": "Mono3DRefer", + "scene_name": "000572", + "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\": -1.48, \"box_2d\": [507.19, 173.28, 542.38, 202.86], \"box_3d\": [1.78, 1.81, 4.32, -5.25, 1.05, 45.78], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [572.73, 173.45, 613.41, 210.54], \"box_3d\": [1.6, 1.76, 3.84, -0.7, 1.08, 33.27], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -0.82, \"box_2d\": [0.0, 196.0, 108.23, 312.26], \"box_3d\": [1.4, 1.66, 4.07, -8.42, 1.58, 8.8], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.17, \"box_2d\": [170.8, 193.97, 398.5, 315.06], \"box_3d\": [1.35, 1.57, 3.72, -4.4, 1.51, 10.34], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.13, \"box_2d\": [187.86, 184.25, 320.69, 248.8], \"box_3d\": [1.44, 1.58, 3.66, -8.87, 1.44, 18.3], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.3, \"box_2d\": [343.09, 180.82, 452.57, 247.16], \"box_3d\": [1.49, 1.64, 3.95, -5.24, 1.39, 18.34], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 253, + "data_source": "Mono3DRefer", + "scene_name": "000574", + "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\": 0.26, \"box_2d\": [439.27, 183.67, 517.5, 206.76], \"box_3d\": [1.36, 1.68, 4.49, -8.17, 2.06, 44.85], \"ry\": 0.08}]\n```" + } + ] + }, + { + "id": 254, + "data_source": "Mono3DRefer", + "scene_name": "000578", + "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\": [563.17, 188.0, 699.41, 275.26], \"box_3d\": [1.48, 1.51, 4.35, 0.57, 1.83, 15.0], \"ry\": 1.92}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [775.08, 182.7, 843.45, 236.48], \"box_3d\": [1.47, 1.68, 3.88, 6.16, 1.79, 22.17], \"ry\": 1.93}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [685.42, 187.7, 821.78, 280.68], \"box_3d\": [1.46, 1.74, 3.99, 2.86, 1.78, 13.9], \"ry\": 1.98}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [649.62, 186.08, 748.22, 245.27], \"box_3d\": [1.42, 1.68, 4.29, 2.56, 1.82, 20.18], \"ry\": 1.95}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [729.31, 184.68, 784.82, 223.82], \"box_3d\": [1.36, 1.4, 3.8, 5.67, 1.84, 27.72], \"ry\": 1.96}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [786.59, 180.42, 820.3, 208.08], \"box_3d\": [1.44, 1.65, 2.96, 10.6, 1.87, 39.55], \"ry\": 1.87}]\n```" + } + ] + }, + { + "id": 255, + "data_source": "Mono3DRefer", + "scene_name": "000580", + "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\": 0.3, \"box_2d\": [394.0, 183.47, 491.45, 211.96], \"box_3d\": [1.36, 1.68, 4.49, -8.44, 1.92, 36.47], \"ry\": 0.07}]\n```" + } + ] + }, + { + "id": 256, + "data_source": "Mono3DRefer", + "scene_name": "000581", + "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\": [551.47, 204.63, 587.49, 240.3], \"box_3d\": [1.5, 1.62, 4.19, -1.98, 3.15, 35.69], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 257, + "data_source": "Mono3DRefer", + "scene_name": "000583", + "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\": [575.79, 175.7, 616.78, 215.19], \"box_3d\": [1.66, 1.73, 3.05, -0.64, 1.81, 32.24], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [324.38, 189.89, 385.19, 221.21], \"box_3d\": [1.47, 1.71, 4.36, -13.28, 2.4, 37.72], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [409.88, 183.96, 445.68, 204.87], \"box_3d\": [1.52, 1.71, 3.89, -14.01, 2.39, 55.59], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 258, + "data_source": "Mono3DRefer", + "scene_name": "000584", + "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\": [440.25, 184.17, 503.63, 240.87], \"box_3d\": [1.41, 1.59, 4.47, -3.91, 1.76, 20.75], \"ry\": 1.43}]\n```" + } + ] + }, + { + "id": 259, + "data_source": "Mono3DRefer", + "scene_name": "000587", + "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\": [523.46, 168.78, 562.19, 206.68], \"box_3d\": [1.97, 1.87, 4.53, -3.7, 1.79, 40.17], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [555.82, 172.97, 576.55, 192.86], \"box_3d\": [1.7, 1.53, 3.82, -3.89, 1.74, 64.28], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 260, + "data_source": "Mono3DRefer", + "scene_name": "000593", + "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\": [568.97, 178.94, 613.85, 208.18], \"box_3d\": [1.44, 1.68, 4.39, -0.94, 1.77, 37.95], \"ry\": 1.7}]\n```" + } + ] + }, + { + "id": 261, + "data_source": "Mono3DRefer", + "scene_name": "000594", + "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\": [580.21, 175.92, 637.28, 229.88], \"box_3d\": [1.56, 1.65, 3.69, -0.06, 1.68, 22.91], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [367.47, 184.87, 423.69, 212.29], \"box_3d\": [1.29, 1.57, 4.38, -11.03, 1.93, 37.29], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [459.14, 180.97, 487.82, 198.91], \"box_3d\": [1.4, 1.54, 3.67, -11.13, 2.07, 58.93], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -0.82, \"box_2d\": [636.22, 171.1, 678.9, 189.77], \"box_3d\": [1.53, 1.57, 3.54, 4.01, 1.39, 60.75], \"ry\": -0.75}]\n```" + } + ] + }, + { + "id": 262, + "data_source": "Mono3DRefer", + "scene_name": "000597", + "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\": 1.0, \"box_2d\": [955.32, 144.92, 1241.0, 363.72], \"box_3d\": [1.5, 1.71, 4.44, 5.21, 1.32, 7.11], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [97.36, 189.13, 416.38, 374.0], \"box_3d\": [1.54, 1.63, 3.59, -3.56, 1.76, 7.96], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [383.91, 188.06, 507.57, 273.48], \"box_3d\": [1.42, 1.46, 3.63, -3.13, 1.75, 14.23], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [451.86, 182.45, 541.32, 244.31], \"box_3d\": [1.43, 1.66, 4.19, -2.92, 1.7, 19.16], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [690.88, 172.77, 766.05, 241.37], \"box_3d\": [1.58, 1.71, 3.75, 3.06, 1.6, 18.62], \"ry\": -1.38}, {\"category\": \"Car\", \"angle\": -0.47, \"box_2d\": [886.14, 158.67, 1225.88, 263.82], \"box_3d\": [1.49, 1.57, 4.26, 6.71, 1.32, 11.26], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [501.53, 175.36, 552.99, 220.31], \"box_3d\": [1.7, 1.5, 3.34, -3.32, 1.82, 29.12], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.29, \"box_2d\": [507.1, 175.74, 565.95, 209.36], \"box_3d\": [1.48, 1.71, 3.93, -3.57, 1.64, 34.14], \"ry\": 1.18}, {\"category\": \"Car\", \"angle\": -0.07, \"box_2d\": [382.77, 173.82, 445.23, 195.13], \"box_3d\": [1.6, 1.75, 4.63, -15.48, 1.7, 56.9], \"ry\": -0.34}, {\"category\": \"Car\", \"angle\": -1.29, \"box_2d\": [708.47, 175.19, 786.58, 226.53], \"box_3d\": [1.51, 1.58, 3.31, 4.41, 1.6, 23.02], \"ry\": -1.1}, {\"category\": \"Car\", \"angle\": -1.06, \"box_2d\": [750.52, 168.44, 831.91, 214.71], \"box_3d\": [1.61, 1.6, 3.11, 6.73, 1.47, 26.78], \"ry\": -0.82}, {\"category\": \"Car\", \"angle\": 2.36, \"box_2d\": [898.04, 161.36, 976.35, 187.78], \"box_3d\": [1.43, 1.7, 3.95, 18.38, 0.81, 40.6], \"ry\": 2.78}]\n```" + } + ] + }, + { + "id": 263, + "data_source": "Mono3DRefer", + "scene_name": "000599", + "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\": [604.37, 175.85, 631.18, 201.35], \"box_3d\": [1.54, 1.63, 3.67, 0.47, 1.76, 46.03], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [696.83, 177.84, 797.9, 251.74], \"box_3d\": [1.49, 1.57, 4.07, 3.0, 1.62, 16.7], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.99, \"box_2d\": [804.14, 175.4, 1231.47, 374.0], \"box_3d\": [1.57, 1.59, 3.75, 2.96, 1.62, 6.29], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 0.45, \"box_2d\": [137.06, 195.66, 296.82, 251.05], \"box_3d\": [1.52, 1.51, 3.94, -11.72, 2.24, 21.61], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": 0.69, \"box_2d\": [0.0, 197.46, 121.38, 254.25], \"box_3d\": [1.58, 1.56, 4.24, -17.36, 2.36, 21.67], \"ry\": 0.02}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [686.83, 177.04, 756.49, 234.29], \"box_3d\": [1.54, 1.51, 3.58, 3.19, 1.68, 21.42], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [658.74, 175.94, 699.96, 208.89], \"box_3d\": [1.49, 1.55, 3.93, 3.28, 1.66, 35.04], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 264, + "data_source": "Mono3DRefer", + "scene_name": "000603", + "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\": 1.96, \"box_2d\": [386.94, 180.98, 444.74, 211.53], \"box_3d\": [1.49, 1.58, 3.84, -9.95, 1.54, 37.46], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [736.21, 173.49, 850.12, 269.94], \"box_3d\": [1.54, 1.57, 3.52, 3.31, 1.43, 13.13], \"ry\": -1.44}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [701.98, 174.7, 793.54, 240.71], \"box_3d\": [1.5, 1.63, 3.57, 3.5, 1.37, 18.06], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [682.42, 176.25, 740.62, 223.78], \"box_3d\": [1.47, 1.59, 3.64, 3.52, 1.34, 23.98], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [667.8, 175.85, 718.99, 215.09], \"box_3d\": [1.49, 1.74, 4.09, 3.57, 1.31, 29.29], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [654.6, 176.88, 685.71, 203.37], \"box_3d\": [1.44, 1.58, 3.28, 3.72, 1.25, 40.74], \"ry\": -1.53}]\n```" + } + ] + }, + { + "id": 265, + "data_source": "Mono3DRefer", + "scene_name": "000606", + "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\": 0.26, \"box_2d\": [444.56, 183.98, 520.66, 206.46], \"box_3d\": [1.36, 1.68, 4.49, -8.12, 2.1, 46.04], \"ry\": 0.08}]\n```" + } + ] + }, + { + "id": 266, + "data_source": "Mono3DRefer", + "scene_name": "000607", + "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\": [581.72, 178.01, 621.54, 204.59], \"box_3d\": [1.44, 1.68, 4.39, -0.45, 1.75, 41.55], \"ry\": 1.7}]\n```" + } + ] + }, + { + "id": 267, + "data_source": "Mono3DRefer", + "scene_name": "000609", + "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\": [259.26, 191.38, 333.31, 227.58], \"box_3d\": [1.56, 1.76, 4.18, -15.07, 2.5, 34.82], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [354.19, 182.17, 400.02, 210.15], \"box_3d\": [1.95, 1.83, 4.89, -17.2, 2.65, 53.46], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 268, + "data_source": "Mono3DRefer", + "scene_name": "000610", + "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\": [399.15, 179.21, 460.91, 218.14], \"box_3d\": [1.56, 1.73, 4.21, -7.79, 1.86, 31.46], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 269, + "data_source": "Mono3DRefer", + "scene_name": "000611", + "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\": [599.75, 177.03, 628.94, 205.13], \"box_3d\": [1.66, 1.73, 3.05, 0.23, 1.94, 44.68], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [309.27, 187.45, 371.76, 220.72], \"box_3d\": [1.44, 1.63, 3.43, -12.7, 2.16, 34.1], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 270, + "data_source": "Mono3DRefer", + "scene_name": "000616", + "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\": [329.11, 176.02, 480.45, 292.44], \"box_3d\": [1.7, 1.53, 3.82, -3.42, 1.78, 12.56], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [479.04, 181.77, 539.19, 232.94], \"box_3d\": [1.5, 1.53, 3.38, -3.21, 1.8, 23.2], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [535.86, 174.16, 586.25, 205.62], \"box_3d\": [1.56, 1.56, 3.6, -2.54, 1.65, 37.75], \"ry\": 1.83}]\n```" + } + ] + }, + { + "id": 271, + "data_source": "Mono3DRefer", + "scene_name": "000621", + "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\": [195.63, 187.23, 436.96, 361.63], \"box_3d\": [1.7, 1.53, 3.82, -3.47, 1.91, 9.18], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [449.9, 191.29, 524.15, 253.96], \"box_3d\": [1.5, 1.53, 3.38, -3.32, 2.04, 19.78], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [523.19, 185.76, 578.93, 221.55], \"box_3d\": [1.56, 1.56, 3.6, -2.76, 2.19, 34.09], \"ry\": 1.81}]\n```" + } + ] + }, + { + "id": 272, + "data_source": "Mono3DRefer", + "scene_name": "000622", + "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\": [655.03, 180.12, 688.7, 206.76], \"box_3d\": [1.69, 1.88, 4.5, 4.19, 2.19, 48.51], \"ry\": 1.74}]\n```" + } + ] + }, + { + "id": 273, + "data_source": "Mono3DRefer", + "scene_name": "000623", + "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, 216.46, 151.24, 374.0], \"box_3d\": [1.4, 1.59, 3.89, -5.29, 1.81, 5.12], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [666.07, 181.12, 749.19, 241.39], \"box_3d\": [1.41, 1.64, 3.77, 2.43, 1.64, 19.06], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [503.81, 182.17, 540.99, 207.2], \"box_3d\": [1.43, 1.76, 3.97, -5.33, 2.02, 44.11], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [406.0, 187.3, 485.52, 239.32], \"box_3d\": [1.49, 1.61, 3.94, -5.25, 1.98, 23.34], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [442.93, 184.32, 507.01, 225.6], \"box_3d\": [1.48, 1.66, 3.9, -5.29, 1.95, 28.5], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [264.0, 202.62, 416.25, 282.37], \"box_3d\": [1.31, 1.58, 4.23, -5.54, 2.01, 15.26], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 274, + "data_source": "Mono3DRefer", + "scene_name": "000624", + "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\": [652.33, 172.82, 725.8, 242.85], \"box_3d\": [1.57, 1.56, 2.62, 1.83, 1.59, 17.66], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [422.71, 183.1, 525.17, 247.51], \"box_3d\": [1.49, 1.53, 3.88, -3.48, 1.78, 18.94], \"ry\": 1.69}]\n```" + } + ] + }, + { + "id": 275, + "data_source": "Mono3DRefer", + "scene_name": "000626", + "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\": [1031.41, 180.01, 1241.0, 374.0], \"box_3d\": [1.46, 1.41, 3.63, 3.15, 1.48, 2.41], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [752.11, 171.69, 911.06, 266.25], \"box_3d\": [1.42, 1.55, 4.36, 3.75, 1.43, 13.13], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [558.65, 180.69, 613.39, 218.59], \"box_3d\": [1.33, 1.71, 4.09, -0.88, 1.65, 27.8], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.47, \"box_2d\": [589.02, 177.91, 627.14, 207.54], \"box_3d\": [1.42, 1.53, 4.12, -0.08, 1.7, 37.06], \"ry\": -1.47}]\n```" + } + ] + }, + { + "id": 276, + "data_source": "Mono3DRefer", + "scene_name": "000627", + "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\": [409.2, 183.32, 484.47, 243.32], \"box_3d\": [1.47, 1.7, 4.39, -4.51, 1.78, 20.28], \"ry\": 1.43}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [11.5, 172.55, 405.84, 374.0], \"box_3d\": [1.68, 1.63, 3.9, -3.18, 1.71, 6.59], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.43, \"box_2d\": [356.48, 185.52, 390.23, 210.49], \"box_3d\": [1.65, 1.75, 3.39, -16.55, 2.54, 50.31], \"ry\": 1.11}]\n```" + } + ] + }, + { + "id": 277, + "data_source": "Mono3DRefer", + "scene_name": "000629", + "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\": [357.52, 191.36, 449.22, 267.39], \"box_3d\": [1.41, 1.59, 4.47, -4.63, 1.88, 16.51], \"ry\": 1.39}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [528.63, 183.09, 553.69, 203.09], \"box_3d\": [1.64, 1.69, 3.3, -5.94, 2.53, 61.84], \"ry\": -1.8}]\n```" + } + ] + }, + { + "id": 278, + "data_source": "Mono3DRefer", + "scene_name": "000631", + "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\": [653.29, 177.38, 691.06, 207.5], \"box_3d\": [1.42, 1.45, 3.2, 3.02, 1.66, 35.92], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.87, \"box_2d\": [739.84, 187.9, 904.88, 294.55], \"box_3d\": [1.38, 1.49, 3.32, 3.11, 1.64, 11.34], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [741.51, 176.79, 793.12, 210.28], \"box_3d\": [1.43, 1.48, 3.25, 7.07, 1.63, 32.84], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -2.0, \"box_2d\": [825.75, 179.05, 946.91, 237.9], \"box_3d\": [1.44, 1.56, 3.96, 7.42, 1.62, 19.88], \"ry\": -1.65}]\n```" + } + ] + }, + { + "id": 279, + "data_source": "Mono3DRefer", + "scene_name": "000634", + "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, 202.51, 230.67, 374.0], \"box_3d\": [1.56, 1.68, 3.91, -3.37, 1.74, 2.7], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [407.17, 187.36, 512.93, 250.91], \"box_3d\": [1.43, 1.75, 4.47, -3.86, 1.85, 19.14], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [527.8, 174.51, 556.55, 198.35], \"box_3d\": [1.39, 1.48, 3.76, -4.16, 1.51, 44.36], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 280, + "data_source": "Mono3DRefer", + "scene_name": "000636", + "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\": [584.81, 172.59, 604.8, 188.42], \"box_3d\": [1.26, 1.6, 3.56, -1.29, 1.26, 59.84], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 281, + "data_source": "Mono3DRefer", + "scene_name": "000637", + "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\": 2.2, \"box_2d\": [124.4, 180.65, 273.81, 242.02], \"box_3d\": [1.49, 1.58, 3.84, -11.05, 1.52, 19.54], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": -2.27, \"box_2d\": [1032.52, 184.78, 1223.0, 369.0], \"box_3d\": [1.54, 1.57, 3.52, 3.27, 1.58, 2.69], \"ry\": -1.45}, {\"category\": \"Car\", \"angle\": -1.98, \"box_2d\": [802.42, 176.8, 1122.02, 360.3], \"box_3d\": [1.5, 1.63, 3.57, 3.42, 1.47, 7.64], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [729.52, 177.63, 854.26, 267.35], \"box_3d\": [1.47, 1.59, 3.64, 3.4, 1.43, 13.59], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [694.51, 177.52, 783.16, 240.71], \"box_3d\": [1.49, 1.74, 4.09, 3.44, 1.43, 19.02], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [681.79, 175.68, 741.72, 220.92], \"box_3d\": [1.48, 1.71, 4.05, 3.75, 1.32, 25.5], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [663.44, 174.69, 707.8, 210.87], \"box_3d\": [1.44, 1.58, 3.28, 3.38, 1.21, 30.23], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [560.24, 171.85, 583.08, 188.69], \"box_3d\": [1.4, 1.54, 4.5, -2.86, 0.67, 61.98], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 282, + "data_source": "Mono3DRefer", + "scene_name": "000639", + "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\": 1.25, \"box_2d\": [734.4, 178.36, 958.26, 323.65], \"box_3d\": [1.53, 1.57, 3.87, 2.82, 1.62, 9.66], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [645.97, 179.68, 743.06, 243.31], \"box_3d\": [1.45, 1.61, 3.34, 2.01, 1.64, 18.4], \"ry\": -1.73}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [363.21, 188.67, 442.6, 241.35], \"box_3d\": [1.34, 1.69, 3.6, -5.98, 1.83, 21.06], \"ry\": -1.7}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [603.7, 169.86, 674.06, 222.18], \"box_3d\": [1.69, 1.59, 3.77, 0.9, 1.62, 25.44], \"ry\": -1.78}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [558.28, 181.17, 601.97, 211.75], \"box_3d\": [1.49, 1.71, 3.58, -1.63, 1.93, 37.49], \"ry\": -1.77}, {\"category\": \"Car\", \"angle\": -2.11, \"box_2d\": [836.46, 120.27, 1241.0, 374.0], \"box_3d\": [1.78, 1.59, 4.33, 2.83, 1.62, 4.41], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 283, + "data_source": "Mono3DRefer", + "scene_name": "000640", + "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\": -1.29, \"box_2d\": [265.37, 182.73, 500.15, 339.26], \"box_3d\": [1.47, 1.59, 4.03, -2.42, 1.5, 8.9], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [467.44, 175.52, 547.77, 234.95], \"box_3d\": [1.41, 1.54, 3.36, -2.39, 1.27, 18.85], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [594.9, 166.94, 642.7, 210.54], \"box_3d\": [1.52, 1.67, 4.38, 0.64, 1.01, 27.58], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [552.99, 164.31, 591.7, 199.03], \"box_3d\": [1.56, 1.59, 3.65, -1.35, 0.78, 34.5], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 284, + "data_source": "Mono3DRefer", + "scene_name": "000648", + "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\": [494.96, 183.76, 553.21, 224.84], \"box_3d\": [1.46, 1.75, 4.23, -3.34, 1.91, 28.46], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 285, + "data_source": "Mono3DRefer", + "scene_name": "000649", + "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, 196.31, 179.37, 312.09], \"box_3d\": [1.47, 1.63, 4.11, -9.02, 1.9, 11.56], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [187.18, 176.46, 326.58, 256.56], \"box_3d\": [1.8, 1.61, 3.83, -8.81, 1.91, 18.29], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [295.85, 187.72, 388.79, 237.39], \"box_3d\": [1.45, 1.45, 3.4, -8.61, 1.95, 23.36], \"ry\": 1.68}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [350.62, 178.47, 431.74, 227.48], \"box_3d\": [1.75, 1.71, 4.31, -8.47, 1.99, 28.19], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [433.63, 182.48, 484.57, 213.81], \"box_3d\": [1.53, 1.66, 4.01, -7.87, 2.05, 37.81], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [461.89, 181.56, 504.01, 208.04], \"box_3d\": [1.48, 1.6, 3.9, -7.54, 2.01, 42.99], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 286, + "data_source": "Mono3DRefer", + "scene_name": "000651", + "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\": [583.23, 179.47, 637.6, 223.67], \"box_3d\": [1.36, 1.69, 3.38, -0.03, 1.6, 24.26], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.12, \"box_2d\": [114.19, 182.87, 393.81, 308.47], \"box_3d\": [1.42, 1.61, 4.03, -5.07, 1.58, 10.01], \"ry\": -2.58}, {\"category\": \"Car\", \"angle\": -2.24, \"box_2d\": [365.5, 165.62, 509.69, 234.33], \"box_3d\": [1.76, 1.74, 4.16, -4.97, 1.6, 20.4], \"ry\": -2.48}, {\"category\": \"Car\", \"angle\": -2.12, \"box_2d\": [411.46, 163.87, 515.26, 224.57], \"box_3d\": [1.83, 1.64, 3.71, -4.92, 1.59, 23.72], \"ry\": -2.32}, {\"category\": \"Car\", \"angle\": -2.29, \"box_2d\": [467.58, 167.52, 547.57, 207.64], \"box_3d\": [1.8, 1.63, 3.79, -4.91, 1.59, 34.14], \"ry\": -2.43}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [586.25, 174.16, 620.6, 205.5], \"box_3d\": [1.52, 1.67, 3.61, -0.34, 1.61, 37.1], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 287, + "data_source": "Mono3DRefer", + "scene_name": "000656", + "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\": -1.49, \"box_2d\": [564.42, 166.78, 593.54, 190.19], \"box_3d\": [1.47, 1.59, 4.03, -1.43, 0.54, 47.61], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [615.84, 163.79, 639.01, 184.33], \"box_3d\": [1.52, 1.67, 4.38, 2.09, 0.2, 56.11], \"ry\": -1.51}]\n```" + } + ] + }, + { + "id": 288, + "data_source": "Mono3DRefer", + "scene_name": "000657", + "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\": [586.67, 173.35, 607.94, 189.95], \"box_3d\": [1.26, 1.6, 3.56, -1.0, 1.32, 57.16], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 289, + "data_source": "Mono3DRefer", + "scene_name": "000659", + "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\": [171.91, 186.92, 262.23, 225.78], \"box_3d\": [1.45, 1.74, 3.42, -16.03, 2.05, 29.55], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 290, + "data_source": "Mono3DRefer", + "scene_name": "000661", + "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\": [726.07, 183.15, 826.41, 254.12], \"box_3d\": [1.42, 1.45, 3.2, 3.6, 1.66, 16.29], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -2.02, \"box_2d\": [895.18, 181.05, 1037.74, 254.94], \"box_3d\": [1.43, 1.48, 3.25, 7.6, 1.62, 15.79], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 291, + "data_source": "Mono3DRefer", + "scene_name": "000662", + "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\": 1.53, \"box_2d\": [379.9, 194.61, 418.84, 230.55], \"box_3d\": [1.65, 1.75, 3.39, -10.75, 2.79, 36.58], \"ry\": 1.25}, {\"category\": \"Car\", \"angle\": 2.17, \"box_2d\": [0.0, 210.7, 353.24, 374.0], \"box_3d\": [1.47, 1.7, 4.39, -2.79, 1.75, 3.38], \"ry\": 1.52}]\n```" + } + ] + }, + { + "id": 292, + "data_source": "Mono3DRefer", + "scene_name": "000664", + "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\": -1.27, \"box_2d\": [270.69, 185.23, 454.8, 303.7], \"box_3d\": [1.41, 1.54, 3.36, -3.3, 1.48, 10.47], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [533.28, 172.04, 593.61, 227.07], \"box_3d\": [1.52, 1.67, 4.38, -1.15, 1.26, 22.33], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [516.03, 169.82, 563.22, 209.42], \"box_3d\": [1.56, 1.59, 3.65, -2.57, 1.1, 30.46], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [408.43, 176.71, 462.6, 210.83], \"box_3d\": [1.39, 1.46, 3.37, -7.17, 1.2, 31.27], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [589.1, 170.17, 620.7, 201.87], \"box_3d\": [1.48, 1.47, 2.23, 0.17, 0.95, 34.94], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 293, + "data_source": "Mono3DRefer", + "scene_name": "000668", + "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\": 3.03, \"box_2d\": [452.37, 162.7, 723.79, 270.96], \"box_3d\": [1.79, 1.69, 4.72, -0.48, 1.64, 13.35], \"ry\": 2.99}, {\"category\": \"Car\", \"angle\": -0.05, \"box_2d\": [0.0, 163.89, 29.07, 205.36], \"box_3d\": [1.48, 1.74, 3.92, -23.24, 1.17, 25.56], \"ry\": -0.78}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [1204.53, 175.64, 1241.0, 292.02], \"box_3d\": [1.57, 1.65, 3.35, 9.94, 1.61, 10.71], \"ry\": -0.85}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [837.18, 176.05, 957.38, 233.84], \"box_3d\": [1.43, 1.7, 3.95, 8.0, 1.54, 20.02], \"ry\": 2.34}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [983.05, 165.46, 1061.76, 207.13], \"box_3d\": [1.54, 1.68, 3.79, 16.38, 1.28, 28.64], \"ry\": 2.38}]\n```" + } + ] + }, + { + "id": 294, + "data_source": "Mono3DRefer", + "scene_name": "000672", + "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\": [0.0, 190.35, 398.47, 374.0], \"box_3d\": [1.6, 1.68, 3.94, -3.02, 1.76, 5.21], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [524.95, 182.98, 567.7, 215.64], \"box_3d\": [1.42, 1.66, 4.11, -2.99, 1.92, 34.15], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 295, + "data_source": "Mono3DRefer", + "scene_name": "000673", + "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\": [243.02, 181.5, 439.76, 304.0], \"box_3d\": [1.59, 1.63, 3.83, -4.04, 1.74, 11.41], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [660.55, 169.66, 694.81, 202.08], \"box_3d\": [1.62, 1.7, 3.29, 3.51, 1.49, 38.17], \"ry\": -1.5}]\n```" + } + ] + }, + { + "id": 296, + "data_source": "Mono3DRefer", + "scene_name": "000674", + "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\": [705.11, 176.13, 825.04, 258.62], \"box_3d\": [1.53, 1.5, 3.34, 3.11, 1.62, 15.25], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [373.04, 187.73, 453.86, 244.25], \"box_3d\": [1.46, 1.43, 3.52, -5.67, 1.92, 21.01], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [693.38, 178.53, 765.98, 232.01], \"box_3d\": [1.39, 1.45, 3.44, 3.31, 1.57, 20.72], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [276.19, 188.51, 412.89, 270.87], \"box_3d\": [1.56, 1.63, 3.62, -5.76, 1.94, 15.98], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [746.78, 177.72, 961.13, 314.74], \"box_3d\": [1.51, 1.6, 3.54, 3.02, 1.59, 9.83], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 297, + "data_source": "Mono3DRefer", + "scene_name": "000678", + "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\": [349.31, 189.3, 385.09, 217.88], \"box_3d\": [1.65, 1.75, 3.39, -15.11, 2.69, 44.73], \"ry\": 1.14}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [329.85, 190.87, 467.65, 291.03], \"box_3d\": [1.47, 1.7, 4.39, -3.75, 1.84, 13.4], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 298, + "data_source": "Mono3DRefer", + "scene_name": "000681", + "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\": 0.28, \"box_2d\": [421.83, 183.09, 507.27, 208.2], \"box_3d\": [1.36, 1.68, 4.49, -8.31, 1.97, 41.27], \"ry\": 0.08}]\n```" + } + ] + }, + { + "id": 299, + "data_source": "Mono3DRefer", + "scene_name": "000682", + "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\": [646.17, 188.33, 674.33, 211.09], \"box_3d\": [1.41, 1.58, 4.36, 3.34, 2.49, 48.88], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 300, + "data_source": "Mono3DRefer", + "scene_name": "000688", + "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\": 2.17, \"box_2d\": [52.92, 184.24, 162.46, 228.17], \"box_3d\": [1.58, 1.64, 3.88, -19.73, 2.05, 28.5], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.12, \"box_2d\": [143.47, 185.15, 235.33, 218.62], \"box_3d\": [1.43, 1.81, 4.16, -19.65, 2.03, 33.88], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [234.06, 183.82, 299.94, 211.52], \"box_3d\": [1.47, 1.67, 4.31, -19.61, 2.12, 41.4], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [289.52, 181.61, 335.67, 205.61], \"box_3d\": [1.48, 1.44, 3.59, -19.32, 2.06, 46.94], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [324.08, 182.9, 366.25, 203.63], \"box_3d\": [1.42, 1.68, 3.38, -19.15, 2.17, 52.23], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [379.56, 179.21, 410.83, 197.87], \"box_3d\": [1.57, 1.47, 3.35, -18.75, 2.14, 63.05], \"ry\": 1.66}]\n```" + } + ] + }, + { + "id": 301, + "data_source": "Mono3DRefer", + "scene_name": "000689", + "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\": 0.29, \"box_2d\": [401.63, 183.37, 495.78, 210.93], \"box_3d\": [1.36, 1.68, 4.49, -8.41, 1.94, 37.67], \"ry\": 0.07}]\n```" + } + ] + }, + { + "id": 302, + "data_source": "Mono3DRefer", + "scene_name": "000697", + "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\": [16.1, 190.5, 122.12, 230.21], \"box_3d\": [1.62, 1.6, 4.18, -24.52, 2.46, 32.85], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.19, \"box_2d\": [120.71, 190.41, 193.29, 219.97], \"box_3d\": [1.48, 1.35, 3.93, -24.92, 2.48, 39.78], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [168.72, 186.17, 232.04, 212.7], \"box_3d\": [1.5, 1.62, 4.08, -25.02, 2.34, 44.18], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [223.1, 184.95, 272.06, 210.16], \"box_3d\": [1.65, 1.57, 3.82, -25.19, 2.51, 50.24], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 303, + "data_source": "Mono3DRefer", + "scene_name": "000699", + "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\": -2.17, \"box_2d\": [750.43, 184.37, 940.84, 276.22], \"box_3d\": [1.42, 1.58, 3.48, 4.09, 1.64, 13.24], \"ry\": -1.87}]\n```" + } + ] + }, + { + "id": 304, + "data_source": "Mono3DRefer", + "scene_name": "000700", + "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\": 1.91, \"box_2d\": [292.06, 183.14, 399.96, 243.71], \"box_3d\": [1.48, 1.64, 3.59, -7.16, 1.78, 19.81], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 305, + "data_source": "Mono3DRefer", + "scene_name": "000704", + "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\": -0.8, \"box_2d\": [0.0, 207.75, 285.16, 374.0], \"box_3d\": [1.42, 1.53, 4.12, -2.99, 1.65, 2.78], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [658.61, 173.96, 712.98, 218.01], \"box_3d\": [1.38, 1.64, 3.51, 2.47, 1.44, 24.53], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [750.01, 163.51, 1068.4, 365.01], \"box_3d\": [1.49, 1.56, 4.34, 2.61, 1.45, 7.55], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 306, + "data_source": "Mono3DRefer", + "scene_name": "000706", + "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\": [692.95, 185.42, 785.1, 256.39], \"box_3d\": [1.51, 1.56, 3.81, 3.0, 1.84, 17.67], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [672.95, 181.89, 745.46, 236.91], \"box_3d\": [1.57, 1.68, 3.83, 3.02, 1.87, 22.9], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [525.23, 181.22, 558.8, 214.58], \"box_3d\": [1.52, 1.5, 3.85, -3.3, 1.93, 35.15], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 307, + "data_source": "Mono3DRefer", + "scene_name": "000707", + "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\": [360.9, 189.01, 501.88, 280.68], \"box_3d\": [1.52, 1.73, 4.28, -3.46, 1.88, 14.64], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [523.92, 182.29, 564.4, 211.63], \"box_3d\": [1.44, 1.7, 3.65, -3.44, 1.95, 37.98], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 308, + "data_source": "Mono3DRefer", + "scene_name": "000708", + "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\": [479.01, 178.29, 532.96, 215.21], \"box_3d\": [1.49, 1.63, 3.68, -4.48, 1.74, 31.34], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [694.1, 177.09, 750.76, 219.62], \"box_3d\": [1.49, 1.61, 3.55, 4.16, 1.67, 27.37], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 2.24, \"box_2d\": [0.0, 206.01, 223.92, 374.0], \"box_3d\": [1.43, 1.68, 3.76, -4.82, 1.76, 5.52], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [133.31, 193.71, 387.66, 317.21], \"box_3d\": [1.38, 1.68, 4.34, -4.91, 1.75, 10.81], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -2.1, \"box_2d\": [852.51, 189.92, 1241.0, 374.0], \"box_3d\": [1.5, 1.64, 4.14, 3.44, 1.67, 5.74], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [451.97, 179.29, 512.11, 221.68], \"box_3d\": [1.45, 1.6, 3.2, -4.69, 1.7, 26.61], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.87, \"box_2d\": [762.14, 182.12, 958.3, 306.43], \"box_3d\": [1.51, 1.66, 3.5, 3.41, 1.66, 10.65], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [726.86, 178.02, 834.57, 253.91], \"box_3d\": [1.51, 1.61, 3.51, 3.67, 1.64, 16.25], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [700.3, 178.28, 779.97, 232.88], \"box_3d\": [1.49, 1.68, 3.8, 3.8, 1.67, 21.84], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 309, + "data_source": "Mono3DRefer", + "scene_name": "000710", + "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\": [380.63, 188.4, 463.01, 258.09], \"box_3d\": [1.41, 1.59, 4.47, -4.5, 1.82, 17.6], \"ry\": 1.39}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [532.31, 181.4, 557.03, 200.98], \"box_3d\": [1.64, 1.69, 3.3, -5.73, 2.4, 62.92], \"ry\": -1.8}]\n```" + } + ] + }, + { + "id": 310, + "data_source": "Mono3DRefer", + "scene_name": "000714", + "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\": -1.14, \"box_2d\": [493.65, 190.36, 662.41, 278.85], \"box_3d\": [1.48, 1.71, 4.65, -0.5, 1.89, 15.15], \"ry\": -1.17}, {\"category\": \"Car\", \"angle\": -0.95, \"box_2d\": [364.44, 168.81, 545.33, 272.45], \"box_3d\": [2.04, 1.66, 4.62, -3.4, 1.98, 16.64], \"ry\": -1.15}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [758.42, 171.96, 835.76, 230.05], \"box_3d\": [1.42, 1.64, 3.95, 5.18, 1.42, 19.8], \"ry\": -1.21}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [968.02, 163.65, 1031.83, 211.79], \"box_3d\": [1.7, 1.8, 4.5, 14.9, 1.4, 27.82], \"ry\": -1.15}, {\"category\": \"Car\", \"angle\": -0.76, \"box_2d\": [182.85, 193.28, 374.91, 264.92], \"box_3d\": [1.53, 1.61, 4.73, -8.47, 2.12, 18.9], \"ry\": -1.18}, {\"category\": \"Car\", \"angle\": -0.68, \"box_2d\": [99.8, 201.34, 248.33, 258.41], \"box_3d\": [1.4, 1.56, 3.48, -12.56, 2.28, 20.95], \"ry\": -1.22}]\n```" + } + ] + }, + { + "id": 311, + "data_source": "Mono3DRefer", + "scene_name": "000715", + "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\": [758.36, 173.03, 779.23, 190.1], \"box_3d\": [1.48, 1.36, 3.51, 14.23, 1.52, 64.84], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 312, + "data_source": "Mono3DRefer", + "scene_name": "000717", + "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\": [672.8, 173.85, 763.09, 256.1], \"box_3d\": [1.57, 1.56, 2.62, 2.15, 1.61, 15.23], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [395.48, 187.82, 522.15, 269.2], \"box_3d\": [1.49, 1.53, 3.88, -3.16, 1.85, 15.63], \"ry\": 1.69}]\n```" + } + ] + }, + { + "id": 313, + "data_source": "Mono3DRefer", + "scene_name": "000728", + "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\": [467.5, 184.4, 515.93, 218.42], \"box_3d\": [1.39, 1.52, 3.56, -5.23, 1.92, 32.08], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [290.0, 186.4, 436.7, 286.75], \"box_3d\": [1.46, 1.59, 3.35, -4.16, 1.72, 12.54], \"ry\": 1.5}]\n```" + } + ] + }, + { + "id": 314, + "data_source": "Mono3DRefer", + "scene_name": "000732", + "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\": [482.87, 167.48, 555.74, 203.65], \"box_3d\": [1.8, 1.63, 3.79, -4.79, 1.56, 37.66], \"ry\": -2.43}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [588.88, 174.51, 622.95, 205.59], \"box_3d\": [1.52, 1.67, 3.61, -0.21, 1.63, 37.39], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [585.72, 178.4, 639.73, 222.31], \"box_3d\": [1.36, 1.69, 3.38, 0.05, 1.57, 24.41], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.23, \"box_2d\": [238.82, 183.21, 452.36, 271.77], \"box_3d\": [1.42, 1.61, 4.03, -5.04, 1.64, 13.47], \"ry\": -2.58}, {\"category\": \"Car\", \"angle\": -2.27, \"box_2d\": [401.36, 166.57, 525.71, 224.43], \"box_3d\": [1.76, 1.74, 4.16, -4.93, 1.6, 23.86], \"ry\": -2.47}, {\"category\": \"Car\", \"angle\": -2.16, \"box_2d\": [435.77, 163.18, 528.61, 215.65], \"box_3d\": [1.83, 1.64, 3.71, -4.89, 1.52, 27.13], \"ry\": -2.33}]\n```" + } + ] + }, + { + "id": 315, + "data_source": "Mono3DRefer", + "scene_name": "000734", + "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\": [665.44, 175.98, 791.75, 261.89], \"box_3d\": [1.49, 1.64, 4.17, 2.21, 1.57, 14.76], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.11, \"box_2d\": [0.0, 187.93, 365.1, 374.0], \"box_3d\": [1.44, 1.65, 4.25, -3.45, 1.6, 5.77], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -2.67, \"box_2d\": [160.12, 189.92, 332.37, 252.83], \"box_3d\": [1.47, 1.58, 3.55, -9.15, 1.93, 18.23], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -1.52, \"box_2d\": [500.49, 173.3, 551.36, 217.64], \"box_3d\": [1.6, 1.75, 3.89, -3.26, 1.64, 28.27], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [632.9, 176.49, 695.02, 222.6], \"box_3d\": [1.59, 1.64, 4.03, 1.92, 1.75, 27.22], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": -1.45, \"box_2d\": [528.07, 179.56, 562.03, 206.09], \"box_3d\": [1.46, 1.56, 3.21, -3.75, 1.86, 41.81], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [619.47, 170.48, 649.95, 202.16], \"box_3d\": [1.83, 1.75, 4.52, 1.47, 1.72, 44.22], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 316, + "data_source": "Mono3DRefer", + "scene_name": "000737", + "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\": 0.65, \"box_2d\": [0.0, 165.23, 270.29, 326.76], \"box_3d\": [1.68, 1.71, 4.07, -6.47, 1.63, 8.46], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -2.67, \"box_2d\": [0.0, 174.09, 349.34, 289.01], \"box_3d\": [1.53, 1.7, 4.32, -6.41, 1.57, 10.79], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 0.36, \"box_2d\": [233.78, 169.37, 448.59, 243.31], \"box_3d\": [1.54, 1.78, 4.2, -6.01, 1.5, 16.36], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 0.17, \"box_2d\": [378.27, 172.24, 511.34, 217.17], \"box_3d\": [1.5, 1.66, 4.4, -5.84, 1.51, 25.73], \"ry\": -0.05}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [661.27, 176.83, 724.48, 223.2], \"box_3d\": [1.41, 1.62, 4.19, 2.67, 1.56, 24.33], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.14, \"box_2d\": [724.12, 175.19, 810.64, 211.99], \"box_3d\": [1.42, 1.59, 3.21, 6.3, 1.54, 29.26], \"ry\": 0.07}]\n```" + } + ] + }, + { + "id": 317, + "data_source": "Mono3DRefer", + "scene_name": "000738", + "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\": [644.47, 180.1, 690.95, 216.69], \"box_3d\": [1.64, 1.69, 3.3, 2.67, 2.0, 34.42], \"ry\": -1.65}]\n```" + } + ] + }, + { + "id": 318, + "data_source": "Mono3DRefer", + "scene_name": "000740", + "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\": [407.36, 179.05, 651.26, 309.32], \"box_3d\": [1.57, 1.65, 4.1, -1.04, 1.68, 10.99], \"ry\": 2.06}, {\"category\": \"Car\", \"angle\": 1.07, \"box_2d\": [784.73, 194.05, 1241.0, 374.0], \"box_3d\": [1.42, 1.6, 3.78, 2.38, 1.59, 4.51], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 319, + "data_source": "Mono3DRefer", + "scene_name": "000747", + "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\": -1.54, \"box_2d\": [610.92, 178.94, 635.52, 201.71], \"box_3d\": [1.54, 1.63, 3.67, 0.95, 1.99, 51.29], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [458.82, 184.03, 510.0, 214.59], \"box_3d\": [1.56, 1.59, 3.69, -6.83, 2.19, 39.43], \"ry\": 1.74}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [485.02, 177.04, 529.24, 210.33], \"box_3d\": [1.93, 1.59, 4.01, -6.26, 2.21, 44.15], \"ry\": 1.72}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [656.55, 176.02, 683.32, 201.11], \"box_3d\": [1.58, 1.67, 3.84, 3.92, 1.81, 47.89], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": 2.78, \"box_2d\": [932.2, 164.14, 1013.15, 191.68], \"box_3d\": [1.39, 1.51, 3.49, 19.07, 0.97, 38.1], \"ry\": -3.04}]\n```" + } + ] + }, + { + "id": 320, + "data_source": "Mono3DRefer", + "scene_name": "000749", + "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\": [638.19, 176.1, 666.15, 199.22], \"box_3d\": [1.42, 1.45, 3.2, 2.65, 1.64, 46.29], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [689.1, 183.03, 775.3, 244.77], \"box_3d\": [1.38, 1.49, 3.32, 2.93, 1.65, 18.09], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.1, \"box_2d\": [852.71, 187.06, 1241.0, 374.0], \"box_3d\": [1.5, 1.62, 3.89, 3.59, 1.65, 6.27], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [705.49, 175.27, 743.11, 201.08], \"box_3d\": [1.43, 1.48, 3.25, 6.61, 1.59, 42.11], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [759.34, 176.75, 831.47, 216.36], \"box_3d\": [1.44, 1.56, 3.96, 7.21, 1.61, 28.54], \"ry\": -1.65}]\n```" + } + ] + }, + { + "id": 321, + "data_source": "Mono3DRefer", + "scene_name": "000753", + "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\": 1.91, \"box_2d\": [12.54, 191.25, 357.9, 374.0], \"box_3d\": [1.6, 1.73, 3.62, -3.85, 1.82, 7.23], \"ry\": 1.43}, {\"category\": \"Car\", \"angle\": 2.97, \"box_2d\": [607.58, 168.14, 701.4, 202.5], \"box_3d\": [1.73, 1.74, 4.71, 2.29, 1.51, 38.22], \"ry\": 3.03}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [452.54, 178.73, 485.89, 204.42], \"box_3d\": [1.58, 1.76, 4.18, -9.13, 1.98, 46.95], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 322, + "data_source": "Mono3DRefer", + "scene_name": "000760", + "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\": 0.56, \"box_2d\": [38.77, 198.38, 422.17, 316.55], \"box_3d\": [1.38, 1.66, 4.38, -5.01, 1.77, 9.73], \"ry\": 0.09}, {\"category\": \"Car\", \"angle\": -0.65, \"box_2d\": [917.51, 170.71, 1241.0, 374.0], \"box_3d\": [1.48, 1.86, 4.18, 4.68, 1.46, 5.23], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": -0.52, \"box_2d\": [812.4, 151.43, 1241.0, 319.58], \"box_3d\": [1.74, 1.66, 4.37, 4.78, 1.54, 8.52], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -2.79, \"box_2d\": [337.68, 182.96, 507.37, 238.86], \"box_3d\": [1.47, 1.67, 4.28, -5.22, 1.78, 20.21], \"ry\": -3.04}, {\"category\": \"Car\", \"angle\": -3.04, \"box_2d\": [404.02, 181.77, 534.37, 223.64], \"box_3d\": [1.38, 1.67, 4.37, -4.94, 1.72, 25.56], \"ry\": 3.05}, {\"category\": \"Car\", \"angle\": -0.32, \"box_2d\": [781.37, 169.96, 956.87, 246.87], \"box_3d\": [1.54, 1.58, 3.2, 5.44, 1.51, 15.54], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -0.38, \"box_2d\": [790.61, 168.85, 1049.58, 258.33], \"box_3d\": [1.51, 1.72, 4.03, 5.54, 1.47, 13.35], \"ry\": 0.01}]\n```" + } + ] + }, + { + "id": 323, + "data_source": "Mono3DRefer", + "scene_name": "000763", + "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\": 3.02, \"box_2d\": [874.58, 161.12, 937.38, 183.85], \"box_3d\": [1.59, 1.64, 4.08, 21.67, 0.78, 53.0], \"ry\": -2.88}, {\"category\": \"Car\", \"angle\": 0.77, \"box_2d\": [362.42, 176.81, 412.89, 197.28], \"box_3d\": [1.49, 1.59, 3.46, -16.62, 1.8, 53.86], \"ry\": 0.47}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [710.47, 173.82, 782.51, 225.46], \"box_3d\": [1.43, 1.59, 4.21, 4.08, 1.49, 22.32], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": 2.96, \"box_2d\": [728.08, 165.87, 785.4, 185.41], \"box_3d\": [1.41, 1.59, 4.01, 11.05, 0.92, 54.59], \"ry\": -3.12}]\n```" + } + ] + }, + { + "id": 324, + "data_source": "Mono3DRefer", + "scene_name": "000776", + "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\": [564.61, 188.21, 700.38, 275.32], \"box_3d\": [1.48, 1.51, 4.35, 0.59, 1.83, 15.03], \"ry\": 1.92}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [788.25, 182.23, 856.11, 231.31], \"box_3d\": [1.46, 1.74, 3.99, 7.08, 1.79, 23.97], \"ry\": 1.96}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [652.85, 185.5, 750.87, 244.43], \"box_3d\": [1.42, 1.68, 4.29, 2.65, 1.8, 20.23], \"ry\": 1.95}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [728.41, 185.43, 785.21, 225.57], \"box_3d\": [1.36, 1.4, 3.8, 5.55, 1.86, 27.14], \"ry\": 1.96}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [789.26, 179.99, 822.6, 207.39], \"box_3d\": [1.44, 1.65, 2.96, 10.82, 1.85, 39.85], \"ry\": 1.87}]\n```" + } + ] + }, + { + "id": 325, + "data_source": "Mono3DRefer", + "scene_name": "000780", + "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\": [359.33, 174.42, 462.37, 243.47], \"box_3d\": [1.65, 1.61, 3.73, -5.24, 1.72, 19.29], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.98, \"box_2d\": [788.39, 167.01, 1126.78, 374.0], \"box_3d\": [1.57, 1.54, 3.22, 2.85, 1.55, 6.78], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [708.79, 157.07, 863.48, 284.0], \"box_3d\": [1.74, 1.6, 3.86, 2.65, 1.55, 11.89], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [679.6, 157.82, 780.97, 245.86], \"box_3d\": [1.83, 1.69, 4.44, 2.69, 1.54, 17.32], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [671.5, 170.38, 734.94, 226.58], \"box_3d\": [1.61, 1.62, 3.78, 2.82, 1.57, 22.78], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [531.19, 166.63, 559.77, 195.34], \"box_3d\": [1.86, 1.57, 3.83, -4.37, 1.48, 49.07], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [437.17, 176.68, 499.76, 221.06], \"box_3d\": [1.5, 1.46, 3.7, -5.14, 1.65, 26.41], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.51, \"box_2d\": [0.0, 212.28, 86.09, 374.0], \"box_3d\": [1.54, 1.7, 4.32, -5.3, 1.85, 3.83], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.09, \"box_2d\": [0.0, 192.47, 315.3, 364.81], \"box_3d\": [1.54, 1.54, 3.72, -5.11, 1.81, 8.62], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [247.74, 184.08, 416.03, 283.3], \"box_3d\": [1.57, 1.6, 4.24, -5.13, 1.81, 13.84], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 326, + "data_source": "Mono3DRefer", + "scene_name": "000781", + "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\": 0.39, \"box_2d\": [292.07, 186.29, 435.74, 227.61], \"box_3d\": [1.36, 1.68, 4.49, -8.66, 1.86, 25.47], \"ry\": 0.06}]\n```" + } + ] + }, + { + "id": 327, + "data_source": "Mono3DRefer", + "scene_name": "000783", + "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\": [659.21, 167.22, 695.89, 201.77], \"box_3d\": [1.62, 1.7, 3.29, 3.29, 1.38, 35.93], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [113.61, 183.49, 397.75, 350.73], \"box_3d\": [1.59, 1.63, 3.83, -4.06, 1.74, 8.92], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 328, + "data_source": "Mono3DRefer", + "scene_name": "000786", + "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\": [512.91, 183.16, 557.23, 216.89], \"box_3d\": [1.52, 1.73, 4.28, -3.64, 2.04, 35.42], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [553.18, 180.85, 577.14, 199.17], \"box_3d\": [1.44, 1.7, 3.65, -3.68, 2.11, 59.45], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 329, + "data_source": "Mono3DRefer", + "scene_name": "000788", + "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\": [0.0, 162.91, 291.69, 363.0], \"box_3d\": [1.86, 1.57, 3.83, -5.45, 1.8, 8.67], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 330, + "data_source": "Mono3DRefer", + "scene_name": "000791", + "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\": -1.15, \"box_2d\": [361.12, 189.23, 520.33, 269.31], \"box_3d\": [1.48, 1.71, 4.65, -3.65, 1.89, 16.34], \"ry\": -1.37}, {\"category\": \"Car\", \"angle\": -0.95, \"box_2d\": [229.66, 167.89, 412.83, 266.77], \"box_3d\": [2.04, 1.66, 4.62, -6.72, 1.96, 17.32], \"ry\": -1.32}, {\"category\": \"Car\", \"angle\": -1.47, \"box_2d\": [613.23, 174.5, 679.88, 226.07], \"box_3d\": [1.42, 1.64, 3.95, 1.16, 1.49, 21.99], \"ry\": -1.42}, {\"category\": \"Car\", \"angle\": -1.96, \"box_2d\": [1012.55, 174.87, 1223.0, 265.94], \"box_3d\": [1.51, 1.72, 4.5, 9.69, 1.57, 14.32], \"ry\": -1.37}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [796.89, 164.05, 845.19, 205.81], \"box_3d\": [1.7, 1.8, 4.5, 9.18, 1.37, 31.74], \"ry\": -1.33}, {\"category\": \"Car\", \"angle\": -2.03, \"box_2d\": [1125.42, 162.12, 1241.0, 257.11], \"box_3d\": [1.64, 1.73, 4.43, 12.16, 1.46, 14.23], \"ry\": -1.34}, {\"category\": \"Car\", \"angle\": -0.79, \"box_2d\": [27.55, 193.41, 236.41, 265.59], \"box_3d\": [1.53, 1.61, 4.73, -12.15, 2.12, 18.73], \"ry\": -1.36}, {\"category\": \"Car\", \"angle\": -0.7, \"box_2d\": [0.0, 200.25, 89.11, 256.68], \"box_3d\": [1.4, 1.56, 3.48, -16.6, 2.21, 19.86], \"ry\": -1.39}]\n```" + } + ] + }, + { + "id": 331, + "data_source": "Mono3DRefer", + "scene_name": "000793", + "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\": -1.4, \"box_2d\": [462.47, 174.59, 549.96, 238.14], \"box_3d\": [1.47, 1.59, 4.03, -2.39, 1.31, 18.78], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.49, \"box_2d\": [523.4, 175.6, 568.46, 212.46], \"box_3d\": [1.41, 1.54, 3.36, -2.23, 1.18, 29.4], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [601.71, 169.27, 640.76, 204.87], \"box_3d\": [1.52, 1.67, 4.38, 0.95, 1.0, 33.28], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [566.8, 167.41, 597.76, 194.69], \"box_3d\": [1.56, 1.59, 3.65, -1.11, 0.75, 43.41], \"ry\": -1.53}]\n```" + } + ] + }, + { + "id": 332, + "data_source": "Mono3DRefer", + "scene_name": "000794", + "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\": [520.47, 177.65, 557.26, 197.81], \"box_3d\": [1.45, 1.59, 4.28, -5.34, 1.82, 54.46], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [716.6, 176.12, 739.27, 196.19], \"box_3d\": [1.43, 1.59, 4.21, 8.83, 1.7, 54.08], \"ry\": -1.41}]\n```" + } + ] + }, + { + "id": 333, + "data_source": "Mono3DRefer", + "scene_name": "000797", + "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\": [297.89, 190.29, 424.13, 288.47], \"box_3d\": [1.86, 1.57, 3.83, -5.44, 2.28, 16.11], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 334, + "data_source": "Mono3DRefer", + "scene_name": "000802", + "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\": [420.74, 183.74, 510.25, 243.19], \"box_3d\": [1.58, 1.68, 3.76, -4.23, 1.92, 21.46], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [469.41, 181.82, 535.65, 229.55], \"box_3d\": [1.61, 1.74, 4.06, -3.93, 1.96, 26.78], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [693.41, 174.79, 731.81, 208.97], \"box_3d\": [1.77, 1.77, 5.1, 5.64, 1.91, 40.32], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [502.1, 185.79, 553.21, 220.56], \"box_3d\": [1.39, 1.55, 3.65, -3.58, 1.98, 31.6], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [522.09, 183.29, 567.91, 214.75], \"box_3d\": [1.46, 1.63, 3.92, -3.24, 2.01, 36.3], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": 0.45, \"box_2d\": [131.2, 185.36, 276.88, 230.0], \"box_3d\": [1.5, 1.87, 4.23, -14.73, 1.99, 26.3], \"ry\": -0.06}, {\"category\": \"Car\", \"angle\": -2.07, \"box_2d\": [875.97, 205.29, 1241.0, 374.0], \"box_3d\": [1.38, 1.73, 3.97, 3.62, 1.72, 5.75], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [773.57, 187.49, 959.71, 305.98], \"box_3d\": [1.5, 1.62, 4.11, 3.78, 1.76, 11.49], \"ry\": -1.53}]\n```" + } + ] + }, + { + "id": 335, + "data_source": "Mono3DRefer", + "scene_name": "000807", + "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\": [345.19, 185.83, 402.41, 214.58], \"box_3d\": [1.55, 1.88, 4.59, -13.84, 2.34, 42.48], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 336, + "data_source": "Mono3DRefer", + "scene_name": "000808", + "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\": -1.54, \"box_2d\": [585.86, 182.94, 627.43, 221.2], \"box_3d\": [1.52, 1.67, 3.61, -0.13, 1.97, 30.96], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [601.88, 184.97, 665.33, 237.34], \"box_3d\": [1.36, 1.69, 3.38, 0.59, 1.74, 21.03], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.59, \"box_2d\": [967.93, 175.21, 1087.4, 209.95], \"box_3d\": [1.45, 1.67, 4.32, 18.35, 1.58, 31.86], \"ry\": 3.1}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [402.14, 186.23, 446.06, 213.49], \"box_3d\": [1.59, 1.72, 3.86, -11.63, 2.45, 45.28], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 337, + "data_source": "Mono3DRefer", + "scene_name": "000810", + "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\": [668.22, 193.07, 764.47, 262.68], \"box_3d\": [1.41, 1.58, 4.36, 2.43, 1.95, 17.76], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 338, + "data_source": "Mono3DRefer", + "scene_name": "000813", + "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\": [501.87, 178.19, 542.47, 200.03], \"box_3d\": [1.45, 1.59, 4.28, -6.11, 1.83, 50.43], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [715.81, 176.69, 739.49, 197.66], \"box_3d\": [1.43, 1.59, 4.21, 8.42, 1.72, 51.84], \"ry\": -1.41}]\n```" + } + ] + }, + { + "id": 339, + "data_source": "Mono3DRefer", + "scene_name": "000816", + "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\": 1.65, \"box_2d\": [537.6, 170.87, 608.26, 229.25], \"box_3d\": [1.49, 1.68, 4.08, -0.74, 1.22, 20.54], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 340, + "data_source": "Mono3DRefer", + "scene_name": "000817", + "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\": [0.0, 188.31, 337.38, 374.0], \"box_3d\": [1.62, 1.75, 4.3, -3.98, 1.78, 5.89], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.16, \"box_2d\": [0.0, 189.55, 239.41, 329.16], \"box_3d\": [1.47, 1.73, 4.48, -7.25, 1.75, 10.16], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.19, \"box_2d\": [339.47, 190.35, 430.51, 241.23], \"box_3d\": [1.39, 1.59, 3.17, -6.84, 1.96, 22.1], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -1.07, \"box_2d\": [263.11, 190.53, 379.52, 243.46], \"box_3d\": [1.46, 1.55, 4.28, -9.08, 2.06, 22.99], \"ry\": -1.44}]\n```" + } + ] + }, + { + "id": 341, + "data_source": "Mono3DRefer", + "scene_name": "000818", + "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\": [543.69, 164.21, 572.9, 193.67], \"box_3d\": [1.97, 1.87, 4.53, -3.63, 1.42, 51.02], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [0.0, 204.69, 402.33, 374.0], \"box_3d\": [1.42, 1.66, 4.11, -3.05, 1.75, 5.62], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 342, + "data_source": "Mono3DRefer", + "scene_name": "000821", + "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\": [424.61, 186.64, 805.46, 324.08], \"box_3d\": [1.45, 1.68, 4.53, -0.04, 1.66, 9.24], \"ry\": -0.2}]\n```" + } + ] + }, + { + "id": 343, + "data_source": "Mono3DRefer", + "scene_name": "000822", + "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\": -1.46, \"box_2d\": [545.87, 172.35, 584.73, 202.04], \"box_3d\": [1.47, 1.59, 4.03, -1.85, 1.01, 37.93], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [612.22, 168.98, 639.37, 192.76], \"box_3d\": [1.52, 1.67, 4.38, 1.71, 0.71, 48.75], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [589.63, 168.17, 610.78, 187.69], \"box_3d\": [1.56, 1.59, 3.65, -0.04, 0.49, 59.95], \"ry\": -1.53}]\n```" + } + ] + }, + { + "id": 344, + "data_source": "Mono3DRefer", + "scene_name": "000829", + "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\": [442.72, 183.1, 527.89, 243.64], \"box_3d\": [1.44, 1.62, 3.67, -3.28, 1.73, 19.36], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [505.35, 179.44, 559.04, 221.44], \"box_3d\": [1.51, 1.62, 3.68, -3.0, 1.78, 28.13], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 345, + "data_source": "Mono3DRefer", + "scene_name": "000830", + "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\": [362.18, 180.43, 437.46, 215.63], \"box_3d\": [1.45, 1.59, 4.28, -9.31, 1.8, 32.2], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [703.86, 175.82, 734.24, 202.01], \"box_3d\": [1.43, 1.59, 4.21, 6.27, 1.62, 41.93], \"ry\": -1.45}]\n```" + } + ] + }, + { + "id": 346, + "data_source": "Mono3DRefer", + "scene_name": "000832", + "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\": [676.67, 174.6, 707.67, 194.83], \"box_3d\": [1.45, 1.61, 4.2, 6.13, 1.61, 54.37], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -2.46, \"box_2d\": [800.46, 174.47, 866.86, 201.82], \"box_3d\": [1.48, 1.36, 3.51, 12.63, 1.6, 41.0], \"ry\": -2.16}]\n```" + } + ] + }, + { + "id": 347, + "data_source": "Mono3DRefer", + "scene_name": "000834", + "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\": [547.4, 177.04, 572.4, 199.87], \"box_3d\": [1.7, 1.72, 4.11, -3.9, 2.05, 56.37], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 348, + "data_source": "Mono3DRefer", + "scene_name": "000835", + "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\": [543.59, 181.61, 571.93, 204.06], \"box_3d\": [1.52, 1.73, 4.28, -3.73, 2.16, 51.84], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 349, + "data_source": "Mono3DRefer", + "scene_name": "000836", + "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\": -1.54, \"box_2d\": [612.33, 174.27, 666.38, 226.41], \"box_3d\": [1.61, 1.66, 3.2, 0.99, 1.68, 24.06], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [476.52, 180.84, 542.39, 225.69], \"box_3d\": [1.44, 1.61, 3.66, -3.48, 1.73, 25.25], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [426.55, 182.07, 489.85, 219.62], \"box_3d\": [1.41, 1.53, 3.37, -6.09, 1.79, 29.12], \"ry\": 1.67}]\n```" + } + ] + }, + { + "id": 350, + "data_source": "Mono3DRefer", + "scene_name": "000839", + "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\": [435.69, 182.58, 507.07, 237.77], \"box_3d\": [1.7, 1.72, 4.11, -4.68, 2.05, 24.69], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 351, + "data_source": "Mono3DRefer", + "scene_name": "000842", + "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\": [536.71, 170.99, 568.58, 202.82], \"box_3d\": [1.97, 1.87, 4.53, -3.74, 1.89, 47.4], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 352, + "data_source": "Mono3DRefer", + "scene_name": "000845", + "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\": 0.41, \"box_2d\": [196.85, 184.35, 370.3, 243.7], \"box_3d\": [1.46, 1.63, 3.85, -8.6, 1.79, 19.12], \"ry\": -0.0}, {\"category\": \"Car\", \"angle\": -2.74, \"box_2d\": [253.12, 173.9, 407.24, 233.22], \"box_3d\": [1.71, 1.69, 4.06, -8.54, 1.77, 22.12], \"ry\": -3.1}, {\"category\": \"Car\", \"angle\": -2.84, \"box_2d\": [308.45, 181.37, 428.83, 227.56], \"box_3d\": [1.51, 1.61, 3.65, -8.37, 1.83, 25.1], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -2.84, \"box_2d\": [335.89, 180.89, 440.39, 218.3], \"box_3d\": [1.45, 1.54, 3.79, -9.06, 1.8, 29.51], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -2.94, \"box_2d\": [365.72, 180.29, 449.34, 219.29], \"box_3d\": [1.66, 1.62, 3.34, -9.06, 2.02, 32.36], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": -2.97, \"box_2d\": [391.35, 183.43, 477.67, 213.53], \"box_3d\": [1.41, 1.59, 3.94, -8.68, 1.95, 35.78], \"ry\": 3.08}, {\"category\": \"Car\", \"angle\": -2.91, \"box_2d\": [410.7, 173.35, 485.32, 206.85], \"box_3d\": [1.69, 1.77, 3.51, -8.52, 1.74, 38.03], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -2.96, \"box_2d\": [427.75, 176.73, 501.76, 206.49], \"box_3d\": [1.61, 1.66, 3.86, -8.21, 1.85, 40.87], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": 2.77, \"box_2d\": [442.74, 177.03, 511.51, 203.73], \"box_3d\": [1.59, 1.71, 3.9, -8.4, 1.88, 45.53], \"ry\": 2.58}, {\"category\": \"Car\", \"angle\": -2.39, \"box_2d\": [0.0, 195.91, 81.32, 330.88], \"box_3d\": [1.44, 1.52, 3.5, -8.43, 1.74, 8.26], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -2.6, \"box_2d\": [34.88, 186.35, 269.23, 278.14], \"box_3d\": [1.59, 1.52, 3.47, -8.61, 1.87, 13.68], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -2.66, \"box_2d\": [140.66, 179.77, 331.03, 253.29], \"box_3d\": [1.58, 1.55, 3.59, -8.59, 1.76, 16.66], \"ry\": -3.13}]\n```" + } + ] + }, + { + "id": 353, + "data_source": "Mono3DRefer", + "scene_name": "000846", + "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\": [735.32, 179.57, 851.17, 254.87], \"box_3d\": [1.43, 1.59, 4.21, 3.84, 1.59, 15.96], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 2.7, \"box_2d\": [651.6, 172.62, 718.25, 195.4], \"box_3d\": [1.41, 1.59, 4.01, 4.86, 1.42, 47.02], \"ry\": 2.8}, {\"category\": \"Car\", \"angle\": 3.06, \"box_2d\": [828.02, 166.76, 895.02, 191.69], \"box_3d\": [1.59, 1.64, 4.08, 16.69, 1.23, 48.12], \"ry\": -2.89}, {\"category\": \"Car\", \"angle\": 2.88, \"box_2d\": [979.42, 166.53, 1068.34, 190.59], \"box_3d\": [1.46, 1.64, 4.63, 26.26, 1.1, 45.97], \"ry\": -2.88}, {\"category\": \"Car\", \"angle\": 0.59, \"box_2d\": [365.97, 179.39, 427.65, 203.44], \"box_3d\": [1.49, 1.59, 3.46, -13.6, 1.92, 45.99], \"ry\": 0.3}]\n```" + } + ] + }, + { + "id": 354, + "data_source": "Mono3DRefer", + "scene_name": "000848", + "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\": 3.0, \"box_2d\": [0.0, 168.21, 274.15, 255.34], \"box_3d\": [1.49, 1.67, 4.5, -9.39, 1.42, 14.4], \"ry\": 2.43}, {\"category\": \"Car\", \"angle\": -1.1, \"box_2d\": [1023.12, 152.52, 1237.84, 256.67], \"box_3d\": [1.65, 1.67, 3.64, 9.36, 1.33, 13.0], \"ry\": -0.48}, {\"category\": \"Car\", \"angle\": 2.21, \"box_2d\": [1161.66, 156.97, 1241.0, 207.71], \"box_3d\": [1.59, 1.55, 3.93, 20.59, 1.09, 23.9], \"ry\": 2.91}]\n```" + } + ] + }, + { + "id": 355, + "data_source": "Mono3DRefer", + "scene_name": "000849", + "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\": [788.53, 189.93, 1137.59, 374.0], \"box_3d\": [1.49, 1.61, 3.74, 2.91, 1.68, 6.97], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [589.72, 173.63, 630.7, 206.64], \"box_3d\": [1.46, 1.63, 4.47, 0.04, 1.53, 34.58], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": -2.92, \"box_2d\": [373.7, 173.33, 526.7, 225.22], \"box_3d\": [1.47, 1.68, 4.26, -4.8, 1.52, 21.89], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 356, + "data_source": "Mono3DRefer", + "scene_name": "000851", + "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\": [533.07, 181.1, 581.41, 220.64], \"box_3d\": [1.53, 1.59, 3.64, -2.3, 1.89, 30.21], \"ry\": -1.76}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [433.9, 176.63, 468.02, 205.31], \"box_3d\": [1.63, 1.6, 3.73, -9.52, 1.87, 43.29], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 357, + "data_source": "Mono3DRefer", + "scene_name": "000854", + "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\": [236.74, 186.46, 321.18, 226.99], \"box_3d\": [1.48, 1.71, 3.54, -13.22, 2.05, 28.95], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [412.68, 178.85, 448.08, 197.34], \"box_3d\": [1.56, 1.91, 4.44, -15.85, 2.1, 63.82], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 358, + "data_source": "Mono3DRefer", + "scene_name": "000856", + "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\": -1.91, \"box_2d\": [756.9, 202.27, 1114.22, 374.0], \"box_3d\": [1.48, 1.6, 3.79, 2.49, 1.82, 6.65], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [459.12, 189.11, 552.13, 264.02], \"box_3d\": [1.56, 1.55, 3.64, -2.44, 1.98, 17.36], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [514.91, 174.08, 584.22, 240.85], \"box_3d\": [1.91, 1.66, 4.22, -1.85, 1.97, 22.86], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [557.8, 178.84, 612.8, 228.56], \"box_3d\": [1.83, 1.69, 4.28, -0.94, 2.08, 28.82], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [621.61, 185.69, 663.66, 212.3], \"box_3d\": [1.51, 1.63, 4.03, 2.03, 2.33, 44.23], \"ry\": 1.86}]\n```" + } + ] + }, + { + "id": 359, + "data_source": "Mono3DRefer", + "scene_name": "000858", + "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\": [49.58, 201.59, 198.11, 265.08], \"box_3d\": [1.35, 1.5, 3.64, -12.39, 2.15, 18.6], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 360, + "data_source": "Mono3DRefer", + "scene_name": "000859", + "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\": [791.11, 177.42, 961.57, 298.1], \"box_3d\": [1.57, 1.66, 4.02, 3.96, 1.66, 11.51], \"ry\": -1.45}, {\"category\": \"Car\", \"angle\": 1.42, \"box_2d\": [737.92, 178.5, 832.02, 249.27], \"box_3d\": [1.53, 1.62, 3.77, 4.1, 1.68, 17.59], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [585.08, 174.08, 634.32, 207.87], \"box_3d\": [1.76, 1.77, 4.41, 0.02, 1.85, 39.89], \"ry\": 1.8}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [622.53, 178.6, 661.32, 202.34], \"box_3d\": [1.48, 1.65, 4.4, 2.12, 1.86, 47.33], \"ry\": 1.82}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [682.01, 176.83, 708.49, 193.76], \"box_3d\": [1.42, 1.66, 3.64, 7.42, 1.78, 62.68], \"ry\": 1.87}]\n```" + } + ] + }, + { + "id": 361, + "data_source": "Mono3DRefer", + "scene_name": "000865", + "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\": 1.91, \"box_2d\": [203.04, 201.88, 468.2, 374.0], \"box_3d\": [1.6, 1.68, 3.94, -3.04, 2.02, 8.8], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [535.61, 197.0, 573.54, 227.99], \"box_3d\": [1.42, 1.66, 4.11, -2.88, 2.74, 37.75], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 362, + "data_source": "Mono3DRefer", + "scene_name": "000870", + "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\": [601.64, 181.69, 678.8, 244.68], \"box_3d\": [1.36, 1.69, 3.38, 0.62, 1.59, 17.59], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [337.87, 181.1, 401.28, 216.61], \"box_3d\": [1.59, 1.72, 3.86, -11.49, 2.0, 34.65], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -2.31, \"box_2d\": [475.68, 178.03, 550.03, 211.62], \"box_3d\": [1.59, 1.63, 3.64, -4.91, 1.87, 36.05], \"ry\": -2.45}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [583.31, 181.52, 627.65, 222.14], \"box_3d\": [1.52, 1.67, 3.61, -0.17, 1.88, 29.14], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 363, + "data_source": "Mono3DRefer", + "scene_name": "000875", + "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\": -2.57, \"box_2d\": [0.0, 179.69, 205.93, 293.37], \"box_3d\": [1.49, 1.75, 3.73, -8.27, 1.61, 10.46], \"ry\": 3.06}, {\"category\": \"Car\", \"angle\": -2.68, \"box_2d\": [16.18, 180.31, 269.69, 267.44], \"box_3d\": [1.49, 1.64, 3.69, -8.73, 1.65, 13.68], \"ry\": 3.04}, {\"category\": \"Car\", \"angle\": 0.27, \"box_2d\": [114.26, 167.93, 315.1, 251.0], \"box_3d\": [1.77, 1.6, 3.79, -9.06, 1.68, 16.74], \"ry\": -0.22}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [511.86, 177.33, 567.47, 218.88], \"box_3d\": [1.66, 1.66, 3.98, -3.14, 1.87, 31.17], \"ry\": -1.86}]\n```" + } + ] + }, + { + "id": 364, + "data_source": "Mono3DRefer", + "scene_name": "000877", + "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\": [369.82, 187.81, 431.48, 225.1], \"box_3d\": [1.56, 1.73, 4.37, -9.7, 2.29, 33.64], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [434.33, 183.67, 469.24, 209.82], \"box_3d\": [1.6, 1.67, 2.65, -10.14, 2.31, 46.27], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 365, + "data_source": "Mono3DRefer", + "scene_name": "000878", + "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\": [376.73, 183.14, 429.04, 211.56], \"box_3d\": [1.62, 1.86, 4.31, -12.61, 2.26, 44.11], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 366, + "data_source": "Mono3DRefer", + "scene_name": "000879", + "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\": [369.4, 185.46, 420.32, 210.43], \"box_3d\": [1.5, 1.95, 4.6, -13.99, 2.35, 47.1], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 367, + "data_source": "Mono3DRefer", + "scene_name": "000881", + "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\": [578.34, 182.19, 605.49, 209.17], \"box_3d\": [1.65, 1.67, 3.64, -1.19, 2.27, 46.64], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 368, + "data_source": "Mono3DRefer", + "scene_name": "000884", + "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\": [454.15, 182.71, 548.63, 254.64], \"box_3d\": [1.55, 1.68, 4.42, -2.62, 1.81, 18.07], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [669.56, 182.91, 731.03, 232.74], \"box_3d\": [1.6, 1.53, 4.18, 3.09, 1.97, 25.65], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 369, + "data_source": "Mono3DRefer", + "scene_name": "000885", + "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\": [430.33, 182.04, 532.74, 261.28], \"box_3d\": [1.52, 1.57, 4.42, -2.78, 1.74, 16.27], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.35, \"box_2d\": [692.66, 184.52, 844.71, 294.35], \"box_3d\": [1.51, 1.58, 3.92, 2.42, 1.72, 12.14], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.38, \"box_2d\": [688.22, 180.36, 775.62, 250.85], \"box_3d\": [1.55, 1.47, 3.36, 2.85, 1.74, 17.72], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [524.85, 182.32, 565.09, 218.24], \"box_3d\": [1.46, 1.6, 3.33, -2.83, 1.88, 31.5], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [646.98, 177.32, 692.12, 216.89], \"box_3d\": [1.64, 1.7, 3.54, 2.55, 1.86, 32.0], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 370, + "data_source": "Mono3DRefer", + "scene_name": "000887", + "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\": [2.75, 196.29, 83.42, 230.2], \"box_3d\": [1.43, 1.48, 3.33, -26.68, 2.58, 34.03], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 2.19, \"box_2d\": [83.34, 190.17, 163.91, 222.12], \"box_3d\": [1.62, 1.6, 4.18, -27.08, 2.62, 40.3], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.09, \"box_2d\": [148.84, 191.01, 205.29, 215.97], \"box_3d\": [1.48, 1.35, 3.93, -28.07, 2.7, 46.86], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [184.01, 187.29, 234.58, 210.12], \"box_3d\": [1.5, 1.62, 4.08, -28.38, 2.55, 51.19], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [223.46, 189.41, 263.85, 211.75], \"box_3d\": [1.65, 1.57, 3.82, -29.02, 2.99, 57.22], \"ry\": 1.47}]\n```" + } + ] + }, + { + "id": 371, + "data_source": "Mono3DRefer", + "scene_name": "000890", + "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\": [730.12, 186.87, 877.86, 284.24], \"box_3d\": [1.38, 1.49, 3.32, 3.08, 1.64, 12.22], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [735.88, 176.5, 785.41, 208.7], \"box_3d\": [1.43, 1.48, 3.25, 7.03, 1.62, 34.1], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.98, \"box_2d\": [813.98, 178.61, 925.48, 233.92], \"box_3d\": [1.44, 1.56, 3.96, 7.38, 1.62, 21.02], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [650.72, 177.24, 686.94, 206.17], \"box_3d\": [1.42, 1.45, 3.2, 2.98, 1.66, 37.33], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 372, + "data_source": "Mono3DRefer", + "scene_name": "000893", + "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\": [113.18, 192.89, 246.14, 248.37], \"box_3d\": [1.57, 1.9, 4.16, -14.02, 2.28, 23.76], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 373, + "data_source": "Mono3DRefer", + "scene_name": "000895", + "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\": [494.56, 181.99, 548.2, 229.92], \"box_3d\": [1.41, 1.59, 4.47, -2.94, 1.73, 23.92], \"ry\": 1.47}]\n```" + } + ] + }, + { + "id": 374, + "data_source": "Mono3DRefer", + "scene_name": "000901", + "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\": [589.84, 190.33, 626.7, 224.66], \"box_3d\": [1.41, 1.59, 4.47, -0.11, 2.27, 33.61], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 375, + "data_source": "Mono3DRefer", + "scene_name": "000905", + "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\": [411.68, 193.66, 453.77, 233.86], \"box_3d\": [1.65, 1.75, 3.39, -8.09, 2.63, 32.82], \"ry\": 1.33}]\n```" + } + ] + }, + { + "id": 376, + "data_source": "Mono3DRefer", + "scene_name": "000920", + "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\": [204.69, 192.16, 430.14, 333.28], \"box_3d\": [1.45, 1.64, 4.21, -3.77, 1.76, 10.0], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.41, \"box_2d\": [647.31, 180.76, 726.02, 243.96], \"box_3d\": [1.62, 1.58, 3.89, 2.05, 1.85, 20.62], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [469.15, 184.41, 530.51, 227.54], \"box_3d\": [1.45, 1.67, 4.43, -4.09, 1.91, 27.19], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [630.54, 183.61, 687.77, 225.83], \"box_3d\": [1.47, 1.59, 3.62, 1.77, 1.89, 27.45], \"ry\": -1.67}]\n```" + } + ] + }, + { + "id": 377, + "data_source": "Mono3DRefer", + "scene_name": "000921", + "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\": [540.42, 180.79, 568.75, 207.31], \"box_3d\": [1.7, 1.53, 3.82, -3.73, 2.25, 48.76], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [469.26, 175.15, 541.73, 239.43], \"box_3d\": [1.97, 1.87, 4.53, -3.49, 2.08, 24.62], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 378, + "data_source": "Mono3DRefer", + "scene_name": "000930", + "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\": [74.42, 159.2, 440.97, 374.0], \"box_3d\": [1.7, 1.63, 4.08, -3.01, 1.64, 7.12], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.35, \"box_2d\": [402.09, 186.56, 523.35, 266.07], \"box_3d\": [1.4, 1.67, 3.72, -2.96, 1.71, 15.01], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [636.4, 180.08, 681.86, 216.2], \"box_3d\": [1.49, 1.61, 3.74, 2.08, 1.82, 31.91], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 379, + "data_source": "Mono3DRefer", + "scene_name": "000933", + "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\": [481.18, 184.27, 541.92, 227.32], \"box_3d\": [1.44, 1.72, 4.14, -3.63, 1.89, 26.95], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 380, + "data_source": "Mono3DRefer", + "scene_name": "000941", + "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\": -1.1, \"box_2d\": [0.0, 187.55, 425.15, 374.0], \"box_3d\": [1.77, 1.75, 4.67, -3.17, 1.93, 6.27], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [432.73, 183.27, 536.13, 260.78], \"box_3d\": [1.6, 1.68, 3.94, -2.88, 1.86, 17.12], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [558.58, 183.21, 588.78, 207.04], \"box_3d\": [1.42, 1.66, 4.11, -2.3, 2.1, 46.1], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 381, + "data_source": "Mono3DRefer", + "scene_name": "000945", + "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\": [363.97, 182.25, 518.82, 301.31], \"box_3d\": [1.63, 1.6, 3.73, -2.62, 1.8, 11.88], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -2.04, \"box_2d\": [875.51, 219.55, 1241.0, 374.0], \"box_3d\": [1.45, 1.5, 3.26, 2.57, 1.79, 3.78], \"ry\": -1.47}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [721.52, 186.08, 904.77, 327.88], \"box_3d\": [1.59, 1.49, 3.34, 2.56, 1.8, 9.99], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [670.11, 189.77, 777.05, 274.71], \"box_3d\": [1.54, 1.6, 3.52, 2.25, 1.93, 15.36], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [449.02, 187.12, 535.12, 261.03], \"box_3d\": [1.54, 1.5, 3.48, -2.76, 1.91, 17.24], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [479.73, 186.94, 547.47, 238.96], \"box_3d\": [1.44, 1.63, 3.32, -2.95, 1.9, 22.34], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [654.31, 184.86, 726.06, 240.73], \"box_3d\": [1.55, 1.55, 3.27, 2.35, 1.93, 22.14], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [636.74, 186.69, 691.2, 230.76], \"box_3d\": [1.48, 1.6, 3.79, 1.91, 2.03, 27.0], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [524.87, 185.58, 563.02, 217.95], \"box_3d\": [1.56, 1.55, 3.64, -3.41, 2.24, 37.46], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [547.18, 177.05, 580.74, 210.91], \"box_3d\": [1.91, 1.66, 4.22, -2.72, 2.17, 43.08], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [560.37, 179.67, 591.66, 208.01], \"box_3d\": [1.83, 1.69, 4.28, -2.28, 2.3, 49.02], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 382, + "data_source": "Mono3DRefer", + "scene_name": "000950", + "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 ��). 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\": [540.2, 186.06, 568.58, 214.59], \"box_3d\": [1.68, 1.63, 3.9, -3.58, 2.54, 45.71], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 383, + "data_source": "Mono3DRefer", + "scene_name": "000951", + "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\": [159.13, 186.76, 316.12, 260.55], \"box_3d\": [1.48, 1.71, 4.65, -8.75, 1.84, 17.37], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": -1.0, \"box_2d\": [0.12, 165.41, 200.99, 264.21], \"box_3d\": [2.04, 1.66, 4.62, -11.97, 1.92, 17.34], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [404.21, 171.04, 470.78, 217.94], \"box_3d\": [1.42, 1.64, 3.95, -5.72, 1.4, 24.15], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": -1.9, \"box_2d\": [729.04, 171.75, 852.09, 236.91], \"box_3d\": [1.51, 1.72, 4.5, 4.58, 1.52, 19.2], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [572.27, 161.95, 611.42, 198.88], \"box_3d\": [1.7, 1.8, 4.5, -0.95, 1.22, 35.74], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.96, \"box_2d\": [805.75, 162.56, 936.29, 230.6], \"box_3d\": [1.64, 1.73, 4.43, 6.94, 1.42, 19.82], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -2.08, \"box_2d\": [892.49, 171.92, 1049.68, 229.86], \"box_3d\": [1.38, 1.8, 4.49, 9.6, 1.39, 19.74], \"ry\": -1.64}]\n```" + } + ] + }, + { + "id": 384, + "data_source": "Mono3DRefer", + "scene_name": "000952", + "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\": [1052.37, 179.61, 1209.11, 263.49], \"box_3d\": [1.47, 1.6, 3.66, 10.56, 1.62, 14.61], \"ry\": -0.66}, {\"category\": \"Car\", \"angle\": -0.86, \"box_2d\": [577.72, 168.44, 893.86, 359.62], \"box_3d\": [1.6, 1.57, 3.23, 1.38, 1.58, 7.68], \"ry\": -0.69}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [839.56, 167.77, 1067.47, 299.57], \"box_3d\": [1.57, 1.5, 3.68, 4.97, 1.52, 10.33], \"ry\": 2.46}]\n```" + } + ] + }, + { + "id": 385, + "data_source": "Mono3DRefer", + "scene_name": "000954", + "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\": -1.91, \"box_2d\": [762.07, 159.9, 989.43, 312.81], \"box_3d\": [1.64, 1.69, 3.3, 3.19, 1.53, 9.49], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 386, + "data_source": "Mono3DRefer", + "scene_name": "000955", + "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\": 0.36, \"box_2d\": [235.76, 183.17, 390.22, 241.04], \"box_3d\": [1.52, 1.64, 3.7, -8.36, 1.84, 20.43], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -2.73, \"box_2d\": [307.68, 183.82, 428.31, 228.58], \"box_3d\": [1.5, 1.62, 3.69, -8.54, 1.91, 25.49], \"ry\": -3.05}, {\"category\": \"Car\", \"angle\": 1.44, \"box_2d\": [885.78, 162.78, 921.38, 185.62], \"box_3d\": [1.51, 1.7, 4.45, 20.46, 0.86, 50.46], \"ry\": 1.82}]\n```" + } + ] + }, + { + "id": 387, + "data_source": "Mono3DRefer", + "scene_name": "000960", + "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\": [551.18, 178.6, 576.02, 197.25], \"box_3d\": [1.45, 1.77, 4.04, -3.77, 1.94, 58.91], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 388, + "data_source": "Mono3DRefer", + "scene_name": "000962", + "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\": [636.56, 175.95, 663.41, 198.34], \"box_3d\": [1.42, 1.45, 3.2, 2.6, 1.64, 47.77], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [684.67, 182.62, 764.91, 240.58], \"box_3d\": [1.38, 1.49, 3.32, 2.91, 1.65, 19.14], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.05, \"box_2d\": [829.38, 185.73, 1238.19, 374.0], \"box_3d\": [1.5, 1.62, 3.89, 3.58, 1.65, 7.08], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [701.33, 175.12, 737.13, 200.1], \"box_3d\": [1.43, 1.48, 3.25, 6.52, 1.59, 43.48], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [751.8, 176.57, 819.57, 214.29], \"box_3d\": [1.44, 1.56, 3.96, 7.15, 1.61, 29.87], \"ry\": -1.65}]\n```" + } + ] + }, + { + "id": 389, + "data_source": "Mono3DRefer", + "scene_name": "000968", + "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\": [592.53, 176.62, 628.22, 200.99], \"box_3d\": [1.44, 1.68, 4.39, 0.05, 1.69, 45.14], \"ry\": 1.7}]\n```" + } + ] + }, + { + "id": 390, + "data_source": "Mono3DRefer", + "scene_name": "000973", + "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\": [746.37, 192.28, 1016.45, 356.87], \"box_3d\": [1.52, 1.54, 4.5, 3.06, 1.82, 9.35], \"ry\": -1.63}]\n```" + } + ] + }, + { + "id": 391, + "data_source": "Mono3DRefer", + "scene_name": "000974", + "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\": [600.07, 176.31, 629.48, 204.63], \"box_3d\": [1.66, 1.73, 3.05, 0.26, 1.89, 44.36], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [356.61, 184.82, 406.28, 212.61], \"box_3d\": [1.44, 1.63, 3.43, -12.7, 2.13, 40.17], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 392, + "data_source": "Mono3DRefer", + "scene_name": "000976", + "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\": [400.47, 183.04, 525.97, 278.57], \"box_3d\": [1.46, 1.63, 4.47, -2.61, 1.67, 13.57], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [502.14, 169.74, 576.7, 224.18], \"box_3d\": [1.7, 1.82, 4.45, -2.36, 1.63, 24.91], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": -1.05, \"box_2d\": [637.33, 171.85, 686.64, 201.83], \"box_3d\": [1.57, 1.56, 2.62, 2.83, 1.53, 39.36], \"ry\": -0.97}]\n```" + } + ] + }, + { + "id": 393, + "data_source": "Mono3DRefer", + "scene_name": "000977", + "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\": [0.0, 202.07, 257.92, 374.0], \"box_3d\": [1.58, 1.76, 4.18, -4.4, 1.86, 5.18], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": -0.65, \"box_2d\": [1072.59, 111.3, 1241.0, 225.67], \"box_3d\": [1.9, 1.78, 4.72, 11.22, 0.87, 12.9], \"ry\": 0.05}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [379.22, 189.75, 492.79, 260.4], \"box_3d\": [1.42, 1.67, 3.8, -4.02, 1.86, 17.11], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [209.32, 188.44, 436.01, 317.25], \"box_3d\": [1.55, 1.71, 4.5, -4.21, 1.83, 11.32], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.37, \"box_2d\": [733.72, 170.63, 819.1, 224.14], \"box_3d\": [1.5, 1.71, 4.44, 5.05, 1.47, 22.63], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [453.38, 182.82, 528.33, 235.57], \"box_3d\": [1.54, 1.63, 3.59, -3.8, 1.88, 23.29], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [504.67, 184.58, 552.34, 222.41], \"box_3d\": [1.42, 1.46, 3.63, -3.32, 1.92, 29.57], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [517.73, 184.08, 560.68, 216.71], \"box_3d\": [1.43, 1.66, 4.19, -3.37, 1.99, 34.66], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [645.72, 178.52, 689.2, 214.05], \"box_3d\": [1.58, 1.71, 3.75, 2.74, 1.86, 34.17], \"ry\": -1.4}, {\"category\": \"Car\", \"angle\": -0.15, \"box_2d\": [725.27, 170.78, 849.39, 213.34], \"box_3d\": [1.49, 1.57, 4.26, 6.46, 1.45, 26.76], \"ry\": 0.08}, {\"category\": \"Car\", \"angle\": -0.99, \"box_2d\": [687.44, 176.24, 740.44, 205.07], \"box_3d\": [1.61, 1.6, 3.11, 6.08, 1.82, 42.18], \"ry\": -0.84}]\n```" + } + ] + }, + { + "id": 394, + "data_source": "Mono3DRefer", + "scene_name": "000978", + "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\": [439.76, 194.95, 517.78, 270.88], \"box_3d\": [1.65, 1.75, 3.39, -3.28, 2.25, 18.27], \"ry\": 1.43}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [476.47, 194.86, 535.3, 245.55], \"box_3d\": [1.57, 1.54, 4.01, -3.67, 2.4, 25.72], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 395, + "data_source": "Mono3DRefer", + "scene_name": "000983", + "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\": [715.8, 190.09, 860.92, 299.6], \"box_3d\": [1.37, 1.59, 3.22, 2.51, 1.66, 10.99], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [507.7, 181.68, 570.26, 223.46], \"box_3d\": [1.4, 1.67, 3.72, -2.56, 1.74, 26.46], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": 1.51, \"box_2d\": [642.75, 178.07, 673.96, 204.16], \"box_3d\": [1.49, 1.61, 3.74, 2.84, 1.81, 43.42], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.62, \"box_2d\": [26.26, 168.08, 342.31, 270.94], \"box_3d\": [1.59, 1.63, 4.43, -7.13, 1.55, 12.29], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [448.21, 171.65, 541.42, 246.52], \"box_3d\": [1.7, 1.63, 4.08, -2.88, 1.7, 18.58], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.91, \"box_2d\": [776.6, 184.16, 1088.58, 374.0], \"box_3d\": [1.59, 1.59, 2.47, 2.45, 1.7, 6.17], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 396, + "data_source": "Mono3DRefer", + "scene_name": "000989", + "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\": 1.81, \"box_2d\": [424.49, 177.87, 501.36, 222.53], \"box_3d\": [1.42, 1.78, 3.62, -4.73, 1.31, 24.93], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 397, + "data_source": "Mono3DRefer", + "scene_name": "000993", + "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\": -2.32, \"box_2d\": [757.58, 174.01, 829.51, 202.22], \"box_3d\": [1.62, 1.72, 4.35, 11.09, 1.72, 43.98], \"ry\": -2.07}]\n```" + } + ] + }, + { + "id": 398, + "data_source": "Mono3DRefer", + "scene_name": "001000", + "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\": [798.93, 169.95, 1060.55, 250.42], \"box_3d\": [1.47, 1.77, 4.49, 6.27, 1.45, 14.55], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [561.02, 184.64, 587.94, 208.4], \"box_3d\": [1.52, 1.62, 4.5, -2.5, 2.35, 49.56], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [468.53, 187.25, 501.75, 210.97], \"box_3d\": [1.42, 1.66, 4.5, -8.15, 2.39, 47.26], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 399, + "data_source": "Mono3DRefer", + "scene_name": "001001", + "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\": [400.58, 191.83, 441.15, 230.23], \"box_3d\": [1.65, 1.75, 3.39, -8.99, 2.58, 34.09], \"ry\": 1.3}]\n```" + } + ] + }, + { + "id": 400, + "data_source": "Mono3DRefer", + "scene_name": "001002", + "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\": [607.09, 174.99, 647.58, 215.65], \"box_3d\": [1.57, 1.56, 2.62, 0.68, 1.68, 29.48], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [391.06, 187.26, 506.26, 256.04], \"box_3d\": [1.43, 1.68, 4.19, -3.82, 1.81, 17.63], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [467.49, 180.33, 530.42, 228.14], \"box_3d\": [1.46, 1.59, 4.27, -3.71, 1.72, 24.45], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [511.35, 178.6, 554.75, 207.95], \"box_3d\": [1.38, 1.62, 4.06, -3.85, 1.68, 36.35], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [541.3, 172.58, 569.78, 194.45], \"box_3d\": [1.49, 1.53, 3.88, -3.88, 1.5, 51.64], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 401, + "data_source": "Mono3DRefer", + "scene_name": "001003", + "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\": 0.75, \"box_2d\": [0.0, 206.78, 324.17, 374.0], \"box_3d\": [1.38, 1.66, 4.38, -5.02, 1.72, 6.21], \"ry\": 0.09}, {\"category\": \"Car\", \"angle\": -0.73, \"box_2d\": [926.19, 141.69, 1241.0, 374.0], \"box_3d\": [1.74, 1.66, 4.37, 4.71, 1.56, 5.01], \"ry\": -0.0}, {\"category\": \"Car\", \"angle\": -2.74, \"box_2d\": [273.5, 182.7, 480.59, 250.25], \"box_3d\": [1.47, 1.67, 4.28, -5.39, 1.72, 16.83], \"ry\": -3.05}, {\"category\": \"Car\", \"angle\": -3.01, \"box_2d\": [362.85, 181.79, 516.48, 230.7], \"box_3d\": [1.38, 1.67, 4.37, -5.13, 1.67, 22.04], \"ry\": 3.05}, {\"category\": \"Car\", \"angle\": -0.4, \"box_2d\": [823.68, 170.37, 1060.18, 271.26], \"box_3d\": [1.54, 1.58, 3.2, 5.36, 1.53, 12.03], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -0.5, \"box_2d\": [852.36, 170.37, 1231.56, 296.98], \"box_3d\": [1.51, 1.72, 4.03, 5.52, 1.51, 9.68], \"ry\": 0.01}]\n```" + } + ] + }, + { + "id": 402, + "data_source": "Mono3DRefer", + "scene_name": "001005", + "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\": [709.89, 170.92, 835.41, 263.18], \"box_3d\": [1.64, 1.69, 3.3, 3.12, 1.63, 14.64], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 403, + "data_source": "Mono3DRefer", + "scene_name": "001008", + "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\": 1.63, \"box_2d\": [610.08, 162.36, 649.92, 195.49], \"box_3d\": [1.49, 1.68, 4.08, 1.43, 0.62, 34.68], \"ry\": 1.66}]\n```" + } + ] + }, + { + "id": 404, + "data_source": "Mono3DRefer", + "scene_name": "001009", + "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\": -1.45, \"box_2d\": [525.22, 169.11, 574.76, 207.01], \"box_3d\": [1.47, 1.59, 4.03, -2.1, 0.99, 30.15], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.49, \"box_2d\": [555.11, 170.81, 587.12, 196.89], \"box_3d\": [1.41, 1.54, 3.36, -1.68, 0.83, 40.86], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [609.38, 165.49, 640.33, 193.27], \"box_3d\": [1.52, 1.67, 4.38, 1.43, 0.64, 42.05], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [398.33, 172.98, 477.3, 222.57], \"box_3d\": [1.44, 1.55, 3.93, -5.15, 1.19, 23.02], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.52, \"box_2d\": [581.42, 164.08, 605.69, 186.52], \"box_3d\": [1.56, 1.59, 3.65, -0.52, 0.34, 52.4], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 405, + "data_source": "Mono3DRefer", + "scene_name": "001012", + "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\": [0.0, 184.27, 361.81, 374.0], \"box_3d\": [1.52, 1.61, 3.59, -3.47, 1.63, 5.96], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.17, \"box_2d\": [755.48, 188.1, 1191.01, 374.0], \"box_3d\": [1.51, 1.65, 4.28, 2.62, 1.68, 6.55], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [376.92, 178.87, 498.99, 260.59], \"box_3d\": [1.48, 1.64, 3.95, -3.49, 1.61, 15.16], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [682.87, 187.19, 791.28, 261.44], \"box_3d\": [1.35, 1.64, 3.84, 2.56, 1.69, 15.57], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [654.95, 182.52, 711.84, 226.32], \"box_3d\": [1.42, 1.59, 4.19, 2.52, 1.78, 25.93], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [481.55, 179.45, 536.88, 221.67], \"box_3d\": [1.42, 1.64, 3.63, -3.65, 1.67, 26.36], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 406, + "data_source": "Mono3DRefer", + "scene_name": "001018", + "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\": [716.81, 184.62, 907.47, 300.32], \"box_3d\": [1.4, 1.61, 4.37, 2.81, 1.6, 11.2], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 407, + "data_source": "Mono3DRefer", + "scene_name": "001020", + "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\": -1.17, \"box_2d\": [3.77, 189.5, 446.2, 373.0], \"box_3d\": [1.47, 1.59, 4.03, -2.61, 1.57, 6.08], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.38, \"box_2d\": [421.39, 178.87, 521.95, 251.31], \"box_3d\": [1.41, 1.54, 3.36, -2.76, 1.36, 15.77], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [580.76, 170.42, 636.21, 221.0], \"box_3d\": [1.52, 1.67, 4.38, 0.23, 1.19, 24.07], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.49, \"box_2d\": [534.79, 169.21, 578.81, 207.77], \"box_3d\": [1.56, 1.59, 3.65, -1.89, 1.06, 31.24], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [495.91, 173.14, 531.34, 194.5], \"box_3d\": [1.34, 1.76, 3.98, -5.78, 0.81, 47.8], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 408, + "data_source": "Mono3DRefer", + "scene_name": "001021", + "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\": [384.01, 183.15, 468.79, 246.74], \"box_3d\": [1.41, 1.57, 3.53, -4.56, 1.69, 18.18], \"ry\": 1.47}, {\"category\": \"Car\", \"angle\": 2.59, \"box_2d\": [503.59, 176.14, 582.13, 203.3], \"box_3d\": [1.47, 1.72, 4.22, -3.87, 1.68, 41.58], \"ry\": 2.5}, {\"category\": \"Car\", \"angle\": 1.11, \"box_2d\": [343.9, 182.9, 434.63, 222.63], \"box_3d\": [1.42, 1.71, 4.14, -8.74, 1.84, 28.25], \"ry\": 0.81}, {\"category\": \"Car\", \"angle\": 2.68, \"box_2d\": [620.38, 173.53, 701.9, 198.66], \"box_3d\": [1.48, 1.87, 4.74, 3.18, 1.55, 45.14], \"ry\": 2.75}]\n```" + } + ] + }, + { + "id": 409, + "data_source": "Mono3DRefer", + "scene_name": "001024", + "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\": 2.19, \"box_2d\": [0.0, 193.19, 36.95, 231.64], \"box_3d\": [1.42, 1.68, 3.38, -24.01, 2.24, 27.55], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 2.19, \"box_2d\": [19.57, 191.48, 118.1, 225.78], \"box_3d\": [1.38, 1.52, 4.0, -24.38, 2.26, 32.63], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [108.31, 186.17, 174.1, 218.0], \"box_3d\": [1.57, 1.47, 3.35, -24.86, 2.3, 38.33], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [161.19, 188.01, 214.59, 213.72], \"box_3d\": [1.43, 1.48, 3.33, -25.25, 2.36, 43.22], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [205.4, 186.39, 258.46, 211.98], \"box_3d\": [1.62, 1.6, 4.18, -25.72, 2.57, 49.18], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [249.91, 183.27, 291.74, 203.43], \"box_3d\": [1.48, 1.35, 3.93, -26.3, 2.31, 56.03], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 410, + "data_source": "Mono3DRefer", + "scene_name": "001025", + "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\": [640.98, 186.87, 666.75, 207.47], \"box_3d\": [1.41, 1.58, 4.36, 3.19, 2.47, 53.45], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [190.27, 172.08, 431.56, 317.88], \"box_3d\": [1.5, 1.62, 4.19, -3.69, 1.52, 9.63], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 411, + "data_source": "Mono3DRefer", + "scene_name": "001026", + "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\": [507.51, 179.15, 576.33, 227.78], \"box_3d\": [1.45, 1.62, 3.83, -2.18, 1.67, 23.62], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [585.47, 174.72, 618.38, 202.34], \"box_3d\": [1.43, 1.66, 3.67, -0.43, 1.56, 39.73], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 412, + "data_source": "Mono3DRefer", + "scene_name": "001028", + "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\": -2.05, \"box_2d\": [843.99, 192.18, 1223.0, 369.0], \"box_3d\": [1.4, 1.5, 3.72, 3.39, 1.55, 6.08], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [769.07, 179.09, 959.56, 291.29], \"box_3d\": [1.52, 1.64, 4.41, 4.08, 1.52, 12.02], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [292.4, 170.21, 381.49, 218.81], \"box_3d\": [1.85, 1.68, 4.11, -10.96, 1.46, 29.2], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [516.58, 178.02, 547.04, 196.29], \"box_3d\": [1.49, 1.58, 3.84, -6.24, 1.3, 60.89], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [699.81, 177.29, 751.02, 226.74], \"box_3d\": [1.54, 1.57, 3.52, 4.05, 1.45, 24.03], \"ry\": -1.41}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [693.18, 180.39, 742.55, 220.34], \"box_3d\": [1.5, 1.63, 3.57, 4.55, 1.52, 29.0], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [684.2, 180.39, 719.96, 212.63], \"box_3d\": [1.47, 1.59, 3.64, 4.75, 1.49, 34.97], \"ry\": -1.47}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [669.55, 180.1, 692.98, 201.07], \"box_3d\": [1.44, 1.58, 3.28, 5.55, 1.44, 51.56], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 413, + "data_source": "Mono3DRefer", + "scene_name": "001030", + "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\": [342.69, 183.4, 455.01, 246.28], \"box_3d\": [1.51, 1.81, 4.07, -5.68, 1.82, 19.81], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 414, + "data_source": "Mono3DRefer", + "scene_name": "001032", + "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\": [642.26, 171.96, 681.05, 205.41], \"box_3d\": [1.69, 1.58, 3.95, 2.7, 1.68, 38.83], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [666.55, 178.57, 716.49, 215.93], \"box_3d\": [1.41, 1.57, 3.23, 3.2, 1.65, 29.15], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [760.2, 176.26, 833.85, 216.83], \"box_3d\": [1.45, 1.61, 4.2, 7.17, 1.6, 28.19], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -2.45, \"box_2d\": [801.12, 175.06, 867.43, 202.44], \"box_3d\": [1.48, 1.36, 3.51, 12.66, 1.63, 40.98], \"ry\": -2.15}]\n```" + } + ] + }, + { + "id": 415, + "data_source": "Mono3DRefer", + "scene_name": "001035", + "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\": [828.78, 178.35, 1208.26, 374.0], \"box_3d\": [1.6, 1.65, 3.77, 3.56, 1.67, 7.23], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [444.5, 161.47, 548.47, 258.65], \"box_3d\": [1.86, 1.63, 4.2, -2.41, 1.67, 16.01], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.12, \"box_2d\": [0.0, 209.15, 372.37, 374.0], \"box_3d\": [1.45, 1.46, 3.41, -2.96, 1.77, 4.79], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [714.94, 183.7, 803.06, 240.78], \"box_3d\": [1.37, 1.61, 4.26, 3.94, 1.69, 19.9], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.34, \"box_2d\": [757.48, 181.76, 896.53, 273.6], \"box_3d\": [1.46, 1.44, 4.53, 3.92, 1.65, 13.91], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [558.23, 173.89, 590.94, 204.8], \"box_3d\": [1.51, 1.55, 3.92, -1.83, 1.59, 37.64], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [494.18, 178.27, 563.23, 233.47], \"box_3d\": [1.51, 1.55, 3.71, -2.4, 1.69, 21.76], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [707.39, 179.35, 768.09, 226.25], \"box_3d\": [1.5, 1.53, 3.37, 4.32, 1.74, 25.03], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [691.03, 178.26, 738.99, 214.08], \"box_3d\": [1.47, 1.56, 3.16, 4.52, 1.72, 31.61], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [679.53, 176.83, 720.43, 208.06], \"box_3d\": [1.48, 1.56, 3.62, 4.44, 1.69, 36.28], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 416, + "data_source": "Mono3DRefer", + "scene_name": "001040", + "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\": 2.18, \"box_2d\": [0.0, 197.78, 215.83, 305.14], \"box_3d\": [1.53, 1.66, 4.01, -9.08, 2.03, 12.99], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.04, \"box_2d\": [174.04, 191.53, 317.79, 260.89], \"box_3d\": [1.48, 1.6, 3.9, -9.02, 1.99, 18.17], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [412.01, 180.61, 466.15, 213.51], \"box_3d\": [1.61, 1.67, 4.56, -8.94, 2.03, 37.98], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 417, + "data_source": "Mono3DRefer", + "scene_name": "001041", + "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\": [92.56, 197.39, 440.65, 374.0], \"box_3d\": [1.42, 1.66, 4.11, -3.05, 1.73, 7.35], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [547.36, 161.37, 575.39, 189.75], \"box_3d\": [1.97, 1.87, 4.53, -3.54, 1.2, 52.85], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 418, + "data_source": "Mono3DRefer", + "scene_name": "001042", + "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\": [288.42, 168.87, 462.44, 274.57], \"box_3d\": [1.76, 1.77, 4.41, -4.42, 1.72, 14.26], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [443.04, 183.24, 538.53, 238.91], \"box_3d\": [1.48, 1.65, 4.4, -3.49, 1.81, 21.71], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [573.12, 180.58, 614.56, 209.28], \"box_3d\": [1.42, 1.66, 3.64, -0.83, 1.83, 37.89], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [655.23, 178.01, 686.05, 195.74], \"box_3d\": [1.44, 1.64, 3.78, 5.14, 1.89, 60.94], \"ry\": 1.92}]\n```" + } + ] + }, + { + "id": 419, + "data_source": "Mono3DRefer", + "scene_name": "001045", + "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\": -1.52, \"box_2d\": [560.18, 179.24, 617.82, 225.04], \"box_3d\": [1.36, 1.69, 3.38, -0.65, 1.58, 23.45], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -2.37, \"box_2d\": [90.7, 174.19, 370.46, 294.19], \"box_3d\": [1.66, 1.63, 3.83, -5.95, 1.71, 11.31], \"ry\": -2.85}, {\"category\": \"Car\", \"angle\": -2.29, \"box_2d\": [352.37, 178.09, 478.66, 228.2], \"box_3d\": [1.45, 1.61, 3.96, -6.2, 1.64, 22.71], \"ry\": -2.56}, {\"category\": \"Car\", \"angle\": -2.27, \"box_2d\": [393.5, 179.62, 497.27, 220.82], \"box_3d\": [1.36, 1.57, 3.73, -5.95, 1.63, 25.77], \"ry\": -2.5}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [515.95, 179.71, 564.03, 210.72], \"box_3d\": [1.25, 1.74, 3.66, -3.01, 1.56, 31.32], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [580.59, 174.91, 619.62, 210.53], \"box_3d\": [1.52, 1.67, 3.61, -0.47, 1.63, 32.87], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 420, + "data_source": "Mono3DRefer", + "scene_name": "001047", + "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\": [690.66, 173.77, 735.18, 196.56], \"box_3d\": [1.62, 1.72, 4.35, 7.63, 1.72, 54.05], \"ry\": -1.83}]\n```" + } + ] + }, + { + "id": 421, + "data_source": "Mono3DRefer", + "scene_name": "001051", + "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\": [536.66, 199.09, 576.82, 236.7], \"box_3d\": [1.5, 1.62, 4.19, -2.43, 2.78, 33.33], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 422, + "data_source": "Mono3DRefer", + "scene_name": "001052", + "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\": -1.52, \"box_2d\": [555.03, 183.98, 611.86, 229.69], \"box_3d\": [1.36, 1.69, 3.38, -0.85, 1.75, 23.77], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -2.53, \"box_2d\": [271.15, 176.47, 449.53, 250.64], \"box_3d\": [1.66, 1.63, 3.83, -6.06, 1.77, 17.46], \"ry\": -2.86}, {\"category\": \"Car\", \"angle\": -2.35, \"box_2d\": [402.11, 178.71, 502.87, 217.41], \"box_3d\": [1.45, 1.61, 3.96, -6.37, 1.71, 28.89], \"ry\": -2.57}, {\"category\": \"Car\", \"angle\": -2.31, \"box_2d\": [430.44, 181.84, 515.37, 214.78], \"box_3d\": [1.36, 1.57, 3.73, -6.12, 1.78, 31.87], \"ry\": -2.5}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [528.28, 181.17, 567.29, 206.89], \"box_3d\": [1.25, 1.74, 3.66, -3.21, 1.69, 37.49], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [578.26, 179.04, 617.44, 214.79], \"box_3d\": [1.52, 1.67, 3.61, -0.56, 1.81, 32.76], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 423, + "data_source": "Mono3DRefer", + "scene_name": "001053", + "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\": [401.3, 185.01, 440.42, 204.85], \"box_3d\": [1.46, 1.86, 4.01, -14.8, 2.43, 56.58], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 424, + "data_source": "Mono3DRefer", + "scene_name": "001054", + "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\": -1.63, \"box_2d\": [518.39, 182.61, 540.51, 200.41], \"box_3d\": [1.37, 1.54, 3.56, -6.38, 1.17, 58.22], \"ry\": -1.74}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [557.67, 178.77, 643.58, 248.25], \"box_3d\": [1.6, 1.76, 3.84, -0.33, 1.45, 18.74], \"ry\": -1.71}, {\"category\": \"Car\", \"angle\": -1.07, \"box_2d\": [0.0, 200.33, 204.23, 364.62], \"box_3d\": [1.36, 1.61, 3.76, -6.29, 1.59, 8.17], \"ry\": -1.71}, {\"category\": \"Car\", \"angle\": -1.26, \"box_2d\": [177.77, 191.2, 330.99, 274.65], \"box_3d\": [1.37, 1.59, 3.89, -6.93, 1.53, 14.45], \"ry\": -1.7}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [462.22, 180.88, 514.78, 229.8], \"box_3d\": [1.58, 1.68, 3.95, -4.26, 1.43, 25.49], \"ry\": -1.74}, {\"category\": \"Car\", \"angle\": -1.37, \"box_2d\": [290.34, 184.7, 377.93, 235.37], \"box_3d\": [1.42, 1.69, 4.53, -8.64, 1.42, 22.99], \"ry\": -1.72}, {\"category\": \"Car\", \"angle\": -1.25, \"box_2d\": [186.78, 185.04, 287.71, 233.76], \"box_3d\": [1.42, 1.7, 4.13, -12.06, 1.43, 23.62], \"ry\": -1.72}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [370.12, 183.27, 417.41, 215.28], \"box_3d\": [1.42, 1.53, 4.2, -10.3, 1.34, 34.77], \"ry\": -1.7}, {\"category\": \"Car\", \"angle\": -1.45, \"box_2d\": [396.72, 183.18, 432.9, 208.54], \"box_3d\": [1.43, 1.62, 4.08, -11.64, 1.32, 43.49], \"ry\": -1.71}]\n```" + } + ] + }, + { + "id": 425, + "data_source": "Mono3DRefer", + "scene_name": "001055", + "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\": [735.24, 163.66, 999.61, 327.36], \"box_3d\": [1.51, 1.53, 3.38, 2.7, 1.45, 8.49], \"ry\": -1.7}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [599.45, 166.52, 671.97, 213.45], \"box_3d\": [1.39, 1.54, 3.42, 0.72, 1.22, 23.3], \"ry\": -1.78}, {\"category\": \"Car\", \"angle\": 2.51, \"box_2d\": [541.77, 159.23, 614.13, 189.88], \"box_3d\": [1.56, 1.39, 3.73, -1.7, 0.87, 38.41], \"ry\": 2.47}, {\"category\": \"Car\", \"angle\": -0.86, \"box_2d\": [663.51, 158.74, 741.24, 192.66], \"box_3d\": [1.56, 1.67, 3.78, 4.49, 0.92, 35.01], \"ry\": -0.74}, {\"category\": \"Car\", \"angle\": -0.96, \"box_2d\": [723.59, 158.16, 793.2, 188.28], \"box_3d\": [1.5, 1.53, 4.04, 7.81, 0.78, 37.92], \"ry\": -0.76}, {\"category\": \"Car\", \"angle\": -0.97, \"box_2d\": [786.44, 159.5, 838.94, 184.85], \"box_3d\": [1.38, 1.28, 3.16, 11.45, 0.66, 40.78], \"ry\": -0.7}, {\"category\": \"Car\", \"angle\": -1.08, \"box_2d\": [823.11, 156.24, 885.88, 185.7], \"box_3d\": [1.7, 1.7, 4.46, 14.91, 0.75, 43.94], \"ry\": -0.76}]\n```" + } + ] + }, + { + "id": 426, + "data_source": "Mono3DRefer", + "scene_name": "001056", + "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\": [632.12, 175.57, 656.04, 195.95], \"box_3d\": [1.42, 1.45, 3.2, 2.42, 1.63, 52.3], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [671.51, 180.94, 737.14, 229.57], \"box_3d\": [1.38, 1.49, 3.32, 2.81, 1.64, 22.37], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.94, \"box_2d\": [776.62, 182.77, 1023.94, 326.48], \"box_3d\": [1.5, 1.62, 3.89, 3.51, 1.65, 9.66], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [734.15, 176.1, 791.67, 209.15], \"box_3d\": [1.44, 1.56, 3.96, 7.06, 1.61, 33.81], \"ry\": -1.65}]\n```" + } + ] + }, + { + "id": 427, + "data_source": "Mono3DRefer", + "scene_name": "001059", + "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\": [40.81, 193.18, 113.18, 224.54], \"box_3d\": [1.43, 1.48, 3.33, -26.77, 2.49, 36.31], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 2.16, \"box_2d\": [102.06, 187.62, 176.88, 217.77], \"box_3d\": [1.62, 1.6, 4.18, -27.47, 2.51, 42.23], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [169.45, 188.93, 221.66, 212.52], \"box_3d\": [1.48, 1.35, 3.93, -28.17, 2.61, 49.11], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 428, + "data_source": "Mono3DRefer", + "scene_name": "001061", + "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\": [742.25, 181.65, 775.99, 206.43], \"box_3d\": [1.48, 1.8, 4.31, 9.56, 2.07, 46.14], \"ry\": -1.3}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [655.01, 180.18, 688.71, 206.81], \"box_3d\": [1.69, 1.88, 4.5, 4.19, 2.19, 48.52], \"ry\": 1.74}]\n```" + } + ] + }, + { + "id": 429, + "data_source": "Mono3DRefer", + "scene_name": "001063", + "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\": [136.2, 186.67, 270.96, 244.93], \"box_3d\": [1.62, 1.86, 4.31, -12.73, 2.08, 22.88], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [296.43, 182.68, 351.66, 209.12], \"box_3d\": [1.67, 1.82, 4.42, -19.29, 2.36, 48.81], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [407.23, 180.3, 440.69, 200.21], \"box_3d\": [1.63, 1.87, 3.47, -15.86, 2.28, 61.59], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 430, + "data_source": "Mono3DRefer", + "scene_name": "001064", + "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\": [746.23, 174.82, 800.49, 199.56], \"box_3d\": [1.48, 1.36, 3.51, 10.17, 1.63, 45.23], \"ry\": -2.05}]\n```" + } + ] + }, + { + "id": 431, + "data_source": "Mono3DRefer", + "scene_name": "001072", + "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\": [656.07, 177.53, 695.54, 208.95], \"box_3d\": [1.42, 1.45, 3.2, 3.07, 1.66, 34.5], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [750.57, 189.07, 936.56, 306.8], \"box_3d\": [1.38, 1.49, 3.32, 3.13, 1.64, 10.46], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [748.14, 177.09, 802.09, 211.97], \"box_3d\": [1.43, 1.48, 3.25, 7.14, 1.63, 31.6], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -2.02, \"box_2d\": [837.99, 179.42, 970.43, 242.09], \"box_3d\": [1.44, 1.56, 3.96, 7.45, 1.62, 18.79], \"ry\": -1.65}]\n```" + } + ] + }, + { + "id": 432, + "data_source": "Mono3DRefer", + "scene_name": "001073", + "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\": [424.06, 178.06, 498.55, 206.9], \"box_3d\": [1.49, 1.64, 3.7, -8.05, 1.8, 39.14], \"ry\": 3.13}]\n```" + } + ] + }, + { + "id": 433, + "data_source": "Mono3DRefer", + "scene_name": "001074", + "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\": [745.63, 161.59, 934.82, 292.77], \"box_3d\": [1.64, 1.69, 3.3, 3.18, 1.52, 10.78], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 434, + "data_source": "Mono3DRefer", + "scene_name": "001081", + "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\": [668.53, 174.31, 696.2, 192.73], \"box_3d\": [1.45, 1.61, 4.2, 5.92, 1.6, 59.52], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -2.45, \"box_2d\": [799.54, 175.15, 865.73, 202.49], \"box_3d\": [1.48, 1.36, 3.51, 12.59, 1.63, 41.05], \"ry\": -2.16}]\n```" + } + ] + }, + { + "id": 435, + "data_source": "Mono3DRefer", + "scene_name": "001086", + "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\": [537.06, 185.61, 571.09, 214.71], \"box_3d\": [1.55, 1.68, 4.42, -3.22, 2.31, 41.86], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 0.88, \"box_2d\": [902.8, 189.59, 1241.0, 374.0], \"box_3d\": [1.55, 1.47, 3.36, 2.78, 1.66, 3.33], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [444.61, 192.53, 530.53, 263.48], \"box_3d\": [1.46, 1.6, 3.33, -2.87, 1.97, 17.27], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [670.34, 179.86, 761.93, 254.1], \"box_3d\": [1.64, 1.7, 3.54, 2.48, 1.82, 17.89], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [660.0, 188.58, 723.99, 238.4], \"box_3d\": [1.37, 1.51, 3.39, 2.42, 1.88, 22.31], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 436, + "data_source": "Mono3DRefer", + "scene_name": "001087", + "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\": [582.56, 180.78, 614.75, 208.09], \"box_3d\": [1.43, 1.55, 3.91, -0.7, 1.88, 40.17], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": 0.96, \"box_2d\": [1005.15, 189.01, 1241.0, 338.95], \"box_3d\": [1.45, 1.51, 3.7, 6.7, 1.68, 9.09], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.87, \"box_2d\": [701.04, 177.18, 853.58, 230.51], \"box_3d\": [1.51, 1.65, 4.21, 4.97, 1.67, 21.93], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": -0.2, \"box_2d\": [696.84, 177.67, 829.09, 223.96], \"box_3d\": [1.48, 1.49, 4.16, 5.09, 1.67, 24.51], \"ry\": 0.0}, {\"category\": \"Car\", \"angle\": -0.03, \"box_2d\": [674.65, 179.84, 778.42, 215.47], \"box_3d\": [1.51, 1.69, 4.42, 5.09, 1.84, 32.05], \"ry\": 0.12}]\n```" + } + ] + }, + { + "id": 437, + "data_source": "Mono3DRefer", + "scene_name": "001107", + "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\": -0.75, \"box_2d\": [0.0, 221.17, 281.48, 374.0], \"box_3d\": [1.4, 1.67, 3.72, -2.99, 1.7, 2.68], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.44, \"box_2d\": [647.48, 177.36, 726.98, 239.27], \"box_3d\": [1.49, 1.61, 3.74, 1.94, 1.62, 19.4], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -2.95, \"box_2d\": [417.0, 178.0, 514.79, 211.01], \"box_3d\": [1.47, 1.68, 4.26, -6.76, 1.74, 33.95], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": -0.47, \"box_2d\": [918.26, 159.56, 1211.09, 264.51], \"box_3d\": [1.84, 1.6, 4.46, 8.4, 1.64, 13.7], \"ry\": 0.07}]\n```" + } + ] + }, + { + "id": 438, + "data_source": "Mono3DRefer", + "scene_name": "001112", + "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\": 0.38, \"box_2d\": [210.92, 184.56, 376.98, 246.45], \"box_3d\": [1.52, 1.64, 3.7, -8.36, 1.86, 19.2], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -2.71, \"box_2d\": [292.45, 184.87, 419.77, 231.99], \"box_3d\": [1.5, 1.62, 3.69, -8.53, 1.92, 24.27], \"ry\": -3.05}, {\"category\": \"Car\", \"angle\": 1.42, \"box_2d\": [894.3, 162.15, 932.76, 185.75], \"box_3d\": [1.51, 1.7, 4.45, 20.49, 0.85, 48.89], \"ry\": 1.81}]\n```" + } + ] + }, + { + "id": 439, + "data_source": "Mono3DRefer", + "scene_name": "001119", + "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\": [247.64, 202.13, 366.05, 265.63], \"box_3d\": [1.39, 1.59, 3.17, -7.74, 2.2, 18.61], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.01, \"box_2d\": [152.18, 201.88, 304.6, 268.48], \"box_3d\": [1.46, 1.55, 4.28, -10.1, 2.31, 19.41], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 440, + "data_source": "Mono3DRefer", + "scene_name": "001121", + "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\": 1.46, \"box_2d\": [351.45, 188.33, 386.78, 215.92], \"box_3d\": [1.65, 1.75, 3.39, -15.45, 2.66, 46.13], \"ry\": 1.13}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [356.52, 189.69, 472.74, 276.51], \"box_3d\": [1.47, 1.7, 4.39, -3.94, 1.85, 15.06], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 441, + "data_source": "Mono3DRefer", + "scene_name": "001122", + "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\": [325.84, 178.85, 371.06, 202.22], \"box_3d\": [1.58, 1.64, 3.88, -18.52, 2.02, 51.19], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [354.4, 180.4, 396.96, 199.57], \"box_3d\": [1.43, 1.81, 4.16, -18.34, 2.03, 56.6], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 442, + "data_source": "Mono3DRefer", + "scene_name": "001125", + "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\": 2.48, \"box_2d\": [947.8, 162.36, 1241.0, 336.23], \"box_3d\": [1.76, 1.71, 4.4, 6.45, 1.66, 8.29], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -2.4, \"box_2d\": [0.0, 188.69, 137.68, 349.48], \"box_3d\": [1.4, 1.46, 3.23, -6.79, 1.58, 7.09], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -2.72, \"box_2d\": [144.52, 180.03, 400.86, 260.91], \"box_3d\": [1.46, 1.61, 4.31, -6.57, 1.63, 14.25], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": -2.96, \"box_2d\": [288.24, 169.08, 471.42, 242.12], \"box_3d\": [1.8, 1.77, 4.41, -6.06, 1.74, 19.31], \"ry\": 3.02}, {\"category\": \"Car\", \"angle\": -2.92, \"box_2d\": [423.46, 173.62, 499.82, 208.12], \"box_3d\": [1.58, 1.54, 3.3, -7.08, 1.64, 34.47], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.18, \"box_2d\": [441.13, 172.79, 526.21, 207.02], \"box_3d\": [1.68, 1.71, 4.07, -6.49, 1.71, 37.19], \"ry\": 0.01}]\n```" + } + ] + }, + { + "id": 443, + "data_source": "Mono3DRefer", + "scene_name": "001126", + "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\": [442.17, 174.06, 494.78, 227.32], \"box_3d\": [1.68, 1.63, 3.9, -4.88, 1.75, 25.04], \"ry\": 1.42}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [447.24, 180.03, 487.94, 208.86], \"box_3d\": [1.47, 1.7, 4.39, -7.87, 1.88, 39.46], \"ry\": 1.27}]\n```" + } + ] + }, + { + "id": 444, + "data_source": "Mono3DRefer", + "scene_name": "001128", + "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\": [638.63, 178.15, 673.6, 206.26], \"box_3d\": [1.38, 1.49, 3.32, 2.32, 1.67, 37.43], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [676.8, 177.34, 747.4, 228.05], \"box_3d\": [1.5, 1.62, 3.89, 3.21, 1.67, 23.59], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.05, \"box_2d\": [834.68, 162.34, 1241.0, 374.0], \"box_3d\": [1.69, 1.58, 3.95, 3.61, 1.65, 7.05], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -2.71, \"box_2d\": [911.0, 177.09, 996.49, 209.04], \"box_3d\": [1.48, 1.36, 3.51, 16.76, 1.71, 35.34], \"ry\": -2.27}]\n```" + } + ] + }, + { + "id": 445, + "data_source": "Mono3DRefer", + "scene_name": "001134", + "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\": [421.55, 190.86, 543.65, 265.57], \"box_3d\": [1.42, 1.66, 3.64, -2.75, 1.86, 16.15], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [617.33, 180.64, 665.18, 208.59], \"box_3d\": [1.44, 1.64, 3.78, 1.74, 1.88, 39.58], \"ry\": 1.89}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [769.8, 177.81, 796.17, 199.46], \"box_3d\": [1.45, 1.71, 3.93, 12.13, 1.81, 50.62], \"ry\": -1.32}]\n```" + } + ] + }, + { + "id": 446, + "data_source": "Mono3DRefer", + "scene_name": "001135", + "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\": [688.83, 190.67, 812.75, 275.74], \"box_3d\": [1.41, 1.58, 4.36, 2.66, 1.81, 14.81], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 447, + "data_source": "Mono3DRefer", + "scene_name": "001137", + "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\": [817.46, 171.98, 888.89, 232.04], \"box_3d\": [1.56, 1.65, 3.69, 6.84, 1.56, 20.71], \"ry\": -1.32}, {\"category\": \"Car\", \"angle\": 2.25, \"box_2d\": [120.62, 186.63, 420.87, 306.75], \"box_3d\": [1.42, 1.67, 4.53, -4.93, 1.67, 11.24], \"ry\": 1.85}]\n```" + } + ] + }, + { + "id": 448, + "data_source": "Mono3DRefer", + "scene_name": "001147", + "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\": [364.27, 187.73, 505.2, 294.06], \"box_3d\": [1.46, 1.6, 3.33, -2.78, 1.73, 11.93], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [698.25, 175.68, 847.78, 289.35], \"box_3d\": [1.64, 1.7, 3.54, 2.55, 1.71, 12.3], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [677.84, 182.79, 768.35, 249.36], \"box_3d\": [1.37, 1.51, 3.39, 2.49, 1.61, 16.82], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [528.88, 177.16, 568.53, 210.21], \"box_3d\": [1.55, 1.68, 4.42, -3.06, 1.79, 36.44], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 449, + "data_source": "Mono3DRefer", + "scene_name": "001150", + "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\": [251.16, 183.07, 401.23, 270.98], \"box_3d\": [1.45, 1.6, 3.2, -5.3, 1.66, 13.76], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.31, \"box_2d\": [962.46, 190.79, 1241.0, 374.0], \"box_3d\": [1.51, 1.61, 3.51, 3.4, 1.63, 3.57], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.97, \"box_2d\": [767.57, 180.19, 1035.7, 330.57], \"box_3d\": [1.49, 1.68, 3.8, 3.32, 1.6, 9.18], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [347.16, 179.67, 455.37, 245.41], \"box_3d\": [1.49, 1.63, 3.68, -5.23, 1.68, 18.41], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [729.47, 177.45, 854.94, 261.92], \"box_3d\": [1.49, 1.61, 3.55, 3.51, 1.6, 14.67], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 450, + "data_source": "Mono3DRefer", + "scene_name": "001152", + "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\": [460.16, 183.49, 498.25, 210.07], \"box_3d\": [1.51, 1.51, 4.15, -7.93, 2.17, 43.87], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 451, + "data_source": "Mono3DRefer", + "scene_name": "001154", + "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\": 2.06, \"box_2d\": [189.45, 194.3, 279.52, 229.9], \"box_3d\": [1.39, 1.82, 4.11, -16.66, 2.4, 32.19], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [363.95, 184.94, 408.43, 209.97], \"box_3d\": [1.45, 1.64, 3.61, -13.88, 2.22, 44.83], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 452, + "data_source": "Mono3DRefer", + "scene_name": "001159", + "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\": [627.62, 174.34, 653.79, 195.78], \"box_3d\": [1.5, 1.62, 3.89, 2.21, 1.64, 53.1], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [666.21, 171.23, 725.87, 220.32], \"box_3d\": [1.69, 1.58, 3.95, 3.12, 1.66, 27.09], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [712.38, 181.73, 806.6, 246.92], \"box_3d\": [1.41, 1.57, 3.23, 3.47, 1.63, 17.45], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.99, \"box_2d\": [854.3, 179.29, 1003.62, 249.14], \"box_3d\": [1.45, 1.61, 4.2, 7.37, 1.61, 17.25], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.47, \"box_2d\": [807.36, 175.17, 874.98, 202.85], \"box_3d\": [1.48, 1.36, 3.51, 12.92, 1.63, 40.55], \"ry\": -2.17}]\n```" + } + ] + }, + { + "id": 453, + "data_source": "Mono3DRefer", + "scene_name": "001163", + "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\": 2.17, \"box_2d\": [0.0, 186.86, 396.73, 374.0], \"box_3d\": [1.45, 1.67, 4.43, -2.92, 1.57, 4.4], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -2.15, \"box_2d\": [849.87, 210.66, 1241.0, 374.0], \"box_3d\": [1.47, 1.59, 3.62, 2.83, 1.78, 4.28], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [257.95, 174.6, 467.69, 308.08], \"box_3d\": [1.56, 1.68, 3.69, -3.33, 1.61, 10.35], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.31, \"box_2d\": [726.68, 194.68, 953.71, 341.56], \"box_3d\": [1.44, 1.64, 4.5, 2.75, 1.79, 9.86], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [448.79, 172.79, 525.44, 234.0], \"box_3d\": [1.46, 1.51, 3.24, -3.19, 1.48, 19.01], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [675.51, 179.09, 740.3, 225.31], \"box_3d\": [1.38, 1.59, 4.19, 3.1, 1.59, 23.83], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [496.51, 175.41, 553.08, 216.73], \"box_3d\": [1.38, 1.69, 3.74, -3.06, 1.49, 26.22], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [651.36, 174.08, 680.72, 200.21], \"box_3d\": [1.51, 1.56, 3.81, 3.35, 1.61, 44.0], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 454, + "data_source": "Mono3DRefer", + "scene_name": "001167", + "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\": [286.97, 181.64, 356.33, 215.7], \"box_3d\": [1.58, 1.82, 3.87, -14.29, 2.03, 35.91], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 455, + "data_source": "Mono3DRefer", + "scene_name": "001170", + "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\": [530.92, 164.0, 607.15, 221.47], \"box_3d\": [1.77, 1.75, 4.67, -1.32, 1.53, 24.69], \"ry\": -1.44}, {\"category\": \"Car\", \"angle\": -2.01, \"box_2d\": [68.64, 216.47, 186.07, 292.35], \"box_3d\": [1.72, 1.39, 3.07, -12.72, 2.93, 18.91], \"ry\": -2.6}, {\"category\": \"Car\", \"angle\": -0.65, \"box_2d\": [1057.51, 144.42, 1241.0, 260.09], \"box_3d\": [1.48, 1.63, 3.98, 8.72, 1.12, 10.06], \"ry\": 0.05}, {\"category\": \"Car\", \"angle\": -0.45, \"box_2d\": [883.53, 146.24, 1176.18, 233.16], \"box_3d\": [1.47, 1.52, 4.43, 7.51, 1.04, 13.28], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [591.91, 161.74, 633.34, 196.46], \"box_3d\": [1.6, 1.68, 3.94, 0.15, 1.11, 35.48], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [639.3, 159.22, 660.87, 176.18], \"box_3d\": [1.42, 1.66, 4.11, 3.58, 0.28, 64.15], \"ry\": 1.68}]\n```" + } + ] + }, + { + "id": 456, + "data_source": "Mono3DRefer", + "scene_name": "001172", + "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\": [688.7, 177.89, 741.62, 229.33], \"box_3d\": [1.65, 1.67, 3.64, 3.64, 1.84, 25.06], \"ry\": -1.41}, {\"category\": \"Car\", \"angle\": 2.35, \"box_2d\": [0.0, 183.0, 237.63, 328.11], \"box_3d\": [1.47, 1.57, 4.24, -6.86, 1.62, 9.1], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [422.24, 181.85, 517.79, 229.18], \"box_3d\": [1.4, 1.68, 4.45, -4.54, 1.71, 23.91], \"ry\": 1.73}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [520.91, 181.34, 575.0, 215.41], \"box_3d\": [1.45, 1.62, 3.77, -2.81, 1.86, 33.09], \"ry\": 1.72}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [559.4, 179.49, 598.95, 207.75], \"box_3d\": [1.53, 1.46, 4.18, -1.75, 1.92, 41.48], \"ry\": 1.73}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [586.81, 179.17, 617.43, 202.78], \"box_3d\": [1.59, 1.57, 3.39, -0.54, 2.04, 50.54], \"ry\": 1.73}]\n```" + } + ] + }, + { + "id": 457, + "data_source": "Mono3DRefer", + "scene_name": "001181", + "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\": -1.81, \"box_2d\": [878.21, 187.77, 1046.06, 296.43], \"box_3d\": [1.4, 1.5, 3.72, 5.54, 1.56, 11.5], \"ry\": -1.37}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [850.53, 178.02, 960.06, 250.62], \"box_3d\": [1.52, 1.64, 4.41, 7.16, 1.48, 17.34], \"ry\": -1.36}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [554.79, 169.57, 604.09, 200.54], \"box_3d\": [1.85, 1.68, 4.11, -1.54, 1.19, 44.51], \"ry\": 1.91}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [814.28, 175.57, 857.46, 215.94], \"box_3d\": [1.54, 1.57, 3.52, 9.51, 1.35, 29.04], \"ry\": -1.23}]\n```" + } + ] + }, + { + "id": 458, + "data_source": "Mono3DRefer", + "scene_name": "001182", + "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\": [837.61, 172.88, 1241.0, 374.0], \"box_3d\": [1.46, 1.41, 3.63, 3.18, 1.48, 6.13], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [729.53, 172.17, 838.72, 242.25], \"box_3d\": [1.42, 1.55, 4.36, 3.88, 1.44, 16.95], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [569.62, 181.28, 617.14, 214.34], \"box_3d\": [1.33, 1.71, 4.09, -0.7, 1.72, 31.65], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [594.87, 178.04, 630.43, 204.81], \"box_3d\": [1.42, 1.53, 4.12, 0.17, 1.73, 40.79], \"ry\": -1.45}]\n```" + } + ] + }, + { + "id": 459, + "data_source": "Mono3DRefer", + "scene_name": "001185", + "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\": -1.73, \"box_2d\": [1033.65, 191.58, 1183.93, 292.52], \"box_3d\": [1.4, 1.5, 3.72, 8.61, 1.64, 12.43], \"ry\": -1.13}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [1027.66, 184.43, 1143.76, 259.3], \"box_3d\": [1.52, 1.64, 4.41, 11.58, 1.66, 17.36], \"ry\": -1.14}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [757.36, 175.72, 800.92, 203.38], \"box_3d\": [1.85, 1.68, 4.11, 12.4, 1.54, 50.11], \"ry\": 2.16}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [998.75, 181.33, 1047.09, 223.41], \"box_3d\": [1.54, 1.57, 3.52, 16.79, 1.6, 28.48], \"ry\": -1.05}]\n```" + } + ] + }, + { + "id": 460, + "data_source": "Mono3DRefer", + "scene_name": "001190", + "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\": [783.71, 202.46, 1241.0, 374.0], \"box_3d\": [1.53, 1.59, 3.64, 2.51, 1.82, 5.42], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [484.75, 180.78, 565.81, 247.79], \"box_3d\": [1.63, 1.6, 3.73, -2.24, 1.85, 19.57], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [734.93, 195.8, 865.22, 309.76], \"box_3d\": [1.45, 1.5, 3.26, 2.79, 1.85, 11.34], \"ry\": -1.46}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [694.19, 186.78, 779.63, 261.05], \"box_3d\": [1.59, 1.49, 3.34, 2.95, 1.95, 17.56], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [666.01, 185.66, 732.21, 239.34], \"box_3d\": [1.54, 1.6, 3.52, 2.72, 1.97, 22.99], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [647.68, 184.95, 688.85, 218.59], \"box_3d\": [1.48, 1.6, 3.79, 2.71, 2.08, 34.57], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [574.33, 176.12, 602.26, 204.66], \"box_3d\": [1.91, 1.66, 4.22, -1.5, 2.16, 50.71], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 461, + "data_source": "Mono3DRefer", + "scene_name": "001192", + "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\": [722.77, 184.99, 871.99, 290.89], \"box_3d\": [1.51, 1.56, 3.81, 3.0, 1.74, 12.46], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [688.02, 180.19, 788.51, 252.97], \"box_3d\": [1.57, 1.68, 3.83, 2.98, 1.76, 17.71], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [509.48, 179.58, 550.05, 219.25], \"box_3d\": [1.52, 1.5, 3.85, -3.3, 1.81, 29.83], \"ry\": 1.5}]\n```" + } + ] + }, + { + "id": 462, + "data_source": "Mono3DRefer", + "scene_name": "001194", + "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\": [497.85, 179.81, 525.14, 199.42], \"box_3d\": [1.51, 1.51, 4.15, -7.91, 2.08, 58.06], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 463, + "data_source": "Mono3DRefer", + "scene_name": "001197", + "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\": [507.05, 177.97, 545.05, 210.62], \"box_3d\": [1.7, 1.72, 4.11, -4.63, 2.0, 40.04], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 464, + "data_source": "Mono3DRefer", + "scene_name": "001201", + "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, 184.07, 85.04, 234.86], \"box_3d\": [1.58, 1.64, 3.88, -20.09, 1.98, 24.52], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.17, \"box_2d\": [67.31, 185.31, 179.24, 223.52], \"box_3d\": [1.43, 1.81, 4.16, -20.09, 1.97, 29.96], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [180.29, 180.89, 257.37, 211.35], \"box_3d\": [1.47, 1.67, 4.31, -20.22, 1.9, 37.44], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [247.13, 180.1, 299.93, 206.28], \"box_3d\": [1.48, 1.44, 3.59, -20.01, 1.92, 42.98], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [288.3, 180.41, 335.64, 202.72], \"box_3d\": [1.42, 1.68, 3.38, -19.91, 1.94, 48.27], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [354.14, 177.17, 388.21, 197.06], \"box_3d\": [1.57, 1.47, 3.35, -19.61, 1.94, 59.29], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 465, + "data_source": "Mono3DRefer", + "scene_name": "001206", + "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\": [551.11, 185.85, 736.26, 361.07], \"box_3d\": [1.49, 1.6, 3.83, 0.24, 1.66, 8.22], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.36, \"box_2d\": [394.24, 179.82, 507.47, 251.17], \"box_3d\": [1.46, 1.73, 4.19, -3.64, 1.64, 17.06], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [697.37, 176.79, 763.13, 219.89], \"box_3d\": [1.42, 1.66, 4.18, 4.24, 1.59, 26.23], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 466, + "data_source": "Mono3DRefer", + "scene_name": "001215", + "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\": 0.21, \"box_2d\": [120.46, 189.03, 484.96, 309.67], \"box_3d\": [1.45, 1.68, 4.53, -4.15, 1.72, 10.33], \"ry\": -0.17}]\n```" + } + ] + }, + { + "id": 467, + "data_source": "Mono3DRefer", + "scene_name": "001217", + "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\": [227.13, 196.68, 469.41, 343.38], \"box_3d\": [1.4, 1.67, 3.72, -3.09, 1.76, 9.23], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [631.88, 185.03, 687.15, 230.4], \"box_3d\": [1.49, 1.61, 3.74, 1.69, 1.95, 26.16], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 468, + "data_source": "Mono3DRefer", + "scene_name": "001218", + "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\": [200.75, 188.84, 302.11, 233.27], \"box_3d\": [1.51, 1.86, 3.91, -13.56, 2.15, 27.48], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [288.62, 185.97, 349.5, 213.64], \"box_3d\": [1.51, 1.88, 4.32, -17.25, 2.32, 42.92], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 469, + "data_source": "Mono3DRefer", + "scene_name": "001223", + "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\": 2.77, \"box_2d\": [734.8, 159.89, 940.52, 232.68], \"box_3d\": [1.73, 1.74, 4.71, 5.71, 1.44, 18.54], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": -0.64, \"box_2d\": [1049.81, 146.91, 1166.89, 182.26], \"box_3d\": [1.51, 1.64, 4.17, 22.32, 0.4, 32.44], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": -0.61, \"box_2d\": [1020.25, 148.81, 1132.58, 181.9], \"box_3d\": [1.52, 1.6, 4.42, 22.42, 0.41, 34.81], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": -0.53, \"box_2d\": [994.99, 150.16, 1106.41, 183.23], \"box_3d\": [1.62, 1.77, 4.64, 22.7, 0.51, 37.31], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [451.16, 182.92, 507.9, 227.58], \"box_3d\": [1.58, 1.76, 4.18, -5.03, 1.98, 28.1], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [537.85, 177.02, 579.79, 209.73], \"box_3d\": [1.65, 1.88, 4.45, -2.73, 1.89, 38.98], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -0.26, \"box_2d\": [764.36, 159.01, 866.82, 198.0], \"box_3d\": [1.9, 1.78, 4.72, 10.44, 1.24, 36.95], \"ry\": 0.02}, {\"category\": \"Car\", \"angle\": -2.0, \"box_2d\": [891.41, 151.05, 942.47, 180.42], \"box_3d\": [1.8, 1.65, 3.55, 19.63, 0.48, 46.32], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.02, \"box_2d\": [925.4, 154.65, 981.16, 181.36], \"box_3d\": [1.64, 1.7, 3.91, 22.14, 0.54, 46.73], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [474.71, 184.05, 524.55, 219.46], \"box_3d\": [1.55, 1.71, 4.5, -5.27, 2.11, 34.73], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.44, \"box_2d\": [648.8, 174.17, 684.76, 199.03], \"box_3d\": [1.5, 1.71, 4.44, 3.56, 1.61, 46.21], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [605.08, 178.94, 630.87, 199.58], \"box_3d\": [1.58, 1.71, 3.75, 0.65, 2.08, 57.65], \"ry\": -1.47}]\n```" + } + ] + }, + { + "id": 470, + "data_source": "Mono3DRefer", + "scene_name": "001224", + "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\": [404.04, 205.12, 446.44, 243.93], \"box_3d\": [1.37, 1.61, 4.26, -7.95, 2.82, 30.71], \"ry\": -1.85}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [278.72, 202.89, 308.89, 230.62], \"box_3d\": [1.51, 1.55, 3.92, -19.66, 3.45, 44.9], \"ry\": 1.2}, {\"category\": \"Car\", \"angle\": -2.23, \"box_2d\": [680.72, 205.73, 1234.85, 374.0], \"box_3d\": [1.47, 1.58, 3.55, 1.93, 1.77, 5.23], \"ry\": -1.9}, {\"category\": \"Car\", \"angle\": -1.94, \"box_2d\": [551.88, 205.52, 798.39, 355.38], \"box_3d\": [1.37, 1.7, 4.38, 0.52, 1.9, 9.76], \"ry\": -1.89}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [498.65, 205.72, 629.97, 299.42], \"box_3d\": [1.4, 1.56, 3.91, -1.08, 2.12, 14.07], \"ry\": -1.9}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [440.64, 197.77, 527.46, 269.95], \"box_3d\": [1.6, 1.65, 3.77, -3.46, 2.31, 19.04], \"ry\": -1.91}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [214.19, 198.94, 281.25, 262.38], \"box_3d\": [1.86, 1.63, 4.2, -12.34, 2.81, 24.7], \"ry\": 1.21}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [113.13, 213.46, 232.24, 308.16], \"box_3d\": [1.45, 1.46, 3.41, -8.5, 2.33, 14.19], \"ry\": 1.19}]\n```" + } + ] + }, + { + "id": 471, + "data_source": "Mono3DRefer", + "scene_name": "001225", + "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\": 2.56, \"box_2d\": [473.76, 175.83, 577.58, 212.43], \"box_3d\": [1.47, 1.72, 4.22, -3.65, 1.62, 31.33], \"ry\": 2.44}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [171.25, 192.03, 385.9, 332.28], \"box_3d\": [1.42, 1.71, 4.14, -4.29, 1.73, 9.93], \"ry\": 1.39}, {\"category\": \"Car\", \"angle\": 2.63, \"box_2d\": [622.77, 173.56, 727.68, 206.46], \"box_3d\": [1.48, 1.87, 4.74, 3.13, 1.54, 34.91], \"ry\": 2.71}, {\"category\": \"Car\", \"angle\": 0.36, \"box_2d\": [267.87, 176.14, 410.65, 227.04], \"box_3d\": [1.63, 1.69, 4.23, -9.2, 1.77, 24.62], \"ry\": 0.01}]\n```" + } + ] + }, + { + "id": 472, + "data_source": "Mono3DRefer", + "scene_name": "001229", + "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\": [652.52, 171.63, 699.41, 211.55], \"box_3d\": [1.69, 1.58, 3.95, 2.91, 1.67, 32.85], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [685.19, 179.97, 751.16, 227.76], \"box_3d\": [1.41, 1.57, 3.23, 3.36, 1.65, 23.14], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.91, \"box_2d\": [798.67, 177.4, 898.9, 229.01], \"box_3d\": [1.45, 1.61, 4.2, 7.3, 1.61, 22.61], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.46, \"box_2d\": [801.89, 175.07, 868.48, 202.5], \"box_3d\": [1.48, 1.36, 3.51, 12.69, 1.63, 40.91], \"ry\": -2.16}]\n```" + } + ] + }, + { + "id": 473, + "data_source": "Mono3DRefer", + "scene_name": "001235", + "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\": [659.43, 186.18, 696.95, 215.03], \"box_3d\": [1.41, 1.58, 4.36, 3.57, 2.15, 38.7], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 474, + "data_source": "Mono3DRefer", + "scene_name": "001238", + "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\": 2.22, \"box_2d\": [0.0, 202.34, 208.45, 374.0], \"box_3d\": [1.37, 1.78, 4.65, -5.49, 1.7, 6.06], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 2.12, \"box_2d\": [1136.42, 165.83, 1241.0, 220.99], \"box_3d\": [1.48, 1.51, 4.35, 17.48, 1.29, 20.81], \"ry\": 2.81}]\n```" + } + ] + }, + { + "id": 475, + "data_source": "Mono3DRefer", + "scene_name": "001241", + "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\": 2.53, \"box_2d\": [560.83, 171.57, 652.63, 210.88], \"box_3d\": [1.56, 1.39, 3.73, -0.14, 1.52, 30.38], \"ry\": 2.53}, {\"category\": \"Car\", \"angle\": -0.86, \"box_2d\": [711.78, 170.15, 815.86, 215.6], \"box_3d\": [1.56, 1.67, 3.78, 5.66, 1.47, 26.54], \"ry\": -0.65}, {\"category\": \"Car\", \"angle\": -0.99, \"box_2d\": [790.61, 168.48, 881.12, 207.86], \"box_3d\": [1.5, 1.53, 4.04, 9.21, 1.34, 29.38], \"ry\": -0.69}, {\"category\": \"Car\", \"angle\": -1.04, \"box_2d\": [869.02, 169.04, 934.95, 201.4], \"box_3d\": [1.38, 1.28, 3.16, 13.01, 1.22, 32.17], \"ry\": -0.66}, {\"category\": \"Car\", \"angle\": -1.13, \"box_2d\": [911.99, 161.66, 990.44, 198.87], \"box_3d\": [1.7, 1.7, 4.46, 16.62, 1.2, 35.11], \"ry\": -0.69}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [633.97, 181.71, 752.79, 258.78], \"box_3d\": [1.39, 1.54, 3.42, 1.56, 1.58, 14.96], \"ry\": -1.74}]\n```" + } + ] + }, + { + "id": 476, + "data_source": "Mono3DRefer", + "scene_name": "001242", + "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\": [712.96, 131.23, 747.56, 158.35], \"box_3d\": [1.5, 1.62, 4.19, 7.67, -0.99, 45.89], \"ry\": 1.87}]\n```" + } + ] + }, + { + "id": 477, + "data_source": "Mono3DRefer", + "scene_name": "001245", + "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\": [230.07, 193.21, 303.66, 224.15], \"box_3d\": [1.33, 1.72, 3.63, -16.44, 2.35, 34.68], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [368.22, 183.61, 413.89, 207.5], \"box_3d\": [1.56, 1.7, 4.35, -15.27, 2.33, 50.48], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [443.08, 181.59, 472.55, 200.29], \"box_3d\": [1.6, 1.79, 3.91, -13.61, 2.4, 64.66], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 478, + "data_source": "Mono3DRefer", + "scene_name": "001257", + "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\": [445.77, 182.94, 488.7, 211.91], \"box_3d\": [1.51, 1.51, 4.15, -7.95, 2.09, 40.34], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [500.16, 178.53, 526.03, 196.19], \"box_3d\": [1.49, 1.71, 3.94, -8.49, 2.0, 63.4], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 479, + "data_source": "Mono3DRefer", + "scene_name": "001258", + "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\": [544.05, 178.05, 569.95, 202.19], \"box_3d\": [1.7, 1.72, 4.11, -3.9, 2.1, 53.41], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 480, + "data_source": "Mono3DRefer", + "scene_name": "001269", + "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\": [582.37, 175.44, 600.77, 190.02], \"box_3d\": [1.26, 1.6, 3.56, -1.68, 1.51, 64.82], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [112.68, 186.67, 310.31, 282.87], \"box_3d\": [1.48, 1.64, 3.59, -7.13, 1.76, 13.27], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 481, + "data_source": "Mono3DRefer", + "scene_name": "001273", + "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\": [491.98, 175.69, 542.02, 211.93], \"box_3d\": [1.39, 1.52, 3.56, -3.82, 1.53, 29.81], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [243.79, 185.14, 441.69, 312.26], \"box_3d\": [1.46, 1.59, 3.35, -3.6, 1.65, 10.19], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 482, + "data_source": "Mono3DRefer", + "scene_name": "001282", + "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\": [476.0, 184.59, 542.85, 235.0], \"box_3d\": [1.45, 1.56, 3.47, -3.16, 1.84, 22.97], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 483, + "data_source": "Mono3DRefer", + "scene_name": "001283", + "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\": [487.18, 185.34, 543.72, 228.7], \"box_3d\": [1.45, 1.53, 3.98, -3.48, 1.94, 26.9], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.27, \"box_2d\": [0.0, 190.01, 281.24, 374.0], \"box_3d\": [1.65, 1.56, 3.98, -3.7, 1.78, 4.24], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 484, + "data_source": "Mono3DRefer", + "scene_name": "001284", + "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\": [438.34, 186.62, 519.64, 243.87], \"box_3d\": [1.39, 1.52, 3.56, -3.56, 1.8, 19.91], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [531.48, 182.03, 557.37, 202.27], \"box_3d\": [1.34, 1.64, 4.57, -4.63, 2.01, 51.14], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": -3.0, \"box_2d\": [0.0, 188.88, 231.35, 285.86], \"box_3d\": [1.53, 1.54, 4.35, -9.33, 1.85, 12.99], \"ry\": 2.67}, {\"category\": \"Car\", \"angle\": 2.89, \"box_2d\": [435.11, 181.59, 511.62, 209.09], \"box_3d\": [1.52, 1.41, 4.22, -8.1, 2.07, 42.67], \"ry\": 2.7}]\n```" + } + ] + }, + { + "id": 485, + "data_source": "Mono3DRefer", + "scene_name": "001285", + "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\": [236.7, 194.84, 309.81, 227.72], \"box_3d\": [1.48, 1.79, 4.15, -17.13, 2.66, 36.85], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 486, + "data_source": "Mono3DRefer", + "scene_name": "001299", + "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\": [564.58, 179.3, 605.64, 214.49], \"box_3d\": [1.43, 1.55, 3.91, -1.07, 1.72, 31.55], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -0.59, \"box_2d\": [969.3, 177.15, 1241.0, 374.0], \"box_3d\": [1.51, 1.69, 4.42, 5.36, 1.54, 5.52], \"ry\": 0.15}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [489.74, 174.43, 531.85, 203.18], \"box_3d\": [1.44, 1.58, 3.35, -5.23, 1.54, 38.13], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 487, + "data_source": "Mono3DRefer", + "scene_name": "001302", + "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\": [344.42, 191.34, 389.25, 214.35], \"box_3d\": [1.48, 1.79, 4.15, -17.19, 2.83, 51.12], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 488, + "data_source": "Mono3DRefer", + "scene_name": "001311", + "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\": [663.07, 177.34, 729.99, 232.64], \"box_3d\": [1.57, 1.59, 3.75, 2.59, 1.73, 22.64], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 0.29, \"box_2d\": [329.7, 189.17, 415.25, 220.29], \"box_3d\": [1.52, 1.51, 3.94, -12.3, 2.39, 37.4], \"ry\": -0.02}, {\"category\": \"Car\", \"angle\": 0.45, \"box_2d\": [215.09, 190.27, 311.46, 222.74], \"box_3d\": [1.58, 1.56, 4.24, -17.95, 2.52, 37.39], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [632.99, 178.51, 659.51, 200.62], \"box_3d\": [1.49, 1.55, 3.93, 2.52, 1.91, 51.28], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [592.91, 178.26, 617.75, 201.89], \"box_3d\": [1.54, 1.63, 3.67, -0.34, 1.93, 49.52], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [259.77, 193.29, 474.86, 337.83], \"box_3d\": [1.45, 1.59, 3.59, -2.95, 1.75, 9.42], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.17, \"box_2d\": [848.87, 178.17, 1241.0, 374.0], \"box_3d\": [1.64, 1.64, 3.89, 2.72, 1.67, 3.83], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.94, \"box_2d\": [762.37, 171.1, 994.7, 362.52], \"box_3d\": [1.69, 1.39, 2.65, 2.65, 1.7, 7.79], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [676.2, 180.49, 771.98, 250.78], \"box_3d\": [1.5, 1.59, 3.79, 2.6, 1.7, 17.51], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [644.17, 178.82, 685.17, 214.02], \"box_3d\": [1.49, 1.57, 4.07, 2.4, 1.77, 32.83], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 489, + "data_source": "Mono3DRefer", + "scene_name": "001313", + "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\": [628.51, 182.54, 712.5, 242.39], \"box_3d\": [1.38, 1.51, 4.1, 1.44, 1.65, 19.06], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -2.01, \"box_2d\": [748.35, 161.41, 1078.23, 365.69], \"box_3d\": [1.6, 1.66, 3.55, 2.74, 1.53, 7.54], \"ry\": -1.67}]\n```" + } + ] + }, + { + "id": 490, + "data_source": "Mono3DRefer", + "scene_name": "001321", + "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\": [205.58, 191.44, 470.05, 343.25], \"box_3d\": [1.48, 1.87, 4.42, -3.29, 1.77, 9.65], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 491, + "data_source": "Mono3DRefer", + "scene_name": "001325", + "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\": [532.85, 180.03, 561.06, 203.5], \"box_3d\": [1.45, 1.53, 3.98, -4.11, 1.93, 47.2], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [452.04, 179.0, 522.51, 234.5], \"box_3d\": [1.65, 1.56, 3.98, -3.96, 1.86, 23.59], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 492, + "data_source": "Mono3DRefer", + "scene_name": "001327", + "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\": [556.79, 167.86, 581.86, 193.45], \"box_3d\": [1.97, 1.87, 4.53, -3.27, 1.62, 58.39], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [355.71, 194.3, 503.1, 296.31], \"box_3d\": [1.42, 1.66, 4.11, -3.04, 1.85, 12.81], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 493, + "data_source": "Mono3DRefer", + "scene_name": "001328", + "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\": 0.64, \"box_2d\": [116.87, 189.54, 209.67, 221.62], \"box_3d\": [1.44, 1.47, 3.57, -21.18, 2.26, 34.2], \"ry\": 0.09}, {\"category\": \"Car\", \"angle\": 0.65, \"box_2d\": [159.9, 191.13, 233.32, 217.38], \"box_3d\": [1.28, 1.35, 3.07, -21.21, 2.24, 36.99], \"ry\": 0.13}]\n```" + } + ] + }, + { + "id": 494, + "data_source": "Mono3DRefer", + "scene_name": "001333", + "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\": [240.21, 189.76, 473.04, 353.44], \"box_3d\": [1.46, 1.6, 3.33, -2.72, 1.69, 8.38], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [734.55, 175.37, 984.05, 351.7], \"box_3d\": [1.64, 1.7, 3.54, 2.61, 1.69, 8.56], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [697.7, 184.68, 821.87, 272.94], \"box_3d\": [1.37, 1.51, 3.39, 2.55, 1.6, 13.18], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [523.97, 173.29, 568.27, 210.23], \"box_3d\": [1.55, 1.68, 4.42, -2.87, 1.6, 32.82], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 495, + "data_source": "Mono3DRefer", + "scene_name": "001337", + "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\": 2.02, \"box_2d\": [3.73, 182.35, 409.71, 374.0], \"box_3d\": [1.48, 1.64, 3.95, -3.35, 1.58, 6.88], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.92, \"box_2d\": [766.33, 193.96, 1118.85, 374.0], \"box_3d\": [1.35, 1.64, 3.84, 2.7, 1.6, 6.97], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.41, \"box_2d\": [677.33, 185.85, 774.34, 254.65], \"box_3d\": [1.42, 1.59, 4.19, 2.63, 1.76, 17.47], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [426.81, 181.22, 514.35, 245.4], \"box_3d\": [1.42, 1.64, 3.63, -3.41, 1.64, 18.01], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [662.33, 182.68, 725.51, 229.63], \"box_3d\": [1.38, 1.58, 3.66, 2.61, 1.71, 23.42], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [651.8, 181.15, 704.35, 220.8], \"box_3d\": [1.42, 1.6, 3.78, 2.55, 1.75, 28.06], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 496, + "data_source": "Mono3DRefer", + "scene_name": "001339", + "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\": [984.32, 203.17, 1241.0, 374.0], \"box_3d\": [1.4, 1.64, 3.73, 3.95, 1.68, 5.13], \"ry\": -1.29}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [851.65, 189.06, 909.41, 231.37], \"box_3d\": [1.4, 1.61, 4.37, 10.1, 2.05, 27.28], \"ry\": -1.31}]\n```" + } + ] + }, + { + "id": 497, + "data_source": "Mono3DRefer", + "scene_name": "001343", + "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\": [511.41, 171.48, 557.34, 215.64], \"box_3d\": [1.97, 1.87, 4.53, -3.61, 1.94, 34.82], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [551.6, 174.93, 574.47, 196.69], \"box_3d\": [1.7, 1.53, 3.82, -3.82, 1.9, 58.92], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 498, + "data_source": "Mono3DRefer", + "scene_name": "001352", + "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\": 2.17, \"box_2d\": [11.14, 192.2, 196.35, 256.62], \"box_3d\": [1.5, 1.95, 4.6, -13.89, 2.09, 20.14], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [403.52, 182.12, 445.83, 208.27], \"box_3d\": [1.84, 2.04, 4.33, -13.81, 2.55, 53.93], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 499, + "data_source": "Mono3DRefer", + "scene_name": "001362", + "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\": 0.27, \"box_2d\": [427.79, 183.01, 510.67, 207.39], \"box_3d\": [1.36, 1.68, 4.49, -8.28, 1.98, 42.47], \"ry\": 0.08}]\n```" + } + ] + }, + { + "id": 500, + "data_source": "Mono3DRefer", + "scene_name": "001367", + "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\": 2.17, \"box_2d\": [0.0, 150.49, 262.49, 374.0], \"box_3d\": [1.74, 1.65, 4.18, -4.21, 1.64, 5.06], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [322.34, 170.39, 497.9, 287.2], \"box_3d\": [1.64, 1.45, 3.48, -3.16, 1.62, 11.93], \"ry\": 1.74}, {\"category\": \"Car\", \"angle\": -2.0, \"box_2d\": [843.24, 172.26, 1241.0, 374.0], \"box_3d\": [1.61, 1.68, 4.04, 3.36, 1.63, 6.14], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [775.64, 181.29, 935.15, 299.47], \"box_3d\": [1.52, 1.58, 4.28, 3.65, 1.67, 11.59], \"ry\": -1.44}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [597.9, 174.32, 693.8, 228.54], \"box_3d\": [1.54, 1.64, 4.08, 1.19, 1.61, 22.72], \"ry\": 1.99}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [671.46, 169.03, 721.44, 200.35], \"box_3d\": [1.5, 1.6, 4.17, 4.43, 1.34, 36.71], \"ry\": 1.92}]\n```" + } + ] + }, + { + "id": 501, + "data_source": "Mono3DRefer", + "scene_name": "001369", + "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, 198.04, 136.72, 312.35], \"box_3d\": [1.47, 1.63, 4.11, -9.04, 1.89, 10.36], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [151.89, 176.21, 306.54, 262.73], \"box_3d\": [1.8, 1.61, 3.83, -8.85, 1.9, 17.07], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [275.15, 188.44, 375.68, 241.24], \"box_3d\": [1.45, 1.45, 3.4, -8.65, 1.95, 22.12], \"ry\": 1.68}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [335.96, 178.46, 422.45, 229.9], \"box_3d\": [1.75, 1.71, 4.31, -8.53, 1.98, 26.96], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [425.51, 182.42, 478.7, 214.83], \"box_3d\": [1.53, 1.66, 4.01, -7.97, 2.03, 36.61], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [455.76, 181.61, 499.42, 208.89], \"box_3d\": [1.48, 1.6, 3.9, -7.64, 2.0, 41.79], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 502, + "data_source": "Mono3DRefer", + "scene_name": "001370", + "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\": [585.35, 181.65, 657.55, 240.59], \"box_3d\": [1.36, 1.69, 3.38, 0.23, 1.6, 18.68], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.24, \"box_2d\": [0.0, 167.03, 151.38, 258.15], \"box_3d\": [1.59, 1.72, 3.86, -11.38, 1.52, 14.52], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -2.11, \"box_2d\": [313.44, 168.13, 470.42, 249.95], \"box_3d\": [1.59, 1.63, 3.64, -4.89, 1.52, 15.82], \"ry\": -2.41}, {\"category\": \"Car\", \"angle\": -2.27, \"box_2d\": [350.77, 176.23, 493.11, 235.61], \"box_3d\": [1.41, 1.64, 3.61, -4.99, 1.52, 18.84], \"ry\": -2.53}, {\"category\": \"Car\", \"angle\": -2.3, \"box_2d\": [391.69, 180.27, 523.45, 230.53], \"box_3d\": [1.39, 1.61, 4.09, -4.74, 1.64, 22.01], \"ry\": -2.51}, {\"category\": \"Car\", \"angle\": -2.18, \"box_2d\": [464.82, 174.33, 547.37, 213.55], \"box_3d\": [1.5, 1.57, 3.54, -4.32, 1.58, 29.43], \"ry\": -2.33}, {\"category\": \"Car\", \"angle\": -2.37, \"box_2d\": [507.32, 174.59, 569.78, 199.16], \"box_3d\": [1.4, 1.6, 3.55, -4.28, 1.52, 42.79], \"ry\": -2.47}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [689.73, 179.73, 756.9, 223.89], \"box_3d\": [1.36, 1.63, 4.02, 3.71, 1.6, 24.44], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [674.23, 171.57, 726.91, 212.49], \"box_3d\": [1.66, 1.72, 4.41, 3.88, 1.64, 31.81], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [588.46, 176.8, 629.42, 214.17], \"box_3d\": [1.52, 1.67, 3.61, -0.07, 1.71, 31.41], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [262.53, 170.9, 341.7, 204.09], \"box_3d\": [1.47, 1.77, 4.25, -14.64, 1.42, 34.5], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 503, + "data_source": "Mono3DRefer", + "scene_name": "001376", + "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\": [775.91, 192.32, 1209.54, 374.0], \"box_3d\": [1.52, 1.51, 4.28, 2.69, 1.74, 6.35], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [396.94, 195.8, 513.24, 280.01], \"box_3d\": [1.42, 1.57, 4.1, -3.13, 1.96, 15.12], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.82, \"box_2d\": [685.79, 190.85, 858.72, 304.94], \"box_3d\": [1.43, 1.64, 4.14, 2.33, 1.76, 11.63], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [524.23, 186.07, 559.36, 215.81], \"box_3d\": [1.38, 1.53, 3.58, -3.42, 2.06, 36.29], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [631.37, 181.8, 664.18, 209.2], \"box_3d\": [1.49, 1.65, 4.06, 2.12, 2.02, 41.96], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 504, + "data_source": "Mono3DRefer", + "scene_name": "001382", + "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\": [1006.57, 195.04, 1209.1, 354.6], \"box_3d\": [1.4, 1.64, 3.73, 5.74, 1.71, 8.75], \"ry\": -1.05}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [1001.98, 188.79, 1055.23, 228.78], \"box_3d\": [1.4, 1.61, 4.37, 16.59, 2.07, 28.79], \"ry\": -1.09}]\n```" + } + ] + }, + { + "id": 505, + "data_source": "Mono3DRefer", + "scene_name": "001385", + "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\": [537.18, 181.04, 569.55, 204.77], \"box_3d\": [1.45, 1.77, 4.04, -3.65, 1.99, 46.82], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 506, + "data_source": "Mono3DRefer", + "scene_name": "001390", + "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\": [632.19, 175.52, 657.01, 195.48], \"box_3d\": [1.41, 1.57, 3.23, 2.5, 1.62, 53.12], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [683.75, 174.84, 717.55, 196.65], \"box_3d\": [1.45, 1.61, 4.2, 6.29, 1.61, 50.59], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -2.45, \"box_2d\": [800.07, 174.38, 866.28, 201.72], \"box_3d\": [1.48, 1.36, 3.51, 12.62, 1.59, 41.02], \"ry\": -2.16}]\n```" + } + ] + }, + { + "id": 507, + "data_source": "Mono3DRefer", + "scene_name": "001392", + "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\": [450.38, 175.33, 502.11, 214.16], \"box_3d\": [1.62, 1.75, 4.3, -6.0, 1.76, 32.59], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [188.08, 184.42, 393.95, 301.9], \"box_3d\": [1.44, 1.58, 3.35, -4.55, 1.63, 10.72], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [305.32, 168.75, 450.38, 267.74], \"box_3d\": [1.74, 1.71, 4.41, -4.65, 1.7, 15.01], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [415.55, 182.2, 485.46, 230.82], \"box_3d\": [1.41, 1.72, 4.41, -5.16, 1.73, 23.64], \"ry\": 1.47}]\n```" + } + ] + }, + { + "id": 508, + "data_source": "Mono3DRefer", + "scene_name": "001399", + "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\": [542.45, 179.21, 571.74, 201.0], \"box_3d\": [1.45, 1.77, 4.04, -3.7, 1.91, 50.71], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 509, + "data_source": "Mono3DRefer", + "scene_name": "001403", + "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\": [652.16, 179.52, 699.38, 216.18], \"box_3d\": [1.38, 1.49, 3.32, 2.56, 1.66, 29.1], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.82, \"box_2d\": [715.73, 178.7, 839.32, 259.68], \"box_3d\": [1.5, 1.62, 3.89, 3.4, 1.64, 15.51], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [705.91, 175.32, 747.82, 201.42], \"box_3d\": [1.44, 1.56, 3.96, 6.76, 1.61, 42.24], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -2.83, \"box_2d\": [986.77, 179.33, 1083.81, 214.13], \"box_3d\": [1.48, 1.36, 3.51, 19.14, 1.79, 32.62], \"ry\": -2.3}]\n```" + } + ] + }, + { + "id": 510, + "data_source": "Mono3DRefer", + "scene_name": "001408", + "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\": [527.82, 181.82, 563.96, 208.46], \"box_3d\": [1.44, 1.72, 4.14, -3.7, 1.98, 41.89], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 511, + "data_source": "Mono3DRefer", + "scene_name": "001411", + "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\": [434.86, 181.69, 527.89, 240.01], \"box_3d\": [1.49, 1.53, 3.88, -3.6, 1.76, 20.62], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [647.03, 171.83, 715.5, 237.88], \"box_3d\": [1.57, 1.56, 2.62, 1.74, 1.57, 18.64], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 512, + "data_source": "Mono3DRefer", + "scene_name": "001412", + "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\": 2.28, \"box_2d\": [0.0, 214.12, 261.55, 374.0], \"box_3d\": [1.51, 1.55, 3.92, -3.44, 1.82, 3.53], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [742.49, 189.82, 1062.92, 371.91], \"box_3d\": [1.39, 1.54, 4.6, 2.75, 1.62, 8.13], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 1.98, \"box_2d\": [155.46, 199.75, 441.46, 356.55], \"box_3d\": [1.4, 1.62, 4.26, -3.59, 1.81, 9.16], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [357.32, 189.23, 474.17, 274.35], \"box_3d\": [1.46, 1.52, 3.48, -3.83, 1.82, 14.6], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [428.37, 188.62, 515.55, 248.83], \"box_3d\": [1.39, 1.6, 3.8, -3.62, 1.84, 19.27], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [707.9, 181.45, 843.89, 268.96], \"box_3d\": [1.46, 1.6, 4.52, 3.07, 1.64, 14.47], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [691.19, 178.3, 771.33, 238.3], \"box_3d\": [1.48, 1.56, 3.46, 3.17, 1.64, 19.68], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 2.86, \"box_2d\": [895.57, 158.42, 1024.41, 216.08], \"box_3d\": [2.05, 1.8, 3.95, 12.92, 1.56, 26.92], \"ry\": -2.98}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [641.52, 178.65, 681.88, 206.59], \"box_3d\": [1.51, 1.53, 3.38, 2.89, 1.86, 41.25], \"ry\": -1.74}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [596.39, 182.68, 628.9, 201.41], \"box_3d\": [1.39, 1.54, 3.42, 0.15, 2.16, 55.96], \"ry\": -1.87}]\n```" + } + ] + }, + { + "id": 513, + "data_source": "Mono3DRefer", + "scene_name": "001418", + "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\": [188.22, 187.57, 395.15, 337.78], \"box_3d\": [1.6, 1.73, 3.62, -4.13, 1.83, 9.86], \"ry\": 1.41}, {\"category\": \"Car\", \"angle\": 2.95, \"box_2d\": [586.07, 172.2, 673.55, 204.2], \"box_3d\": [1.73, 1.74, 4.71, 1.07, 1.72, 41.07], \"ry\": 2.97}]\n```" + } + ] + }, + { + "id": 514, + "data_source": "Mono3DRefer", + "scene_name": "001424", + "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\": [434.48, 178.98, 466.1, 197.6], \"box_3d\": [1.58, 1.82, 3.87, -14.09, 2.13, 63.8], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [165.42, 186.36, 263.29, 232.83], \"box_3d\": [1.48, 1.61, 3.39, -13.88, 1.98, 25.44], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.11, \"box_2d\": [109.89, 188.5, 225.55, 231.07], \"box_3d\": [1.44, 1.79, 4.32, -16.85, 2.07, 27.7], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [336.43, 179.42, 391.38, 209.13], \"box_3d\": [1.6, 1.78, 3.86, -13.98, 1.98, 41.13], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [301.91, 179.62, 357.3, 208.63], \"box_3d\": [1.65, 1.77, 3.85, -16.8, 2.07, 43.36], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 515, + "data_source": "Mono3DRefer", + "scene_name": "001425", + "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\": -2.64, \"box_2d\": [98.99, 171.33, 340.61, 266.79], \"box_3d\": [1.9, 1.78, 4.25, -8.32, 1.9, 15.55], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": 0.21, \"box_2d\": [397.78, 177.52, 483.92, 211.34], \"box_3d\": [1.52, 1.64, 3.7, -7.99, 1.77, 34.17], \"ry\": -0.02}]\n```" + } + ] + }, + { + "id": 516, + "data_source": "Mono3DRefer", + "scene_name": "001427", + "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\": 1.91, \"box_2d\": [302.18, 175.25, 357.58, 200.23], \"box_3d\": [1.34, 1.73, 3.98, -16.0, 1.5, 41.33], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 517, + "data_source": "Mono3DRefer", + "scene_name": "001430", + "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\": [608.29, 187.36, 662.29, 222.46], \"box_3d\": [1.44, 1.66, 4.53, 1.2, 2.13, 32.99], \"ry\": -1.35}]\n```" + } + ] + }, + { + "id": 518, + "data_source": "Mono3DRefer", + "scene_name": "001434", + "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\": -0.76, \"box_2d\": [551.83, 189.55, 838.96, 316.56], \"box_3d\": [1.46, 1.55, 4.28, 1.34, 1.74, 10.6], \"ry\": -0.64}, {\"category\": \"Car\", \"angle\": -0.51, \"box_2d\": [355.95, 193.33, 559.27, 274.05], \"box_3d\": [1.49, 1.66, 4.16, -3.35, 2.0, 16.15], \"ry\": -0.71}, {\"category\": \"Car\", \"angle\": 2.79, \"box_2d\": [266.08, 182.44, 447.62, 260.04], \"box_3d\": [1.85, 1.68, 4.34, -6.84, 2.14, 19.62], \"ry\": 2.45}, {\"category\": \"Car\", \"angle\": -1.02, \"box_2d\": [683.78, 191.9, 949.71, 345.13], \"box_3d\": [1.39, 1.59, 3.17, 2.49, 1.65, 8.52], \"ry\": -0.75}]\n```" + } + ] + }, + { + "id": 519, + "data_source": "Mono3DRefer", + "scene_name": "001438", + "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\": 2.17, \"box_2d\": [0.0, 192.31, 243.37, 374.0], \"box_3d\": [1.49, 1.63, 3.68, -5.85, 1.75, 8.0], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -2.17, \"box_2d\": [854.28, 187.04, 1241.0, 374.0], \"box_3d\": [1.49, 1.61, 3.55, 3.03, 1.61, 4.67], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 1.3, \"box_2d\": [462.73, 180.1, 516.73, 212.71], \"box_3d\": [1.41, 1.57, 3.53, -5.67, 1.77, 33.54], \"ry\": 1.13}, {\"category\": \"Car\", \"angle\": 2.63, \"box_2d\": [539.28, 175.31, 603.94, 197.37], \"box_3d\": [1.47, 1.72, 4.22, -2.7, 1.66, 50.65], \"ry\": 2.58}, {\"category\": \"Car\", \"angle\": 0.76, \"box_2d\": [339.93, 181.39, 418.71, 208.14], \"box_3d\": [1.42, 1.71, 4.14, -12.93, 1.92, 40.33], \"ry\": 0.45}, {\"category\": \"Car\", \"angle\": 2.72, \"box_2d\": [644.28, 172.98, 712.52, 193.76], \"box_3d\": [1.48, 1.87, 4.74, 5.11, 1.52, 54.19], \"ry\": 2.81}]\n```" + } + ] + }, + { + "id": 520, + "data_source": "Mono3DRefer", + "scene_name": "001453", + "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\": [240.97, 179.18, 304.63, 209.17], \"box_3d\": [1.58, 1.64, 3.88, -18.79, 1.94, 40.32], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [285.89, 179.97, 343.28, 203.83], \"box_3d\": [1.43, 1.81, 4.16, -18.72, 1.89, 45.85], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [334.38, 177.53, 384.57, 198.44], \"box_3d\": [1.47, 1.67, 4.31, -18.47, 1.83, 53.33], \"ry\": 1.72}]\n```" + } + ] + }, + { + "id": 521, + "data_source": "Mono3DRefer", + "scene_name": "001456", + "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\": [48.56, 180.91, 418.21, 374.0], \"box_3d\": [1.62, 1.75, 4.3, -3.74, 1.72, 8.1], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [50.73, 182.85, 296.62, 290.75], \"box_3d\": [1.47, 1.73, 4.48, -7.13, 1.66, 12.36], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": -1.23, \"box_2d\": [389.86, 185.34, 467.96, 230.36], \"box_3d\": [1.39, 1.59, 3.17, -6.09, 1.83, 24.43], \"ry\": -1.48}, {\"category\": \"Car\", \"angle\": -1.1, \"box_2d\": [318.04, 185.7, 418.64, 232.18], \"box_3d\": [1.46, 1.55, 4.28, -8.43, 1.94, 25.46], \"ry\": -1.41}]\n```" + } + ] + }, + { + "id": 522, + "data_source": "Mono3DRefer", + "scene_name": "001461", + "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\": [50.24, 187.58, 194.39, 238.41], \"box_3d\": [1.49, 1.88, 4.41, -16.25, 2.02, 24.3], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [377.21, 181.32, 417.91, 205.64], \"box_3d\": [1.48, 1.61, 3.39, -13.63, 2.04, 46.36], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [333.84, 184.69, 385.43, 208.17], \"box_3d\": [1.44, 1.79, 4.32, -16.53, 2.25, 47.77], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [436.57, 181.29, 468.72, 200.74], \"box_3d\": [1.6, 1.78, 3.86, -13.49, 2.33, 62.0], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 523, + "data_source": "Mono3DRefer", + "scene_name": "001462", + "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\": [563.67, 182.53, 604.0, 217.39], \"box_3d\": [1.43, 1.55, 3.91, -1.14, 1.87, 32.09], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -0.49, \"box_2d\": [906.8, 175.39, 1241.0, 355.86], \"box_3d\": [1.51, 1.69, 4.42, 5.33, 1.54, 6.87], \"ry\": 0.15}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [492.23, 177.96, 532.64, 205.7], \"box_3d\": [1.44, 1.58, 3.35, -5.32, 1.73, 39.45], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 524, + "data_source": "Mono3DRefer", + "scene_name": "001471", + "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\": [573.95, 178.19, 610.71, 213.59], \"box_3d\": [1.66, 1.73, 3.05, -0.87, 1.94, 35.78], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 525, + "data_source": "Mono3DRefer", + "scene_name": "001475", + "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\": [406.34, 179.01, 595.22, 293.96], \"box_3d\": [1.54, 1.64, 4.08, -1.61, 1.65, 11.87], \"ry\": 1.81}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [822.62, 189.37, 1163.93, 374.0], \"box_3d\": [1.46, 1.57, 3.58, 2.92, 1.64, 6.42], \"ry\": -1.42}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [793.95, 174.61, 967.55, 300.92], \"box_3d\": [1.58, 1.67, 3.43, 3.81, 1.63, 10.84], \"ry\": -1.45}, {\"category\": \"Car\", \"angle\": -2.49, \"box_2d\": [1137.22, 142.67, 1241.0, 219.69], \"box_3d\": [1.84, 1.94, 3.68, 15.78, 1.12, 18.19], \"ry\": -1.78}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [553.91, 173.8, 620.25, 218.82], \"box_3d\": [1.5, 1.6, 4.17, -0.78, 1.56, 26.2], \"ry\": 1.74}, {\"category\": \"Car\", \"angle\": 2.21, \"box_2d\": [872.9, 163.66, 957.56, 202.2], \"box_3d\": [1.52, 1.58, 3.28, 12.65, 1.16, 29.95], \"ry\": 2.61}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [741.74, 170.96, 787.85, 209.39], \"box_3d\": [1.58, 1.68, 3.93, 6.72, 1.53, 31.79], \"ry\": -1.43}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [605.65, 171.86, 650.37, 204.28], \"box_3d\": [1.58, 1.54, 3.98, 0.96, 1.55, 37.27], \"ry\": 1.79}]\n```" + } + ] + }, + { + "id": 526, + "data_source": "Mono3DRefer", + "scene_name": "001482", + "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\": -2.87, \"box_2d\": [294.41, 183.95, 436.78, 230.6], \"box_3d\": [1.47, 1.74, 4.26, -8.25, 1.87, 24.52], \"ry\": 3.09}]\n```" + } + ] + }, + { + "id": 527, + "data_source": "Mono3DRefer", + "scene_name": "001489", + "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\": [648.04, 186.87, 677.18, 210.23], \"box_3d\": [1.41, 1.58, 4.36, 3.39, 2.36, 47.41], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 528, + "data_source": "Mono3DRefer", + "scene_name": "001491", + "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\": [727.07, 182.91, 839.42, 258.82], \"box_3d\": [1.41, 1.57, 3.23, 3.5, 1.64, 15.27], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -2.04, \"box_2d\": [885.25, 180.43, 1068.33, 261.45], \"box_3d\": [1.45, 1.61, 4.2, 7.41, 1.62, 15.17], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.48, \"box_2d\": [812.22, 175.23, 880.66, 203.12], \"box_3d\": [1.48, 1.36, 3.51, 13.12, 1.64, 40.26], \"ry\": -2.17}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [630.79, 174.48, 658.92, 197.32], \"box_3d\": [1.5, 1.62, 3.89, 2.36, 1.64, 49.97], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [672.89, 171.09, 739.82, 224.97], \"box_3d\": [1.69, 1.58, 3.95, 3.2, 1.66, 24.86], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 529, + "data_source": "Mono3DRefer", + "scene_name": "001492", + "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\": 1.91, \"box_2d\": [329.92, 192.14, 378.46, 216.61], \"box_3d\": [1.48, 1.79, 4.15, -17.1, 2.82, 48.35], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 530, + "data_source": "Mono3DRefer", + "scene_name": "001493", + "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\": 2.19, \"box_2d\": [0.0, 191.2, 71.26, 230.18], \"box_3d\": [1.42, 1.68, 3.38, -23.7, 2.19, 28.97], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 2.17, \"box_2d\": [54.0, 189.93, 145.19, 222.49], \"box_3d\": [1.38, 1.52, 4.0, -24.02, 2.22, 34.08], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [135.36, 184.35, 196.67, 214.77], \"box_3d\": [1.57, 1.47, 3.35, -24.47, 2.23, 39.83], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [183.53, 186.05, 234.1, 210.75], \"box_3d\": [1.43, 1.48, 3.33, -24.79, 2.27, 44.65], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [266.72, 182.1, 306.8, 201.63], \"box_3d\": [1.48, 1.35, 3.93, -25.75, 2.23, 57.55], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 531, + "data_source": "Mono3DRefer", + "scene_name": "001494", + "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\": -1.21, \"box_2d\": [142.43, 185.25, 295.32, 256.92], \"box_3d\": [1.48, 1.71, 4.65, -9.4, 1.8, 17.72], \"ry\": -1.69}, {\"category\": \"Car\", \"angle\": -1.04, \"box_2d\": [0.0, 164.12, 177.92, 261.19], \"box_3d\": [2.04, 1.66, 4.62, -12.62, 1.89, 17.58], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [382.55, 171.72, 447.59, 217.6], \"box_3d\": [1.42, 1.64, 3.95, -6.61, 1.42, 24.65], \"ry\": -1.7}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [700.32, 169.13, 815.28, 231.64], \"box_3d\": [1.51, 1.72, 4.5, 3.87, 1.45, 19.91], \"ry\": -1.7}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [547.89, 161.41, 586.57, 197.65], \"box_3d\": [1.7, 1.8, 4.5, -2.24, 1.19, 36.35], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.95, \"box_2d\": [772.34, 162.44, 893.35, 227.17], \"box_3d\": [1.64, 1.73, 4.43, 6.19, 1.41, 20.72], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": -2.06, \"box_2d\": [854.24, 168.97, 996.72, 223.41], \"box_3d\": [1.38, 1.8, 4.49, 8.87, 1.32, 20.86], \"ry\": -1.67}]\n```" + } + ] + }, + { + "id": 532, + "data_source": "Mono3DRefer", + "scene_name": "001498", + "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\": [647.89, 171.83, 691.35, 208.94], \"box_3d\": [1.69, 1.58, 3.95, 2.82, 1.67, 35.2], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [676.77, 179.34, 735.32, 222.4], \"box_3d\": [1.41, 1.57, 3.23, 3.29, 1.65, 25.5], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [781.87, 176.89, 869.81, 223.52], \"box_3d\": [1.45, 1.61, 4.2, 7.26, 1.61, 24.8], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -2.46, \"box_2d\": [801.44, 175.04, 867.88, 202.43], \"box_3d\": [1.48, 1.36, 3.51, 12.68, 1.63, 40.95], \"ry\": -2.16}]\n```" + } + ] + }, + { + "id": 533, + "data_source": "Mono3DRefer", + "scene_name": "001503", + "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\": -2.35, \"box_2d\": [760.43, 175.03, 819.05, 200.55], \"box_3d\": [1.48, 1.36, 3.51, 10.86, 1.64, 43.88], \"ry\": -2.11}]\n```" + } + ] + }, + { + "id": 534, + "data_source": "Mono3DRefer", + "scene_name": "001506", + "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\": [580.85, 176.13, 621.32, 214.63], \"box_3d\": [1.54, 1.63, 3.67, -0.41, 1.71, 31.1], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [597.81, 172.27, 630.83, 206.71], \"box_3d\": [1.77, 1.69, 4.32, 0.2, 1.77, 39.59], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.0, \"box_2d\": [852.91, 183.72, 1241.0, 374.0], \"box_3d\": [1.54, 1.55, 3.51, 3.04, 1.64, 5.34], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [682.62, 167.57, 769.88, 242.63], \"box_3d\": [1.74, 1.62, 4.13, 2.89, 1.65, 18.97], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.2, \"box_2d\": [0.0, 192.44, 205.57, 327.74], \"box_3d\": [1.51, 1.65, 3.94, -7.81, 1.83, 10.39], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [667.35, 175.74, 718.45, 219.64], \"box_3d\": [1.53, 1.46, 3.26, 3.01, 1.65, 26.98], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [646.03, 173.8, 676.15, 201.56], \"box_3d\": [1.6, 1.56, 3.45, 3.03, 1.68, 43.68], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 535, + "data_source": "Mono3DRefer", + "scene_name": "001513", + "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\": -2.47, \"box_2d\": [0.0, 177.3, 225.34, 356.15], \"box_3d\": [1.53, 1.7, 4.32, -6.41, 1.6, 6.99], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 0.45, \"box_2d\": [112.05, 179.8, 402.68, 277.52], \"box_3d\": [1.54, 1.78, 4.2, -6.03, 1.69, 12.58], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -2.69, \"box_2d\": [174.85, 178.05, 363.01, 252.99], \"box_3d\": [1.46, 1.42, 3.25, -7.07, 1.58, 15.04], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": 0.21, \"box_2d\": [335.56, 182.25, 494.16, 235.51], \"box_3d\": [1.5, 1.66, 4.4, -5.87, 1.81, 21.94], \"ry\": -0.05}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [670.21, 185.83, 748.47, 243.06], \"box_3d\": [1.41, 1.62, 4.19, 2.67, 1.81, 20.5], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.17, \"box_2d\": [742.16, 182.39, 843.3, 224.9], \"box_3d\": [1.42, 1.59, 3.21, 6.35, 1.78, 25.48], \"ry\": 0.07}]\n```" + } + ] + }, + { + "id": 536, + "data_source": "Mono3DRefer", + "scene_name": "001520", + "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, 189.49, 107.76, 229.52], \"box_3d\": [1.5, 1.62, 4.08, -23.35, 2.23, 30.25], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 2.15, \"box_2d\": [105.11, 188.48, 185.96, 224.38], \"box_3d\": [1.65, 1.57, 3.82, -23.25, 2.46, 36.23], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.1, \"box_2d\": [170.23, 190.37, 238.59, 216.92], \"box_3d\": [1.37, 1.36, 4.44, -23.2, 2.41, 41.4], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 2.12, \"box_2d\": [214.09, 187.77, 270.15, 213.41], \"box_3d\": [1.51, 1.47, 3.64, -23.35, 2.49, 45.87], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 537, + "data_source": "Mono3DRefer", + "scene_name": "001521", + "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\": [0.0, 195.4, 282.03, 374.0], \"box_3d\": [1.44, 1.58, 3.72, -4.87, 1.73, 7.76], \"ry\": 1.36}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [411.26, 190.43, 455.68, 223.31], \"box_3d\": [1.39, 1.52, 3.56, -8.25, 2.25, 33.81], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [268.57, 193.58, 394.03, 281.18], \"box_3d\": [1.46, 1.59, 3.35, -5.47, 1.91, 14.43], \"ry\": 1.44}]\n```" + } + ] + }, + { + "id": 538, + "data_source": "Mono3DRefer", + "scene_name": "001526", + "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\": -0.21, \"box_2d\": [676.2, 178.45, 807.47, 223.0], \"box_3d\": [1.45, 1.6, 4.23, 4.48, 1.67, 25.08], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": 3.1, \"box_2d\": [646.61, 178.3, 709.31, 201.86], \"box_3d\": [1.48, 1.72, 3.99, 4.39, 1.86, 47.26], \"ry\": -3.1}]\n```" + } + ] + }, + { + "id": 539, + "data_source": "Mono3DRefer", + "scene_name": "001527", + "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\": 2.67, \"box_2d\": [945.17, 179.56, 1005.96, 200.46], \"box_3d\": [1.42, 1.58, 3.48, 25.81, 1.91, 51.03], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": 2.16, \"box_2d\": [75.82, 197.6, 179.08, 240.53], \"box_3d\": [1.49, 1.81, 3.36, -18.94, 2.52, 28.43], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 540, + "data_source": "Mono3DRefer", + "scene_name": "001532", + "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\": [565.18, 192.31, 596.28, 218.05], \"box_3d\": [1.44, 1.66, 4.53, -1.81, 2.7, 45.09], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 541, + "data_source": "Mono3DRefer", + "scene_name": "001533", + "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\": -1.56, \"box_2d\": [577.02, 173.77, 645.64, 236.29], \"box_3d\": [1.6, 1.76, 3.84, 0.08, 1.3, 20.5], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.01, \"box_2d\": [0.0, 186.54, 244.4, 290.95], \"box_3d\": [1.5, 1.7, 3.97, -8.29, 1.55, 12.65], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.17, \"box_2d\": [238.75, 183.35, 355.11, 245.51], \"box_3d\": [1.49, 1.66, 3.37, -8.24, 1.46, 19.29], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.34, \"box_2d\": [366.65, 176.16, 486.26, 259.98], \"box_3d\": [1.63, 1.67, 3.92, -3.92, 1.45, 16.05], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.29, \"box_2d\": [349.52, 182.3, 421.21, 221.67], \"box_3d\": [1.42, 1.61, 4.05, -8.7, 1.31, 28.35], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [457.17, 177.82, 516.85, 221.43], \"box_3d\": [1.56, 1.69, 3.63, -4.63, 1.29, 27.83], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [492.32, 180.92, 530.02, 207.86], \"box_3d\": [1.38, 1.58, 3.49, -5.21, 1.15, 38.96], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.47, \"box_2d\": [516.35, 179.8, 547.62, 202.67], \"box_3d\": [1.43, 1.64, 4.33, -4.99, 1.08, 47.64], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.24, \"box_2d\": [308.76, 184.02, 377.03, 217.37], \"box_3d\": [1.48, 1.69, 4.52, -12.79, 1.44, 34.93], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 542, + "data_source": "Mono3DRefer", + "scene_name": "001539", + "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\": [574.57, 182.91, 670.33, 274.3], \"box_3d\": [1.55, 1.63, 3.32, 0.17, 1.76, 14.09], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [219.7, 200.99, 305.08, 237.4], \"box_3d\": [1.37, 1.82, 3.96, -15.22, 2.68, 31.76], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.38, \"box_2d\": [119.68, 205.96, 213.89, 243.45], \"box_3d\": [1.38, 1.79, 2.94, -18.56, 2.82, 30.27], \"ry\": 1.84}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [363.3, 194.03, 420.68, 222.85], \"box_3d\": [1.4, 1.75, 4.75, -12.08, 2.64, 40.19], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.61, \"box_2d\": [1045.08, 186.53, 1235.23, 243.78], \"box_3d\": [1.59, 1.73, 4.26, 15.62, 2.03, 21.49], \"ry\": -3.05}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [305.72, 197.02, 357.52, 222.11], \"box_3d\": [1.46, 1.81, 4.16, -18.18, 3.1, 47.25], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 543, + "data_source": "Mono3DRefer", + "scene_name": "001541", + "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\": [0.0, 160.87, 222.17, 308.93], \"box_3d\": [2.17, 1.71, 4.33, -8.97, 2.02, 12.77], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [255.1, 183.2, 373.8, 249.87], \"box_3d\": [1.73, 1.6, 4.11, -8.54, 2.05, 21.14], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [383.79, 185.63, 453.65, 223.97], \"box_3d\": [1.47, 1.63, 4.11, -8.02, 2.03, 30.5], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [440.16, 176.51, 491.11, 213.54], \"box_3d\": [1.8, 1.61, 3.83, -7.43, 2.01, 37.31], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [471.95, 183.79, 510.1, 210.02], \"box_3d\": [1.45, 1.45, 3.4, -6.96, 2.1, 42.31], \"ry\": 1.64}]\n```" + } + ] + }, + { + "id": 544, + "data_source": "Mono3DRefer", + "scene_name": "001551", + "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\": -0.81, \"box_2d\": [672.23, 180.0, 784.83, 225.63], \"box_3d\": [1.43, 1.55, 3.91, 4.1, 1.7, 24.88], \"ry\": -0.65}, {\"category\": \"Car\", \"angle\": 2.0, \"box_2d\": [221.03, 184.55, 421.05, 298.4], \"box_3d\": [1.45, 1.47, 3.5, -4.26, 1.64, 11.1], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [448.75, 179.87, 526.85, 232.45], \"box_3d\": [1.44, 1.58, 3.35, -3.61, 1.66, 21.58], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [477.66, 171.77, 547.55, 225.25], \"box_3d\": [1.74, 1.71, 4.41, -3.42, 1.73, 25.85], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [517.64, 178.26, 556.55, 210.23], \"box_3d\": [1.41, 1.72, 4.41, -3.47, 1.69, 34.59], \"ry\": 1.5}]\n```" + } + ] + }, + { + "id": 545, + "data_source": "Mono3DRefer", + "scene_name": "001552", + "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\": [288.93, 196.54, 490.45, 352.28], \"box_3d\": [1.5, 1.55, 4.21, -2.69, 1.87, 9.61], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.82, \"box_2d\": [712.97, 168.02, 918.88, 338.6], \"box_3d\": [1.82, 1.65, 3.67, 2.44, 1.79, 9.6], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [693.43, 185.45, 810.47, 274.68], \"box_3d\": [1.52, 1.51, 4.28, 2.7, 1.81, 14.84], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [478.68, 191.54, 544.59, 242.61], \"box_3d\": [1.42, 1.57, 4.1, -3.12, 2.06, 23.26], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [657.22, 189.26, 745.7, 250.49], \"box_3d\": [1.43, 1.64, 4.14, 2.34, 1.91, 19.74], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [541.72, 186.35, 568.98, 210.47], \"box_3d\": [1.38, 1.53, 3.58, -3.35, 2.23, 44.35], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [629.65, 179.42, 657.01, 202.11], \"box_3d\": [1.49, 1.65, 4.06, 2.25, 1.96, 50.04], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 546, + "data_source": "Mono3DRefer", + "scene_name": "001561", + "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\": [544.88, 178.84, 565.51, 196.55], \"box_3d\": [1.45, 1.53, 3.98, -4.69, 1.98, 61.92], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [507.95, 178.26, 547.3, 211.85], \"box_3d\": [1.65, 1.56, 3.98, -4.28, 1.94, 37.7], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 547, + "data_source": "Mono3DRefer", + "scene_name": "001563", + "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\": [948.33, 179.34, 1083.19, 241.05], \"box_3d\": [1.48, 1.51, 4.35, 11.02, 1.67, 19.55], \"ry\": 2.51}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [1041.44, 180.36, 1157.77, 230.42], \"box_3d\": [1.42, 1.68, 4.29, 15.56, 1.68, 22.91], \"ry\": 2.51}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [1145.95, 179.27, 1226.34, 218.06], \"box_3d\": [1.36, 1.4, 3.8, 21.94, 1.62, 27.48], \"ry\": 2.52}]\n```" + } + ] + }, + { + "id": 548, + "data_source": "Mono3DRefer", + "scene_name": "001564", + "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\": -1.2, \"box_2d\": [280.24, 184.38, 381.04, 237.25], \"box_3d\": [1.4, 1.53, 3.74, -8.17, 1.4, 21.43], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.3, \"box_2d\": [374.59, 183.73, 435.93, 220.24], \"box_3d\": [1.41, 1.52, 3.8, -8.51, 1.37, 30.38], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.47, \"box_2d\": [512.79, 180.32, 546.93, 204.84], \"box_3d\": [1.36, 1.61, 3.76, -4.54, 1.08, 42.11], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [529.69, 178.25, 555.62, 198.21], \"box_3d\": [1.37, 1.59, 3.89, -4.67, 0.88, 51.8], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [587.63, 176.59, 614.36, 201.68], \"box_3d\": [1.58, 1.68, 3.95, -0.45, 1.03, 47.62], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [696.75, 184.66, 804.05, 257.92], \"box_3d\": [1.37, 1.54, 3.56, 2.93, 1.38, 15.62], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.23, \"box_2d\": [252.39, 178.91, 449.85, 307.04], \"box_3d\": [1.57, 1.61, 3.42, -3.58, 1.48, 10.55], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [640.39, 176.26, 679.55, 205.73], \"box_3d\": [1.46, 1.66, 4.04, 2.68, 1.01, 37.99], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -0.98, \"box_2d\": [0.0, 184.64, 221.61, 296.83], \"box_3d\": [1.45, 1.57, 3.6, -7.85, 1.46, 11.26], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.36, \"box_2d\": [405.09, 180.7, 504.5, 246.4], \"box_3d\": [1.47, 1.61, 4.16, -3.8, 1.36, 18.34], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 549, + "data_source": "Mono3DRefer", + "scene_name": "001570", + "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\": -0.71, \"box_2d\": [975.65, 170.06, 1223.0, 337.28], \"box_3d\": [1.31, 1.61, 3.78, 5.66, 1.22, 6.45], \"ry\": -0.01}, {\"category\": \"Car\", \"angle\": -0.24, \"box_2d\": [713.78, 168.52, 850.33, 211.11], \"box_3d\": [1.41, 1.63, 4.42, 6.18, 1.02, 25.09], \"ry\": 0.01}]\n```" + } + ] + }, + { + "id": 550, + "data_source": "Mono3DRefer", + "scene_name": "001575", + "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\": [491.95, 187.1, 531.67, 228.79], \"box_3d\": [1.68, 1.63, 3.9, -4.37, 2.34, 32.02], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [470.38, 188.77, 505.81, 213.86], \"box_3d\": [1.47, 1.7, 4.39, -7.88, 2.52, 46.2], \"ry\": 1.28}]\n```" + } + ] + }, + { + "id": 551, + "data_source": "Mono3DRefer", + "scene_name": "001577", + "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\": 2.43, \"box_2d\": [359.82, 179.94, 425.4, 203.66], \"box_3d\": [1.6, 1.66, 4.49, -15.55, 2.13, 51.74], \"ry\": 2.14}, {\"category\": \"Car\", \"angle\": 2.9, \"box_2d\": [491.31, 172.41, 541.74, 194.71], \"box_3d\": [1.78, 1.67, 3.85, -7.78, 1.77, 59.92], \"ry\": 2.77}, {\"category\": \"Car\", \"angle\": 2.95, \"box_2d\": [443.6, 178.49, 494.3, 197.17], \"box_3d\": [1.59, 1.76, 4.18, -12.63, 2.12, 64.51], \"ry\": 2.76}]\n```" + } + ] + }, + { + "id": 552, + "data_source": "Mono3DRefer", + "scene_name": "001578", + "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\": 1.29, \"box_2d\": [781.21, 181.18, 868.84, 234.35], \"box_3d\": [1.45, 1.51, 3.7, 6.33, 1.71, 21.74], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.95, \"box_2d\": [655.2, 173.5, 749.38, 206.86], \"box_3d\": [1.51, 1.65, 4.21, 4.34, 1.57, 34.49], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [575.24, 176.89, 603.89, 203.29], \"box_3d\": [1.43, 1.55, 3.91, -1.16, 1.68, 41.43], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.22, \"box_2d\": [797.65, 184.73, 1051.5, 332.66], \"box_3d\": [1.52, 1.61, 4.23, 3.82, 1.7, 9.73], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 553, + "data_source": "Mono3DRefer", + "scene_name": "001580", + "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\": [579.33, 182.18, 637.23, 229.54], \"box_3d\": [1.36, 1.69, 3.38, -0.1, 1.67, 22.88], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -2.19, \"box_2d\": [271.96, 183.99, 440.07, 255.83], \"box_3d\": [1.45, 1.61, 3.96, -5.91, 1.72, 16.51], \"ry\": -2.53}, {\"category\": \"Car\", \"angle\": -2.21, \"box_2d\": [340.72, 187.76, 475.06, 244.18], \"box_3d\": [1.36, 1.57, 3.73, -5.55, 1.78, 19.48], \"ry\": -2.48}, {\"category\": \"Car\", \"angle\": 1.0, \"box_2d\": [401.06, 181.15, 488.34, 223.47], \"box_3d\": [1.48, 1.57, 3.48, -6.32, 1.81, 27.23], \"ry\": 0.78}, {\"category\": \"Car\", \"angle\": -1.47, \"box_2d\": [505.27, 187.23, 566.64, 227.74], \"box_3d\": [1.25, 1.74, 3.66, -2.53, 1.78, 25.03], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [669.93, 179.59, 751.31, 236.35], \"box_3d\": [1.46, 1.72, 3.95, 2.75, 1.67, 20.78], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [630.77, 179.16, 657.78, 200.21], \"box_3d\": [1.38, 1.55, 3.6, 2.3, 1.83, 49.64], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [105.31, 189.85, 264.4, 260.12], \"box_3d\": [1.35, 1.59, 3.41, -9.39, 1.76, 16.17], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [589.65, 178.27, 628.69, 213.9], \"box_3d\": [1.52, 1.67, 3.61, -0.09, 1.78, 32.86], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 2.1, \"box_2d\": [88.49, 185.03, 196.54, 231.02], \"box_3d\": [1.32, 1.43, 3.25, -14.8, 1.73, 22.96], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 554, + "data_source": "Mono3DRefer", + "scene_name": "001582", + "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\": [453.27, 182.24, 544.5, 254.44], \"box_3d\": [1.46, 1.63, 4.47, -2.54, 1.7, 17.17], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [519.58, 168.82, 584.9, 215.89], \"box_3d\": [1.7, 1.82, 4.45, -2.22, 1.58, 28.46], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -0.84, \"box_2d\": [620.59, 171.61, 671.8, 200.04], \"box_3d\": [1.57, 1.56, 2.62, 2.06, 1.52, 41.37], \"ry\": -0.79}]\n```" + } + ] + }, + { + "id": 555, + "data_source": "Mono3DRefer", + "scene_name": "001583", + "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\": [36.4, 178.67, 323.82, 286.16], \"box_3d\": [1.5, 1.58, 3.47, -6.49, 1.61, 11.05], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": 0.41, \"box_2d\": [186.72, 157.67, 431.3, 255.6], \"box_3d\": [1.95, 1.64, 4.57, -6.38, 1.67, 15.48], \"ry\": 0.03}, {\"category\": \"Car\", \"angle\": -2.7, \"box_2d\": [153.89, 172.97, 375.94, 271.23], \"box_3d\": [1.66, 1.58, 3.31, -6.26, 1.69, 13.23], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [700.09, 179.46, 826.08, 262.58], \"box_3d\": [1.44, 1.66, 3.25, 2.85, 1.58, 14.28], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -2.79, \"box_2d\": [254.13, 161.69, 422.78, 243.01], \"box_3d\": [1.87, 1.61, 3.53, -6.62, 1.64, 17.73], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": 0.43, \"box_2d\": [310.93, 175.39, 457.48, 236.24], \"box_3d\": [1.59, 1.56, 3.5, 0.52, 1.68, 19.82], \"ry\": 0.13}, {\"category\": \"Car\", \"angle\": -2.82, \"box_2d\": [316.35, 170.99, 471.34, 229.45], \"box_3d\": [1.72, 1.65, 4.33, 0.0, 1.69, 22.54], \"ry\": -3.1}, {\"category\": \"Car\", \"angle\": 0.28, \"box_2d\": [399.71, 171.28, 506.84, 210.62], \"box_3d\": [1.57, 1.54, 4.1, -6.55, 1.53, 30.21], \"ry\": 0.07}, {\"category\": \"Car\", \"angle\": -2.95, \"box_2d\": [433.66, 164.2, 519.77, 204.83], \"box_3d\": [1.89, 1.59, 3.87, -6.46, 1.51, 35.07], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [649.54, 174.79, 694.8, 210.17], \"box_3d\": [1.45, 1.59, 3.59, 2.65, 1.56, 31.78], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [677.9, 175.42, 759.76, 238.11], \"box_3d\": [1.54, 1.67, 3.72, 2.84, 1.63, 19.77], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [638.05, 169.71, 671.54, 199.45], \"box_3d\": [1.66, 1.74, 3.65, 2.57, 1.51, 42.53], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [734.87, 155.48, 1001.33, 345.26], \"box_3d\": [1.76, 1.71, 4.35, 2.75, 1.63, 8.92], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.46, \"box_2d\": [0.0, 189.52, 271.67, 333.04], \"box_3d\": [1.49, 1.61, 3.87, -6.35, 1.72, 8.5], \"ry\": -3.09}]\n```" + } + ] + }, + { + "id": 556, + "data_source": "Mono3DRefer", + "scene_name": "001584", + "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\": [785.11, 193.9, 1221.92, 374.0], \"box_3d\": [1.41, 1.64, 3.77, 2.66, 1.63, 6.01], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [477.25, 184.13, 532.08, 220.48], \"box_3d\": [1.43, 1.76, 3.97, -4.52, 1.94, 31.21], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [132.55, 199.4, 379.72, 334.14], \"box_3d\": [1.49, 1.61, 3.94, -4.9, 1.94, 10.56], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [309.39, 191.21, 450.68, 274.0], \"box_3d\": [1.48, 1.66, 3.9, -4.8, 1.91, 15.49], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 557, + "data_source": "Mono3DRefer", + "scene_name": "001588", + "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\": [314.33, 185.35, 369.1, 211.79], \"box_3d\": [1.45, 1.74, 3.42, -15.75, 2.21, 42.43], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 558, + "data_source": "Mono3DRefer", + "scene_name": "001593", + "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, 215.25, 377.01, 374.0], \"box_3d\": [1.44, 1.63, 3.32, -2.58, 1.75, 3.63], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.31, \"box_2d\": [904.49, 203.93, 1241.0, 374.0], \"box_3d\": [1.55, 1.55, 3.27, 2.77, 1.75, 3.14], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [732.71, 198.08, 987.43, 374.0], \"box_3d\": [1.48, 1.6, 3.79, 2.48, 1.83, 8.24], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [470.51, 192.98, 554.49, 261.94], \"box_3d\": [1.56, 1.55, 3.64, -2.49, 2.13, 18.91], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [519.79, 178.96, 583.62, 241.11], \"box_3d\": [1.91, 1.66, 4.22, -1.92, 2.12, 24.41], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [559.51, 179.97, 611.5, 226.96], \"box_3d\": [1.83, 1.69, 4.28, -0.99, 2.14, 30.38], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [619.92, 190.28, 660.62, 216.34], \"box_3d\": [1.51, 1.63, 4.03, 1.95, 2.66, 45.8], \"ry\": 1.86}]\n```" + } + ] + }, + { + "id": 559, + "data_source": "Mono3DRefer", + "scene_name": "001598", + "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\": [529.66, 171.82, 555.18, 194.65], \"box_3d\": [1.65, 1.56, 3.98, -5.09, 1.6, 54.53], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 560, + "data_source": "Mono3DRefer", + "scene_name": "001604", + "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\": [591.78, 176.65, 634.94, 217.45], \"box_3d\": [1.56, 1.65, 3.69, 0.11, 1.73, 29.7], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [315.91, 183.97, 388.42, 220.4], \"box_3d\": [1.4, 1.54, 3.67, -10.75, 1.88, 30.23], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [362.22, 180.22, 422.8, 214.34], \"box_3d\": [1.56, 1.7, 4.41, -10.68, 1.94, 35.63], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -0.89, \"box_2d\": [671.6, 173.81, 751.11, 210.59], \"box_3d\": [1.53, 1.57, 3.54, 4.47, 1.58, 31.82], \"ry\": -0.75}, {\"category\": \"Car\", \"angle\": -0.93, \"box_2d\": [668.46, 176.2, 745.19, 208.99], \"box_3d\": [1.5, 1.64, 3.99, 4.74, 1.68, 35.2], \"ry\": -0.8}, {\"category\": \"Car\", \"angle\": -0.87, \"box_2d\": [649.87, 176.46, 724.45, 204.46], \"box_3d\": [1.4, 1.65, 4.18, 4.15, 1.62, 38.66], \"ry\": -0.76}]\n```" + } + ] + }, + { + "id": 561, + "data_source": "Mono3DRefer", + "scene_name": "001606", + "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\": [569.32, 177.9, 615.36, 214.86], \"box_3d\": [1.46, 1.63, 4.47, -0.73, 1.7, 31.13], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [594.12, 169.32, 637.85, 200.14], \"box_3d\": [1.7, 1.82, 4.45, 0.39, 1.53, 42.31], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": -2.86, \"box_2d\": [309.3, 173.8, 495.92, 236.16], \"box_3d\": [1.47, 1.68, 4.26, -5.21, 1.52, 18.36], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 562, + "data_source": "Mono3DRefer", + "scene_name": "001610", + "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\": [796.85, 184.16, 1241.0, 374.0], \"box_3d\": [1.49, 1.71, 3.58, 2.84, 1.6, 5.86], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.28, \"box_2d\": [258.92, 201.75, 435.77, 307.55], \"box_3d\": [1.39, 1.81, 3.46, -4.23, 1.94, 12.09], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [683.79, 181.03, 782.86, 255.45], \"box_3d\": [1.47, 1.55, 3.37, 2.61, 1.66, 16.15], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.36, \"box_2d\": [407.04, 183.36, 498.75, 248.85], \"box_3d\": [1.72, 1.8, 4.16, -4.56, 2.05, 21.38], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [486.83, 183.19, 530.45, 218.86], \"box_3d\": [1.62, 1.66, 3.81, -4.94, 2.14, 35.34], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [518.1, 184.21, 548.86, 206.4], \"box_3d\": [1.46, 1.67, 4.92, -5.42, 2.29, 51.42], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [648.45, 175.54, 695.7, 214.56], \"box_3d\": [1.61, 1.67, 3.62, 2.65, 1.75, 31.89], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 563, + "data_source": "Mono3DRefer", + "scene_name": "001619", + "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\": [727.62, 181.95, 929.59, 305.85], \"box_3d\": [1.41, 1.58, 4.36, 2.84, 1.55, 10.54], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 564, + "data_source": "Mono3DRefer", + "scene_name": "001626", + "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\": -3.02, \"box_2d\": [448.62, 185.48, 517.58, 209.22], \"box_3d\": [1.47, 1.74, 4.26, -8.31, 2.33, 47.36], \"ry\": 3.09}]\n```" + } + ] + }, + { + "id": 565, + "data_source": "Mono3DRefer", + "scene_name": "001629", + "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\": [617.16, 181.63, 703.89, 260.51], \"box_3d\": [1.46, 1.53, 3.17, 0.92, 1.65, 15.14], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 566, + "data_source": "Mono3DRefer", + "scene_name": "001634", + "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\": [987.33, 189.54, 1241.0, 374.0], \"box_3d\": [1.41, 1.57, 3.16, 2.88, 1.5, 2.67], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": 2.26, \"box_2d\": [0.0, 214.97, 197.03, 374.0], \"box_3d\": [1.53, 1.56, 3.58, -5.99, 2.04, 7.19], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [430.63, 188.45, 485.45, 226.37], \"box_3d\": [1.42, 1.54, 3.5, -6.24, 2.09, 29.78], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [650.53, 174.55, 695.9, 209.69], \"box_3d\": [1.51, 1.75, 3.78, 2.83, 1.62, 33.32], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [458.42, 186.28, 505.31, 216.88], \"box_3d\": [1.36, 1.51, 4.02, -6.22, 2.04, 35.23], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [489.59, 179.45, 526.62, 209.94], \"box_3d\": [1.74, 1.65, 4.11, -6.13, 2.15, 43.57], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -0.97, \"box_2d\": [66.41, 204.45, 153.77, 236.54], \"box_3d\": [1.43, 1.8, 3.96, -25.92, 3.15, 37.54], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.02, \"box_2d\": [118.77, 202.56, 197.3, 233.74], \"box_3d\": [1.4, 1.6, 3.97, -23.46, 3.02, 37.57], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.05, \"box_2d\": [159.73, 198.14, 243.17, 231.88], \"box_3d\": [1.49, 1.7, 4.51, -20.84, 2.86, 36.98], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.11, \"box_2d\": [216.31, 198.79, 289.44, 232.43], \"box_3d\": [1.5, 1.56, 4.45, -18.33, 2.9, 37.19], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 567, + "data_source": "Mono3DRefer", + "scene_name": "001639", + "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\": [795.49, 174.34, 860.8, 201.49], \"box_3d\": [1.48, 1.36, 3.51, 12.41, 1.59, 41.3], \"ry\": -2.15}]\n```" + } + ] + }, + { + "id": 568, + "data_source": "Mono3DRefer", + "scene_name": "001646", + "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\": -0.92, \"box_2d\": [669.02, 179.16, 768.17, 218.35], \"box_3d\": [1.4, 1.65, 4.18, 4.3, 1.67, 28.4], \"ry\": -0.77}, {\"category\": \"Car\", \"angle\": -0.92, \"box_2d\": [660.41, 176.69, 745.31, 215.51], \"box_3d\": [1.59, 1.65, 3.94, 4.11, 1.78, 31.82], \"ry\": -0.79}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [594.28, 178.84, 636.54, 218.8], \"box_3d\": [1.56, 1.65, 3.69, 0.18, 1.82, 30.3], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.1, \"box_2d\": [154.91, 190.02, 286.82, 248.18], \"box_3d\": [1.4, 1.54, 3.67, -10.66, 1.91, 19.98], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [256.97, 183.17, 356.95, 232.68], \"box_3d\": [1.56, 1.7, 4.41, -10.59, 1.94, 25.48], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -0.96, \"box_2d\": [707.05, 174.7, 820.99, 230.5], \"box_3d\": [1.53, 1.57, 3.54, 4.63, 1.6, 21.62], \"ry\": -0.75}, {\"category\": \"Car\", \"angle\": -0.93, \"box_2d\": [695.77, 177.37, 805.38, 224.96], \"box_3d\": [1.5, 1.64, 3.99, 4.88, 1.67, 24.93], \"ry\": -0.74}]\n```" + } + ] + }, + { + "id": 569, + "data_source": "Mono3DRefer", + "scene_name": "001652", + "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\": -1.44, \"box_2d\": [603.95, 186.24, 646.19, 216.13], \"box_3d\": [1.44, 1.66, 4.53, 0.83, 2.17, 38.19], \"ry\": -1.42}]\n```" + } + ] + }, + { + "id": 570, + "data_source": "Mono3DRefer", + "scene_name": "001656", + "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\": [853.47, 200.96, 1241.0, 374.0], \"box_3d\": [1.38, 1.58, 3.66, 2.5, 1.57, 3.28], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.26, \"box_2d\": [727.09, 185.84, 999.42, 357.62], \"box_3d\": [1.42, 1.6, 3.78, 2.43, 1.59, 8.05], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 2.21, \"box_2d\": [517.99, 176.68, 685.76, 257.05], \"box_3d\": [1.57, 1.65, 4.1, -0.09, 1.68, 16.35], \"ry\": 2.2}]\n```" + } + ] + }, + { + "id": 571, + "data_source": "Mono3DRefer", + "scene_name": "001662", + "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\": 0.92, \"box_2d\": [875.07, 106.85, 1241.0, 374.0], \"box_3d\": [1.79, 1.72, 4.35, 3.65, 1.49, 5.18], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [0.0, 207.76, 337.87, 374.0], \"box_3d\": [1.45, 1.49, 4.07, -3.94, 1.84, 6.42], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [351.92, 197.74, 469.76, 274.84], \"box_3d\": [1.27, 1.54, 3.58, -3.94, 1.83, 14.65], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [424.68, 179.27, 505.3, 242.2], \"box_3d\": [1.63, 1.65, 3.91, -4.13, 1.83, 20.9], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [603.45, 177.11, 637.32, 207.61], \"box_3d\": [1.46, 1.53, 3.17, 0.46, 1.69, 36.52], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 572, + "data_source": "Mono3DRefer", + "scene_name": "001666", + "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\": [762.07, 184.98, 1125.99, 374.0], \"box_3d\": [1.56, 1.57, 3.98, 2.7, 1.7, 7.0], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.84, \"box_2d\": [358.14, 177.26, 452.16, 218.74], \"box_3d\": [1.61, 1.57, 3.35, -8.33, 1.81, 29.37], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": 1.39, \"box_2d\": [686.54, 166.43, 729.36, 198.46], \"box_3d\": [1.79, 1.72, 4.35, 5.73, 1.46, 42.86], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [564.78, 178.69, 590.74, 203.86], \"box_3d\": [1.45, 1.49, 4.07, -1.97, 1.82, 43.99], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 573, + "data_source": "Mono3DRefer", + "scene_name": "001675", + "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\": [245.71, 192.25, 326.34, 227.95], \"box_3d\": [1.46, 1.86, 4.01, -14.81, 2.39, 33.14], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 574, + "data_source": "Mono3DRefer", + "scene_name": "001677", + "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, 195.97, 226.01, 293.89], \"box_3d\": [1.48, 1.6, 3.9, -9.14, 1.97, 13.61], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [376.64, 182.08, 441.96, 220.0], \"box_3d\": [1.61, 1.67, 4.56, -9.23, 2.05, 33.42], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 575, + "data_source": "Mono3DRefer", + "scene_name": "001685", + "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\": [815.22, 172.08, 911.67, 236.95], \"box_3d\": [1.55, 1.57, 3.64, 6.59, 1.56, 19.23], \"ry\": -1.48}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [899.78, 174.45, 1017.82, 231.57], \"box_3d\": [1.33, 1.47, 3.83, 8.91, 1.39, 18.85], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": 0.64, \"box_2d\": [0.0, 188.25, 140.87, 245.0], \"box_3d\": [1.76, 1.56, 4.01, -18.08, 2.3, 23.87], \"ry\": -0.0}]\n```" + } + ] + }, + { + "id": 576, + "data_source": "Mono3DRefer", + "scene_name": "001691", + "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\": -1.54, \"box_2d\": [694.29, 181.46, 721.01, 205.97], \"box_3d\": [1.54, 1.63, 3.67, 6.5, 2.13, 47.99], \"ry\": -1.4}, {\"category\": \"Car\", \"angle\": -1.91, \"box_2d\": [775.56, 182.64, 1040.16, 349.6], \"box_3d\": [1.58, 1.67, 3.84, 3.27, 1.72, 8.88], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [548.44, 183.54, 614.62, 229.98], \"box_3d\": [1.53, 1.67, 3.78, -0.99, 1.93, 26.06], \"ry\": 1.73}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [753.01, 153.67, 876.6, 281.05], \"box_3d\": [2.05, 1.5, 3.83, 3.65, 1.77, 13.6], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 577, + "data_source": "Mono3DRefer", + "scene_name": "001698", + "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\": [536.09, 179.83, 562.46, 201.92], \"box_3d\": [1.45, 1.53, 3.98, -4.2, 1.95, 50.02], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [469.01, 178.69, 529.97, 227.77], \"box_3d\": [1.65, 1.56, 3.98, -4.0, 1.87, 26.42], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 578, + "data_source": "Mono3DRefer", + "scene_name": "001703", + "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\": 1.54, \"box_2d\": [529.6, 182.07, 563.56, 216.64], \"box_3d\": [1.68, 1.63, 3.9, -3.38, 2.17, 37.61], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.44, \"box_2d\": [500.24, 183.64, 528.7, 202.99], \"box_3d\": [1.47, 1.7, 4.39, -7.74, 2.35, 58.02], \"ry\": 1.31}]\n```" + } + ] + }, + { + "id": 579, + "data_source": "Mono3DRefer", + "scene_name": "001715", + "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\": [541.08, 179.47, 571.06, 201.81], \"box_3d\": [1.44, 1.72, 4.14, -3.66, 1.91, 49.29], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 580, + "data_source": "Mono3DRefer", + "scene_name": "001727", + "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\": 2.02, \"box_2d\": [200.64, 188.13, 300.08, 235.77], \"box_3d\": [1.6, 1.79, 3.91, -13.42, 2.21, 27.12], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 581, + "data_source": "Mono3DRefer", + "scene_name": "001728", + "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\": [91.01, 200.84, 222.95, 259.01], \"box_3d\": [1.35, 1.5, 3.64, -12.48, 2.19, 20.08], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 582, + "data_source": "Mono3DRefer", + "scene_name": "001729", + "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\": [1025.57, 211.79, 1241.0, 374.0], \"box_3d\": [1.4, 1.64, 3.73, 3.34, 1.65, 3.0], \"ry\": -1.41}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [786.34, 187.45, 849.86, 232.24], \"box_3d\": [1.4, 1.61, 4.37, 7.26, 1.95, 25.65], \"ry\": -1.42}]\n```" + } + ] + }, + { + "id": 583, + "data_source": "Mono3DRefer", + "scene_name": "001733", + "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\": [634.65, 179.26, 673.28, 211.63], \"box_3d\": [1.61, 1.67, 3.62, 2.24, 1.96, 38.07], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.82, \"box_2d\": [703.35, 182.68, 865.92, 289.41], \"box_3d\": [1.49, 1.71, 3.58, 2.68, 1.67, 12.08], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.39, \"box_2d\": [380.31, 193.92, 479.25, 258.68], \"box_3d\": [1.39, 1.81, 3.46, -4.47, 1.97, 18.21], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [656.98, 182.59, 723.24, 235.11], \"box_3d\": [1.47, 1.55, 3.37, 2.36, 1.79, 22.28], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [448.34, 182.73, 515.19, 232.26], \"box_3d\": [1.72, 1.8, 4.16, -4.84, 2.11, 27.54], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [497.47, 184.78, 534.26, 215.11], \"box_3d\": [1.62, 1.66, 3.81, -5.38, 2.33, 41.43], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 584, + "data_source": "Mono3DRefer", + "scene_name": "001739", + "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\": 1.54, \"box_2d\": [537.25, 189.24, 569.33, 222.81], \"box_3d\": [1.68, 1.63, 3.9, -3.18, 2.61, 39.54], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [506.07, 189.61, 530.59, 207.34], \"box_3d\": [1.47, 1.7, 4.39, -8.27, 3.0, 64.72], \"ry\": 1.33}]\n```" + } + ] + }, + { + "id": 585, + "data_source": "Mono3DRefer", + "scene_name": "001750", + "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\": 2.19, \"box_2d\": [0.0, 192.42, 148.33, 258.77], \"box_3d\": [1.48, 1.61, 3.39, -13.83, 2.03, 18.61], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.23, \"box_2d\": [0.0, 191.38, 107.95, 249.14], \"box_3d\": [1.44, 1.79, 4.32, -16.82, 2.01, 20.69], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [278.39, 183.08, 348.83, 219.49], \"box_3d\": [1.6, 1.78, 3.86, -13.99, 2.1, 34.2], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [241.18, 181.83, 311.79, 216.76], \"box_3d\": [1.65, 1.77, 3.85, -16.82, 2.12, 36.51], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [410.39, 179.97, 446.93, 201.04], \"box_3d\": [1.58, 1.82, 3.87, -14.2, 2.15, 56.62], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 586, + "data_source": "Mono3DRefer", + "scene_name": "001752", + "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\": [427.03, 183.84, 459.93, 201.11], \"box_3d\": [1.46, 1.86, 4.01, -14.84, 2.46, 64.43], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 587, + "data_source": "Mono3DRefer", + "scene_name": "001759", + "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\": [635.76, 174.97, 667.37, 200.28], \"box_3d\": [1.5, 1.62, 3.89, 2.54, 1.66, 45.3], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [684.66, 170.61, 764.99, 233.79], \"box_3d\": [1.69, 1.58, 3.95, 3.28, 1.66, 21.5], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [755.79, 185.2, 908.81, 283.88], \"box_3d\": [1.41, 1.57, 3.23, 3.54, 1.64, 12.19], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.14, \"box_2d\": [946.12, 182.23, 1209.36, 288.27], \"box_3d\": [1.45, 1.61, 4.2, 7.46, 1.62, 12.16], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.52, \"box_2d\": [820.71, 175.86, 891.13, 204.14], \"box_3d\": [1.48, 1.36, 3.51, 13.47, 1.67, 39.73], \"ry\": -2.2}]\n```" + } + ] + }, + { + "id": 588, + "data_source": "Mono3DRefer", + "scene_name": "001762", + "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\": [81.75, 190.51, 214.47, 243.57], \"box_3d\": [1.56, 1.7, 4.35, -15.52, 2.2, 24.48], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [317.82, 183.64, 379.79, 217.04], \"box_3d\": [1.6, 1.79, 3.91, -13.45, 2.18, 37.31], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 589, + "data_source": "Mono3DRefer", + "scene_name": "001772", + "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, 194.3, 349.61, 374.0], \"box_3d\": [1.55, 1.68, 4.42, -2.79, 1.7, 3.16], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [717.45, 176.93, 914.92, 314.61], \"box_3d\": [1.6, 1.53, 4.18, 2.69, 1.67, 10.56], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [672.86, 178.84, 781.32, 258.58], \"box_3d\": [1.56, 1.57, 3.98, 2.46, 1.71, 16.33], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.41, \"box_2d\": [663.95, 167.76, 697.64, 193.79], \"box_3d\": [1.79, 1.72, 4.35, 5.06, 1.47, 52.23], \"ry\": 1.5}]\n```" + } + ] + }, + { + "id": 590, + "data_source": "Mono3DRefer", + "scene_name": "001778", + "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\": [487.04, 175.06, 560.72, 233.28], \"box_3d\": [1.46, 1.63, 4.47, -2.39, 1.55, 20.61], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [534.48, 165.26, 593.34, 206.92], \"box_3d\": [1.7, 1.82, 4.45, -1.98, 1.42, 31.89], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": -0.62, \"box_2d\": [607.24, 166.76, 657.74, 193.53], \"box_3d\": [1.57, 1.56, 2.62, 1.34, 1.22, 43.74], \"ry\": -0.59}, {\"category\": \"Car\", \"angle\": -2.55, \"box_2d\": [0.0, 176.38, 278.1, 332.98], \"box_3d\": [1.47, 1.68, 4.26, -6.11, 1.53, 7.69], \"ry\": 3.08}]\n```" + } + ] + }, + { + "id": 591, + "data_source": "Mono3DRefer", + "scene_name": "001779", + "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\": -2.4, \"box_2d\": [0.0, 194.78, 220.47, 374.0], \"box_3d\": [1.47, 1.67, 4.28, -6.37, 1.72, 6.91], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": -2.79, \"box_2d\": [48.82, 190.67, 366.54, 285.48], \"box_3d\": [1.38, 1.67, 4.37, -6.59, 1.71, 12.17], \"ry\": 3.0}, {\"category\": \"Car\", \"angle\": -1.01, \"box_2d\": [1194.01, 166.76, 1241.0, 374.0], \"box_3d\": [1.54, 1.58, 3.2, 4.71, 1.49, 3.14], \"ry\": -0.07}, {\"category\": \"Car\", \"angle\": -2.13, \"box_2d\": [1004.94, 155.99, 1192.67, 258.77], \"box_3d\": [1.54, 1.44, 2.54, 8.04, 1.31, 12.17], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -2.3, \"box_2d\": [1115.1, 151.35, 1241.0, 254.6], \"box_3d\": [1.59, 1.8, 3.41, 10.53, 1.26, 12.06], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 0.56, \"box_2d\": [157.98, 184.38, 341.44, 240.76], \"box_3d\": [1.42, 1.41, 4.3, -9.61, 1.75, 19.26], \"ry\": 0.11}]\n```" + } + ] + }, + { + "id": 592, + "data_source": "Mono3DRefer", + "scene_name": "001783", + "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\": [605.42, 181.13, 634.74, 208.5], \"box_3d\": [1.5, 1.62, 4.19, 0.56, 2.0, 42.25], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 593, + "data_source": "Mono3DRefer", + "scene_name": "001784", + "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\": [188.9, 193.27, 446.76, 351.87], \"box_3d\": [1.44, 1.62, 3.67, -3.27, 1.73, 8.76], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [430.05, 181.92, 525.87, 252.98], \"box_3d\": [1.51, 1.62, 3.68, -3.12, 1.75, 17.46], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 594, + "data_source": "Mono3DRefer", + "scene_name": "001807", + "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\": [379.68, 184.9, 424.23, 209.63], \"box_3d\": [1.48, 1.71, 3.54, -13.26, 2.27, 46.1], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 595, + "data_source": "Mono3DRefer", + "scene_name": "001809", + "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\": [513.12, 177.54, 548.99, 208.95], \"box_3d\": [1.7, 1.72, 4.11, -4.52, 1.99, 41.53], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 596, + "data_source": "Mono3DRefer", + "scene_name": "001811", + "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\": -0.59, \"box_2d\": [680.88, 174.29, 845.64, 248.43], \"box_3d\": [1.62, 1.47, 3.66, 3.64, 1.67, 17.34], \"ry\": -0.38}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [337.45, 200.21, 526.35, 353.54], \"box_3d\": [1.38, 1.43, 3.64, -2.0, 1.78, 8.87], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 597, + "data_source": "Mono3DRefer", + "scene_name": "001824", + "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\": [199.72, 188.3, 291.62, 229.29], \"box_3d\": [1.56, 1.7, 4.35, -15.46, 2.26, 30.82], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [364.04, 182.24, 413.35, 210.1], \"box_3d\": [1.6, 1.79, 3.91, -13.5, 2.19, 44.15], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 598, + "data_source": "Mono3DRefer", + "scene_name": "001829", + "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\": [984.27, 173.21, 1030.24, 203.05], \"box_3d\": [1.46, 1.74, 3.99, 20.59, 1.49, 37.38], \"ry\": 2.16}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [791.69, 180.56, 888.5, 233.92], \"box_3d\": [1.42, 1.68, 4.29, 7.0, 1.67, 21.78], \"ry\": 2.15}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [870.14, 181.23, 929.61, 219.4], \"box_3d\": [1.36, 1.4, 3.8, 11.32, 1.7, 28.13], \"ry\": 2.16}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [934.38, 177.11, 971.43, 204.61], \"box_3d\": [1.44, 1.65, 2.96, 18.84, 1.69, 39.64], \"ry\": 2.07}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [709.74, 180.08, 836.63, 253.17], \"box_3d\": [1.48, 1.51, 4.35, 3.94, 1.67, 17.04], \"ry\": 2.14}]\n```" + } + ] + }, + { + "id": 599, + "data_source": "Mono3DRefer", + "scene_name": "001832", + "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\": [301.96, 181.15, 511.37, 329.23], \"box_3d\": [1.57, 1.54, 4.01, -2.5, 1.69, 9.72], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 2.21, \"box_2d\": [0.0, 181.49, 313.33, 374.0], \"box_3d\": [1.65, 1.75, 3.39, -2.52, 1.69, 2.5], \"ry\": 1.47}]\n```" + } + ] + }, + { + "id": 600, + "data_source": "Mono3DRefer", + "scene_name": "001842", + "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\": [610.43, 177.52, 638.81, 200.51], \"box_3d\": [1.54, 1.63, 3.67, 1.04, 1.89, 50.75], \"ry\": -1.45}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [450.64, 183.63, 504.73, 215.6], \"box_3d\": [1.56, 1.59, 3.69, -6.88, 2.14, 37.71], \"ry\": 1.74}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [479.0, 175.05, 525.53, 209.84], \"box_3d\": [1.93, 1.59, 4.01, -6.29, 2.08, 42.34], \"ry\": 1.72}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [657.28, 174.48, 685.44, 200.55], \"box_3d\": [1.58, 1.67, 3.84, 3.87, 1.71, 46.17], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": 2.76, \"box_2d\": [946.64, 163.36, 1032.23, 192.21], \"box_3d\": [1.39, 1.51, 3.49, 19.06, 0.95, 36.4], \"ry\": -3.04}]\n```" + } + ] + }, + { + "id": 601, + "data_source": "Mono3DRefer", + "scene_name": "001856", + "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\": -1.3, \"box_2d\": [268.24, 192.18, 488.76, 324.62], \"box_3d\": [1.33, 1.71, 4.09, -2.87, 1.64, 9.78], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [654.58, 169.64, 721.8, 219.87], \"box_3d\": [1.49, 1.56, 4.34, 2.45, 1.43, 23.82], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [444.19, 178.7, 530.52, 241.17], \"box_3d\": [1.42, 1.53, 4.12, -3.1, 1.59, 18.7], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [705.57, 169.71, 876.51, 293.87], \"box_3d\": [1.59, 1.59, 3.89, 2.57, 1.58, 11.33], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [630.36, 171.44, 661.62, 197.3], \"box_3d\": [1.38, 1.64, 3.51, 2.03, 1.33, 40.58], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 602, + "data_source": "Mono3DRefer", + "scene_name": "001860", + "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\": -2.4, \"box_2d\": [0.0, 174.15, 122.61, 318.73], \"box_3d\": [1.69, 1.77, 3.51, -8.71, 1.73, 9.32], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": -2.57, \"box_2d\": [0.0, 185.07, 254.96, 290.84], \"box_3d\": [1.61, 1.66, 3.86, -8.37, 1.84, 12.15], \"ry\": 3.11}, {\"category\": \"Car\", \"angle\": 3.04, \"box_2d\": [146.68, 180.65, 342.92, 259.2], \"box_3d\": [1.59, 1.71, 3.9, -8.47, 1.8, 16.74], \"ry\": 2.57}, {\"category\": \"Car\", \"angle\": 2.94, \"box_2d\": [193.59, 179.49, 364.02, 252.01], \"box_3d\": [1.73, 1.69, 3.88, -8.85, 1.93, 19.3], \"ry\": 2.52}, {\"category\": \"Car\", \"angle\": 3.02, \"box_2d\": [312.4, 179.28, 393.38, 223.97], \"box_3d\": [1.43, 1.57, 2.43, -8.84, 1.67, 24.68], \"ry\": 2.68}, {\"category\": \"Car\", \"angle\": 3.07, \"box_2d\": [338.95, 179.16, 445.81, 221.14], \"box_3d\": [1.48, 1.74, 3.77, -8.33, 1.74, 27.46], \"ry\": 2.78}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [456.44, 178.68, 496.4, 208.54], \"box_3d\": [1.55, 1.54, 3.06, -7.28, 1.88, 39.37], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 603, + "data_source": "Mono3DRefer", + "scene_name": "001866", + "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\": -3.0, \"box_2d\": [427.53, 187.28, 505.74, 214.12], \"box_3d\": [1.47, 1.74, 4.26, -8.35, 2.34, 42.15], \"ry\": 3.09}]\n```" + } + ] + }, + { + "id": 604, + "data_source": "Mono3DRefer", + "scene_name": "001867", + "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\": 2.28, \"box_2d\": [0.0, 184.99, 301.76, 374.0], \"box_3d\": [1.48, 1.64, 3.95, -3.3, 1.56, 3.66], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -2.17, \"box_2d\": [867.24, 207.12, 1241.0, 374.0], \"box_3d\": [1.35, 1.64, 3.84, 2.74, 1.6, 3.62], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.37, \"box_2d\": [694.62, 183.25, 824.53, 270.59], \"box_3d\": [1.42, 1.59, 4.19, 2.69, 1.64, 14.08], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [381.45, 182.87, 501.05, 263.9], \"box_3d\": [1.42, 1.64, 3.63, -3.34, 1.64, 14.71], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [672.15, 179.79, 748.54, 234.79], \"box_3d\": [1.38, 1.58, 3.66, 2.66, 1.58, 20.11], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [659.26, 176.02, 719.76, 221.17], \"box_3d\": [1.42, 1.6, 3.78, 2.62, 1.55, 24.82], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.81, \"box_2d\": [776.87, 165.28, 864.85, 196.73], \"box_3d\": [1.57, 1.65, 4.1, 11.01, 1.21, 37.93], \"ry\": 3.09}]\n```" + } + ] + }, + { + "id": 605, + "data_source": "Mono3DRefer", + "scene_name": "001871", + "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\": [519.67, 182.57, 559.91, 212.03], \"box_3d\": [1.44, 1.72, 4.14, -3.69, 1.97, 38.19], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 606, + "data_source": "Mono3DRefer", + "scene_name": "001875", + "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\": [12.47, 190.45, 259.48, 296.18], \"box_3d\": [1.49, 1.71, 3.94, -7.99, 1.83, 12.6], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [497.72, 177.27, 525.28, 197.6], \"box_3d\": [1.56, 1.73, 4.21, -7.94, 1.94, 58.3], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 607, + "data_source": "Mono3DRefer", + "scene_name": "001885", + "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\": [221.36, 181.01, 312.24, 214.34], \"box_3d\": [1.6, 1.66, 4.49, -17.72, 2.04, 37.43], \"ry\": 1.87}, {\"category\": \"Car\", \"angle\": 2.53, \"box_2d\": [390.32, 173.24, 455.28, 201.61], \"box_3d\": [1.78, 1.67, 3.85, -12.27, 1.82, 47.35], \"ry\": 2.28}, {\"category\": \"Car\", \"angle\": 2.78, \"box_2d\": [338.79, 177.48, 404.59, 200.59], \"box_3d\": [1.59, 1.76, 4.18, -17.32, 1.95, 52.44], \"ry\": 2.46}, {\"category\": \"Car\", \"angle\": 3.06, \"box_2d\": [501.44, 169.9, 567.89, 192.15], \"box_3d\": [1.66, 1.57, 5.04, -5.93, 1.47, 56.47], \"ry\": 2.95}]\n```" + } + ] + }, + { + "id": 608, + "data_source": "Mono3DRefer", + "scene_name": "001887", + "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\": [482.73, 184.48, 537.83, 226.4], \"box_3d\": [1.39, 1.48, 3.76, -3.62, 1.83, 26.41], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 609, + "data_source": "Mono3DRefer", + "scene_name": "001889", + "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\": [724.26, 175.05, 771.63, 198.45], \"box_3d\": [1.48, 1.36, 3.51, 9.07, 1.65, 47.77], \"ry\": -1.96}]\n```" + } + ] + }, + { + "id": 610, + "data_source": "Mono3DRefer", + "scene_name": "001892", + "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\": 2.52, \"box_2d\": [413.46, 177.05, 470.81, 197.31], \"box_3d\": [1.6, 1.66, 4.49, -13.88, 1.97, 59.8], \"ry\": 2.29}]\n```" + } + ] + }, + { + "id": 611, + "data_source": "Mono3DRefer", + "scene_name": "001897", + "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\": [649.18, 177.54, 795.77, 276.22], \"box_3d\": [1.51, 1.53, 3.38, 1.82, 1.61, 12.97], \"ry\": -1.76}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [550.4, 180.68, 610.5, 219.96], \"box_3d\": [1.39, 1.54, 3.42, -1.23, 1.7, 27.62], \"ry\": -1.84}, {\"category\": \"Car\", \"angle\": 2.5, \"box_2d\": [1143.65, 183.39, 1241.0, 374.0], \"box_3d\": [1.53, 1.54, 3.54, 6.35, 1.6, 5.38], \"ry\": -2.95}, {\"category\": \"Car\", \"angle\": 2.5, \"box_2d\": [496.23, 174.0, 561.69, 201.72], \"box_3d\": [1.56, 1.39, 3.73, -4.77, 1.64, 42.55], \"ry\": 2.39}, {\"category\": \"Car\", \"angle\": -0.82, \"box_2d\": [604.87, 172.05, 674.42, 201.95], \"box_3d\": [1.56, 1.67, 3.78, 1.63, 1.53, 39.52], \"ry\": -0.78}, {\"category\": \"Car\", \"angle\": -0.95, \"box_2d\": [658.77, 171.7, 720.53, 198.48], \"box_3d\": [1.5, 1.53, 4.04, 4.71, 1.45, 42.47], \"ry\": -0.84}, {\"category\": \"Car\", \"angle\": -0.94, \"box_2d\": [715.32, 172.65, 762.0, 195.12], \"box_3d\": [1.38, 1.28, 3.16, 8.16, 1.37, 45.8], \"ry\": -0.76}]\n```" + } + ] + }, + { + "id": 612, + "data_source": "Mono3DRefer", + "scene_name": "001899", + "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\": [549.66, 173.77, 573.91, 195.41], \"box_3d\": [1.7, 1.72, 4.11, -3.95, 1.8, 59.33], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 613, + "data_source": "Mono3DRefer", + "scene_name": "001907", + "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\": [574.49, 183.36, 657.44, 262.64], \"box_3d\": [1.55, 1.63, 3.32, 0.08, 1.79, 16.01], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.21, \"box_2d\": [0.0, 209.5, 155.71, 268.4], \"box_3d\": [1.37, 1.82, 3.96, -15.39, 2.52, 20.92], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [278.1, 195.64, 363.74, 233.79], \"box_3d\": [1.4, 1.75, 4.75, -12.37, 2.45, 31.14], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.52, \"box_2d\": [1146.21, 183.13, 1241.0, 255.04], \"box_3d\": [1.59, 1.73, 4.26, 15.39, 1.84, 16.92], \"ry\": -3.03}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [207.66, 200.97, 283.06, 233.69], \"box_3d\": [1.46, 1.81, 4.16, -18.74, 2.98, 37.23], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [370.1, 190.99, 411.91, 216.46], \"box_3d\": [1.62, 1.85, 3.57, -15.03, 2.9, 49.62], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 614, + "data_source": "Mono3DRefer", + "scene_name": "001917", + "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\": [641.56, 175.81, 665.76, 198.76], \"box_3d\": [1.54, 1.63, 3.67, 3.06, 1.77, 50.91], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.82, \"box_2d\": [752.2, 161.92, 901.28, 286.87], \"box_3d\": [1.88, 1.57, 3.71, 3.62, 1.75, 12.82], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [832.21, 188.3, 1152.3, 374.0], \"box_3d\": [1.5, 1.56, 3.69, 3.29, 1.68, 7.09], \"ry\": -1.44}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [708.16, 174.98, 777.78, 234.78], \"box_3d\": [1.7, 1.62, 3.76, 4.03, 1.79, 22.59], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [694.74, 180.7, 732.85, 212.36], \"box_3d\": [1.4, 1.53, 3.56, 4.83, 1.78, 34.11], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 615, + "data_source": "Mono3DRefer", + "scene_name": "001932", + "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\": [466.43, 183.42, 530.19, 230.93], \"box_3d\": [1.39, 1.48, 3.76, -3.58, 1.75, 23.44], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.62, \"box_2d\": [548.06, 173.38, 577.82, 196.9], \"box_3d\": [1.46, 1.75, 4.23, -3.08, 1.53, 47.52], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 616, + "data_source": "Mono3DRefer", + "scene_name": "001933", + "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\": [585.69, 170.52, 607.19, 187.55], \"box_3d\": [1.26, 1.6, 3.56, -1.04, 1.11, 55.74], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 617, + "data_source": "Mono3DRefer", + "scene_name": "001934", + "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\": [428.46, 182.28, 477.41, 214.12], \"box_3d\": [1.51, 1.51, 4.15, -7.97, 2.0, 36.8], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [493.52, 178.09, 521.61, 196.88], \"box_3d\": [1.49, 1.71, 3.94, -8.45, 1.93, 59.7], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 618, + "data_source": "Mono3DRefer", + "scene_name": "001935", + "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\": [565.01, 171.09, 617.27, 221.53], \"box_3d\": [1.6, 1.66, 3.55, -0.73, 1.57, 24.9], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 619, + "data_source": "Mono3DRefer", + "scene_name": "001943", + "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\": [463.13, 177.96, 502.2, 204.74], \"box_3d\": [1.48, 1.64, 3.59, -7.42, 1.79, 42.16], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 620, + "data_source": "Mono3DRefer", + "scene_name": "001946", + "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\": [746.63, 128.04, 783.73, 155.31], \"box_3d\": [1.5, 1.62, 4.19, 9.93, -1.2, 46.05], \"ry\": 1.95}]\n```" + } + ] + }, + { + "id": 621, + "data_source": "Mono3DRefer", + "scene_name": "001948", + "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\": -2.48, \"box_2d\": [0.0, 166.55, 221.04, 310.34], \"box_3d\": [1.9, 1.78, 4.25, -8.33, 1.85, 10.52], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": 0.25, \"box_2d\": [354.64, 177.1, 457.56, 216.95], \"box_3d\": [1.52, 1.64, 3.7, -8.21, 1.72, 29.15], \"ry\": -0.02}]\n```" + } + ] + }, + { + "id": 622, + "data_source": "Mono3DRefer", + "scene_name": "001953", + "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\": 1.91, \"box_2d\": [1003.41, 183.87, 1115.25, 234.77], \"box_3d\": [1.42, 1.68, 4.29, 14.22, 1.79, 22.8], \"ry\": 2.46}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [1100.63, 183.02, 1176.29, 221.8], \"box_3d\": [1.36, 1.4, 3.8, 20.33, 1.77, 27.74], \"ry\": 2.46}, {\"category\": \"Car\", \"angle\": 1.98, \"box_2d\": [915.19, 181.89, 1046.53, 245.09], \"box_3d\": [1.48, 1.51, 4.35, 9.95, 1.74, 19.29], \"ry\": 2.45}]\n```" + } + ] + }, + { + "id": 623, + "data_source": "Mono3DRefer", + "scene_name": "001957", + "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\": -2.79, \"box_2d\": [214.51, 190.04, 399.14, 257.11], \"box_3d\": [1.41, 1.54, 3.6, -6.92, 1.83, 16.61], \"ry\": 3.1}]\n```" + } + ] + }, + { + "id": 624, + "data_source": "Mono3DRefer", + "scene_name": "001960", + "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\": [362.97, 180.11, 483.54, 262.14], \"box_3d\": [1.45, 1.64, 4.21, -3.76, 1.61, 15.05], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [643.48, 172.14, 700.04, 221.6], \"box_3d\": [1.62, 1.58, 3.89, 2.09, 1.62, 25.76], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [492.92, 175.87, 545.87, 211.07], \"box_3d\": [1.45, 1.67, 4.43, -4.01, 1.61, 32.29], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [628.36, 177.46, 675.45, 212.25], \"box_3d\": [1.47, 1.59, 3.62, 1.81, 1.69, 32.63], \"ry\": -1.66}]\n```" + } + ] + }, + { + "id": 625, + "data_source": "Mono3DRefer", + "scene_name": "001961", + "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\": -2.26, \"box_2d\": [737.57, 173.98, 803.64, 200.84], \"box_3d\": [1.62, 1.72, 4.35, 10.17, 1.72, 46.1], \"ry\": -2.04}]\n```" + } + ] + }, + { + "id": 626, + "data_source": "Mono3DRefer", + "scene_name": "001966", + "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\": -1.34, \"box_2d\": [366.5, 179.65, 496.91, 259.94], \"box_3d\": [1.46, 1.73, 4.19, -3.66, 1.62, 15.39], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [702.28, 175.33, 773.89, 221.51], \"box_3d\": [1.42, 1.66, 4.18, 4.23, 1.53, 24.61], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [547.13, 186.07, 758.41, 374.0], \"box_3d\": [1.49, 1.6, 3.83, 0.3, 1.65, 7.44], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 627, + "data_source": "Mono3DRefer", + "scene_name": "001974", + "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, 200.26, 160.08, 315.75], \"box_3d\": [1.48, 1.6, 3.9, -9.2, 1.98, 11.44], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [356.61, 183.64, 428.84, 224.71], \"box_3d\": [1.61, 1.67, 4.56, -9.32, 2.1, 31.21], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 628, + "data_source": "Mono3DRefer", + "scene_name": "001975", + "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\": [633.55, 176.18, 660.99, 193.25], \"box_3d\": [1.44, 1.68, 4.39, 3.3, 1.75, 63.49], \"ry\": 1.79}]\n```" + } + ] + }, + { + "id": 629, + "data_source": "Mono3DRefer", + "scene_name": "001977", + "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\": [102.68, 214.47, 217.03, 293.16], \"box_3d\": [1.6, 1.65, 3.77, -11.39, 2.73, 18.09], \"ry\": -2.35}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [32.18, 224.69, 102.97, 271.44], \"box_3d\": [1.37, 1.61, 4.26, -20.34, 3.42, 26.93], \"ry\": -2.33}, {\"category\": \"Car\", \"angle\": -2.18, \"box_2d\": [367.68, 211.68, 687.5, 374.0], \"box_3d\": [1.47, 1.58, 3.55, -1.1, 1.95, 7.69], \"ry\": -2.32}, {\"category\": \"Car\", \"angle\": -1.96, \"box_2d\": [239.87, 215.47, 463.1, 339.91], \"box_3d\": [1.37, 1.7, 4.38, -4.25, 2.14, 11.27], \"ry\": -2.32}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [172.09, 218.75, 314.85, 309.1], \"box_3d\": [1.4, 1.56, 3.91, -7.61, 2.44, 14.71], \"ry\": -2.32}]\n```" + } + ] + }, + { + "id": 630, + "data_source": "Mono3DRefer", + "scene_name": "001983", + "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\": [647.8, 178.52, 706.49, 221.98], \"box_3d\": [1.41, 1.58, 4.36, 2.28, 1.63, 25.85], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 631, + "data_source": "Mono3DRefer", + "scene_name": "002009", + "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\": 2.62, \"box_2d\": [867.24, 168.82, 1131.48, 247.6], \"box_3d\": [1.47, 1.77, 4.49, 7.82, 1.42, 14.83], \"ry\": 3.1}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [565.3, 184.71, 592.09, 208.34], \"box_3d\": [1.52, 1.62, 4.5, -2.22, 2.36, 49.83], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [473.44, 187.03, 506.34, 210.57], \"box_3d\": [1.42, 1.66, 4.5, -7.89, 2.38, 47.57], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 632, + "data_source": "Mono3DRefer", + "scene_name": "002016", + "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\": [31.06, 192.25, 253.86, 288.31], \"box_3d\": [1.61, 1.67, 4.56, -9.46, 2.06, 15.06], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 633, + "data_source": "Mono3DRefer", + "scene_name": "002024", + "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\": -2.06, \"box_2d\": [751.67, 184.29, 1241.0, 374.0], \"box_3d\": [1.46, 1.58, 3.93, 2.5, 1.57, 5.91], \"ry\": -1.68}, {\"category\": \"Car\", \"angle\": 2.1, \"box_2d\": [0.0, 197.52, 257.14, 373.42], \"box_3d\": [1.5, 1.68, 4.03, -5.95, 1.85, 8.56], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [644.27, 172.08, 789.56, 277.84], \"box_3d\": [1.6, 1.7, 3.56, 1.69, 1.61, 12.85], \"ry\": -1.68}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [601.25, 176.12, 702.66, 245.88], \"box_3d\": [1.52, 1.73, 3.89, 0.88, 1.63, 17.99], \"ry\": -1.72}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [290.17, 190.06, 385.31, 254.59], \"box_3d\": [1.44, 1.6, 3.79, -7.03, 1.93, 18.86], \"ry\": 1.41}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [339.98, 187.05, 406.22, 233.97], \"box_3d\": [1.42, 1.51, 3.71, -8.0, 1.93, 24.52], \"ry\": 1.43}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [582.02, 182.76, 645.14, 229.57], \"box_3d\": [1.37, 1.51, 3.49, 0.01, 1.7, 23.23], \"ry\": -1.72}]\n```" + } + ] + }, + { + "id": 634, + "data_source": "Mono3DRefer", + "scene_name": "002029", + "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\": [686.57, 187.14, 768.04, 251.55], \"box_3d\": [1.51, 1.56, 3.81, 3.0, 1.92, 19.38], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [669.73, 183.87, 736.04, 235.03], \"box_3d\": [1.57, 1.68, 3.83, 3.05, 1.97, 24.63], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [530.63, 180.97, 562.27, 212.61], \"box_3d\": [1.52, 1.5, 3.85, -3.24, 1.94, 36.93], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 635, + "data_source": "Mono3DRefer", + "scene_name": "002031", + "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\": -2.97, \"box_2d\": [399.8, 184.42, 491.5, 215.45], \"box_3d\": [1.47, 1.74, 4.26, -8.26, 2.08, 36.4], \"ry\": 3.09}]\n```" + } + ] + }, + { + "id": 636, + "data_source": "Mono3DRefer", + "scene_name": "002034", + "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\": [383.55, 192.77, 517.49, 287.08], \"box_3d\": [1.46, 1.75, 4.23, -2.95, 1.89, 14.01], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 637, + "data_source": "Mono3DRefer", + "scene_name": "002036", + "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\": [784.58, 124.54, 822.25, 152.15], \"box_3d\": [1.5, 1.62, 4.19, 12.34, -1.4, 45.95], \"ry\": 2.0}]\n```" + } + ] + }, + { + "id": 638, + "data_source": "Mono3DRefer", + "scene_name": "002037", + "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\": [130.14, 190.79, 233.14, 238.34], \"box_3d\": [1.63, 1.87, 3.47, -16.28, 2.35, 27.56], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [375.53, 186.9, 413.46, 205.73], \"box_3d\": [1.33, 1.72, 3.63, -16.29, 2.42, 54.64], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 639, + "data_source": "Mono3DRefer", + "scene_name": "002043", + "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\": -2.78, \"box_2d\": [292.69, 176.29, 411.41, 227.62], \"box_3d\": [1.61, 1.57, 3.35, -8.52, 1.75, 23.89], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 1.37, \"box_2d\": [692.11, 167.81, 742.84, 204.79], \"box_3d\": [1.79, 1.72, 4.35, 5.47, 1.57, 37.41], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.59, \"box_2d\": [552.45, 178.81, 582.17, 207.62], \"box_3d\": [1.45, 1.49, 4.07, -2.28, 1.78, 38.7], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 640, + "data_source": "Mono3DRefer", + "scene_name": "002047", + "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\": [268.12, 180.81, 313.32, 201.69], \"box_3d\": [1.32, 1.51, 3.55, -21.14, 1.85, 47.84], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -2.03, \"box_2d\": [811.76, 186.75, 1230.61, 374.0], \"box_3d\": [1.38, 1.51, 4.1, 3.26, 1.54, 6.83], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.98, \"box_2d\": [236.18, 180.58, 287.64, 205.21], \"box_3d\": [1.41, 1.48, 3.63, -21.03, 1.89, 43.66], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 641, + "data_source": "Mono3DRefer", + "scene_name": "002048", + "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\": [888.35, 184.43, 982.23, 250.23], \"box_3d\": [1.52, 1.54, 4.5, 8.57, 1.86, 19.44], \"ry\": -1.32}, {\"category\": \"Car\", \"angle\": -2.58, \"box_2d\": [335.96, 177.03, 541.82, 279.17], \"box_3d\": [1.59, 1.45, 3.15, -2.97, 1.68, 12.42], \"ry\": -2.81}]\n```" + } + ] + }, + { + "id": 642, + "data_source": "Mono3DRefer", + "scene_name": "002053", + "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\": 1.53, \"box_2d\": [529.73, 180.95, 557.03, 207.67], \"box_3d\": [1.68, 1.63, 3.9, -4.48, 2.23, 47.94], \"ry\": 1.44}]\n```" + } + ] + }, + { + "id": 643, + "data_source": "Mono3DRefer", + "scene_name": "002054", + "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\": [738.71, 184.5, 918.99, 312.07], \"box_3d\": [1.49, 1.61, 3.74, 2.89, 1.67, 10.46], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [586.9, 175.22, 624.25, 205.01], \"box_3d\": [1.46, 1.63, 4.47, -0.21, 1.61, 38.08], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": -2.95, \"box_2d\": [400.06, 175.37, 531.04, 219.96], \"box_3d\": [1.47, 1.68, 4.26, -5.04, 1.59, 25.35], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 644, + "data_source": "Mono3DRefer", + "scene_name": "002055", + "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\": [548.56, 175.36, 573.17, 197.58], \"box_3d\": [1.7, 1.72, 4.11, -3.92, 1.92, 57.85], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 645, + "data_source": "Mono3DRefer", + "scene_name": "002057", + "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\": [716.0, 143.83, 898.53, 263.83], \"box_3d\": [1.79, 1.72, 4.35, 3.26, 1.38, 13.05], \"ry\": 1.47}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [302.84, 189.59, 439.11, 282.76], \"box_3d\": [1.45, 1.49, 4.07, -4.42, 1.8, 13.8], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [424.45, 184.97, 489.79, 231.15], \"box_3d\": [1.27, 1.54, 3.58, -4.67, 1.66, 22.23], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [455.06, 173.09, 507.96, 217.74], \"box_3d\": [1.63, 1.65, 3.91, -5.07, 1.67, 28.66], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [580.67, 171.07, 607.98, 195.98], \"box_3d\": [1.46, 1.53, 3.17, -1.02, 1.38, 44.33], \"ry\": -1.63}]\n```" + } + ] + }, + { + "id": 646, + "data_source": "Mono3DRefer", + "scene_name": "002061", + "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\": [380.08, 169.25, 474.55, 252.42], \"box_3d\": [1.68, 1.63, 3.9, -4.15, 1.64, 16.75], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.51, \"box_2d\": [431.92, 175.13, 479.1, 212.32], \"box_3d\": [1.47, 1.7, 4.39, -6.75, 1.59, 31.06], \"ry\": 1.3}]\n```" + } + ] + }, + { + "id": 647, + "data_source": "Mono3DRefer", + "scene_name": "002062", + "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\": [242.26, 180.42, 457.99, 311.86], \"box_3d\": [1.48, 1.64, 3.95, -3.42, 1.59, 10.17], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [717.95, 189.19, 906.73, 309.4], \"box_3d\": [1.35, 1.64, 3.84, 2.63, 1.62, 10.42], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.44, \"box_2d\": [663.8, 177.9, 740.18, 233.05], \"box_3d\": [1.42, 1.59, 4.19, 2.51, 1.58, 20.87], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [452.65, 175.69, 523.93, 228.73], \"box_3d\": [1.42, 1.64, 3.63, -3.55, 1.52, 21.36], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [654.28, 176.0, 708.02, 216.37], \"box_3d\": [1.38, 1.58, 3.66, 2.53, 1.51, 26.73], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 648, + "data_source": "Mono3DRefer", + "scene_name": "002066", + "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\": [554.2, 180.44, 580.57, 198.58], \"box_3d\": [1.44, 1.72, 4.14, -3.54, 2.09, 60.28], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 649, + "data_source": "Mono3DRefer", + "scene_name": "002069", + "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\": [525.08, 172.78, 553.96, 198.3], \"box_3d\": [1.65, 1.56, 3.98, -4.77, 1.67, 49.01], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 650, + "data_source": "Mono3DRefer", + "scene_name": "002080", + "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\": -2.75, \"box_2d\": [300.23, 180.39, 491.9, 242.95], \"box_3d\": [1.47, 1.67, 4.28, -5.32, 1.68, 18.06], \"ry\": -3.04}, {\"category\": \"Car\", \"angle\": -3.02, \"box_2d\": [380.92, 179.54, 525.13, 225.54], \"box_3d\": [1.38, 1.67, 4.37, -5.01, 1.62, 23.32], \"ry\": 3.05}, {\"category\": \"Car\", \"angle\": -0.37, \"box_2d\": [807.2, 167.6, 1017.73, 258.35], \"box_3d\": [1.54, 1.58, 3.2, 5.41, 1.47, 13.29], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -0.45, \"box_2d\": [827.8, 167.72, 1153.76, 278.04], \"box_3d\": [1.51, 1.72, 4.03, 5.56, 1.47, 10.99], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 0.67, \"box_2d\": [0.0, 200.02, 369.8, 359.74], \"box_3d\": [1.38, 1.66, 4.38, -5.01, 1.71, 7.49], \"ry\": 0.09}, {\"category\": \"Car\", \"angle\": -0.91, \"box_2d\": [1091.07, 176.48, 1241.0, 374.0], \"box_3d\": [1.48, 1.86, 4.18, 4.66, 1.47, 2.93], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": -0.63, \"box_2d\": [874.81, 144.89, 1241.0, 374.0], \"box_3d\": [1.74, 1.66, 4.37, 4.76, 1.54, 6.27], \"ry\": -0.0}]\n```" + } + ] + }, + { + "id": 651, + "data_source": "Mono3DRefer", + "scene_name": "002093", + "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, 191.61, 283.73, 374.0], \"box_3d\": [1.46, 1.63, 4.47, -3.19, 1.6, 3.43], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [338.96, 165.87, 494.27, 267.45], \"box_3d\": [1.7, 1.82, 4.45, -3.67, 1.61, 14.39], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.35, \"box_2d\": [650.43, 170.42, 693.6, 203.93], \"box_3d\": [1.57, 1.56, 2.62, 3.04, 1.48, 35.34], \"ry\": -1.27}]\n```" + } + ] + }, + { + "id": 652, + "data_source": "Mono3DRefer", + "scene_name": "002121", + "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\": [282.72, 188.64, 351.24, 220.12], \"box_3d\": [1.56, 1.91, 4.44, -16.0, 2.46, 39.57], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 653, + "data_source": "Mono3DRefer", + "scene_name": "002122", + "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\": -0.6, \"box_2d\": [154.17, 189.61, 384.47, 281.6], \"box_3d\": [1.41, 1.62, 3.6, -6.25, 1.76, 13.51], \"ry\": -1.03}, {\"category\": \"Car\", \"angle\": -0.54, \"box_2d\": [32.46, 174.2, 305.11, 276.94], \"box_3d\": [1.77, 1.96, 4.39, -8.86, 1.82, 14.85], \"ry\": -1.07}]\n```" + } + ] + }, + { + "id": 654, + "data_source": "Mono3DRefer", + "scene_name": "002127", + "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\": [98.75, 169.48, 409.42, 348.97], \"box_3d\": [1.5, 1.62, 4.19, -3.65, 1.5, 8.22], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [642.67, 189.17, 669.13, 210.63], \"box_3d\": [1.41, 1.58, 4.36, 3.24, 2.62, 51.88], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 655, + "data_source": "Mono3DRefer", + "scene_name": "002131", + "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\": -2.56, \"box_2d\": [0.0, 179.8, 142.72, 331.83], \"box_3d\": [1.77, 1.73, 4.53, -8.8, 1.89, 9.05], \"ry\": 2.96}, {\"category\": \"Car\", \"angle\": -1.37, \"box_2d\": [367.71, 185.74, 477.48, 272.48], \"box_3d\": [1.57, 1.55, 3.32, -3.83, 1.86, 15.08], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [439.55, 183.89, 519.71, 242.16], \"box_3d\": [1.56, 1.68, 3.91, -3.85, 1.91, 21.68], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [493.93, 180.3, 536.03, 209.29], \"box_3d\": [1.43, 1.75, 4.47, -5.01, 1.83, 38.28], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 656, + "data_source": "Mono3DRefer", + "scene_name": "002137", + "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\": [880.29, 170.54, 1241.0, 374.0], \"box_3d\": [1.72, 1.67, 4.42, 2.98, 1.71, 3.15], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [167.25, 200.54, 438.48, 374.0], \"box_3d\": [1.44, 1.56, 3.84, -3.02, 1.8, 7.85], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": -1.52, \"box_2d\": [467.12, 186.17, 519.23, 235.58], \"box_3d\": [1.5, 1.55, 4.21, -3.97, 1.98, 24.79], \"ry\": -1.68}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [617.98, 174.75, 678.92, 231.86], \"box_3d\": [1.82, 1.65, 3.67, 1.23, 1.91, 25.06], \"ry\": -1.64}]\n```" + } + ] + }, + { + "id": 657, + "data_source": "Mono3DRefer", + "scene_name": "002141", + "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\": [802.48, 175.9, 864.2, 228.25], \"box_3d\": [1.56, 1.65, 3.69, 7.14, 1.67, 23.46], \"ry\": -1.34}, {\"category\": \"Car\", \"angle\": 2.46, \"box_2d\": [0.0, 195.51, 257.23, 374.0], \"box_3d\": [1.42, 1.67, 4.53, -5.54, 1.68, 6.55], \"ry\": 1.78}]\n```" + } + ] + }, + { + "id": 658, + "data_source": "Mono3DRefer", + "scene_name": "002148", + "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\": 1.79, \"box_2d\": [450.44, 176.41, 515.85, 215.34], \"box_3d\": [1.42, 1.78, 3.62, -4.6, 1.24, 28.34], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 659, + "data_source": "Mono3DRefer", + "scene_name": "002163", + "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\": 1.98, \"box_2d\": [249.18, 189.97, 324.18, 227.23], \"box_3d\": [1.45, 1.64, 3.61, -13.92, 2.23, 31.2], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [402.93, 182.01, 442.66, 204.2], \"box_3d\": [1.57, 1.9, 4.16, -14.04, 2.28, 54.23], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 660, + "data_source": "Mono3DRefer", + "scene_name": "002164", + "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\": -0.92, \"box_2d\": [663.46, 179.39, 746.37, 212.09], \"box_3d\": [1.48, 1.8, 4.31, 4.7, 1.83, 35.53], \"ry\": -0.79}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [655.0, 180.21, 688.72, 206.84], \"box_3d\": [1.69, 1.88, 4.5, 4.19, 2.2, 48.52], \"ry\": 1.74}]\n```" + } + ] + }, + { + "id": 661, + "data_source": "Mono3DRefer", + "scene_name": "002165", + "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\": 2.06, \"box_2d\": [187.06, 189.42, 253.17, 223.74], \"box_3d\": [1.54, 1.85, 2.47, -18.77, 2.37, 34.78], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 662, + "data_source": "Mono3DRefer", + "scene_name": "002168", + "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\": -2.75, \"box_2d\": [155.68, 184.56, 362.79, 251.57], \"box_3d\": [1.43, 1.6, 4.04, -8.11, 1.73, 16.84], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 0.37, \"box_2d\": [214.96, 177.57, 394.01, 238.05], \"box_3d\": [1.53, 1.72, 4.15, -8.27, 1.69, 19.69], \"ry\": -0.02}, {\"category\": \"Car\", \"angle\": -2.93, \"box_2d\": [296.23, 176.86, 427.73, 224.43], \"box_3d\": [1.52, 1.57, 4.01, -8.45, 1.69, 24.72], \"ry\": 3.03}, {\"category\": \"Car\", \"angle\": -0.27, \"box_2d\": [650.61, 180.34, 753.69, 223.14], \"box_3d\": [1.48, 1.63, 3.43, 3.32, 1.77, 26.55], \"ry\": -0.15}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [460.01, 175.88, 493.38, 195.74], \"box_3d\": [1.66, 1.66, 3.98, -11.63, 1.95, 62.68], \"ry\": -2.08}, {\"category\": \"Car\", \"angle\": -0.25, \"box_2d\": [664.39, 179.68, 779.91, 229.25], \"box_3d\": [1.55, 1.57, 3.51, 3.67, 1.8, 24.12], \"ry\": -0.1}, {\"category\": \"Car\", \"angle\": -0.41, \"box_2d\": [729.15, 181.04, 971.85, 269.47], \"box_3d\": [1.47, 1.74, 3.88, 4.31, 1.64, 13.38], \"ry\": -0.1}, {\"category\": \"Car\", \"angle\": 0.38, \"box_2d\": [77.95, 166.0, 318.79, 259.38], \"box_3d\": [1.68, 1.67, 3.79, -8.02, 1.58, 14.28], \"ry\": -0.13}]\n```" + } + ] + }, + { + "id": 663, + "data_source": "Mono3DRefer", + "scene_name": "002179", + "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\": [654.86, 183.49, 734.93, 240.49], \"box_3d\": [1.41, 1.58, 4.36, 2.25, 1.73, 20.47], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 664, + "data_source": "Mono3DRefer", + "scene_name": "002192", + "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\": [464.74, 181.03, 521.27, 226.06], \"box_3d\": [1.7, 1.72, 4.11, -4.76, 2.05, 29.64], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 665, + "data_source": "Mono3DRefer", + "scene_name": "002193", + "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\": [17.88, 213.87, 437.19, 374.0], \"box_3d\": [1.42, 1.57, 4.1, -2.91, 1.9, 6.5], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -2.25, \"box_2d\": [856.97, 213.09, 1241.0, 374.0], \"box_3d\": [1.43, 1.64, 4.14, 2.5, 1.69, 2.88], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [511.74, 186.31, 559.18, 225.95], \"box_3d\": [1.38, 1.53, 3.58, -2.84, 1.92, 27.69], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [649.77, 182.34, 693.71, 217.45], \"box_3d\": [1.49, 1.65, 4.06, 2.75, 1.94, 33.26], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [552.36, 183.11, 578.79, 207.86], \"box_3d\": [1.48, 1.54, 4.05, -2.83, 2.16, 46.18], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 666, + "data_source": "Mono3DRefer", + "scene_name": "002196", + "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\": [368.72, 184.86, 406.03, 214.14], \"box_3d\": [1.45, 1.62, 3.83, -11.89, 2.11, 38.61], \"ry\": 1.35}]\n```" + } + ] + }, + { + "id": 667, + "data_source": "Mono3DRefer", + "scene_name": "002197", + "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\": [761.64, 170.95, 812.18, 214.78], \"box_3d\": [1.56, 1.65, 3.69, 6.68, 1.52, 27.66], \"ry\": -1.39}]\n```" + } + ] + }, + { + "id": 668, + "data_source": "Mono3DRefer", + "scene_name": "002200", + "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\": 2.73, \"box_2d\": [1011.89, 168.02, 1225.84, 236.69], \"box_3d\": [1.5, 1.7, 3.72, 11.75, 1.43, 16.95], \"ry\": -2.96}, {\"category\": \"Car\", \"angle\": 2.47, \"box_2d\": [542.29, 171.25, 591.66, 192.18], \"box_3d\": [1.56, 1.39, 3.73, -3.31, 1.45, 55.53], \"ry\": 2.41}, {\"category\": \"Car\", \"angle\": 2.33, \"box_2d\": [0.0, 222.33, 248.54, 374.0], \"box_3d\": [1.39, 1.6, 3.8, -3.69, 1.77, 3.73], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -2.17, \"box_2d\": [896.0, 186.77, 1241.0, 374.0], \"box_3d\": [1.48, 1.56, 3.46, 3.06, 1.58, 4.13], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [653.18, 172.58, 723.26, 218.9], \"box_3d\": [1.51, 1.53, 3.38, 2.66, 1.53, 25.56], \"ry\": -1.76}, {\"category\": \"Car\", \"angle\": -1.94, \"box_2d\": [582.0, 174.14, 630.24, 200.39], \"box_3d\": [1.39, 1.54, 3.42, -0.29, 1.48, 40.29], \"ry\": -1.95}, {\"category\": \"Car\", \"angle\": 3.02, \"box_2d\": [816.64, 170.82, 978.82, 236.56], \"box_3d\": [1.53, 1.54, 3.54, 6.97, 1.51, 17.9], \"ry\": -2.9}]\n```" + } + ] + }, + { + "id": 669, + "data_source": "Mono3DRefer", + "scene_name": "002207", + "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\": [1133.98, 169.65, 1241.0, 273.25], \"box_3d\": [1.65, 1.67, 3.64, 11.31, 1.6, 12.92], \"ry\": -0.47}, {\"category\": \"Car\", \"angle\": 2.21, \"box_2d\": [982.67, 170.48, 1120.21, 226.64], \"box_3d\": [1.59, 1.55, 3.93, 13.52, 1.54, 22.15], \"ry\": 2.75}]\n```" + } + ] + }, + { + "id": 670, + "data_source": "Mono3DRefer", + "scene_name": "002208", + "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\": -2.94, \"box_2d\": [415.51, 178.0, 492.83, 207.86], \"box_3d\": [1.49, 1.64, 3.7, -8.16, 1.78, 37.83], \"ry\": 3.13}]\n```" + } + ] + }, + { + "id": 671, + "data_source": "Mono3DRefer", + "scene_name": "002215", + "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\": -1.29, \"box_2d\": [1132.73, 174.81, 1241.0, 271.24], \"box_3d\": [1.65, 1.67, 3.64, 11.86, 1.69, 14.0], \"ry\": -0.59}, {\"category\": \"Car\", \"angle\": 2.22, \"box_2d\": [814.03, 176.34, 952.05, 239.25], \"box_3d\": [1.59, 1.55, 3.93, 7.66, 1.71, 20.24], \"ry\": 2.58}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [1026.82, 180.55, 1135.07, 225.39], \"box_3d\": [1.47, 1.57, 4.24, 16.99, 1.77, 26.03], \"ry\": 2.6}]\n```" + } + ] + }, + { + "id": 672, + "data_source": "Mono3DRefer", + "scene_name": "002223", + "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\": [655.2, 172.36, 725.15, 237.79], \"box_3d\": [1.56, 1.65, 3.69, 2.08, 1.57, 19.14], \"ry\": -1.46}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [1060.02, 174.41, 1241.0, 374.0], \"box_3d\": [1.39, 1.61, 3.65, 4.68, 1.4, 5.1], \"ry\": -0.72}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [467.49, 170.1, 547.23, 226.73], \"box_3d\": [1.76, 1.58, 3.68, -3.41, 1.7, 24.35], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": 2.26, \"box_2d\": [81.98, 185.55, 293.87, 271.89], \"box_3d\": [1.56, 1.62, 4.19, -8.88, 1.86, 15.58], \"ry\": 1.74}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [399.8, 182.95, 495.72, 223.42], \"box_3d\": [1.42, 1.67, 4.53, -6.26, 1.84, 28.25], \"ry\": 1.86}, {\"category\": \"Car\", \"angle\": -0.83, \"box_2d\": [741.61, 167.68, 805.61, 194.46], \"box_3d\": [1.54, 1.63, 3.74, 9.79, 1.25, 43.2], \"ry\": -0.61}]\n```" + } + ] + }, + { + "id": 673, + "data_source": "Mono3DRefer", + "scene_name": "002227", + "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\": -2.65, \"box_2d\": [89.88, 188.9, 312.13, 267.65], \"box_3d\": [1.49, 1.64, 3.7, -8.45, 1.86, 15.05], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -2.72, \"box_2d\": [176.26, 182.24, 369.57, 249.19], \"box_3d\": [1.52, 1.55, 4.02, -8.22, 1.78, 17.71], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -2.85, \"box_2d\": [347.79, 173.0, 465.25, 222.27], \"box_3d\": [1.9, 1.78, 4.25, -8.24, 1.94, 29.33], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.15, \"box_2d\": [462.91, 177.96, 522.62, 201.9], \"box_3d\": [1.52, 1.64, 3.7, -7.78, 1.89, 47.93], \"ry\": -0.01}]\n```" + } + ] + }, + { + "id": 674, + "data_source": "Mono3DRefer", + "scene_name": "002234", + "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\": [80.93, 196.93, 423.54, 374.0], \"box_3d\": [1.44, 1.64, 3.78, -3.47, 1.75, 7.76], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [318.62, 173.38, 503.45, 302.09], \"box_3d\": [1.77, 1.71, 4.28, -3.12, 1.81, 12.13], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [714.72, 188.47, 804.21, 246.62], \"box_3d\": [1.45, 1.71, 3.93, 4.13, 1.93, 20.72], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [476.23, 181.54, 557.48, 246.86], \"box_3d\": [1.73, 1.65, 3.96, -2.68, 2.0, 21.3], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [692.25, 177.53, 763.74, 230.3], \"box_3d\": [1.78, 1.89, 4.37, 4.23, 1.97, 26.75], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [514.31, 182.33, 567.48, 232.38], \"box_3d\": [1.68, 1.51, 3.29, -2.48, 2.03, 26.15], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 675, + "data_source": "Mono3DRefer", + "scene_name": "002237", + "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\": [0.0, 164.01, 419.95, 374.0], \"box_3d\": [1.83, 1.69, 4.28, -3.01, 1.81, 6.16], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [498.71, 187.41, 588.36, 244.75], \"box_3d\": [1.51, 1.63, 4.03, -1.93, 1.98, 21.73], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [561.64, 185.15, 627.18, 229.72], \"box_3d\": [1.57, 1.44, 3.6, -0.57, 2.07, 27.94], \"ry\": 1.88}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [618.3, 185.09, 671.17, 219.41], \"box_3d\": [1.47, 1.51, 3.5, 1.63, 2.06, 33.42], \"ry\": 1.9}, {\"category\": \"Car\", \"angle\": -1.27, \"box_2d\": [798.44, 167.78, 838.14, 190.57], \"box_3d\": [1.77, 1.75, 4.67, 16.9, 1.39, 58.45], \"ry\": -0.99}]\n```" + } + ] + }, + { + "id": 676, + "data_source": "Mono3DRefer", + "scene_name": "002266", + "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\": [589.66, 176.96, 616.81, 203.8], \"box_3d\": [1.65, 1.67, 3.64, -0.48, 1.93, 46.64], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.34, \"box_2d\": [354.99, 178.26, 511.4, 296.39], \"box_3d\": [1.61, 1.51, 4.5, -2.79, 1.72, 12.2], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.11, \"box_2d\": [67.12, 194.83, 215.51, 264.32], \"box_3d\": [1.61, 1.72, 3.65, -12.53, 2.25, 19.52], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 677, + "data_source": "Mono3DRefer", + "scene_name": "002269", + "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\": [506.99, 182.68, 550.57, 217.49], \"box_3d\": [1.45, 1.53, 3.98, -3.66, 1.91, 32.73], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [189.17, 184.26, 432.95, 342.19], \"box_3d\": [1.65, 1.56, 3.98, -3.72, 1.82, 9.67], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 678, + "data_source": "Mono3DRefer", + "scene_name": "002273", + "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\": 0.35, \"box_2d\": [334.67, 184.58, 458.58, 220.43], \"box_3d\": [1.36, 1.68, 4.49, -8.61, 1.86, 29.17], \"ry\": 0.07}]\n```" + } + ] + }, + { + "id": 679, + "data_source": "Mono3DRefer", + "scene_name": "002276", + "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\": -2.87, \"box_2d\": [134.1, 176.71, 349.75, 254.23], \"box_3d\": [1.77, 1.73, 4.53, -9.13, 1.9, 18.17], \"ry\": 2.96}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [445.88, 184.47, 505.26, 235.51], \"box_3d\": [1.57, 1.55, 3.32, -4.51, 1.98, 24.36], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [471.74, 182.68, 524.25, 222.12], \"box_3d\": [1.56, 1.68, 3.91, -4.77, 1.99, 30.98], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 680, + "data_source": "Mono3DRefer", + "scene_name": "002277", + "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\": [183.89, 187.29, 458.65, 369.0], \"box_3d\": [1.46, 1.63, 4.47, -2.95, 1.66, 8.33], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [442.44, 168.28, 544.04, 239.29], \"box_3d\": [1.7, 1.82, 4.45, -3.06, 1.62, 19.62], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.23, \"box_2d\": [645.37, 168.34, 691.54, 200.22], \"box_3d\": [1.57, 1.56, 2.62, 3.0, 1.37, 37.09], \"ry\": -1.15}]\n```" + } + ] + }, + { + "id": 681, + "data_source": "Mono3DRefer", + "scene_name": "002278", + "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\": [636.28, 179.53, 661.36, 197.37], \"box_3d\": [1.48, 1.36, 3.51, 3.31, 2.07, 62.2], \"ry\": -1.75}]\n```" + } + ] + }, + { + "id": 682, + "data_source": "Mono3DRefer", + "scene_name": "002281", + "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\": [195.98, 172.77, 285.37, 217.8], \"box_3d\": [1.66, 1.54, 4.34, -14.75, 1.69, 29.01], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [585.92, 179.82, 642.42, 225.42], \"box_3d\": [1.36, 1.69, 3.38, 0.03, 1.6, 23.59], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -2.1, \"box_2d\": [224.6, 182.74, 421.77, 283.35], \"box_3d\": [1.5, 1.58, 3.57, -5.11, 1.69, 12.56], \"ry\": -2.48}, {\"category\": \"Car\", \"angle\": -2.14, \"box_2d\": [316.55, 164.63, 483.12, 259.41], \"box_3d\": [1.8, 1.63, 3.79, -4.64, 1.67, 15.52], \"ry\": -2.43}, {\"category\": \"Car\", \"angle\": -2.2, \"box_2d\": [398.62, 181.37, 523.21, 231.52], \"box_3d\": [1.41, 1.62, 4.19, -4.76, 1.7, 22.49], \"ry\": -2.41}, {\"category\": \"Car\", \"angle\": -2.28, \"box_2d\": [416.75, 178.07, 526.9, 223.07], \"box_3d\": [1.49, 1.66, 3.97, -5.02, 1.7, 25.8], \"ry\": -2.47}, {\"category\": \"Car\", \"angle\": -2.23, \"box_2d\": [460.56, 178.91, 538.39, 210.73], \"box_3d\": [1.39, 1.62, 3.72, -5.22, 1.69, 33.58], \"ry\": -2.39}, {\"category\": \"Car\", \"angle\": -2.35, \"box_2d\": [485.43, 175.3, 553.38, 203.82], \"box_3d\": [1.49, 1.66, 3.55, -5.01, 1.65, 39.47], \"ry\": -2.48}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [655.97, 178.0, 687.76, 203.0], \"box_3d\": [1.4, 1.66, 4.08, 3.62, 1.72, 43.0], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [588.42, 174.96, 624.37, 206.78], \"box_3d\": [1.52, 1.67, 3.61, -0.26, 1.65, 36.6], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 2.13, \"box_2d\": [0.0, 186.75, 201.22, 287.94], \"box_3d\": [1.39, 1.64, 3.55, -8.58, 1.64, 11.97], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 2.15, \"box_2d\": [55.4, 179.27, 212.1, 233.37], \"box_3d\": [1.46, 1.72, 4.6, -14.35, 1.67, 22.04], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 683, + "data_source": "Mono3DRefer", + "scene_name": "002283", + "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\": [594.78, 175.36, 625.78, 205.99], \"box_3d\": [1.65, 1.67, 3.64, 0.02, 1.81, 41.07], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 684, + "data_source": "Mono3DRefer", + "scene_name": "002284", + "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\": [395.74, 184.06, 436.09, 206.9], \"box_3d\": [1.48, 1.71, 3.54, -13.33, 2.27, 49.63], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 685, + "data_source": "Mono3DRefer", + "scene_name": "002285", + "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\": [601.63, 179.27, 662.66, 228.87], \"box_3d\": [1.36, 1.69, 3.38, 0.58, 1.57, 21.8], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.61, \"box_2d\": [945.8, 175.5, 1057.13, 208.18], \"box_3d\": [1.45, 1.67, 4.32, 18.26, 1.6, 33.81], \"ry\": 3.1}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [408.55, 180.29, 450.33, 205.94], \"box_3d\": [1.59, 1.72, 3.86, -11.76, 2.08, 47.11], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [584.53, 176.23, 625.26, 213.42], \"box_3d\": [1.52, 1.67, 3.61, -0.28, 1.68, 31.57], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 686, + "data_source": "Mono3DRefer", + "scene_name": "002288", + "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\": 0.34, \"box_2d\": [257.66, 181.94, 402.01, 236.27], \"box_3d\": [1.52, 1.64, 3.7, -8.37, 1.82, 21.66], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -2.74, \"box_2d\": [321.48, 182.87, 436.08, 225.48], \"box_3d\": [1.5, 1.62, 3.69, -8.55, 1.89, 26.72], \"ry\": -3.05}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [877.75, 163.38, 910.72, 185.49], \"box_3d\": [1.51, 1.7, 4.45, 20.43, 0.88, 52.03], \"ry\": 1.83}]\n```" + } + ] + }, + { + "id": 687, + "data_source": "Mono3DRefer", + "scene_name": "002294", + "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\": [707.47, 185.64, 904.87, 352.89], \"box_3d\": [1.46, 1.53, 3.17, 1.92, 1.62, 8.04], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -2.64, \"box_2d\": [271.89, 188.95, 427.28, 260.75], \"box_3d\": [1.59, 1.45, 3.15, -6.18, 1.99, 17.12], \"ry\": -2.98}]\n```" + } + ] + }, + { + "id": 688, + "data_source": "Mono3DRefer", + "scene_name": "002304", + "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\": [589.17, 168.99, 620.81, 200.2], \"box_3d\": [1.65, 1.67, 3.64, -0.27, 1.47, 40.34], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 689, + "data_source": "Mono3DRefer", + "scene_name": "002321", + "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\": 0.52, \"box_2d\": [142.03, 193.13, 355.09, 253.13], \"box_3d\": [1.36, 1.68, 4.49, -8.93, 1.9, 17.93], \"ry\": 0.06}]\n```" + } + ] + }, + { + "id": 690, + "data_source": "Mono3DRefer", + "scene_name": "002337", + "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\": [13.05, 198.84, 175.58, 258.02], \"box_3d\": [1.46, 1.86, 4.01, -14.99, 2.28, 21.22], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 691, + "data_source": "Mono3DRefer", + "scene_name": "002339", + "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\": [479.6, 177.54, 520.17, 209.5], \"box_3d\": [1.5, 1.46, 3.7, -5.47, 1.75, 35.98], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [345.27, 183.95, 451.24, 253.09], \"box_3d\": [1.54, 1.54, 3.72, -5.27, 1.84, 18.26], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [687.9, 176.71, 785.05, 253.82], \"box_3d\": [1.57, 1.54, 3.22, 2.74, 1.67, 16.45], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [660.14, 169.3, 733.04, 233.81], \"box_3d\": [1.74, 1.6, 3.86, 2.45, 1.67, 21.54], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [649.47, 168.02, 706.13, 221.63], \"box_3d\": [1.83, 1.69, 4.44, 2.42, 1.69, 27.03], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [535.61, 169.81, 558.95, 193.69], \"box_3d\": [1.86, 1.57, 3.83, -5.08, 1.65, 58.6], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 692, + "data_source": "Mono3DRefer", + "scene_name": "002343", + "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\": [527.73, 171.1, 554.77, 195.17], \"box_3d\": [1.65, 1.56, 3.98, -4.92, 1.55, 51.84], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 693, + "data_source": "Mono3DRefer", + "scene_name": "002350", + "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\": [492.09, 184.73, 564.66, 241.72], \"box_3d\": [1.6, 1.68, 3.94, -2.51, 1.99, 22.67], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [574.93, 185.35, 601.67, 206.72], \"box_3d\": [1.42, 1.66, 4.11, -1.53, 2.34, 51.58], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -0.19, \"box_2d\": [1054.67, 123.02, 1241.0, 261.46], \"box_3d\": [1.66, 1.15, 3.39, 7.68, 1.07, 9.2], \"ry\": 0.49}, {\"category\": \"Car\", \"angle\": -1.28, \"box_2d\": [311.65, 183.53, 510.78, 320.59], \"box_3d\": [1.77, 1.75, 4.67, -2.99, 1.96, 11.81], \"ry\": -1.52}]\n```" + } + ] + }, + { + "id": 694, + "data_source": "Mono3DRefer", + "scene_name": "002373", + "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\": -1.54, \"box_2d\": [572.87, 181.15, 602.03, 207.64], \"box_3d\": [1.43, 1.55, 3.91, -1.28, 1.91, 41.41], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.29, \"box_2d\": [764.29, 186.73, 945.57, 301.74], \"box_3d\": [1.52, 1.61, 4.23, 3.76, 1.78, 11.98], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.31, \"box_2d\": [763.27, 184.92, 839.62, 233.48], \"box_3d\": [1.45, 1.51, 3.7, 6.21, 1.87, 23.92], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.96, \"box_2d\": [649.14, 178.45, 737.48, 209.83], \"box_3d\": [1.51, 1.65, 4.21, 4.16, 1.82, 36.66], \"ry\": 3.07}]\n```" + } + ] + }, + { + "id": 695, + "data_source": "Mono3DRefer", + "scene_name": "002374", + "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\": 1.54, \"box_2d\": [534.9, 186.36, 567.67, 220.11], \"box_3d\": [1.68, 1.63, 3.9, -3.24, 2.44, 38.99], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [504.53, 187.58, 530.61, 205.8], \"box_3d\": [1.47, 1.7, 4.39, -8.06, 2.77, 62.49], \"ry\": 1.32}]\n```" + } + ] + }, + { + "id": 696, + "data_source": "Mono3DRefer", + "scene_name": "002378", + "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\": -2.4, \"box_2d\": [949.76, 216.7, 1241.0, 374.0], \"box_3d\": [1.47, 1.59, 3.62, 2.81, 1.72, 2.45], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [163.93, 174.08, 442.86, 343.45], \"box_3d\": [1.56, 1.68, 3.69, -3.33, 1.6, 8.54], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.25, \"box_2d\": [746.81, 196.73, 1060.64, 374.0], \"box_3d\": [1.44, 1.64, 4.5, 2.75, 1.77, 8.05], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [429.73, 170.1, 516.15, 238.41], \"box_3d\": [1.46, 1.51, 3.24, -3.21, 1.42, 17.2], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.44, \"box_2d\": [678.54, 176.83, 750.15, 227.25], \"box_3d\": [1.38, 1.59, 4.19, 3.04, 1.52, 22.02], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [487.54, 173.02, 549.18, 217.68], \"box_3d\": [1.38, 1.69, 3.74, -3.06, 1.41, 24.41], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [651.79, 171.93, 682.57, 199.2], \"box_3d\": [1.51, 1.56, 3.81, 3.28, 1.48, 42.23], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 697, + "data_source": "Mono3DRefer", + "scene_name": "002380", + "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\": -0.66, \"box_2d\": [1089.78, 182.76, 1241.0, 374.0], \"box_3d\": [1.63, 1.53, 3.45, 6.43, 1.71, 6.31], \"ry\": 0.11}, {\"category\": \"Car\", \"angle\": 2.7, \"box_2d\": [813.71, 166.58, 1078.66, 264.51], \"box_3d\": [1.76, 1.71, 4.4, 6.43, 1.67, 14.19], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": 0.56, \"box_2d\": [0.0, 130.71, 311.81, 299.42], \"box_3d\": [2.22, 1.68, 4.08, -6.77, 1.69, 10.48], \"ry\": -0.0}, {\"category\": \"Car\", \"angle\": -2.67, \"box_2d\": [111.08, 183.42, 335.34, 268.53], \"box_3d\": [1.4, 1.46, 3.23, -6.87, 1.61, 12.94], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -2.83, \"box_2d\": [283.89, 182.46, 458.16, 239.12], \"box_3d\": [1.46, 1.61, 4.31, -6.59, 1.75, 20.06], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -3.02, \"box_2d\": [362.72, 170.56, 498.93, 225.98], \"box_3d\": [1.8, 1.77, 4.41, -6.17, 1.75, 25.11], \"ry\": 3.02}, {\"category\": \"Car\", \"angle\": -2.94, \"box_2d\": [447.88, 177.06, 512.43, 206.44], \"box_3d\": [1.58, 1.54, 3.3, -7.26, 1.83, 40.34], \"ry\": -3.12}]\n```" + } + ] + }, + { + "id": 698, + "data_source": "Mono3DRefer", + "scene_name": "002400", + "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\": [429.22, 179.66, 503.36, 209.07], \"box_3d\": [1.52, 1.64, 3.7, -7.79, 1.91, 39.17], \"ry\": -0.01}, {\"category\": \"Car\", \"angle\": -2.43, \"box_2d\": [0.0, 196.69, 160.51, 334.04], \"box_3d\": [1.52, 1.55, 4.02, -8.15, 1.86, 8.99], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -2.74, \"box_2d\": [233.99, 173.71, 408.13, 244.73], \"box_3d\": [1.9, 1.78, 4.25, -8.19, 1.95, 20.6], \"ry\": -3.12}]\n```" + } + ] + }, + { + "id": 699, + "data_source": "Mono3DRefer", + "scene_name": "002416", + "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\": 2.74, \"box_2d\": [478.94, 171.24, 665.38, 253.54], \"box_3d\": [1.85, 1.68, 4.34, -0.96, 1.83, 18.07], \"ry\": 2.68}, {\"category\": \"Car\", \"angle\": -2.78, \"box_2d\": [0.0, 207.32, 56.07, 337.21], \"box_3d\": [1.51, 1.53, 4.46, -9.5, 2.0, 8.47], \"ry\": 2.68}, {\"category\": \"Car\", \"angle\": -2.89, \"box_2d\": [0.0, 197.63, 127.45, 271.59], \"box_3d\": [1.43, 1.56, 3.85, -12.73, 2.01, 15.32], \"ry\": 2.71}, {\"category\": \"Car\", \"angle\": -2.93, \"box_2d\": [9.0, 194.87, 164.2, 248.66], \"box_3d\": [1.42, 1.62, 3.5, -15.62, 2.13, 21.68], \"ry\": 2.74}, {\"category\": \"Car\", \"angle\": -3.02, \"box_2d\": [116.2, 190.21, 213.18, 223.95], \"box_3d\": [1.41, 1.54, 3.6, -20.28, 2.23, 32.96], \"ry\": 2.71}, {\"category\": \"Car\", \"angle\": -1.21, \"box_2d\": [1057.63, 198.69, 1241.0, 374.0], \"box_3d\": [1.39, 1.59, 3.17, 4.73, 1.59, 4.81], \"ry\": -0.46}, {\"category\": \"Car\", \"angle\": -0.88, \"box_2d\": [812.22, 188.06, 1241.0, 374.0], \"box_3d\": [1.46, 1.55, 4.28, 4.23, 1.64, 7.14], \"ry\": -0.36}, {\"category\": \"Car\", \"angle\": -0.51, \"box_2d\": [563.99, 185.76, 798.6, 277.65], \"box_3d\": [1.49, 1.66, 4.16, 1.33, 1.77, 13.76], \"ry\": -0.42}]\n```" + } + ] + }, + { + "id": 700, + "data_source": "Mono3DRefer", + "scene_name": "002419", + "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\": -2.22, \"box_2d\": [606.09, 205.57, 1050.45, 374.0], \"box_3d\": [1.47, 1.58, 3.55, 1.38, 1.81, 6.02], \"ry\": -2.0}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [483.73, 205.82, 709.94, 343.72], \"box_3d\": [1.37, 1.7, 4.38, -0.5, 1.93, 10.39], \"ry\": -1.98}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [419.61, 207.08, 551.12, 299.25], \"box_3d\": [1.4, 1.56, 3.91, -2.64, 2.16, 14.29], \"ry\": -2.02}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [369.6, 201.81, 459.54, 274.11], \"box_3d\": [1.6, 1.65, 3.77, -5.33, 2.43, 19.2], \"ry\": -2.02}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [126.44, 207.56, 205.7, 274.91], \"box_3d\": [1.86, 1.63, 4.2, -14.66, 3.1, 23.96], \"ry\": 1.17}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [28.31, 221.86, 147.85, 321.42], \"box_3d\": [1.45, 1.46, 3.41, -9.92, 2.49, 13.85], \"ry\": 1.06}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [324.66, 210.13, 374.42, 250.03], \"box_3d\": [1.37, 1.61, 4.26, -11.06, 3.03, 30.38], \"ry\": -2.0}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [195.81, 213.05, 227.98, 242.88], \"box_3d\": [1.51, 1.55, 3.92, -23.82, 4.01, 43.19], \"ry\": 1.1}]\n```" + } + ] + }, + { + "id": 701, + "data_source": "Mono3DRefer", + "scene_name": "002423", + "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\": -2.88, \"box_2d\": [249.97, 180.59, 425.05, 238.96], \"box_3d\": [1.47, 1.53, 4.21, -7.38, 1.71, 19.72], \"ry\": 3.05}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [649.24, 170.26, 756.05, 251.45], \"box_3d\": [1.64, 1.62, 4.2, 1.98, 1.62, 16.9], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [376.39, 187.28, 500.8, 276.45], \"box_3d\": [1.35, 1.47, 3.43, -3.0, 1.64, 13.07], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 702, + "data_source": "Mono3DRefer", + "scene_name": "002428", + "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\": [443.45, 186.31, 534.42, 250.49], \"box_3d\": [1.46, 1.75, 4.23, -3.12, 1.85, 19.15], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 703, + "data_source": "Mono3DRefer", + "scene_name": "002431", + "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\": [510.05, 181.22, 561.21, 226.86], \"box_3d\": [1.41, 1.59, 4.47, -2.57, 1.71, 24.93], \"ry\": 1.48}]\n```" + } + ] + }, + { + "id": 704, + "data_source": "Mono3DRefer", + "scene_name": "002432", + "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\": 1.98, \"box_2d\": [278.1, 186.3, 350.03, 222.26], \"box_3d\": [1.48, 1.71, 3.54, -13.23, 2.11, 32.38], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 705, + "data_source": "Mono3DRefer", + "scene_name": "002443", + "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\": [752.11, 190.12, 1046.88, 374.0], \"box_3d\": [1.41, 1.64, 3.77, 2.64, 1.63, 7.66], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [483.02, 183.4, 534.41, 217.69], \"box_3d\": [1.43, 1.76, 3.97, -4.58, 1.93, 32.87], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [204.95, 196.82, 403.8, 309.55], \"box_3d\": [1.49, 1.61, 3.94, -4.93, 1.94, 12.15], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [339.74, 189.52, 462.96, 263.06], \"box_3d\": [1.48, 1.66, 3.9, -4.83, 1.91, 17.11], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 2.48, \"box_2d\": [0.0, 241.13, 96.61, 374.0], \"box_3d\": [1.31, 1.58, 4.23, -5.38, 1.89, 4.18], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 706, + "data_source": "Mono3DRefer", + "scene_name": "002445", + "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\": -0.68, \"box_2d\": [917.88, 181.82, 1229.36, 281.3], \"box_3d\": [1.35, 1.49, 4.0, 7.0, 1.51, 11.11], \"ry\": -0.13}, {\"category\": \"Car\", \"angle\": -0.64, \"box_2d\": [882.41, 180.78, 1170.94, 261.5], \"box_3d\": [1.32, 1.62, 4.57, 7.57, 1.49, 13.34], \"ry\": -0.14}]\n```" + } + ] + }, + { + "id": 707, + "data_source": "Mono3DRefer", + "scene_name": "002447", + "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\": [592.3, 183.29, 613.76, 202.68], \"box_3d\": [1.41, 1.59, 4.47, -0.57, 2.24, 56.14], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 708, + "data_source": "Mono3DRefer", + "scene_name": "002451", + "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\": [794.92, 171.12, 870.61, 235.39], \"box_3d\": [1.56, 1.65, 3.69, 5.87, 1.54, 19.47], \"ry\": -1.35}, {\"category\": \"Car\", \"angle\": 2.15, \"box_2d\": [301.59, 184.71, 487.48, 262.98], \"box_3d\": [1.42, 1.67, 4.53, -4.54, 1.71, 15.88], \"ry\": 1.87}, {\"category\": \"Car\", \"angle\": -0.42, \"box_2d\": [1153.25, 160.44, 1241.0, 198.87], \"box_3d\": [1.54, 1.63, 3.74, 25.09, 1.05, 29.95], \"ry\": 0.27}]\n```" + } + ] + }, + { + "id": 709, + "data_source": "Mono3DRefer", + "scene_name": "002460", + "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\": [766.36, 192.81, 894.4, 279.8], \"box_3d\": [1.52, 1.54, 4.5, 4.53, 2.0, 15.61], \"ry\": -1.53}]\n```" + } + ] + }, + { + "id": 710, + "data_source": "Mono3DRefer", + "scene_name": "002489", + "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\": [692.67, 189.13, 834.5, 288.41], \"box_3d\": [1.41, 1.64, 3.77, 2.46, 1.73, 12.62], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [486.53, 188.88, 532.75, 219.14], \"box_3d\": [1.43, 1.76, 3.97, -5.21, 2.3, 37.71], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [322.62, 196.84, 445.95, 273.66], \"box_3d\": [1.49, 1.61, 3.94, -5.17, 2.1, 16.93], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [391.93, 193.03, 481.52, 249.34], \"box_3d\": [1.48, 1.66, 3.9, -5.21, 2.14, 22.0], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 2.13, \"box_2d\": [0.0, 215.5, 304.82, 374.0], \"box_3d\": [1.31, 1.58, 4.23, -5.52, 1.94, 8.87], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 711, + "data_source": "Mono3DRefer", + "scene_name": "002491", + "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\": [456.92, 185.19, 534.95, 239.96], \"box_3d\": [1.52, 1.73, 4.28, -3.53, 1.93, 22.79], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [538.36, 181.11, 569.89, 204.79], \"box_3d\": [1.44, 1.7, 3.65, -3.58, 1.99, 46.44], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 712, + "data_source": "Mono3DRefer", + "scene_name": "002494", + "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\": -2.52, \"box_2d\": [0.0, 167.96, 257.76, 295.9], \"box_3d\": [1.9, 1.78, 4.25, -8.36, 1.86, 11.77], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": 0.24, \"box_2d\": [366.94, 176.63, 465.05, 214.76], \"box_3d\": [1.52, 1.64, 3.7, -8.15, 1.71, 30.41], \"ry\": -0.02}]\n```" + } + ] + }, + { + "id": 713, + "data_source": "Mono3DRefer", + "scene_name": "002501", + "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\": [600.33, 177.68, 659.13, 225.47], \"box_3d\": [1.36, 1.69, 3.38, 0.53, 1.53, 22.56], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.62, \"box_2d\": [925.2, 172.39, 1029.1, 203.19], \"box_3d\": [1.45, 1.67, 4.32, 18.15, 1.45, 35.82], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [414.61, 176.48, 455.5, 201.06], \"box_3d\": [1.59, 1.72, 3.86, -11.87, 1.85, 49.07], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [583.98, 172.97, 623.94, 209.44], \"box_3d\": [1.52, 1.67, 3.61, -0.31, 1.55, 32.15], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 714, + "data_source": "Mono3DRefer", + "scene_name": "002511", + "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\": [150.54, 200.33, 405.94, 359.46], \"box_3d\": [1.39, 1.48, 3.76, -3.73, 1.78, 8.74], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [506.35, 181.17, 556.37, 217.1], \"box_3d\": [1.46, 1.75, 4.23, -3.44, 1.84, 31.93], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 715, + "data_source": "Mono3DRefer", + "scene_name": "002512", + "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\": [483.47, 176.78, 559.18, 214.51], \"box_3d\": [1.37, 1.78, 4.65, -3.46, 1.55, 28.78], \"ry\": 1.73}]\n```" + } + ] + }, + { + "id": 716, + "data_source": "Mono3DRefer", + "scene_name": "002514", + "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\": -2.68, \"box_2d\": [33.19, 200.59, 308.52, 300.67], \"box_3d\": [1.42, 1.62, 3.5, -7.07, 1.92, 11.83], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": -2.89, \"box_2d\": [330.36, 186.95, 453.38, 232.82], \"box_3d\": [1.41, 1.54, 3.6, -7.16, 1.9, 23.79], \"ry\": 3.1}]\n```" + } + ] + }, + { + "id": 717, + "data_source": "Mono3DRefer", + "scene_name": "002521", + "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\": 2.09, \"box_2d\": [147.55, 187.15, 240.63, 226.59], \"box_3d\": [1.67, 1.82, 4.42, -19.46, 2.38, 33.94], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [321.35, 181.72, 373.23, 209.66], \"box_3d\": [1.63, 1.87, 3.47, -16.19, 2.19, 44.56], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 718, + "data_source": "Mono3DRefer", + "scene_name": "002542", + "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\": [692.41, 170.14, 722.84, 194.95], \"box_3d\": [1.54, 1.63, 3.67, 6.39, 1.4, 47.17], \"ry\": -1.34}, {\"category\": \"Car\", \"angle\": 2.22, \"box_2d\": [0.0, 152.41, 285.24, 327.12], \"box_3d\": [1.93, 1.59, 4.01, -6.42, 1.74, 10.05], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [734.83, 172.65, 870.66, 267.42], \"box_3d\": [1.58, 1.67, 3.84, 3.54, 1.61, 14.09], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [603.83, 170.26, 649.62, 201.14], \"box_3d\": [1.53, 1.67, 3.78, 0.9, 1.42, 37.84], \"ry\": 1.79}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [730.85, 151.85, 810.14, 240.13], \"box_3d\": [2.05, 1.5, 3.83, 4.04, 1.59, 18.8], \"ry\": -1.48}]\n```" + } + ] + }, + { + "id": 719, + "data_source": "Mono3DRefer", + "scene_name": "002560", + "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, 206.47, 183.94, 366.57], \"box_3d\": [1.41, 1.54, 3.6, -6.67, 1.8, 7.38], \"ry\": 3.12}]\n```" + } + ] + }, + { + "id": 720, + "data_source": "Mono3DRefer", + "scene_name": "002565", + "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\": -1.07, \"box_2d\": [0.0, 189.33, 383.1, 369.0], \"box_3d\": [1.5, 1.78, 3.69, -3.26, 1.61, 5.53], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [454.42, 168.74, 486.36, 192.16], \"box_3d\": [1.45, 1.75, 4.23, -8.78, 0.71, 46.45], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 721, + "data_source": "Mono3DRefer", + "scene_name": "002578", + "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\": [783.32, 169.41, 859.64, 234.34], \"box_3d\": [1.56, 1.65, 3.69, 5.51, 1.5, 19.29], \"ry\": -1.36}, {\"category\": \"Car\", \"angle\": 2.13, \"box_2d\": [330.03, 183.31, 497.68, 254.07], \"box_3d\": [1.42, 1.67, 4.53, -4.51, 1.69, 17.22], \"ry\": 1.88}, {\"category\": \"Car\", \"angle\": -0.42, \"box_2d\": [1089.41, 159.13, 1205.81, 196.0], \"box_3d\": [1.54, 1.63, 3.74, 23.52, 0.99, 31.73], \"ry\": 0.21}]\n```" + } + ] + }, + { + "id": 722, + "data_source": "Mono3DRefer", + "scene_name": "002582", + "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\": 2.06, \"box_2d\": [0.0, 166.55, 366.42, 374.0], \"box_3d\": [1.65, 1.75, 3.39, -2.54, 1.66, 3.51], \"ry\": 1.47}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [340.46, 180.95, 517.05, 309.12], \"box_3d\": [1.57, 1.54, 4.01, -2.55, 1.7, 10.93], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 723, + "data_source": "Mono3DRefer", + "scene_name": "002589", + "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\": 0.62, \"box_2d\": [9.54, 198.4, 289.73, 275.98], \"box_3d\": [1.36, 1.68, 4.49, -8.93, 1.9, 14.12], \"ry\": 0.06}]\n```" + } + ] + }, + { + "id": 724, + "data_source": "Mono3DRefer", + "scene_name": "002590", + "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\": [663.02, 165.64, 682.55, 183.83], \"box_3d\": [1.47, 1.55, 3.67, 5.31, 0.91, 60.93], \"ry\": -1.46}]\n```" + } + ] + }, + { + "id": 725, + "data_source": "Mono3DRefer", + "scene_name": "002591", + "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\": [396.65, 185.33, 505.3, 283.9], \"box_3d\": [1.65, 1.75, 3.39, -3.02, 1.91, 14.13], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [459.58, 184.8, 532.48, 244.06], \"box_3d\": [1.57, 1.54, 4.01, -3.35, 1.95, 21.6], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 726, + "data_source": "Mono3DRefer", + "scene_name": "002593", + "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\": -2.93, \"box_2d\": [398.21, 177.85, 481.78, 209.94], \"box_3d\": [1.49, 1.64, 3.7, -8.29, 1.76, 35.27], \"ry\": 3.13}]\n```" + } + ] + }, + { + "id": 727, + "data_source": "Mono3DRefer", + "scene_name": "002603", + "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\": [343.13, 180.59, 390.05, 206.41], \"box_3d\": [1.63, 1.87, 3.47, -16.14, 2.16, 47.93], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [187.54, 184.89, 268.8, 220.66], \"box_3d\": [1.67, 1.82, 4.42, -19.45, 2.31, 36.92], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 728, + "data_source": "Mono3DRefer", + "scene_name": "002624", + "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\": [486.97, 171.95, 548.27, 227.95], \"box_3d\": [1.97, 1.87, 4.53, -3.51, 1.97, 27.93], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [546.11, 176.05, 572.37, 200.8], \"box_3d\": [1.7, 1.53, 3.82, -3.65, 1.95, 52.04], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 729, + "data_source": "Mono3DRefer", + "scene_name": "002630", + "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\": [337.08, 185.68, 387.47, 210.16], \"box_3d\": [1.45, 1.74, 3.42, -15.67, 2.29, 45.73], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": 2.22, \"box_2d\": [0.0, 195.63, 135.09, 248.8], \"box_3d\": [1.38, 1.8, 3.41, -16.28, 2.1, 21.58], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 730, + "data_source": "Mono3DRefer", + "scene_name": "002631", + "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\": 2.02, \"box_2d\": [838.4, 181.67, 940.9, 229.84], \"box_3d\": [1.47, 1.57, 4.24, 9.56, 1.79, 24.59], \"ry\": 2.38}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [970.6, 182.83, 1045.52, 217.01], \"box_3d\": [1.4, 1.68, 4.45, 18.02, 1.88, 32.63], \"ry\": 2.38}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [1039.38, 182.2, 1096.98, 212.49], \"box_3d\": [1.45, 1.62, 3.77, 23.71, 1.96, 37.33], \"ry\": 2.38}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [1222.82, 183.36, 1241.0, 222.28], \"box_3d\": [1.5, 1.61, 4.07, 26.61, 1.95, 29.77], \"ry\": -0.76}, {\"category\": \"Car\", \"angle\": -1.39, \"box_2d\": [1077.91, 178.2, 1204.52, 261.88], \"box_3d\": [1.65, 1.67, 3.64, 11.99, 1.79, 16.25], \"ry\": -0.76}, {\"category\": \"Car\", \"angle\": 2.33, \"box_2d\": [565.21, 180.46, 735.59, 261.65], \"box_3d\": [1.59, 1.55, 3.93, 0.96, 1.79, 16.34], \"ry\": 2.39}]\n```" + } + ] + }, + { + "id": 731, + "data_source": "Mono3DRefer", + "scene_name": "002641", + "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\": [329.48, 171.29, 496.03, 296.55], \"box_3d\": [1.7, 1.63, 4.08, -3.08, 1.71, 11.93], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.0, \"box_2d\": [807.42, 208.98, 1241.0, 374.0], \"box_3d\": [1.37, 1.59, 3.22, 2.41, 1.67, 4.58], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [456.77, 184.11, 541.8, 241.73], \"box_3d\": [1.4, 1.67, 3.72, -2.98, 1.73, 19.86], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.49, \"box_2d\": [633.29, 176.01, 671.42, 207.14], \"box_3d\": [1.49, 1.61, 3.74, 2.08, 1.67, 36.71], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 732, + "data_source": "Mono3DRefer", + "scene_name": "002647", + "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\": -0.94, \"box_2d\": [407.26, 190.18, 601.82, 292.78], \"box_3d\": [1.39, 1.59, 3.17, -1.65, 1.71, 11.93], \"ry\": -1.07}, {\"category\": \"Car\", \"angle\": -0.78, \"box_2d\": [296.6, 190.6, 527.39, 288.78], \"box_3d\": [1.46, 1.55, 4.28, -3.52, 1.83, 13.5], \"ry\": -1.04}, {\"category\": \"Car\", \"angle\": -0.56, \"box_2d\": [73.33, 195.1, 291.12, 272.49], \"box_3d\": [1.49, 1.66, 4.16, -9.93, 2.07, 17.03], \"ry\": -1.08}, {\"category\": \"Car\", \"angle\": 2.67, \"box_2d\": [0.0, 185.04, 165.0, 265.27], \"box_3d\": [1.85, 1.68, 4.34, -14.41, 2.2, 18.93], \"ry\": 2.03}]\n```" + } + ] + }, + { + "id": 733, + "data_source": "Mono3DRefer", + "scene_name": "002654", + "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\": [113.15, 190.34, 363.12, 314.76], \"box_3d\": [1.51, 1.81, 4.07, -5.5, 1.83, 11.25], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 734, + "data_source": "Mono3DRefer", + "scene_name": "002655", + "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\": [515.84, 170.26, 559.03, 212.13], \"box_3d\": [1.97, 1.87, 4.53, -3.64, 1.88, 36.59], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [552.96, 175.65, 575.09, 196.77], \"box_3d\": [1.7, 1.53, 3.82, -3.85, 1.96, 60.66], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 735, + "data_source": "Mono3DRefer", + "scene_name": "002656", + "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, 187.79, 137.74, 273.61], \"box_3d\": [1.62, 1.86, 4.31, -12.77, 1.98, 15.87], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [249.62, 182.09, 316.03, 212.32], \"box_3d\": [1.67, 1.82, 4.42, -19.37, 2.24, 42.87], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [378.38, 178.63, 417.66, 201.15], \"box_3d\": [1.63, 1.87, 3.47, -16.03, 2.08, 54.66], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 736, + "data_source": "Mono3DRefer", + "scene_name": "002657", + "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\": [0.0, 170.69, 379.3, 374.0], \"box_3d\": [1.5, 1.62, 4.19, -3.62, 1.52, 6.75], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [644.4, 189.71, 671.65, 211.9], \"box_3d\": [1.41, 1.58, 4.36, 3.29, 2.62, 50.35], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 737, + "data_source": "Mono3DRefer", + "scene_name": "002662", + "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\": [132.11, 176.8, 240.88, 228.43], \"box_3d\": [1.66, 1.54, 4.34, -14.9, 1.82, 25.6], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [583.51, 181.73, 639.74, 227.68], \"box_3d\": [1.36, 1.69, 3.38, -0.03, 1.67, 23.5], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.0, \"box_2d\": [90.82, 186.16, 350.61, 332.3], \"box_3d\": [1.5, 1.58, 3.57, -5.1, 1.68, 9.21], \"ry\": -2.49}, {\"category\": \"Car\", \"angle\": -2.08, \"box_2d\": [238.08, 163.14, 446.21, 288.74], \"box_3d\": [1.8, 1.63, 3.79, -4.65, 1.69, 12.16], \"ry\": -2.44}, {\"category\": \"Car\", \"angle\": -2.16, \"box_2d\": [362.22, 185.95, 505.62, 246.35], \"box_3d\": [1.41, 1.62, 4.19, -4.79, 1.77, 19.11], \"ry\": -2.4}, {\"category\": \"Car\", \"angle\": -2.24, \"box_2d\": [385.87, 182.46, 510.69, 235.1], \"box_3d\": [1.49, 1.66, 3.97, -5.13, 1.81, 22.45], \"ry\": -2.47}, {\"category\": \"Car\", \"angle\": -2.22, \"box_2d\": [443.05, 183.75, 528.98, 219.53], \"box_3d\": [1.39, 1.62, 3.72, -5.27, 1.86, 30.23], \"ry\": -2.39}, {\"category\": \"Car\", \"angle\": -2.34, \"box_2d\": [474.13, 182.35, 548.14, 213.9], \"box_3d\": [1.49, 1.66, 3.55, -5.01, 1.99, 36.15], \"ry\": -2.48}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [693.99, 185.16, 776.28, 240.64], \"box_3d\": [1.47, 1.73, 4.22, 3.64, 1.87, 21.89], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [658.13, 184.45, 693.82, 212.11], \"box_3d\": [1.4, 1.66, 4.08, 3.55, 2.06, 39.7], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [590.26, 179.45, 626.9, 211.37], \"box_3d\": [1.52, 1.67, 3.61, -0.15, 1.86, 36.51], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 2.23, \"box_2d\": [0.0, 183.8, 144.76, 249.72], \"box_3d\": [1.46, 1.72, 4.6, -14.39, 1.77, 18.59], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 738, + "data_source": "Mono3DRefer", + "scene_name": "002684", + "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\": [393.44, 192.22, 515.28, 278.61], \"box_3d\": [1.42, 1.66, 4.11, -3.03, 1.86, 14.65], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [559.04, 166.94, 583.27, 191.71], \"box_3d\": [1.97, 1.87, 4.53, -3.22, 1.53, 60.27], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 739, + "data_source": "Mono3DRefer", + "scene_name": "002686", + "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\": [876.76, 111.88, 917.21, 140.79], \"box_3d\": [1.5, 1.62, 4.19, 18.09, -2.14, 45.44], \"ry\": 2.13}]\n```" + } + ] + }, + { + "id": 740, + "data_source": "Mono3DRefer", + "scene_name": "002694", + "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\": 3.12, \"box_2d\": [380.17, 170.39, 468.41, 204.67], \"box_3d\": [1.49, 1.46, 3.84, -8.55, 1.4, 33.16], \"ry\": 2.87}, {\"category\": \"Car\", \"angle\": 1.21, \"box_2d\": [682.64, 159.13, 728.43, 192.93], \"box_3d\": [2.21, 1.76, 4.11, 6.48, 1.34, 49.52], \"ry\": 1.34}, {\"category\": \"Car\", \"angle\": -2.01, \"box_2d\": [711.53, 165.59, 757.22, 191.46], \"box_3d\": [1.75, 1.57, 4.07, 8.73, 1.28, 51.09], \"ry\": -1.84}, {\"category\": \"Car\", \"angle\": -2.05, \"box_2d\": [750.47, 166.08, 806.36, 189.05], \"box_3d\": [1.54, 1.71, 5.03, 11.87, 1.12, 51.28], \"ry\": -1.82}, {\"category\": \"Car\", \"angle\": -2.19, \"box_2d\": [922.97, 163.51, 970.47, 185.27], \"box_3d\": [1.53, 1.41, 3.4, 24.62, 0.89, 52.89], \"ry\": -1.76}, {\"category\": \"Car\", \"angle\": -2.35, \"box_2d\": [962.93, 160.64, 1016.78, 184.23], \"box_3d\": [1.69, 1.61, 3.36, 28.2, 0.83, 53.68], \"ry\": -1.87}]\n```" + } + ] + }, + { + "id": 741, + "data_source": "Mono3DRefer", + "scene_name": "002696", + "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\": 1.98, \"box_2d\": [82.36, 190.62, 401.91, 374.0], \"box_3d\": [1.63, 1.65, 3.91, -3.76, 1.87, 8.13], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [616.7, 180.68, 669.4, 228.9], \"box_3d\": [1.46, 1.53, 3.17, 0.99, 1.73, 23.69], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 742, + "data_source": "Mono3DRefer", + "scene_name": "002699", + "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\": 1.97, \"box_2d\": [77.15, 103.72, 483.73, 373.0], \"box_3d\": [2.11, 2.04, 4.62, -2.81, 1.54, 7.63], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 743, + "data_source": "Mono3DRefer", + "scene_name": "002709", + "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\": 2.16, \"box_2d\": [0.0, 59.71, 413.85, 373.0], \"box_3d\": [2.11, 2.04, 4.62, -2.93, 1.72, 4.51], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 744, + "data_source": "Mono3DRefer", + "scene_name": "002712", + "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\": [735.4, 178.83, 917.4, 292.0], \"box_3d\": [1.4, 1.61, 3.77, 3.0, 1.51, 10.95], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [698.0, 177.73, 780.48, 244.14], \"box_3d\": [1.41, 1.57, 3.16, 2.92, 1.54, 17.06], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [360.46, 192.18, 448.9, 250.86], \"box_3d\": [1.53, 1.56, 3.58, -6.05, 2.14, 21.48], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [490.26, 188.07, 523.21, 213.03], \"box_3d\": [1.42, 1.54, 3.5, -6.32, 2.38, 44.28], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [638.21, 179.02, 668.34, 203.09], \"box_3d\": [1.51, 1.75, 3.78, 2.8, 1.93, 47.77], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [503.61, 188.22, 533.73, 209.63], \"box_3d\": [1.36, 1.51, 4.02, -6.29, 2.45, 49.86], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -2.14, \"box_2d\": [827.6, 170.16, 1241.0, 374.0], \"box_3d\": [1.51, 1.85, 4.93, 2.89, 1.51, 4.16], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 745, + "data_source": "Mono3DRefer", + "scene_name": "002713", + "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\": [592.74, 173.21, 624.03, 204.13], \"box_3d\": [1.65, 1.67, 3.64, -0.08, 1.7, 40.7], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 746, + "data_source": "Mono3DRefer", + "scene_name": "002715", + "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\": [316.83, 181.03, 378.52, 211.91], \"box_3d\": [1.58, 1.82, 3.87, -14.25, 2.04, 39.33], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 2.23, \"box_2d\": [0.0, 189.3, 113.74, 266.56], \"box_3d\": [1.6, 1.78, 3.86, -13.92, 2.02, 16.98], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 747, + "data_source": "Mono3DRefer", + "scene_name": "002727", + "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\": [315.46, 187.8, 491.49, 316.26], \"box_3d\": [1.46, 1.6, 3.33, -2.75, 1.7, 10.16], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [714.11, 175.14, 902.41, 313.64], \"box_3d\": [1.64, 1.7, 3.54, 2.59, 1.7, 10.41], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [686.38, 182.92, 791.18, 258.62], \"box_3d\": [1.37, 1.51, 3.39, 2.51, 1.59, 15.0], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [526.56, 175.33, 568.41, 210.22], \"box_3d\": [1.55, 1.68, 4.42, -2.97, 1.69, 34.63], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 748, + "data_source": "Mono3DRefer", + "scene_name": "002730", + "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\": -2.46, \"box_2d\": [0.0, 197.92, 216.48, 366.49], \"box_3d\": [1.41, 1.63, 3.75, -6.23, 1.7, 7.06], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [663.13, 180.63, 708.76, 214.58], \"box_3d\": [1.41, 1.65, 4.28, 3.33, 1.78, 32.61], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 0.2, \"box_2d\": [397.25, 178.46, 526.28, 219.63], \"box_3d\": [1.44, 1.8, 4.44, -5.49, 1.68, 26.95], \"ry\": 0.0}, {\"category\": \"Car\", \"angle\": 0.31, \"box_2d\": [332.99, 180.82, 493.82, 232.21], \"box_3d\": [1.5, 1.8, 4.5, 0.0, 1.77, 22.53], \"ry\": 0.05}, {\"category\": \"Car\", \"angle\": 0.37, \"box_2d\": [310.14, 179.92, 487.51, 240.31], \"box_3d\": [1.53, 1.8, 4.22, 0.43, 1.74, 19.48], \"ry\": 0.09}, {\"category\": \"Car\", \"angle\": 0.41, \"box_2d\": [282.07, 182.4, 468.85, 249.72], \"box_3d\": [1.5, 1.46, 3.95, -5.54, 1.75, 17.1], \"ry\": 0.1}, {\"category\": \"Car\", \"angle\": 0.38, \"box_2d\": [216.05, 180.46, 426.17, 262.42], \"box_3d\": [1.53, 1.64, 3.6, -5.8, 1.71, 14.66], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -2.54, \"box_2d\": [0.0, 184.39, 270.58, 313.75], \"box_3d\": [1.53, 1.51, 3.38, -6.55, 1.7, 9.45], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 749, + "data_source": "Mono3DRefer", + "scene_name": "002732", + "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\": -1.08, \"box_2d\": [79.32, 199.43, 182.17, 240.6], \"box_3d\": [1.42, 1.7, 4.14, -19.31, 2.56, 29.23], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -0.98, \"box_2d\": [2.68, 198.18, 119.27, 242.24], \"box_3d\": [1.52, 1.71, 4.11, -21.94, 2.6, 29.0], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 750, + "data_source": "Mono3DRefer", + "scene_name": "002741", + "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\": [112.12, 187.04, 463.44, 374.0], \"box_3d\": [1.77, 1.75, 4.67, -3.11, 1.96, 8.11], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [456.44, 187.69, 546.71, 257.75], \"box_3d\": [1.6, 1.68, 3.94, -2.77, 2.02, 18.98], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [564.04, 186.37, 592.97, 209.52], \"box_3d\": [1.42, 1.66, 4.11, -2.08, 2.34, 47.93], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 751, + "data_source": "Mono3DRefer", + "scene_name": "002751", + "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\": -1.53, \"box_2d\": [565.25, 193.54, 600.37, 226.43], \"box_3d\": [1.43, 1.55, 3.91, -1.31, 2.48, 35.22], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.31, \"box_2d\": [993.86, 175.85, 1241.0, 374.0], \"box_3d\": [1.51, 1.65, 4.21, 5.1, 1.52, 4.9], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": -0.55, \"box_2d\": [892.9, 184.25, 1241.0, 347.35], \"box_3d\": [1.48, 1.49, 4.16, 5.25, 1.62, 7.41], \"ry\": 0.05}, {\"category\": \"Car\", \"angle\": -0.2, \"box_2d\": [751.82, 186.07, 991.3, 264.82], \"box_3d\": [1.51, 1.69, 4.42, 5.23, 1.81, 15.06], \"ry\": 0.12}, {\"category\": \"Car\", \"angle\": 2.7, \"box_2d\": [839.46, 179.43, 1178.51, 304.14], \"box_3d\": [1.56, 1.5, 3.8, 5.26, 1.67, 9.93], \"ry\": -3.11}]\n```" + } + ] + }, + { + "id": 752, + "data_source": "Mono3DRefer", + "scene_name": "002776", + "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\": [481.89, 184.32, 544.53, 229.67], \"box_3d\": [1.52, 1.73, 4.28, -3.57, 1.97, 27.0], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [544.18, 181.01, 572.7, 202.59], \"box_3d\": [1.44, 1.7, 3.65, -3.61, 2.03, 50.78], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 753, + "data_source": "Mono3DRefer", + "scene_name": "002797", + "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\": [704.01, 175.35, 875.15, 294.91], \"box_3d\": [1.49, 1.56, 4.34, 2.5, 1.55, 11.26], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.18, \"box_2d\": [0.0, 188.36, 415.81, 374.0], \"box_3d\": [1.42, 1.53, 4.12, -2.99, 1.59, 6.27], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [646.47, 175.94, 691.56, 213.76], \"box_3d\": [1.38, 1.64, 3.51, 2.23, 1.52, 28.28], \"ry\": -1.51}]\n```" + } + ] + }, + { + "id": 754, + "data_source": "Mono3DRefer", + "scene_name": "002798", + "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\": -0.68, \"box_2d\": [851.24, 180.89, 1241.0, 352.76], \"box_3d\": [1.49, 1.66, 4.16, 4.84, 1.6, 7.53], \"ry\": -0.13}, {\"category\": \"Car\", \"angle\": 2.68, \"box_2d\": [698.6, 159.51, 984.04, 280.92], \"box_3d\": [1.85, 1.68, 4.34, 3.82, 1.66, 12.32], \"ry\": 2.97}, {\"category\": \"Car\", \"angle\": -2.42, \"box_2d\": [0.0, 210.33, 89.43, 374.0], \"box_3d\": [1.51, 1.53, 4.46, -6.99, 1.87, 5.62], \"ry\": 2.99}, {\"category\": \"Car\", \"angle\": -2.72, \"box_2d\": [18.53, 193.36, 289.43, 283.68], \"box_3d\": [1.43, 1.56, 3.85, -8.12, 1.84, 13.07], \"ry\": 3.01}, {\"category\": \"Car\", \"angle\": -2.9, \"box_2d\": [205.42, 189.3, 354.98, 245.58], \"box_3d\": [1.42, 1.62, 3.5, -9.14, 1.91, 20.14], \"ry\": 2.96}, {\"category\": \"Car\", \"angle\": -2.97, \"box_2d\": [331.78, 185.5, 422.05, 219.26], \"box_3d\": [1.41, 1.54, 3.6, -10.35, 1.99, 32.12], \"ry\": 3.01}]\n```" + } + ] + }, + { + "id": 755, + "data_source": "Mono3DRefer", + "scene_name": "002800", + "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\": 2.0, \"box_2d\": [0.0, 188.99, 333.46, 373.0], \"box_3d\": [1.57, 1.67, 4.14, 0.0, 1.69, 7.74], \"ry\": 1.49}]\n```" + } + ] + }, + { + "id": 756, + "data_source": "Mono3DRefer", + "scene_name": "002818", + "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\": [660.5, 176.51, 718.74, 220.45], \"box_3d\": [1.51, 1.75, 3.78, 2.87, 1.67, 27.02], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [424.29, 191.91, 485.48, 230.78], \"box_3d\": [1.36, 1.51, 4.02, -6.13, 2.16, 28.75], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [468.65, 182.4, 513.81, 218.53], \"box_3d\": [1.74, 1.65, 4.11, -6.11, 2.25, 37.31], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [486.77, 183.01, 524.1, 211.22], \"box_3d\": [1.61, 1.64, 4.0, -6.35, 2.24, 43.98], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -0.88, \"box_2d\": [0.0, 211.22, 66.36, 249.94], \"box_3d\": [1.43, 1.8, 3.96, -25.9, 3.18, 31.14], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.93, \"box_2d\": [10.37, 209.64, 117.1, 248.65], \"box_3d\": [1.4, 1.6, 3.97, -23.48, 3.08, 31.15], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.97, \"box_2d\": [58.25, 205.12, 171.9, 247.63], \"box_3d\": [1.49, 1.7, 4.51, -20.82, 2.95, 30.56], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [378.88, 194.87, 454.8, 245.01], \"box_3d\": [1.42, 1.54, 3.5, -6.21, 2.18, 23.4], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 757, + "data_source": "Mono3DRefer", + "scene_name": "002828", + "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\": [321.49, 185.25, 386.17, 216.6], \"box_3d\": [1.55, 1.88, 4.59, -13.79, 2.24, 39.05], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 758, + "data_source": "Mono3DRefer", + "scene_name": "002842", + "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\": [472.0, 185.61, 537.75, 234.78], \"box_3d\": [1.45, 1.53, 3.98, -3.44, 1.9, 23.98], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 759, + "data_source": "Mono3DRefer", + "scene_name": "002844", + "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\": 2.18, \"box_2d\": [38.34, 198.36, 166.25, 248.85], \"box_3d\": [1.67, 1.82, 4.42, -19.53, 2.73, 27.97], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [266.37, 192.33, 331.41, 226.56], \"box_3d\": [1.63, 1.87, 3.47, -16.24, 2.69, 37.77], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 760, + "data_source": "Mono3DRefer", + "scene_name": "002852", + "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, 196.41, 359.18, 374.0], \"box_3d\": [1.7, 1.43, 3.2, -3.33, 1.93, 5.84], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.52, \"box_2d\": [513.87, 184.43, 539.47, 209.12], \"box_3d\": [1.68, 1.63, 3.9, -6.08, 2.54, 52.2], \"ry\": 1.4}]\n```" + } + ] + }, + { + "id": 761, + "data_source": "Mono3DRefer", + "scene_name": "002862", + "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\": 1.54, \"box_2d\": [525.69, 179.78, 560.13, 214.91], \"box_3d\": [1.68, 1.63, 3.9, -3.51, 2.05, 36.94], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [497.41, 181.69, 526.61, 201.74], \"box_3d\": [1.47, 1.7, 4.39, -7.63, 2.16, 55.77], \"ry\": 1.31}]\n```" + } + ] + }, + { + "id": 762, + "data_source": "Mono3DRefer", + "scene_name": "002867", + "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\": [265.55, 181.29, 333.72, 216.73], \"box_3d\": [1.48, 1.61, 3.39, -13.87, 1.87, 32.34], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [213.79, 183.27, 296.8, 216.44], \"box_3d\": [1.44, 1.79, 4.32, -16.75, 1.95, 34.25], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [377.03, 176.64, 422.16, 201.88], \"box_3d\": [1.6, 1.78, 3.86, -13.98, 1.87, 48.05], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [346.24, 176.66, 391.17, 201.61], \"box_3d\": [1.65, 1.77, 3.85, -16.72, 1.93, 50.1], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 763, + "data_source": "Mono3DRefer", + "scene_name": "002876", + "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\": [667.92, 175.39, 767.79, 209.34], \"box_3d\": [1.45, 1.6, 4.23, 4.8, 1.59, 32.63], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": 3.11, \"box_2d\": [649.02, 175.08, 702.96, 195.39], \"box_3d\": [1.48, 1.72, 3.99, 4.95, 1.67, 54.72], \"ry\": -3.09}]\n```" + } + ] + }, + { + "id": 764, + "data_source": "Mono3DRefer", + "scene_name": "002882", + "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\": [0.0, 201.04, 410.64, 374.0], \"box_3d\": [1.52, 1.73, 4.28, -3.41, 1.86, 6.77], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [499.73, 185.21, 554.13, 224.07], \"box_3d\": [1.44, 1.7, 3.65, -3.35, 1.97, 29.39], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 765, + "data_source": "Mono3DRefer", + "scene_name": "002884", + "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\": [394.18, 171.44, 478.03, 247.47], \"box_3d\": [1.68, 1.63, 3.9, -4.3, 1.68, 18.14], \"ry\": 1.44}, {\"category\": \"Car\", \"angle\": 1.5, \"box_2d\": [433.4, 175.57, 479.41, 211.04], \"box_3d\": [1.47, 1.7, 4.39, -7.0, 1.62, 32.46], \"ry\": 1.29}]\n```" + } + ] + }, + { + "id": 766, + "data_source": "Mono3DRefer", + "scene_name": "002891", + "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\": [421.33, 182.55, 456.81, 202.43], \"box_3d\": [1.55, 1.88, 4.59, -14.08, 2.36, 59.61], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 767, + "data_source": "Mono3DRefer", + "scene_name": "002893", + "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\": [791.51, 187.33, 910.34, 266.63], \"box_3d\": [1.52, 1.54, 4.5, 5.31, 1.88, 16.58], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -2.4, \"box_2d\": [0.0, 160.59, 336.65, 334.4], \"box_3d\": [1.59, 1.45, 3.15, -4.78, 1.5, 7.6], \"ry\": -2.95}]\n```" + } + ] + }, + { + "id": 768, + "data_source": "Mono3DRefer", + "scene_name": "002901", + "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\": [218.46, 186.14, 296.08, 220.91], \"box_3d\": [1.45, 1.74, 3.42, -15.96, 2.08, 32.75], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 769, + "data_source": "Mono3DRefer", + "scene_name": "002908", + "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\": [254.58, 173.21, 322.13, 202.09], \"box_3d\": [1.34, 1.73, 3.98, -16.0, 1.39, 36.02], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 770, + "data_source": "Mono3DRefer", + "scene_name": "002913", + "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\": 2.35, \"box_2d\": [0.0, 173.07, 51.71, 241.69], \"box_3d\": [1.78, 1.6, 4.29, -16.66, 1.79, 18.22], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 2.25, \"box_2d\": [45.81, 181.81, 173.67, 232.37], \"box_3d\": [1.5, 1.47, 3.62, -16.22, 1.81, 23.55], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 771, + "data_source": "Mono3DRefer", + "scene_name": "002916", + "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\": -1.53, \"box_2d\": [545.29, 166.7, 569.52, 190.13], \"box_3d\": [1.57, 1.55, 3.32, -3.67, 1.18, 50.47], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [451.14, 179.86, 540.92, 240.43], \"box_3d\": [1.5, 1.7, 3.77, -3.08, 1.71, 19.97], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 772, + "data_source": "Mono3DRefer", + "scene_name": "002928", + "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\": -2.09, \"box_2d\": [797.36, 164.62, 1241.0, 374.0], \"box_3d\": [1.59, 1.59, 3.89, 2.55, 1.58, 4.66], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [635.47, 172.07, 672.47, 203.15], \"box_3d\": [1.38, 1.64, 3.51, 2.05, 1.37, 34.05], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -0.9, \"box_2d\": [0.0, 213.72, 325.96, 374.0], \"box_3d\": [1.33, 1.71, 4.09, -2.93, 1.62, 3.22], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [669.18, 170.16, 768.83, 243.39], \"box_3d\": [1.49, 1.56, 4.34, 2.38, 1.47, 17.03], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.36, \"box_2d\": [336.24, 181.41, 488.22, 285.87], \"box_3d\": [1.42, 1.53, 4.12, -3.14, 1.58, 12.06], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 773, + "data_source": "Mono3DRefer", + "scene_name": "002932", + "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\": [108.45, 198.69, 431.64, 374.0], \"box_3d\": [1.44, 1.72, 4.14, -3.45, 1.8, 8.19], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 774, + "data_source": "Mono3DRefer", + "scene_name": "002942", + "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\": [110.52, 190.59, 406.78, 368.47], \"box_3d\": [1.45, 1.64, 4.21, -3.67, 1.69, 8.34], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 1.4, \"box_2d\": [656.62, 175.49, 744.23, 245.06], \"box_3d\": [1.62, 1.58, 3.89, 2.21, 1.71, 18.9], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [465.18, 182.62, 531.3, 228.64], \"box_3d\": [1.45, 1.67, 4.43, -3.88, 1.81, 25.44], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [637.68, 183.28, 699.03, 228.56], \"box_3d\": [1.47, 1.59, 3.62, 1.97, 1.85, 25.7], \"ry\": -1.66}]\n```" + } + ] + }, + { + "id": 775, + "data_source": "Mono3DRefer", + "scene_name": "002944", + "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\": 1.68, \"box_2d\": [563.58, 167.5, 598.66, 194.93], \"box_3d\": [1.57, 1.67, 4.14, -1.17, 0.76, 43.61], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 776, + "data_source": "Mono3DRefer", + "scene_name": "002953", + "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\": 2.76, \"box_2d\": [852.98, 168.11, 977.12, 213.19], \"box_3d\": [1.38, 1.43, 3.4, 9.8, 1.26, 23.4], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": 2.53, \"box_2d\": [993.78, 157.87, 1172.75, 209.67], \"box_3d\": [1.58, 1.79, 4.7, 15.31, 1.14, 23.53], \"ry\": 3.1}, {\"category\": \"Car\", \"angle\": 1.19, \"box_2d\": [252.65, 187.13, 324.39, 223.89], \"box_3d\": [1.52, 1.55, 3.91, -14.38, 2.16, 32.1], \"ry\": 0.77}]\n```" + } + ] + }, + { + "id": 777, + "data_source": "Mono3DRefer", + "scene_name": "002967", + "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\": [0.0, 206.9, 423.67, 374.0], \"box_3d\": [1.44, 1.63, 3.32, -2.6, 1.76, 5.11], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -2.13, \"box_2d\": [828.25, 197.05, 1241.0, 374.0], \"box_3d\": [1.55, 1.55, 3.27, 2.76, 1.75, 4.74], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [714.21, 192.19, 911.15, 334.22], \"box_3d\": [1.48, 1.6, 3.79, 2.46, 1.79, 9.82], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [481.06, 187.52, 556.88, 249.52], \"box_3d\": [1.56, 1.55, 3.64, -2.54, 2.0, 20.52], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [527.13, 174.84, 584.06, 232.94], \"box_3d\": [1.91, 1.66, 4.22, -1.91, 2.0, 25.98], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [561.1, 178.44, 610.32, 222.93], \"box_3d\": [1.83, 1.69, 4.28, -1.04, 2.09, 31.97], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [618.74, 184.55, 658.11, 209.21], \"box_3d\": [1.51, 1.63, 4.03, 1.89, 2.3, 47.39], \"ry\": 1.86}]\n```" + } + ] + }, + { + "id": 778, + "data_source": "Mono3DRefer", + "scene_name": "002972", + "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\": [837.69, 178.46, 1241.0, 374.0], \"box_3d\": [1.58, 1.67, 3.43, 2.85, 1.63, 4.86], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -2.65, \"box_2d\": [1218.94, 133.92, 1241.0, 225.41], \"box_3d\": [1.84, 1.94, 3.68, 13.96, 1.03, 13.35], \"ry\": -1.86}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [361.38, 180.23, 487.65, 267.71], \"box_3d\": [1.51, 1.61, 3.57, -3.58, 1.67, 14.37], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [433.67, 178.56, 529.92, 240.95], \"box_3d\": [1.5, 1.6, 4.17, -3.38, 1.66, 19.52], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 2.04, \"box_2d\": [915.63, 158.11, 1020.21, 214.81], \"box_3d\": [1.71, 1.62, 3.56, 11.66, 1.28, 23.5], \"ry\": 2.49}, {\"category\": \"Car\", \"angle\": 2.14, \"box_2d\": [841.8, 164.28, 938.19, 211.42], \"box_3d\": [1.52, 1.58, 3.28, 9.64, 1.25, 24.86], \"ry\": 2.5}, {\"category\": \"Car\", \"angle\": 2.21, \"box_2d\": [810.7, 163.58, 892.99, 206.65], \"box_3d\": [1.55, 1.47, 2.97, 9.2, 1.23, 27.5], \"ry\": 2.53}, {\"category\": \"Car\", \"angle\": 2.32, \"box_2d\": [793.38, 167.91, 877.67, 206.13], \"box_3d\": [1.55, 1.43, 3.49, 9.59, 1.35, 30.74], \"ry\": 2.61}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [677.87, 175.77, 739.29, 223.55], \"box_3d\": [1.58, 1.68, 3.93, 3.44, 1.7, 26.02], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [513.68, 173.73, 569.18, 213.63], \"box_3d\": [1.58, 1.54, 3.98, -2.88, 1.64, 30.69], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": 3.0, \"box_2d\": [726.2, 163.23, 790.27, 191.65], \"box_3d\": [1.71, 1.67, 3.7, 9.21, 1.14, 45.13], \"ry\": -3.08}]\n```" + } + ] + }, + { + "id": 779, + "data_source": "Mono3DRefer", + "scene_name": "002996", + "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\": [127.31, 201.27, 457.06, 374.0], \"box_3d\": [1.44, 1.63, 3.32, -2.63, 1.77, 6.71], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -2.02, \"box_2d\": [782.82, 192.9, 1164.62, 374.0], \"box_3d\": [1.55, 1.55, 3.27, 2.74, 1.76, 6.35], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [699.74, 189.17, 859.58, 306.25], \"box_3d\": [1.48, 1.6, 3.79, 2.43, 1.77, 11.42], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [489.94, 185.95, 559.05, 242.87], \"box_3d\": [1.56, 1.55, 3.64, -2.57, 1.98, 22.1], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [530.43, 173.66, 584.13, 228.09], \"box_3d\": [1.91, 1.66, 4.22, -1.97, 1.96, 27.59], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [562.54, 177.04, 609.24, 219.3], \"box_3d\": [1.83, 1.69, 4.28, -1.08, 2.04, 33.55], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [617.19, 184.77, 655.33, 208.61], \"box_3d\": [1.51, 1.63, 4.03, 1.81, 2.35, 48.98], \"ry\": 1.86}]\n```" + } + ] + }, + { + "id": 780, + "data_source": "Mono3DRefer", + "scene_name": "003032", + "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\": 2.09, \"box_2d\": [0.0, 230.36, 343.0, 374.0], \"box_3d\": [1.27, 1.54, 3.58, -3.74, 1.89, 6.13], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [295.11, 182.01, 461.7, 297.01], \"box_3d\": [1.63, 1.65, 3.91, -3.79, 1.8, 12.37], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [616.34, 176.04, 660.05, 216.25], \"box_3d\": [1.46, 1.53, 3.17, 1.01, 1.6, 28.07], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 781, + "data_source": "Mono3DRefer", + "scene_name": "003044", + "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\": -0.95, \"box_2d\": [0.0, 197.45, 96.07, 243.26], \"box_3d\": [1.52, 1.71, 4.11, -21.99, 2.52, 27.66], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.06, \"box_2d\": [49.25, 199.0, 160.92, 242.31], \"box_3d\": [1.42, 1.7, 4.14, -19.37, 2.49, 27.86], \"ry\": -1.66}]\n```" + } + ] + }, + { + "id": 782, + "data_source": "Mono3DRefer", + "scene_name": "003045", + "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\": [510.7, 189.02, 561.67, 228.0], \"box_3d\": [1.42, 1.66, 4.11, -2.99, 2.12, 29.59], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 783, + "data_source": "Mono3DRefer", + "scene_name": "003047", + "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\": 1.68, \"box_2d\": [551.06, 167.85, 582.87, 192.57], \"box_3d\": [1.57, 1.67, 4.14, -2.25, 0.7, 48.17], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 784, + "data_source": "Mono3DRefer", + "scene_name": "003053", + "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\": -2.93, \"box_2d\": [307.13, 178.74, 451.93, 227.73], \"box_3d\": [1.47, 1.53, 4.21, -7.39, 1.69, 23.3], \"ry\": 3.05}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [645.42, 169.93, 726.89, 235.13], \"box_3d\": [1.64, 1.62, 4.2, 2.01, 1.6, 20.5], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [429.75, 184.08, 520.89, 251.21], \"box_3d\": [1.35, 1.47, 3.43, -3.04, 1.63, 16.63], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -2.55, \"box_2d\": [0.0, 188.22, 220.95, 344.02], \"box_3d\": [1.48, 1.61, 4.24, -6.81, 1.68, 7.74], \"ry\": 3.03}]\n```" + } + ] + }, + { + "id": 785, + "data_source": "Mono3DRefer", + "scene_name": "003068", + "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\": [17.19, 184.7, 368.53, 374.0], \"box_3d\": [1.59, 1.63, 3.83, -4.12, 1.74, 7.84], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [658.48, 165.88, 696.48, 201.6], \"box_3d\": [1.62, 1.7, 3.29, 3.18, 1.33, 34.81], \"ry\": -1.51}]\n```" + } + ] + }, + { + "id": 786, + "data_source": "Mono3DRefer", + "scene_name": "003069", + "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\": 1.76, \"box_2d\": [486.41, 174.39, 536.81, 205.38], \"box_3d\": [1.42, 1.78, 3.62, -4.34, 1.1, 35.17], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 787, + "data_source": "Mono3DRefer", + "scene_name": "003081", + "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\": [259.4, 181.19, 507.03, 352.54], \"box_3d\": [1.57, 1.54, 4.01, -2.44, 1.68, 8.67], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 788, + "data_source": "Mono3DRefer", + "scene_name": "003087", + "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\": -0.86, \"box_2d\": [0.0, 193.98, 299.45, 374.0], \"box_3d\": [1.47, 1.6, 3.66, -2.94, 1.6, 3.06], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [472.34, 169.56, 548.58, 229.35], \"box_3d\": [1.7, 1.63, 4.08, -3.07, 1.64, 22.74], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [707.14, 173.61, 858.8, 299.0], \"box_3d\": [1.59, 1.59, 2.47, 2.34, 1.62, 10.47], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [686.2, 184.52, 777.2, 258.48], \"box_3d\": [1.37, 1.59, 3.22, 2.43, 1.64, 15.28], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [514.76, 176.66, 566.48, 212.33], \"box_3d\": [1.4, 1.67, 3.72, -2.91, 1.58, 30.54], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.52, \"box_2d\": [632.75, 173.59, 660.18, 197.32], \"box_3d\": [1.49, 1.61, 3.74, 2.34, 1.56, 47.54], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.73, \"box_2d\": [177.94, 166.1, 403.54, 241.49], \"box_3d\": [1.59, 1.63, 4.43, -7.22, 1.48, 16.49], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 789, + "data_source": "Mono3DRefer", + "scene_name": "003102", + "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\": [622.66, 174.57, 726.06, 267.98], \"box_3d\": [1.46, 1.53, 3.17, 1.0, 1.51, 12.99], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 790, + "data_source": "Mono3DRefer", + "scene_name": "003104", + "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\": [0.0, 148.83, 368.71, 374.0], \"box_3d\": [1.91, 1.66, 4.22, -3.18, 1.83, 5.17], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [311.13, 182.88, 495.71, 331.88], \"box_3d\": [1.83, 1.69, 4.28, -2.96, 2.0, 11.15], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [524.03, 194.51, 596.89, 241.22], \"box_3d\": [1.51, 1.63, 4.03, -1.79, 2.36, 26.81], \"ry\": 1.78}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [575.22, 192.66, 628.67, 230.7], \"box_3d\": [1.57, 1.44, 3.6, -0.34, 2.52, 33.08], \"ry\": 1.86}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [622.68, 188.98, 669.13, 219.03], \"box_3d\": [1.47, 1.51, 3.5, 1.92, 2.35, 38.34], \"ry\": 1.91}, {\"category\": \"Car\", \"angle\": -1.24, \"box_2d\": [786.08, 179.09, 823.5, 200.17], \"box_3d\": [1.77, 1.75, 4.67, 17.21, 2.34, 63.64], \"ry\": -0.98}]\n```" + } + ] + }, + { + "id": 791, + "data_source": "Mono3DRefer", + "scene_name": "003123", + "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\": 0.38, \"box_2d\": [307.62, 185.67, 444.03, 224.99], \"box_3d\": [1.36, 1.68, 4.49, -8.64, 1.86, 26.71], \"ry\": 0.07}]\n```" + } + ] + }, + { + "id": 792, + "data_source": "Mono3DRefer", + "scene_name": "003145", + "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\": [153.0, 196.31, 188.73, 225.51], \"box_3d\": [1.45, 1.62, 3.83, -24.34, 2.79, 40.01], \"ry\": 1.04}]\n```" + } + ] + }, + { + "id": 793, + "data_source": "Mono3DRefer", + "scene_name": "003152", + "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\": [394.33, 188.38, 511.88, 265.4], \"box_3d\": [1.45, 1.77, 4.04, -3.41, 1.83, 16.21], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 794, + "data_source": "Mono3DRefer", + "scene_name": "003159", + "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\": -2.45, \"box_2d\": [999.43, 196.82, 1241.0, 374.0], \"box_3d\": [1.39, 1.45, 3.44, 2.96, 1.52, 2.37], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -2.47, \"box_2d\": [0.0, 205.51, 123.41, 244.43], \"box_3d\": [1.3, 1.7, 3.97, -20.6, 2.56, 26.7], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 2.81, \"box_2d\": [826.05, 167.28, 930.55, 205.79], \"box_3d\": [1.38, 1.43, 3.4, 10.05, 1.2, 27.27], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 2.6, \"box_2d\": [944.65, 163.68, 1095.78, 208.17], \"box_3d\": [1.58, 1.79, 4.7, 15.38, 1.27, 27.26], \"ry\": 3.11}]\n```" + } + ] + }, + { + "id": 795, + "data_source": "Mono3DRefer", + "scene_name": "003161", + "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\": [508.92, 197.24, 557.71, 239.89], \"box_3d\": [1.5, 1.62, 4.19, -3.09, 2.56, 29.46], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 796, + "data_source": "Mono3DRefer", + "scene_name": "003165", + "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\": [201.39, 191.92, 290.89, 234.37], \"box_3d\": [1.45, 1.64, 3.61, -13.93, 2.22, 27.77], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [388.2, 182.81, 431.66, 206.63], \"box_3d\": [1.57, 1.9, 4.16, -14.05, 2.29, 50.81], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 797, + "data_source": "Mono3DRefer", + "scene_name": "003166", + "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\": -0.67, \"box_2d\": [1038.32, 168.53, 1241.0, 287.41], \"box_3d\": [1.42, 1.41, 4.3, 8.1, 1.37, 9.34], \"ry\": 0.03}]\n```" + } + ] + }, + { + "id": 798, + "data_source": "Mono3DRefer", + "scene_name": "003172", + "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, 189.43, 274.39, 347.91], \"box_3d\": [1.49, 1.63, 3.68, -5.84, 1.73, 8.9], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -2.1, \"box_2d\": [827.69, 184.91, 1241.0, 374.0], \"box_3d\": [1.49, 1.61, 3.55, 3.06, 1.6, 5.56], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 1.26, \"box_2d\": [464.88, 178.2, 519.18, 209.27], \"box_3d\": [1.41, 1.57, 3.53, -5.81, 1.69, 35.05], \"ry\": 1.09}, {\"category\": \"Car\", \"angle\": 2.62, \"box_2d\": [544.07, 173.59, 607.48, 195.16], \"box_3d\": [1.47, 1.72, 4.22, -2.45, 1.54, 51.6], \"ry\": 2.58}, {\"category\": \"Car\", \"angle\": 0.75, \"box_2d\": [341.95, 179.52, 418.58, 205.38], \"box_3d\": [1.42, 1.71, 4.14, -13.26, 1.83, 41.53], \"ry\": 0.44}, {\"category\": \"Car\", \"angle\": 2.74, \"box_2d\": [649.14, 172.8, 716.3, 193.21], \"box_3d\": [1.48, 1.87, 4.74, 5.53, 1.51, 55.13], \"ry\": 2.84}]\n```" + } + ] + }, + { + "id": 799, + "data_source": "Mono3DRefer", + "scene_name": "003191", + "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\": [400.8, 185.14, 511.67, 261.49], \"box_3d\": [1.44, 1.62, 3.67, -3.28, 1.73, 15.83], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [487.45, 179.9, 550.28, 228.49], \"box_3d\": [1.51, 1.62, 3.68, -3.06, 1.76, 24.57], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 800, + "data_source": "Mono3DRefer", + "scene_name": "003205", + "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\": [0.0, 173.41, 409.65, 374.0], \"box_3d\": [1.65, 1.75, 3.39, -2.57, 1.68, 4.71], \"ry\": 1.47}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [369.67, 180.82, 521.75, 293.95], \"box_3d\": [1.57, 1.54, 4.01, -2.6, 1.71, 12.12], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 801, + "data_source": "Mono3DRefer", + "scene_name": "003217", + "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\": [243.42, 189.97, 323.24, 225.32], \"box_3d\": [1.56, 1.91, 4.44, -16.05, 2.44, 35.64], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 802, + "data_source": "Mono3DRefer", + "scene_name": "003222", + "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\": [112.83, 187.73, 220.84, 231.81], \"box_3d\": [1.45, 1.74, 3.42, -16.07, 2.02, 26.3], \"ry\": 1.61}]\n```" + } + ] + }, + { + "id": 803, + "data_source": "Mono3DRefer", + "scene_name": "003223", + "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\": [509.71, 174.93, 565.71, 203.59], \"box_3d\": [1.37, 1.78, 4.65, -3.68, 1.5, 37.24], \"ry\": 1.72}]\n```" + } + ] + }, + { + "id": 804, + "data_source": "Mono3DRefer", + "scene_name": "003248", + "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\": [443.74, 184.29, 493.62, 229.14], \"box_3d\": [1.65, 1.75, 3.39, -5.62, 2.12, 28.83], \"ry\": 1.43}]\n```" + } + ] + }, + { + "id": 805, + "data_source": "Mono3DRefer", + "scene_name": "003276", + "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\": [119.15, 195.55, 242.72, 244.0], \"box_3d\": [1.46, 1.86, 4.01, -14.86, 2.3, 25.21], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 806, + "data_source": "Mono3DRefer", + "scene_name": "003279", + "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\": [391.56, 180.03, 661.98, 271.9], \"box_3d\": [1.47, 1.77, 4.49, -1.48, 1.62, 12.97], \"ry\": 3.06}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [536.85, 184.41, 564.41, 208.85], \"box_3d\": [1.52, 1.62, 4.5, -4.03, 2.31, 48.19], \"ry\": -1.7}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [441.1, 188.1, 476.01, 212.74], \"box_3d\": [1.42, 1.66, 4.5, -9.57, 2.42, 45.73], \"ry\": 1.48}]\n```" + } + ] + }, + { + "id": 807, + "data_source": "Mono3DRefer", + "scene_name": "003288", + "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\": [697.78, 166.52, 853.84, 286.11], \"box_3d\": [1.76, 1.71, 4.35, 2.69, 1.7, 12.9], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -2.41, \"box_2d\": [0.0, 185.52, 212.03, 348.81], \"box_3d\": [1.52, 1.58, 3.61, -6.49, 1.68, 7.63], \"ry\": -3.1}, {\"category\": \"Car\", \"angle\": 0.53, \"box_2d\": [0.0, 184.8, 334.04, 309.31], \"box_3d\": [1.52, 1.71, 4.49, -6.44, 1.71, 9.98], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -2.62, \"box_2d\": [98.2, 185.86, 369.88, 280.62], \"box_3d\": [1.49, 1.61, 3.87, -6.4, 1.74, 12.44], \"ry\": -3.09}, {\"category\": \"Car\", \"angle\": -2.71, \"box_2d\": [190.61, 181.71, 392.39, 259.98], \"box_3d\": [1.5, 1.58, 3.47, -6.54, 1.7, 14.93], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.33, \"box_2d\": [273.39, 164.91, 463.75, 242.2], \"box_3d\": [1.95, 1.64, 4.57, -6.44, 1.78, 19.42], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -2.78, \"box_2d\": [258.17, 176.29, 422.6, 251.0], \"box_3d\": [1.66, 1.58, 3.31, -6.37, 1.77, 17.16], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [677.52, 183.29, 770.37, 246.67], \"box_3d\": [1.44, 1.66, 3.25, 2.76, 1.72, 18.35], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -2.85, \"box_2d\": [318.22, 166.59, 452.41, 232.42], \"box_3d\": [1.87, 1.61, 3.53, -6.73, 1.72, 21.72], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -2.86, \"box_2d\": [357.86, 174.58, 487.87, 223.98], \"box_3d\": [1.72, 1.65, 4.33, -6.85, 1.81, 26.54], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [641.59, 179.1, 681.01, 210.3], \"box_3d\": [1.45, 1.59, 3.59, 2.47, 1.78, 35.8], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [663.45, 178.46, 728.46, 229.71], \"box_3d\": [1.54, 1.67, 3.72, 2.71, 1.74, 23.77], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 808, + "data_source": "Mono3DRefer", + "scene_name": "003289", + "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\": [602.75, 177.49, 673.26, 234.8], \"box_3d\": [1.36, 1.69, 3.38, 0.63, 1.5, 19.1], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.48, \"box_2d\": [1044.38, 168.43, 1193.57, 210.72], \"box_3d\": [1.45, 1.67, 4.32, 18.46, 1.32, 26.32], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [374.66, 177.84, 426.84, 208.43], \"box_3d\": [1.59, 1.72, 3.86, -11.51, 1.88, 39.82], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [583.69, 175.82, 627.1, 215.44], \"box_3d\": [1.52, 1.67, 3.61, -0.22, 1.66, 29.73], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 809, + "data_source": "Mono3DRefer", + "scene_name": "003293", + "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\": -1.52, \"box_2d\": [691.09, 177.39, 718.63, 201.62], \"box_3d\": [1.54, 1.63, 3.67, 6.34, 1.86, 48.18], \"ry\": -1.39}, {\"category\": \"Car\", \"angle\": -1.98, \"box_2d\": [799.44, 181.62, 1174.24, 374.0], \"box_3d\": [1.58, 1.67, 3.84, 3.18, 1.68, 7.12], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [519.17, 182.55, 597.49, 237.78], \"box_3d\": [1.53, 1.67, 3.78, -1.53, 1.84, 22.14], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [763.68, 147.92, 914.32, 297.61], \"box_3d\": [2.05, 1.5, 3.83, 3.52, 1.74, 11.87], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 810, + "data_source": "Mono3DRefer", + "scene_name": "003297", + "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\": [655.44, 181.0, 784.23, 297.56], \"box_3d\": [1.57, 1.73, 4.15, 1.69, 1.72, 11.93], \"ry\": 1.69}]\n```" + } + ] + }, + { + "id": 811, + "data_source": "Mono3DRefer", + "scene_name": "003320", + "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\": [1184.31, 178.71, 1241.0, 331.02], \"box_3d\": [1.46, 1.49, 3.63, 7.71, 1.51, 7.71], \"ry\": 2.55}, {\"category\": \"Car\", \"angle\": 2.58, \"box_2d\": [886.11, 150.38, 1206.8, 279.9], \"box_3d\": [1.71, 1.67, 3.7, 6.2, 1.43, 10.59], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 2.09, \"box_2d\": [0.0, 189.02, 272.92, 374.0], \"box_3d\": [1.64, 1.63, 4.51, -4.42, 1.8, 5.81], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [183.24, 185.16, 394.51, 313.5], \"box_3d\": [1.6, 1.66, 4.33, -4.82, 1.82, 11.44], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 812, + "data_source": "Mono3DRefer", + "scene_name": "003332", + "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\": [547.12, 175.78, 580.33, 201.5], \"box_3d\": [1.42, 1.66, 4.11, -2.7, 1.61, 42.4], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [369.13, 180.26, 513.26, 281.66], \"box_3d\": [1.6, 1.68, 3.94, -2.99, 1.74, 13.43], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 813, + "data_source": "Mono3DRefer", + "scene_name": "003346", + "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\": [663.4, 176.74, 715.27, 219.44], \"box_3d\": [1.6, 1.53, 4.18, 3.12, 1.77, 29.34], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [485.35, 176.15, 558.63, 233.86], \"box_3d\": [1.55, 1.68, 4.42, -2.59, 1.67, 21.8], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 814, + "data_source": "Mono3DRefer", + "scene_name": "003351", + "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\": [398.61, 179.27, 437.37, 199.08], \"box_3d\": [1.56, 1.91, 4.44, -15.84, 2.1, 59.69], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [182.21, 189.03, 284.2, 235.82], \"box_3d\": [1.48, 1.71, 3.54, -13.24, 2.08, 25.5], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 815, + "data_source": "Mono3DRefer", + "scene_name": "003358", + "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\": [864.03, 211.46, 1241.0, 374.0], \"box_3d\": [1.37, 1.51, 3.39, 2.68, 1.66, 3.92], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [496.54, 175.04, 561.58, 227.74], \"box_3d\": [1.55, 1.68, 4.42, -2.59, 1.65, 23.67], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [660.01, 175.9, 707.99, 215.92], \"box_3d\": [1.6, 1.53, 4.18, 3.1, 1.75, 31.16], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 816, + "data_source": "Mono3DRefer", + "scene_name": "003360", + "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\": [609.07, 186.03, 658.34, 218.99], \"box_3d\": [1.44, 1.66, 4.53, 1.18, 2.1, 34.77], \"ry\": -1.38}]\n```" + } + ] + }, + { + "id": 817, + "data_source": "Mono3DRefer", + "scene_name": "003376", + "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\": [538.88, 175.16, 565.94, 200.78], \"box_3d\": [1.7, 1.72, 4.11, -4.01, 1.89, 50.45], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 818, + "data_source": "Mono3DRefer", + "scene_name": "003409", + "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\": [501.92, 180.86, 540.94, 206.64], \"box_3d\": [1.43, 1.61, 4.13, -5.2, 1.91, 42.55], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [665.64, 171.65, 705.02, 202.59], \"box_3d\": [1.47, 1.6, 3.87, 3.74, 1.44, 36.62], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.36, \"box_2d\": [945.13, 177.69, 1241.0, 374.0], \"box_3d\": [1.55, 1.66, 4.15, 3.05, 1.57, 2.76], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -0.91, \"box_2d\": [0.0, 199.64, 230.34, 374.0], \"box_3d\": [1.63, 1.61, 3.81, -5.83, 1.97, 7.48], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [330.46, 186.13, 442.08, 254.34], \"box_3d\": [1.53, 1.68, 3.86, -5.67, 1.9, 18.63], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [400.85, 186.02, 477.97, 233.93], \"box_3d\": [1.42, 1.55, 3.85, -5.61, 1.88, 24.0], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [443.01, 183.76, 497.49, 222.72], \"box_3d\": [1.43, 1.48, 3.71, -5.56, 1.88, 28.9], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [471.31, 182.89, 518.51, 214.39], \"box_3d\": [1.4, 1.65, 4.02, -5.52, 1.9, 34.82], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.85, \"box_2d\": [782.77, 154.41, 889.68, 195.34], \"box_3d\": [1.64, 1.59, 3.99, 9.45, 0.91, 30.42], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": 2.87, \"box_2d\": [756.29, 156.1, 835.9, 191.9], \"box_3d\": [1.67, 1.67, 3.43, 9.03, 0.9, 35.29], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -0.66, \"box_2d\": [1107.58, 133.23, 1241.0, 173.32], \"box_3d\": [1.53, 1.85, 4.27, 23.15, -0.01, 29.57], \"ry\": 0.0}, {\"category\": \"Car\", \"angle\": -0.61, \"box_2d\": [1065.54, 135.26, 1196.74, 175.01], \"box_3d\": [1.67, 1.85, 4.49, 23.2, 0.07, 32.27], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -0.59, \"box_2d\": [1036.7, 140.17, 1164.17, 173.82], \"box_3d\": [1.53, 1.85, 4.94, 23.84, 0.01, 35.23], \"ry\": -0.0}, {\"category\": \"Car\", \"angle\": -0.58, \"box_2d\": [1011.22, 141.36, 1128.71, 173.61], \"box_3d\": [1.57, 1.85, 4.92, 23.8, 0.01, 37.48], \"ry\": -0.01}]\n```" + } + ] + }, + { + "id": 819, + "data_source": "Mono3DRefer", + "scene_name": "003410", + "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\": [0.92, 197.79, 430.44, 374.0], \"box_3d\": [1.33, 1.71, 4.09, -2.97, 1.62, 6.47], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [654.5, 171.96, 734.69, 231.36], \"box_3d\": [1.49, 1.56, 4.34, 2.25, 1.5, 20.49], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [396.29, 179.49, 504.94, 257.91], \"box_3d\": [1.42, 1.53, 4.12, -3.28, 1.58, 15.34], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [731.01, 167.06, 1005.9, 356.93], \"box_3d\": [1.59, 1.59, 3.89, 2.48, 1.57, 8.08], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [626.66, 173.05, 660.48, 201.29], \"box_3d\": [1.38, 1.64, 3.51, 1.75, 1.41, 37.29], \"ry\": -1.5}]\n```" + } + ] + }, + { + "id": 820, + "data_source": "Mono3DRefer", + "scene_name": "003416", + "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\": 0.48, \"box_2d\": [157.89, 193.75, 456.71, 285.39], \"box_3d\": [1.38, 1.66, 4.38, -5.03, 1.77, 12.17], \"ry\": 0.09}, {\"category\": \"Car\", \"angle\": -0.47, \"box_2d\": [831.68, 172.3, 1241.0, 333.3], \"box_3d\": [1.48, 1.86, 4.18, 4.66, 1.49, 7.62], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": -0.42, \"box_2d\": [767.72, 159.48, 1106.2, 287.31], \"box_3d\": [1.74, 1.66, 4.37, 4.74, 1.58, 10.94], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -2.83, \"box_2d\": [368.31, 185.46, 518.33, 235.28], \"box_3d\": [1.47, 1.67, 4.28, -5.21, 1.89, 22.68], \"ry\": -3.05}, {\"category\": \"Car\", \"angle\": -3.05, \"box_2d\": [418.33, 183.49, 536.85, 221.76], \"box_3d\": [1.38, 1.67, 4.37, -5.09, 1.81, 27.96], \"ry\": 3.05}]\n```" + } + ] + }, + { + "id": 821, + "data_source": "Mono3DRefer", + "scene_name": "003445", + "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\": [587.35, 183.5, 625.37, 217.88], \"box_3d\": [1.41, 1.59, 4.47, -0.19, 1.91, 32.67], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 822, + "data_source": "Mono3DRefer", + "scene_name": "003451", + "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\": [417.51, 176.26, 485.7, 241.28], \"box_3d\": [1.68, 1.63, 3.9, -4.53, 1.8, 20.89], \"ry\": 1.43}, {\"category\": \"Car\", \"angle\": 1.48, \"box_2d\": [439.4, 180.02, 483.18, 212.5], \"box_3d\": [1.47, 1.7, 4.39, -7.36, 1.83, 35.3], \"ry\": 1.28}]\n```" + } + ] + }, + { + "id": 823, + "data_source": "Mono3DRefer", + "scene_name": "003452", + "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\": 1.49, \"box_2d\": [350.72, 192.41, 387.53, 223.18], \"box_3d\": [1.65, 1.75, 3.39, -14.11, 2.82, 42.09], \"ry\": 1.17}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [242.66, 194.15, 451.83, 336.97], \"box_3d\": [1.47, 1.7, 4.39, -3.43, 1.82, 10.17], \"ry\": 1.48}]\n```" + } + ] + }, + { + "id": 824, + "data_source": "Mono3DRefer", + "scene_name": "003466", + "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\": 1.62, \"box_2d\": [557.34, 157.01, 585.8, 180.84], \"box_3d\": [1.49, 1.68, 4.08, -1.91, -0.06, 47.44], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 825, + "data_source": "Mono3DRefer", + "scene_name": "003478", + "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\": [438.91, 171.93, 537.88, 252.06], \"box_3d\": [1.7, 1.63, 4.08, -2.85, 1.71, 17.5], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.98, \"box_2d\": [803.1, 184.61, 1220.06, 374.0], \"box_3d\": [1.59, 1.59, 2.47, 2.44, 1.69, 5.1], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [726.63, 191.29, 895.69, 315.47], \"box_3d\": [1.37, 1.59, 3.22, 2.53, 1.66, 9.91], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [502.82, 182.12, 567.59, 225.9], \"box_3d\": [1.4, 1.67, 3.72, -2.59, 1.74, 25.38], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": 1.51, \"box_2d\": [644.21, 177.53, 676.25, 204.33], \"box_3d\": [1.49, 1.61, 3.74, 2.88, 1.78, 42.33], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.58, \"box_2d\": [0.0, 170.29, 320.85, 283.07], \"box_3d\": [1.59, 1.63, 4.43, -7.1, 1.59, 11.25], \"ry\": -3.13}]\n```" + } + ] + }, + { + "id": 826, + "data_source": "Mono3DRefer", + "scene_name": "003483", + "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\": [0.0, 157.56, 411.14, 374.0], \"box_3d\": [1.7, 1.63, 4.08, -3.01, 1.65, 5.73], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.33, \"box_2d\": [375.78, 188.05, 513.37, 276.76], \"box_3d\": [1.4, 1.67, 3.72, -3.01, 1.72, 13.71], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [634.67, 181.93, 682.42, 219.87], \"box_3d\": [1.49, 1.61, 3.74, 1.96, 1.88, 30.59], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 827, + "data_source": "Mono3DRefer", + "scene_name": "003486", + "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\": [694.16, 180.37, 722.37, 205.02], \"box_3d\": [1.54, 1.63, 3.67, 6.49, 2.05, 47.57], \"ry\": -1.38}, {\"category\": \"Car\", \"angle\": 2.43, \"box_2d\": [0.0, 152.96, 135.69, 361.68], \"box_3d\": [1.93, 1.59, 4.01, -6.52, 1.76, 6.43], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [758.17, 178.74, 959.72, 311.06], \"box_3d\": [1.58, 1.67, 3.84, 3.36, 1.68, 10.63], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [570.63, 182.12, 628.06, 221.85], \"box_3d\": [1.53, 1.67, 3.78, -0.41, 1.93, 30.02], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [744.48, 157.93, 848.68, 268.8], \"box_3d\": [2.05, 1.5, 3.83, 3.79, 1.8, 15.34], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 828, + "data_source": "Mono3DRefer", + "scene_name": "003494", + "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\": [681.42, 180.55, 785.6, 256.04], \"box_3d\": [1.5, 1.59, 3.79, 2.64, 1.69, 16.44], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [647.47, 178.91, 690.39, 215.39], \"box_3d\": [1.49, 1.57, 4.07, 2.5, 1.76, 31.74], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [667.47, 177.38, 738.4, 235.74], \"box_3d\": [1.57, 1.59, 3.75, 2.65, 1.73, 21.55], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 0.3, \"box_2d\": [322.53, 190.21, 410.74, 222.28], \"box_3d\": [1.52, 1.51, 3.94, -12.25, 2.42, 36.37], \"ry\": -0.02}, {\"category\": \"Car\", \"angle\": 0.46, \"box_2d\": [204.7, 191.63, 304.17, 225.1], \"box_3d\": [1.58, 1.56, 4.24, -17.9, 2.56, 36.36], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [635.58, 178.6, 662.77, 201.2], \"box_3d\": [1.49, 1.55, 3.93, 2.67, 1.91, 50.2], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [594.27, 178.41, 619.2, 202.13], \"box_3d\": [1.54, 1.63, 3.67, -0.25, 1.94, 49.35], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [143.78, 197.57, 449.39, 374.0], \"box_3d\": [1.45, 1.59, 3.59, -2.91, 1.75, 7.45], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.31, \"box_2d\": [904.66, 178.71, 1241.0, 374.0], \"box_3d\": [1.64, 1.64, 3.89, 2.72, 1.67, 2.74], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.98, \"box_2d\": [785.41, 170.22, 1074.24, 374.0], \"box_3d\": [1.69, 1.39, 2.65, 2.67, 1.7, 6.7], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 829, + "data_source": "Mono3DRefer", + "scene_name": "003516", + "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\": -2.57, \"box_2d\": [0.0, 208.84, 238.54, 338.87], \"box_3d\": [1.42, 1.62, 3.5, -6.97, 1.94, 9.22], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": -2.86, \"box_2d\": [299.0, 190.28, 439.26, 242.43], \"box_3d\": [1.41, 1.54, 3.6, -7.02, 1.95, 21.13], \"ry\": 3.1}]\n```" + } + ] + }, + { + "id": 830, + "data_source": "Mono3DRefer", + "scene_name": "003517", + "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\": [402.2, 187.19, 504.27, 256.75], \"box_3d\": [1.39, 1.52, 3.56, -3.55, 1.75, 16.73], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [525.35, 182.16, 553.42, 203.82], \"box_3d\": [1.34, 1.64, 4.57, -4.67, 1.98, 47.96], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": -2.87, \"box_2d\": [0.0, 194.19, 127.2, 312.62], \"box_3d\": [1.53, 1.54, 4.35, -9.31, 1.86, 9.79], \"ry\": 2.67}, {\"category\": \"Car\", \"angle\": 2.95, \"box_2d\": [423.23, 181.17, 505.37, 210.82], \"box_3d\": [1.52, 1.41, 4.22, -8.02, 2.01, 39.6], \"ry\": 2.75}]\n```" + } + ] + }, + { + "id": 831, + "data_source": "Mono3DRefer", + "scene_name": "003518", + "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\": [0.0, 185.83, 353.24, 346.25], \"box_3d\": [1.37, 1.78, 4.65, -4.9, 1.56, 8.72], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.17, \"box_2d\": [1165.02, 150.45, 1241.0, 202.55], \"box_3d\": [1.48, 1.51, 4.35, 19.13, 0.83, 21.72], \"ry\": 2.89}]\n```" + } + ] + }, + { + "id": 832, + "data_source": "Mono3DRefer", + "scene_name": "003524", + "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\": [285.12, 194.74, 448.54, 304.45], \"box_3d\": [1.39, 1.48, 3.76, -3.75, 1.79, 11.63], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [514.95, 178.87, 558.59, 211.13], \"box_3d\": [1.46, 1.75, 4.23, -3.54, 1.77, 35.23], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 833, + "data_source": "Mono3DRefer", + "scene_name": "003553", + "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, 198.63, 57.49, 255.6], \"box_3d\": [1.67, 1.82, 4.42, -19.52, 2.53, 22.06], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [186.84, 191.84, 273.15, 233.95], \"box_3d\": [1.63, 1.87, 3.47, -16.25, 2.49, 30.99], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [389.57, 187.13, 424.47, 204.87], \"box_3d\": [1.33, 1.72, 3.63, -16.27, 2.5, 57.92], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 834, + "data_source": "Mono3DRefer", + "scene_name": "003565", + "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\": [791.58, 199.04, 1241.0, 374.0], \"box_3d\": [1.54, 1.6, 3.52, 2.39, 1.76, 4.56], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.24, \"box_2d\": [122.28, 194.05, 451.58, 374.0], \"box_3d\": [1.54, 1.5, 3.48, -2.55, 1.77, 6.48], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [356.34, 191.77, 509.0, 303.13], \"box_3d\": [1.44, 1.63, 3.32, -2.69, 1.78, 11.47], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [711.61, 185.4, 882.04, 305.9], \"box_3d\": [1.55, 1.55, 3.27, 2.67, 1.76, 11.19], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [670.16, 185.83, 770.13, 262.68], \"box_3d\": [1.48, 1.6, 3.79, 2.31, 1.8, 16.25], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [507.8, 184.64, 563.14, 230.56], \"box_3d\": [1.56, 1.55, 3.64, -2.74, 2.02, 26.86], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [539.23, 173.54, 585.23, 219.37], \"box_3d\": [1.91, 1.66, 4.22, -2.11, 1.97, 32.37], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [564.21, 176.37, 604.75, 213.01], \"box_3d\": [1.83, 1.69, 4.28, -1.33, 2.03, 38.38], \"ry\": 1.64}]\n```" + } + ] + }, + { + "id": 835, + "data_source": "Mono3DRefer", + "scene_name": "003569", + "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\": 2.19, \"box_2d\": [0.0, 145.42, 301.83, 374.0], \"box_3d\": [1.91, 1.66, 4.22, -3.18, 1.82, 3.57], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [240.73, 167.59, 477.4, 349.02], \"box_3d\": [1.83, 1.69, 4.28, -2.99, 1.8, 9.48], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [516.83, 182.43, 594.35, 230.45], \"box_3d\": [1.51, 1.63, 4.03, -1.84, 1.86, 25.14], \"ry\": 1.78}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [569.04, 180.59, 626.93, 219.46], \"box_3d\": [1.57, 1.44, 3.6, -0.49, 1.92, 31.34], \"ry\": 1.87}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [620.27, 182.01, 668.66, 212.8], \"box_3d\": [1.47, 1.51, 3.5, 1.77, 1.95, 36.71], \"ry\": 1.91}, {\"category\": \"Car\", \"angle\": -1.25, \"box_2d\": [788.94, 165.74, 827.12, 187.24], \"box_3d\": [1.77, 1.75, 4.67, 17.03, 1.2, 61.96], \"ry\": -0.98}]\n```" + } + ] + }, + { + "id": 836, + "data_source": "Mono3DRefer", + "scene_name": "003573", + "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\": [819.48, 120.53, 858.01, 148.47], \"box_3d\": [1.5, 1.62, 4.19, 14.58, -1.65, 45.93], \"ry\": 2.05}]\n```" + } + ] + }, + { + "id": 837, + "data_source": "Mono3DRefer", + "scene_name": "003575", + "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\": -0.59, \"box_2d\": [237.07, 183.53, 457.92, 273.33], \"box_3d\": [1.41, 1.62, 3.6, -4.84, 1.64, 13.57], \"ry\": -0.93}, {\"category\": \"Car\", \"angle\": -0.54, \"box_2d\": [130.3, 168.19, 384.05, 268.22], \"box_3d\": [1.77, 1.96, 4.39, -7.24, 1.71, 15.16], \"ry\": -0.98}]\n```" + } + ] + }, + { + "id": 838, + "data_source": "Mono3DRefer", + "scene_name": "003577", + "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\": [810.84, 163.69, 889.6, 204.4], \"box_3d\": [1.55, 1.47, 2.97, 9.63, 1.21, 28.98], \"ry\": 2.55}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [687.28, 173.35, 745.64, 218.25], \"box_3d\": [1.58, 1.68, 3.93, 3.95, 1.62, 27.56], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [531.53, 172.54, 583.56, 210.25], \"box_3d\": [1.58, 1.54, 3.98, -2.32, 1.59, 32.36], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": 3.01, \"box_2d\": [734.1, 162.5, 796.12, 189.99], \"box_3d\": [1.71, 1.67, 3.7, 9.96, 1.08, 46.64], \"ry\": -3.07}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [99.33, 185.65, 496.14, 374.0], \"box_3d\": [1.54, 1.64, 4.08, -2.56, 1.69, 6.99], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": -1.95, \"box_2d\": [803.55, 175.69, 1185.25, 374.0], \"box_3d\": [1.58, 1.67, 3.43, 2.94, 1.63, 6.47], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -2.61, \"box_2d\": [1185.36, 138.75, 1241.0, 226.45], \"box_3d\": [1.84, 1.94, 3.68, 14.31, 1.11, 14.65], \"ry\": -1.85}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [399.12, 179.48, 514.28, 256.28], \"box_3d\": [1.51, 1.61, 3.57, -3.32, 1.67, 16.06], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [460.35, 178.62, 548.89, 235.61], \"box_3d\": [1.5, 1.6, 4.17, -3.01, 1.68, 21.15], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [909.33, 160.17, 1009.71, 213.46], \"box_3d\": [1.71, 1.62, 3.56, 12.05, 1.31, 24.88], \"ry\": 2.51}, {\"category\": \"Car\", \"angle\": 2.16, \"box_2d\": [841.7, 164.6, 933.88, 208.92], \"box_3d\": [1.52, 1.58, 3.28, 10.12, 1.24, 26.33], \"ry\": 2.52}]\n```" + } + ] + }, + { + "id": 839, + "data_source": "Mono3DRefer", + "scene_name": "003578", + "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\": [474.39, 187.54, 520.84, 227.84], \"box_3d\": [1.57, 1.54, 4.01, -4.81, 2.23, 31.11], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [453.96, 187.34, 512.62, 243.1], \"box_3d\": [1.65, 1.75, 3.39, -4.14, 2.15, 23.74], \"ry\": 1.44}]\n```" + } + ] + }, + { + "id": 840, + "data_source": "Mono3DRefer", + "scene_name": "003584", + "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\": [412.35, 195.22, 525.22, 277.11], \"box_3d\": [1.46, 1.75, 4.23, -3.0, 2.01, 15.94], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 841, + "data_source": "Mono3DRefer", + "scene_name": "003585", + "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\": [531.68, 181.52, 554.68, 202.15], \"box_3d\": [1.47, 1.43, 3.11, -4.96, 2.12, 53.64], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [231.31, 178.4, 287.19, 207.97], \"box_3d\": [1.71, 1.44, 4.06, -21.45, 2.07, 44.23], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [276.94, 181.61, 325.0, 204.62], \"box_3d\": [1.53, 1.67, 3.88, -21.67, 2.16, 50.69], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 2.56, \"box_2d\": [988.38, 194.13, 1081.47, 227.29], \"box_3d\": [1.68, 1.39, 4.26, 22.95, 2.87, 39.07], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [317.97, 181.95, 357.21, 202.85], \"box_3d\": [1.53, 1.47, 4.05, -21.01, 2.25, 55.74], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [548.46, 179.73, 569.1, 196.37], \"box_3d\": [1.41, 1.48, 4.93, -4.53, 2.03, 64.08], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [564.93, 178.81, 617.28, 230.97], \"box_3d\": [1.62, 1.63, 4.5, -0.63, 1.84, 24.92], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.14, \"box_2d\": [163.51, 182.38, 236.92, 212.39], \"box_3d\": [1.46, 1.31, 4.15, -21.41, 1.97, 37.82], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": -0.69, \"box_2d\": [1077.9, 196.28, 1154.69, 226.85], \"box_3d\": [1.57, 1.8, 2.99, 27.91, 2.9, 39.86], \"ry\": -0.08}]\n```" + } + ] + }, + { + "id": 842, + "data_source": "Mono3DRefer", + "scene_name": "003610", + "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\": [454.25, 186.21, 516.58, 245.31], \"box_3d\": [1.65, 1.75, 3.39, -3.85, 2.08, 22.43], \"ry\": 1.43}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [476.63, 188.27, 525.76, 230.58], \"box_3d\": [1.57, 1.54, 4.01, -4.46, 2.23, 29.79], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 843, + "data_source": "Mono3DRefer", + "scene_name": "003623", + "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\": [518.74, 200.28, 564.2, 241.29], \"box_3d\": [1.5, 1.62, 4.19, -2.9, 2.74, 30.86], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 844, + "data_source": "Mono3DRefer", + "scene_name": "003630", + "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\": [360.57, 185.95, 409.88, 212.85], \"box_3d\": [1.48, 1.71, 3.54, -13.26, 2.28, 42.67], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 845, + "data_source": "Mono3DRefer", + "scene_name": "003631", + "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\": [237.55, 193.5, 272.32, 222.41], \"box_3d\": [1.45, 1.62, 3.83, -19.74, 2.64, 40.15], \"ry\": 1.14}]\n```" + } + ] + }, + { + "id": 846, + "data_source": "Mono3DRefer", + "scene_name": "003635", + "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\": [583.65, 212.45, 614.38, 244.6], \"box_3d\": [1.5, 1.62, 4.19, -0.65, 3.82, 40.4], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 847, + "data_source": "Mono3DRefer", + "scene_name": "003671", + "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\": [665.2, 178.52, 760.87, 211.04], \"box_3d\": [1.45, 1.6, 4.23, 4.79, 1.74, 34.06], \"ry\": -0.05}, {\"category\": \"Car\", \"angle\": 3.11, \"box_2d\": [650.04, 177.13, 702.57, 196.91], \"box_3d\": [1.48, 1.72, 3.99, 5.11, 1.83, 56.17], \"ry\": -3.09}]\n```" + } + ] + }, + { + "id": 848, + "data_source": "Mono3DRefer", + "scene_name": "003674", + "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\": [853.14, 206.38, 1241.0, 374.0], \"box_3d\": [1.54, 1.6, 3.52, 2.41, 1.75, 2.98], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.14, \"box_2d\": [0.0, 197.09, 419.36, 374.0], \"box_3d\": [1.54, 1.5, 3.48, -2.52, 1.75, 4.9], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [311.94, 193.53, 498.09, 326.94], \"box_3d\": [1.44, 1.63, 3.32, -2.65, 1.77, 9.9], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.91, \"box_2d\": [730.41, 184.87, 939.29, 329.28], \"box_3d\": [1.55, 1.55, 3.27, 2.72, 1.73, 9.6], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [678.36, 186.99, 793.41, 273.88], \"box_3d\": [1.48, 1.6, 3.79, 2.36, 1.8, 14.64], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [503.5, 184.09, 562.59, 233.02], \"box_3d\": [1.56, 1.55, 3.64, -2.66, 1.97, 25.28], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [536.9, 171.95, 585.11, 220.29], \"box_3d\": [1.91, 1.66, 4.22, -2.05, 1.9, 30.8], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [564.61, 175.51, 606.97, 213.84], \"box_3d\": [1.83, 1.69, 4.28, -1.2, 1.98, 36.79], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [613.94, 180.83, 649.84, 202.85], \"box_3d\": [1.51, 1.63, 4.03, 1.61, 2.1, 52.24], \"ry\": 1.85}]\n```" + } + ] + }, + { + "id": 849, + "data_source": "Mono3DRefer", + "scene_name": "003701", + "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\": [76.8, 169.71, 416.69, 370.62], \"box_3d\": [1.66, 1.67, 4.49, -3.69, 1.67, 8.28], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.04, \"box_2d\": [145.73, 180.33, 220.66, 215.14], \"box_3d\": [1.56, 1.72, 3.09, -20.21, 1.92, 34.24], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [474.8, 177.86, 532.53, 218.99], \"box_3d\": [1.46, 1.59, 4.12, -4.07, 1.67, 27.94], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.17, \"box_2d\": [309.8, 176.0, 350.44, 198.64], \"box_3d\": [1.57, 1.57, 3.32, -20.28, 1.82, 52.34], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [337.03, 175.11, 377.6, 196.12], \"box_3d\": [1.57, 1.2, 5.24, -19.92, 1.77, 57.02], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [529.81, 173.16, 560.99, 201.39], \"box_3d\": [1.72, 1.66, 4.32, -4.15, 1.77, 46.63], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [584.48, 174.58, 622.53, 211.74], \"box_3d\": [1.62, 1.63, 4.5, -0.28, 1.73, 34.05], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 850, + "data_source": "Mono3DRefer", + "scene_name": "003705", + "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\": [313.64, 193.37, 458.81, 292.73], \"box_3d\": [1.39, 1.48, 3.76, -3.76, 1.79, 12.59], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [517.38, 178.17, 559.19, 209.42], \"box_3d\": [1.46, 1.75, 4.23, -3.58, 1.75, 36.3], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 851, + "data_source": "Mono3DRefer", + "scene_name": "003710", + "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\": [705.53, 185.69, 840.11, 270.76], \"box_3d\": [1.38, 1.51, 4.1, 2.97, 1.66, 14.18], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -2.31, \"box_2d\": [975.46, 161.12, 1241.0, 374.0], \"box_3d\": [1.6, 1.66, 3.55, 3.76, 1.54, 4.01], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 2.28, \"box_2d\": [0.0, 188.03, 41.86, 230.24], \"box_3d\": [1.32, 1.51, 3.55, -20.08, 1.82, 22.71], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 852, + "data_source": "Mono3DRefer", + "scene_name": "003724", + "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\": [518.09, 176.84, 552.09, 207.12], \"box_3d\": [1.7, 1.72, 4.11, -4.44, 1.96, 43.02], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 853, + "data_source": "Mono3DRefer", + "scene_name": "003727", + "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\": [517.03, 180.88, 582.84, 223.44], \"box_3d\": [1.44, 1.68, 4.39, -2.18, 1.75, 26.88], \"ry\": 1.67}]\n```" + } + ] + }, + { + "id": 854, + "data_source": "Mono3DRefer", + "scene_name": "003733", + "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\": [468.63, 187.03, 543.37, 242.67], \"box_3d\": [1.42, 1.66, 4.11, -2.99, 1.87, 21.21], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 855, + "data_source": "Mono3DRefer", + "scene_name": "003738", + "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\": [280.63, 193.0, 490.63, 331.16], \"box_3d\": [1.46, 1.75, 4.23, -2.93, 1.79, 10.25], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 856, + "data_source": "Mono3DRefer", + "scene_name": "003745", + "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\": [266.8, 176.69, 324.76, 203.4], \"box_3d\": [1.57, 1.2, 5.24, -19.7, 1.83, 45.4], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [535.29, 178.15, 565.5, 200.8], \"box_3d\": [1.41, 1.69, 4.36, -3.92, 1.78, 47.66], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [462.46, 171.45, 529.9, 227.13], \"box_3d\": [1.72, 1.66, 4.32, -3.83, 1.71, 24.71], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [587.75, 174.28, 625.58, 211.96], \"box_3d\": [1.62, 1.63, 4.5, -0.16, 1.72, 33.63], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 2.1, \"box_2d\": [0.0, 194.12, 355.49, 374.0], \"box_3d\": [1.46, 1.59, 4.12, -3.88, 1.7, 6.5], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.08, \"box_2d\": [218.56, 178.12, 277.81, 207.84], \"box_3d\": [1.57, 1.57, 3.32, -20.15, 1.88, 40.24], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 857, + "data_source": "Mono3DRefer", + "scene_name": "003752", + "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\": [539.11, 180.22, 596.33, 217.1], \"box_3d\": [1.44, 1.68, 4.39, -1.75, 1.76, 30.61], \"ry\": 1.69}]\n```" + } + ] + }, + { + "id": 858, + "data_source": "Mono3DRefer", + "scene_name": "003756", + "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\": [986.66, 176.62, 1200.87, 246.26], \"box_3d\": [1.54, 1.68, 4.16, 11.53, 1.65, 17.63], \"ry\": -2.67}, {\"category\": \"Car\", \"angle\": -0.79, \"box_2d\": [702.69, 198.98, 790.69, 232.42], \"box_3d\": [1.37, 1.56, 4.19, 6.44, 2.66, 33.97], \"ry\": -0.61}]\n```" + } + ] + }, + { + "id": 859, + "data_source": "Mono3DRefer", + "scene_name": "003763", + "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\": 1.96, \"box_2d\": [0.0, 183.43, 322.7, 366.13], \"box_3d\": [1.57, 1.67, 4.14, -4.76, 1.61, 8.46], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 860, + "data_source": "Mono3DRefer", + "scene_name": "003768", + "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\": [450.88, 187.63, 501.99, 235.01], \"box_3d\": [1.65, 1.75, 3.39, -5.09, 2.24, 27.64], \"ry\": 1.44}]\n```" + } + ] + }, + { + "id": 861, + "data_source": "Mono3DRefer", + "scene_name": "003776", + "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\": [561.73, 174.24, 619.59, 230.15], \"box_3d\": [1.6, 1.66, 3.55, -0.7, 1.67, 22.66], \"ry\": -1.63}]\n```" + } + ] + }, + { + "id": 862, + "data_source": "Mono3DRefer", + "scene_name": "003789", + "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\": [451.48, 182.98, 514.64, 232.79], \"box_3d\": [1.7, 1.72, 4.11, -4.73, 2.1, 27.16], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 863, + "data_source": "Mono3DRefer", + "scene_name": "003794", + "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\": [292.24, 184.81, 366.45, 219.38], \"box_3d\": [1.55, 1.88, 4.59, -13.75, 2.16, 35.57], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 864, + "data_source": "Mono3DRefer", + "scene_name": "003803", + "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\": -0.59, \"box_2d\": [939.59, 134.64, 1241.0, 252.16], \"box_3d\": [1.47, 1.52, 4.43, 7.08, 1.0, 9.94], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [565.01, 164.78, 611.12, 203.62], \"box_3d\": [1.6, 1.68, 3.94, -0.94, 1.29, 31.91], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [618.2, 163.32, 640.86, 181.01], \"box_3d\": [1.42, 1.66, 4.11, 1.66, 0.68, 60.75], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.37, \"box_2d\": [491.38, 165.26, 583.26, 233.84], \"box_3d\": [1.77, 1.75, 4.67, -2.02, 1.6, 21.06], \"ry\": -1.47}, {\"category\": \"Car\", \"angle\": -1.92, \"box_2d\": [0.0, 241.35, 52.27, 336.99], \"box_3d\": [1.72, 1.39, 3.07, -13.21, 3.23, 14.99], \"ry\": -2.64}, {\"category\": \"Car\", \"angle\": -0.87, \"box_2d\": [1220.47, 136.02, 1241.0, 281.11], \"box_3d\": [1.48, 1.63, 3.98, 8.38, 1.08, 6.76], \"ry\": 0.0}]\n```" + } + ] + }, + { + "id": 865, + "data_source": "Mono3DRefer", + "scene_name": "003817", + "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\": 1.54, \"box_2d\": [533.37, 184.15, 566.85, 218.3], \"box_3d\": [1.68, 1.63, 3.9, -3.25, 2.3, 38.29], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": 1.43, \"box_2d\": [502.87, 185.4, 530.63, 204.14], \"box_3d\": [1.47, 1.7, 4.39, -7.84, 2.53, 60.27], \"ry\": 1.3}]\n```" + } + ] + }, + { + "id": 866, + "data_source": "Mono3DRefer", + "scene_name": "003824", + "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\": [688.15, 172.02, 758.89, 237.73], \"box_3d\": [1.56, 1.65, 3.69, 2.9, 1.57, 19.05], \"ry\": -1.44}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [381.35, 172.3, 511.07, 258.35], \"box_3d\": [1.76, 1.58, 3.68, -3.68, 1.77, 16.69], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": 2.33, \"box_2d\": [0.0, 188.76, 253.33, 298.64], \"box_3d\": [1.56, 1.62, 4.19, -8.53, 1.88, 12.84], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": 2.09, \"box_2d\": [395.33, 184.21, 503.23, 229.81], \"box_3d\": [1.42, 1.67, 4.53, -5.57, 1.85, 25.48], \"ry\": 1.88}, {\"category\": \"Car\", \"angle\": -0.7, \"box_2d\": [805.64, 165.8, 877.9, 193.9], \"box_3d\": [1.54, 1.63, 3.74, 13.2, 1.16, 41.18], \"ry\": -0.4}]\n```" + } + ] + }, + { + "id": 867, + "data_source": "Mono3DRefer", + "scene_name": "003825", + "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\": [421.12, 180.3, 489.39, 239.51], \"box_3d\": [1.41, 1.59, 4.47, -4.17, 1.63, 19.76], \"ry\": 1.41}]\n```" + } + ] + }, + { + "id": 868, + "data_source": "Mono3DRefer", + "scene_name": "003832", + "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\": [177.41, 174.29, 249.34, 213.43], \"box_3d\": [1.92, 1.58, 3.93, -20.69, 2.03, 37.75], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [584.98, 176.81, 624.06, 215.69], \"box_3d\": [1.62, 1.63, 4.5, -0.22, 1.82, 32.65], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [423.87, 181.29, 513.45, 248.37], \"box_3d\": [1.55, 1.51, 3.75, -3.6, 1.78, 18.73], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 869, + "data_source": "Mono3DRefer", + "scene_name": "003841", + "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\": [529.2, 175.86, 551.0, 195.24], \"box_3d\": [1.66, 1.73, 3.05, -6.2, 1.95, 64.12], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 870, + "data_source": "Mono3DRefer", + "scene_name": "003847", + "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\": [0.0, 196.14, 339.3, 374.0], \"box_3d\": [1.45, 1.64, 4.21, -3.53, 1.67, 5.11], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.37, \"box_2d\": [682.32, 176.01, 795.56, 263.48], \"box_3d\": [1.62, 1.58, 3.89, 2.57, 1.7, 15.43], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [455.81, 182.98, 533.77, 237.23], \"box_3d\": [1.45, 1.67, 4.43, -3.43, 1.78, 21.95], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [655.08, 182.49, 727.37, 235.44], \"box_3d\": [1.47, 1.59, 3.62, 2.37, 1.78, 22.18], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [519.74, 181.75, 554.68, 211.95], \"box_3d\": [1.46, 1.51, 3.24, -3.72, 1.93, 37.0], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 871, + "data_source": "Mono3DRefer", + "scene_name": "003850", + "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\": [782.25, 183.44, 1098.27, 353.48], \"box_3d\": [1.38, 1.51, 4.1, 3.21, 1.52, 8.07], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 2.02, \"box_2d\": [192.89, 177.63, 254.34, 205.33], \"box_3d\": [1.41, 1.48, 3.63, -20.84, 1.69, 39.01], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [230.73, 175.74, 283.81, 199.0], \"box_3d\": [1.32, 1.51, 3.55, -21.03, 1.51, 43.1], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 872, + "data_source": "Mono3DRefer", + "scene_name": "003852", + "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\": [846.52, 200.62, 1241.0, 374.0], \"box_3d\": [1.51, 1.56, 3.81, 3.06, 1.77, 5.17], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.87, \"box_2d\": [739.45, 184.32, 948.6, 322.03], \"box_3d\": [1.57, 1.68, 3.83, 3.05, 1.76, 10.37], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [477.58, 176.15, 535.12, 229.59], \"box_3d\": [1.52, 1.5, 3.85, -3.21, 1.64, 22.65], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [663.92, 179.86, 715.32, 218.63], \"box_3d\": [1.43, 1.59, 3.68, 3.07, 1.71, 28.69], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [520.69, 179.58, 558.66, 207.83], \"box_3d\": [1.29, 1.59, 4.12, -3.44, 1.64, 35.56], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [541.39, 172.47, 570.47, 199.01], \"box_3d\": [1.52, 1.61, 3.59, -3.25, 1.52, 43.49], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.49, \"box_2d\": [643.29, 175.87, 676.12, 201.92], \"box_3d\": [1.51, 1.65, 4.28, 2.99, 1.72, 44.4], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 873, + "data_source": "Mono3DRefer", + "scene_name": "003859", + "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\": -0.95, \"box_2d\": [0.0, 195.15, 374.97, 373.0], \"box_3d\": [1.46, 1.69, 4.52, -2.73, 1.59, 3.54], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.1, \"box_2d\": [491.29, 168.65, 563.95, 201.26], \"box_3d\": [1.43, 1.66, 4.15, -3.39, 0.86, 33.72], \"ry\": -1.2}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [565.3, 165.93, 600.61, 191.41], \"box_3d\": [1.45, 1.65, 3.52, -1.05, 0.56, 42.98], \"ry\": -1.47}, {\"category\": \"Car\", \"angle\": 0.33, \"box_2d\": [0.0, 179.46, 106.65, 231.41], \"box_3d\": [1.48, 1.56, 3.62, -17.26, 1.44, 21.57], \"ry\": -0.35}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [356.97, 163.05, 418.32, 193.73], \"box_3d\": [1.68, 1.67, 4.29, -12.37, 0.66, 41.87], \"ry\": 1.74}]\n```" + } + ] + }, + { + "id": 874, + "data_source": "Mono3DRefer", + "scene_name": "003864", + "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\": [657.73, 179.18, 698.16, 209.45], \"box_3d\": [1.41, 1.65, 4.28, 3.32, 1.75, 36.26], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 0.18, \"box_2d\": [424.86, 178.94, 537.36, 215.04], \"box_3d\": [1.44, 1.8, 4.44, -5.43, 1.72, 30.61], \"ry\": 0.0}, {\"category\": \"Car\", \"angle\": 0.33, \"box_2d\": [358.88, 178.89, 506.01, 229.36], \"box_3d\": [1.53, 1.8, 4.22, -5.67, 1.74, 23.17], \"ry\": 0.09}, {\"category\": \"Car\", \"angle\": 0.36, \"box_2d\": [340.17, 181.55, 492.06, 236.66], \"box_3d\": [1.5, 1.46, 3.95, -5.56, 1.77, 20.75], \"ry\": 0.1}, {\"category\": \"Car\", \"angle\": 0.31, \"box_2d\": [297.96, 180.74, 460.97, 245.56], \"box_3d\": [1.53, 1.64, 3.6, -5.81, 1.75, 18.32], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -2.68, \"box_2d\": [131.96, 182.92, 359.89, 274.33], \"box_3d\": [1.53, 1.51, 3.38, -6.55, 1.73, 13.11], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -2.65, \"box_2d\": [25.55, 190.91, 344.38, 299.35], \"box_3d\": [1.41, 1.63, 3.75, -6.16, 1.71, 10.68], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -2.36, \"box_2d\": [0.0, 197.32, 142.89, 374.0], \"box_3d\": [1.47, 1.53, 4.21, -6.51, 1.72, 5.92], \"ry\": 3.11}]\n```" + } + ] + }, + { + "id": 875, + "data_source": "Mono3DRefer", + "scene_name": "003867", + "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\": 1.46, \"box_2d\": [445.97, 175.04, 485.25, 202.84], \"box_3d\": [1.47, 1.7, 4.39, -8.23, 1.62, 40.75], \"ry\": 1.26}, {\"category\": \"Car\", \"angle\": 1.59, \"box_2d\": [450.32, 171.33, 499.41, 221.51], \"box_3d\": [1.68, 1.63, 3.9, -4.95, 1.66, 26.45], \"ry\": 1.4}]\n```" + } + ] + }, + { + "id": 876, + "data_source": "Mono3DRefer", + "scene_name": "003874", + "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\": -0.75, \"box_2d\": [687.29, 207.45, 760.99, 235.63], \"box_3d\": [1.37, 1.56, 4.19, 6.5, 3.42, 41.06], \"ry\": -0.6}]\n```" + } + ] + }, + { + "id": 877, + "data_source": "Mono3DRefer", + "scene_name": "003880", + "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\": 2.14, \"box_2d\": [0.0, 197.34, 400.19, 373.0], \"box_3d\": [1.57, 1.67, 4.14, -3.24, 1.76, 5.85], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 878, + "data_source": "Mono3DRefer", + "scene_name": "003888", + "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\": [485.34, 178.46, 531.98, 216.58], \"box_3d\": [1.7, 1.72, 4.11, -4.82, 1.98, 34.59], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 879, + "data_source": "Mono3DRefer", + "scene_name": "003893", + "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\": [409.0, 198.93, 520.71, 281.38], \"box_3d\": [1.42, 1.66, 4.11, -3.02, 2.05, 15.59], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [560.43, 174.92, 584.25, 199.3], \"box_3d\": [1.97, 1.87, 4.53, -3.17, 2.17, 61.2], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 880, + "data_source": "Mono3DRefer", + "scene_name": "003906", + "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\": [404.12, 182.33, 482.86, 229.78], \"box_3d\": [1.51, 1.81, 4.07, -5.82, 1.86, 25.51], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 881, + "data_source": "Mono3DRefer", + "scene_name": "003909", + "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\": [528.17, 175.92, 592.53, 224.77], \"box_3d\": [1.45, 1.64, 4.21, -1.58, 1.57, 23.75], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.5, \"box_2d\": [710.65, 177.05, 751.36, 214.15], \"box_3d\": [1.62, 1.58, 3.89, 5.55, 1.83, 33.61], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [592.48, 176.85, 631.1, 204.25], \"box_3d\": [1.45, 1.67, 4.43, 0.13, 1.69, 40.78], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": -2.05, \"box_2d\": [907.55, 186.89, 1241.0, 374.0], \"box_3d\": [1.66, 1.56, 3.42, 2.93, 1.76, 4.01], \"ry\": -1.45}]\n```" + } + ] + }, + { + "id": 882, + "data_source": "Mono3DRefer", + "scene_name": "003913", + "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\": 1.54, \"box_2d\": [541.15, 186.73, 570.18, 216.14], \"box_3d\": [1.68, 1.63, 3.9, -3.41, 2.56, 44.5], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 883, + "data_source": "Mono3DRefer", + "scene_name": "003932", + "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, 201.34, 275.74, 374.0], \"box_3d\": [1.45, 1.64, 4.21, -3.46, 1.66, 3.49], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.37, \"box_2d\": [698.46, 176.37, 829.63, 277.07], \"box_3d\": [1.62, 1.58, 3.89, 2.7, 1.7, 13.65], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [447.76, 184.03, 534.29, 243.79], \"box_3d\": [1.45, 1.67, 4.43, -3.24, 1.78, 20.21], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [665.85, 182.0, 745.55, 239.85], \"box_3d\": [1.47, 1.59, 3.62, 2.57, 1.74, 20.43], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [522.03, 181.35, 558.42, 213.11], \"box_3d\": [1.46, 1.51, 3.24, -3.4, 1.88, 35.22], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 884, + "data_source": "Mono3DRefer", + "scene_name": "003933", + "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\": -0.72, \"box_2d\": [210.03, 186.43, 366.17, 242.54], \"box_3d\": [1.35, 1.6, 3.86, -8.85, 1.76, 20.08], \"ry\": -1.14}, {\"category\": \"Car\", \"angle\": -0.96, \"box_2d\": [449.48, 177.62, 537.04, 217.79], \"box_3d\": [1.49, 1.53, 3.8, -4.63, 1.69, 28.9], \"ry\": -1.11}, {\"category\": \"Car\", \"angle\": 2.54, \"box_2d\": [37.4, 185.09, 206.48, 240.89], \"box_3d\": [1.49, 1.34, 4.25, -14.78, 1.89, 22.07], \"ry\": 1.96}, {\"category\": \"Car\", \"angle\": 2.14, \"box_2d\": [398.01, 172.87, 474.28, 209.17], \"box_3d\": [1.72, 1.53, 4.55, -8.76, 1.75, 36.65], \"ry\": 1.91}, {\"category\": \"Car\", \"angle\": -1.15, \"box_2d\": [578.23, 174.38, 631.24, 202.7], \"box_3d\": [1.49, 1.56, 3.65, -0.27, 1.59, 39.99], \"ry\": -1.15}, {\"category\": \"Car\", \"angle\": -1.32, \"box_2d\": [704.49, 171.7, 729.91, 188.58], \"box_3d\": [1.44, 1.46, 3.16, 9.48, 1.36, 63.76], \"ry\": -1.17}]\n```" + } + ] + }, + { + "id": 885, + "data_source": "Mono3DRefer", + "scene_name": "003952", + "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\": [575.49, 177.67, 619.2, 219.81], \"box_3d\": [1.6, 1.66, 3.55, -0.53, 1.81, 29.43], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.1, \"box_2d\": [149.22, 178.77, 221.49, 206.19], \"box_3d\": [1.43, 1.73, 3.87, -23.47, 1.77, 39.99], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [259.93, 178.66, 307.91, 199.99], \"box_3d\": [1.5, 1.79, 4.5, -24.2, 1.95, 53.66], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [214.09, 178.65, 269.98, 203.37], \"box_3d\": [1.5, 1.62, 4.05, -23.58, 1.89, 46.33], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 886, + "data_source": "Mono3DRefer", + "scene_name": "003953", + "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\": -2.91, \"box_2d\": [380.05, 177.67, 470.78, 212.3], \"box_3d\": [1.49, 1.64, 3.7, -8.36, 1.73, 32.74], \"ry\": 3.13}]\n```" + } + ] + }, + { + "id": 887, + "data_source": "Mono3DRefer", + "scene_name": "003961", + "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\": [292.09, 170.14, 477.41, 288.37], \"box_3d\": [1.7, 1.82, 4.45, -3.72, 1.69, 12.68], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [654.38, 170.09, 695.34, 204.08], \"box_3d\": [1.57, 1.56, 2.62, 3.14, 1.46, 34.9], \"ry\": -1.32}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [619.09, 168.42, 653.68, 188.87], \"box_3d\": [1.43, 1.68, 4.19, 1.96, 1.14, 52.97], \"ry\": 1.82}]\n```" + } + ] + }, + { + "id": 888, + "data_source": "Mono3DRefer", + "scene_name": "003965", + "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\": [615.97, 165.51, 686.94, 230.15], \"box_3d\": [1.46, 1.53, 3.17, 0.92, 1.32, 18.06], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 889, + "data_source": "Mono3DRefer", + "scene_name": "003966", + "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\": [426.51, 180.93, 493.87, 222.76], \"box_3d\": [1.51, 1.81, 4.07, -5.87, 1.85, 28.53], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 890, + "data_source": "Mono3DRefer", + "scene_name": "003990", + "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\": [586.97, 177.48, 673.77, 254.18], \"box_3d\": [1.37, 1.56, 3.54, 0.32, 1.48, 14.83], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [481.17, 170.47, 564.97, 235.87], \"box_3d\": [1.61, 1.69, 4.26, -2.34, 1.58, 20.07], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [610.21, 170.56, 665.68, 222.45], \"box_3d\": [1.53, 1.63, 4.5, 0.9, 1.49, 23.73], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -0.93, \"box_2d\": [1085.36, 135.69, 1241.0, 201.47], \"box_3d\": [1.55, 1.61, 3.64, 14.15, 0.67, 18.23], \"ry\": -0.27}]\n```" + } + ] + }, + { + "id": 891, + "data_source": "Mono3DRefer", + "scene_name": "004005", + "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\": [546.66, 176.89, 566.39, 193.94], \"box_3d\": [1.45, 1.53, 3.98, -4.75, 1.83, 64.21], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [513.76, 176.53, 549.87, 207.66], \"box_3d\": [1.65, 1.56, 3.98, -4.37, 1.87, 40.52], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 892, + "data_source": "Mono3DRefer", + "scene_name": "004038", + "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\": [937.2, 111.11, 1241.0, 374.0], \"box_3d\": [1.79, 1.72, 4.35, 3.67, 1.5, 3.84], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 2.17, \"box_2d\": [0.0, 214.26, 290.9, 374.0], \"box_3d\": [1.45, 1.49, 4.07, -3.93, 1.85, 5.14], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [323.57, 200.48, 459.44, 287.48], \"box_3d\": [1.27, 1.54, 3.58, -3.91, 1.84, 13.3], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [412.23, 181.12, 500.77, 249.07], \"box_3d\": [1.63, 1.65, 3.91, -4.08, 1.87, 19.53], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [606.21, 177.5, 641.44, 209.28], \"box_3d\": [1.46, 1.53, 3.17, 0.6, 1.7, 35.11], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 893, + "data_source": "Mono3DRefer", + "scene_name": "004046", + "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\": [220.94, 177.53, 276.67, 200.53], \"box_3d\": [1.43, 1.73, 3.87, -23.63, 1.75, 47.3], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [300.08, 177.07, 339.39, 195.75], \"box_3d\": [1.5, 1.79, 4.5, -24.48, 1.88, 60.96], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [267.31, 178.08, 311.77, 199.28], \"box_3d\": [1.5, 1.62, 4.05, -23.8, 1.9, 53.67], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [571.07, 178.28, 618.25, 223.78], \"box_3d\": [1.6, 1.66, 3.55, -0.59, 1.82, 27.4], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 894, + "data_source": "Mono3DRefer", + "scene_name": "004050", + "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\": -2.93, \"box_2d\": [406.33, 177.94, 486.72, 208.89], \"box_3d\": [1.49, 1.64, 3.7, -8.26, 1.77, 36.53], \"ry\": 3.13}]\n```" + } + ] + }, + { + "id": 895, + "data_source": "Mono3DRefer", + "scene_name": "004135", + "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\": [182.71, 193.4, 367.25, 287.68], \"box_3d\": [1.56, 1.59, 3.69, -6.52, 2.01, 14.4], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [320.0, 176.11, 445.98, 258.25], \"box_3d\": [1.93, 1.59, 4.01, -5.88, 2.04, 19.08], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [713.24, 180.33, 786.08, 235.57], \"box_3d\": [1.58, 1.67, 3.84, 4.28, 1.83, 22.8], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [659.18, 181.59, 689.9, 201.74], \"box_3d\": [1.53, 1.67, 3.78, 5.15, 2.24, 57.42], \"ry\": 1.87}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [719.93, 167.51, 763.52, 225.66], \"box_3d\": [2.05, 1.5, 3.83, 4.96, 1.89, 27.5], \"ry\": -1.4}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [686.51, 181.6, 717.1, 206.96], \"box_3d\": [1.54, 1.63, 3.67, 5.92, 2.12, 46.42], \"ry\": -1.36}]\n```" + } + ] + }, + { + "id": 896, + "data_source": "Mono3DRefer", + "scene_name": "004151", + "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\": [552.87, 181.15, 576.9, 200.28], \"box_3d\": [1.52, 1.73, 4.28, -3.76, 2.23, 60.38], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 897, + "data_source": "Mono3DRefer", + "scene_name": "004158", + "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\": -1.08, \"box_2d\": [0.0, 190.3, 388.88, 374.0], \"box_3d\": [1.47, 1.6, 3.66, -2.96, 1.62, 5.1], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [481.73, 169.08, 553.51, 223.29], \"box_3d\": [1.7, 1.63, 4.08, -3.12, 1.61, 24.87], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [693.3, 173.49, 811.02, 275.24], \"box_3d\": [1.59, 1.59, 2.47, 2.34, 1.62, 12.6], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [676.39, 182.07, 752.58, 245.55], \"box_3d\": [1.37, 1.59, 3.22, 2.39, 1.61, 17.43], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [521.85, 176.92, 569.67, 210.1], \"box_3d\": [1.4, 1.67, 3.72, -2.88, 1.6, 32.69], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.54, \"box_2d\": [632.14, 173.35, 657.55, 196.01], \"box_3d\": [1.49, 1.61, 3.74, 2.35, 1.55, 49.71], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -2.77, \"box_2d\": [228.43, 168.31, 425.2, 234.71], \"box_3d\": [1.59, 1.63, 4.43, -7.24, 1.51, 18.61], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 898, + "data_source": "Mono3DRefer", + "scene_name": "004159", + "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\": 1.52, \"box_2d\": [370.48, 194.0, 409.03, 228.63], \"box_3d\": [1.65, 1.75, 3.39, -11.61, 2.79, 37.81], \"ry\": 1.22}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [0.0, 204.64, 392.1, 374.0], \"box_3d\": [1.47, 1.7, 4.39, -2.9, 1.76, 4.8], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 899, + "data_source": "Mono3DRefer", + "scene_name": "004174", + "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\": [433.8, 178.02, 541.95, 258.83], \"box_3d\": [1.55, 1.68, 4.42, -2.62, 1.68, 16.2], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [671.22, 176.1, 738.45, 229.72], \"box_3d\": [1.6, 1.53, 4.18, 3.0, 1.72, 23.8], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [658.16, 174.6, 711.45, 216.13], \"box_3d\": [1.56, 1.57, 3.98, 2.95, 1.66, 29.47], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 900, + "data_source": "Mono3DRefer", + "scene_name": "004176", + "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\": [513.56, 182.58, 552.82, 214.39], \"box_3d\": [1.45, 1.53, 3.98, -3.77, 1.95, 35.61], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.88, \"box_2d\": [293.91, 183.15, 463.17, 299.47], \"box_3d\": [1.65, 1.56, 3.98, -3.79, 1.84, 12.38], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 901, + "data_source": "Mono3DRefer", + "scene_name": "004184", + "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\": -2.96, \"box_2d\": [434.24, 164.98, 530.09, 200.84], \"box_3d\": [1.74, 1.75, 4.57, -6.51, 1.38, 36.87], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -2.85, \"box_2d\": [339.49, 165.49, 476.14, 229.98], \"box_3d\": [1.86, 1.69, 3.69, -6.16, 1.68, 22.11], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": -2.9, \"box_2d\": [376.78, 170.11, 498.54, 218.25], \"box_3d\": [1.68, 1.69, 4.07, -6.33, 1.61, 26.63], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [784.83, 150.27, 840.89, 189.51], \"box_3d\": [2.04, 1.99, 4.82, 11.2, 0.89, 40.26], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -2.94, \"box_2d\": [412.89, 172.94, 514.1, 208.41], \"box_3d\": [1.48, 1.56, 4.12, -6.42, 1.51, 31.71], \"ry\": -3.14}]\n```" + } + ] + }, + { + "id": 902, + "data_source": "Mono3DRefer", + "scene_name": "004201", + "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\": [294.97, 192.86, 476.61, 305.16], \"box_3d\": [1.44, 1.72, 4.14, -3.49, 1.82, 11.92], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 903, + "data_source": "Mono3DRefer", + "scene_name": "004203", + "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\": [427.52, 188.08, 512.98, 269.27], \"box_3d\": [1.65, 1.75, 3.39, -3.21, 2.03, 16.9], \"ry\": 1.44}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [471.21, 190.36, 534.34, 243.35], \"box_3d\": [1.57, 1.54, 4.01, -3.57, 2.2, 24.35], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 904, + "data_source": "Mono3DRefer", + "scene_name": "004208", + "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\": 2.25, \"box_2d\": [0.0, 201.94, 275.46, 374.0], \"box_3d\": [1.7, 1.43, 3.2, -3.22, 1.9, 3.71], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.53, \"box_2d\": [521.11, 180.48, 547.5, 206.01], \"box_3d\": [1.68, 1.63, 3.9, -5.31, 2.22, 50.08], \"ry\": 1.42}]\n```" + } + ] + }, + { + "id": 905, + "data_source": "Mono3DRefer", + "scene_name": "004225", + "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, 194.05, 442.7, 374.0], \"box_3d\": [1.47, 1.59, 3.96, -2.71, 1.69, 5.93], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [580.36, 184.76, 678.78, 275.78], \"box_3d\": [1.57, 1.73, 4.15, 0.36, 1.84, 14.85], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 906, + "data_source": "Mono3DRefer", + "scene_name": "004230", + "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\": [218.41, 195.66, 455.59, 345.71], \"box_3d\": [1.45, 1.53, 3.98, -3.3, 1.8, 9.45], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 907, + "data_source": "Mono3DRefer", + "scene_name": "004231", + "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\": -0.34, \"box_2d\": [530.42, 186.1, 927.71, 329.15], \"box_3d\": [1.45, 1.68, 4.53, 1.32, 1.65, 8.92], \"ry\": -0.2}]\n```" + } + ] + }, + { + "id": 908, + "data_source": "Mono3DRefer", + "scene_name": "004238", + "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\": [257.77, 182.97, 493.02, 353.5], \"box_3d\": [1.63, 1.6, 3.73, -2.63, 1.77, 8.86], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.95, \"box_2d\": [759.16, 187.96, 1072.01, 374.0], \"box_3d\": [1.59, 1.49, 3.34, 2.56, 1.76, 6.98], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [681.51, 189.86, 823.88, 299.0], \"box_3d\": [1.54, 1.6, 3.52, 2.23, 1.86, 12.36], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [409.61, 182.68, 515.55, 273.73], \"box_3d\": [1.54, 1.5, 3.48, -2.81, 1.75, 14.17], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [453.43, 185.87, 534.46, 246.61], \"box_3d\": [1.44, 1.63, 3.32, -3.06, 1.81, 19.32], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [660.65, 182.87, 745.62, 248.16], \"box_3d\": [1.55, 1.55, 3.27, 2.33, 1.83, 19.08], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [638.58, 182.83, 700.65, 232.15], \"box_3d\": [1.48, 1.6, 3.79, 1.87, 1.83, 24.03], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [519.14, 181.66, 560.96, 216.57], \"box_3d\": [1.56, 1.55, 3.64, -3.32, 1.99, 34.46], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [539.84, 172.8, 576.4, 209.33], \"box_3d\": [1.91, 1.66, 4.22, -2.86, 1.93, 40.09], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [556.33, 176.23, 589.86, 206.51], \"box_3d\": [1.83, 1.69, 4.28, -2.33, 2.06, 46.03], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 909, + "data_source": "Mono3DRefer", + "scene_name": "004266", + "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 (-�� 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\": [519.87, 183.06, 560.72, 223.19], \"box_3d\": [1.97, 1.87, 4.53, -3.67, 2.53, 38.37], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [554.26, 186.14, 575.67, 206.99], \"box_3d\": [1.7, 1.53, 3.82, -3.88, 2.88, 62.46], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 910, + "data_source": "Mono3DRefer", + "scene_name": "004294", + "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\": 1.38, \"box_2d\": [701.83, 189.81, 845.31, 288.01], \"box_3d\": [1.44, 1.64, 4.5, 2.77, 1.8, 13.4], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [478.56, 176.52, 540.77, 227.24], \"box_3d\": [1.46, 1.51, 3.24, -3.11, 1.59, 22.6], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [671.08, 181.83, 725.28, 221.68], \"box_3d\": [1.38, 1.59, 4.19, 3.24, 1.73, 27.47], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [651.89, 176.39, 678.87, 200.49], \"box_3d\": [1.51, 1.56, 3.81, 3.59, 1.76, 47.53], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [128.39, 187.11, 470.85, 374.0], \"box_3d\": [1.45, 1.67, 4.43, -2.92, 1.64, 7.85], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [762.51, 194.43, 1050.65, 374.0], \"box_3d\": [1.47, 1.59, 3.62, 2.86, 1.75, 7.93], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [365.78, 175.93, 502.65, 269.03], \"box_3d\": [1.56, 1.68, 3.69, -3.29, 1.64, 14.04], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 911, + "data_source": "Mono3DRefer", + "scene_name": "004311", + "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\": [774.65, 165.16, 1178.03, 374.0], \"box_3d\": [1.49, 1.64, 4.17, 2.7, 1.47, 6.57], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -2.41, \"box_2d\": [0.0, 179.65, 192.11, 288.12], \"box_3d\": [1.47, 1.58, 3.55, -8.44, 1.59, 10.66], \"ry\": -3.07}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [494.14, 166.38, 566.79, 229.9], \"box_3d\": [1.6, 1.75, 3.89, -2.18, 1.46, 20.32], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [685.74, 167.42, 783.09, 235.94], \"box_3d\": [1.59, 1.64, 4.03, 3.1, 1.49, 18.96], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [676.2, 167.34, 740.21, 214.63], \"box_3d\": [1.5, 1.8, 4.5, 3.32, 1.36, 25.4], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.45, \"box_2d\": [552.73, 168.59, 594.09, 201.55], \"box_3d\": [1.46, 1.56, 3.21, -1.71, 1.3, 33.96], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [662.14, 159.9, 704.46, 199.4], \"box_3d\": [1.83, 1.75, 4.52, 3.55, 1.25, 35.92], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 912, + "data_source": "Mono3DRefer", + "scene_name": "004316", + "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\": [538.5, 179.12, 585.35, 220.93], \"box_3d\": [1.41, 1.59, 4.47, -1.77, 1.66, 26.96], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 913, + "data_source": "Mono3DRefer", + "scene_name": "004325", + "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\": -2.51, \"box_2d\": [0.0, 213.49, 187.08, 365.75], \"box_3d\": [1.42, 1.62, 3.5, -6.93, 1.93, 7.92], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": -2.85, \"box_2d\": [279.58, 190.55, 430.22, 246.29], \"box_3d\": [1.41, 1.54, 3.6, -6.97, 1.92, 19.83], \"ry\": 3.1}]\n```" + } + ] + }, + { + "id": 914, + "data_source": "Mono3DRefer", + "scene_name": "004342", + "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\": -1.7, \"box_2d\": [550.33, 176.78, 596.93, 211.85], \"box_3d\": [1.6, 1.76, 3.84, -1.75, 1.21, 35.15], \"ry\": -1.75}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [504.57, 182.06, 538.4, 203.37], \"box_3d\": [1.39, 1.56, 3.45, -5.95, 1.18, 49.18], \"ry\": -1.91}]\n```" + } + ] + }, + { + "id": 915, + "data_source": "Mono3DRefer", + "scene_name": "004345", + "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\": [559.18, 183.63, 603.73, 214.44], \"box_3d\": [1.5, 1.7, 3.77, -1.47, 2.09, 37.89], \"ry\": 1.71}]\n```" + } + ] + }, + { + "id": 916, + "data_source": "Mono3DRefer", + "scene_name": "004349", + "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\": -0.06, \"box_2d\": [351.66, 187.77, 640.83, 316.96], \"box_3d\": [1.46, 1.53, 3.5, -1.42, 1.58, 9.56], \"ry\": -0.21}]\n```" + } + ] + }, + { + "id": 917, + "data_source": "Mono3DRefer", + "scene_name": "004352", + "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\": [652.73, 177.07, 677.69, 199.43], \"box_3d\": [1.51, 1.56, 3.81, 3.85, 1.82, 51.07], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.05, \"box_2d\": [849.37, 184.13, 1241.0, 374.0], \"box_3d\": [1.62, 1.58, 3.89, 2.93, 1.71, 4.68], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [315.35, 185.05, 507.83, 302.63], \"box_3d\": [1.45, 1.67, 4.43, -2.89, 1.67, 11.37], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [723.58, 189.5, 891.99, 303.36], \"box_3d\": [1.47, 1.59, 3.62, 2.91, 1.76, 11.52], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [424.02, 178.64, 526.0, 251.01], \"box_3d\": [1.56, 1.68, 3.69, -3.19, 1.71, 17.53], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.42, \"box_2d\": [686.97, 185.58, 790.42, 258.81], \"box_3d\": [1.44, 1.64, 4.5, 2.82, 1.77, 16.95], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [503.47, 178.49, 554.5, 221.87], \"box_3d\": [1.46, 1.51, 3.24, -2.92, 1.68, 26.16], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.48, \"box_2d\": [668.88, 181.52, 715.45, 216.33], \"box_3d\": [1.38, 1.59, 4.19, 3.44, 1.76, 31.11], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 918, + "data_source": "Mono3DRefer", + "scene_name": "004354", + "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\": [555.36, 178.31, 578.49, 195.76], \"box_3d\": [1.45, 1.77, 4.04, -3.73, 1.94, 62.78], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 919, + "data_source": "Mono3DRefer", + "scene_name": "004355", + "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\": [616.8, 177.5, 685.37, 237.87], \"box_3d\": [1.37, 1.56, 3.54, 0.96, 1.51, 18.33], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [529.82, 167.55, 597.42, 221.13], \"box_3d\": [1.61, 1.69, 4.26, -1.48, 1.48, 24.01], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [635.85, 167.11, 683.29, 211.42], \"box_3d\": [1.53, 1.63, 4.5, 1.82, 1.36, 27.42], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -0.94, \"box_2d\": [1129.02, 135.24, 1241.0, 198.09], \"box_3d\": [1.48, 1.6, 3.84, 15.33, 0.59, 18.17], \"ry\": -0.24}, {\"category\": \"Car\", \"angle\": -0.84, \"box_2d\": [1044.14, 137.89, 1194.51, 193.27], \"box_3d\": [1.55, 1.61, 3.64, 15.01, 0.57, 21.36], \"ry\": -0.23}]\n```" + } + ] + }, + { + "id": 920, + "data_source": "Mono3DRefer", + "scene_name": "004356", + "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\": [348.02, 181.41, 494.37, 306.97], \"box_3d\": [1.65, 1.75, 3.39, -2.84, 1.79, 11.36], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [446.87, 183.44, 532.45, 252.16], \"box_3d\": [1.57, 1.54, 4.01, -3.06, 1.86, 18.82], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 921, + "data_source": "Mono3DRefer", + "scene_name": "004357", + "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\": [522.72, 176.2, 554.99, 205.42], \"box_3d\": [1.7, 1.72, 4.11, -4.37, 1.93, 44.5], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 922, + "data_source": "Mono3DRefer", + "scene_name": "004371", + "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\": [714.3, 184.63, 851.33, 284.68], \"box_3d\": [1.51, 1.69, 4.04, 3.29, 1.75, 13.34], \"ry\": -1.14}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [616.22, 184.59, 732.26, 254.93], \"box_3d\": [1.46, 1.58, 3.93, 1.37, 1.76, 17.4], \"ry\": -1.81}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [275.62, 184.17, 374.83, 250.27], \"box_3d\": [1.5, 1.68, 4.03, -7.34, 1.81, 18.85], \"ry\": 1.38}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [568.08, 178.75, 641.39, 231.16], \"box_3d\": [1.6, 1.7, 3.56, -0.29, 1.81, 24.12], \"ry\": -1.8}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [541.75, 180.94, 606.06, 222.38], \"box_3d\": [1.52, 1.73, 3.89, -1.56, 1.86, 28.95], \"ry\": -1.85}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [523.6, 183.33, 567.71, 214.35], \"box_3d\": [1.37, 1.51, 3.49, -3.12, 1.87, 34.15], \"ry\": -1.83}]\n```" + } + ] + }, + { + "id": 923, + "data_source": "Mono3DRefer", + "scene_name": "004373", + "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\": [369.31, 181.38, 506.72, 269.29], \"box_3d\": [1.5, 1.7, 3.77, -3.3, 1.69, 14.39], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -1.52, \"box_2d\": [525.9, 171.16, 553.8, 197.67], \"box_3d\": [1.57, 1.55, 3.32, -4.35, 1.49, 44.83], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 924, + "data_source": "Mono3DRefer", + "scene_name": "004382", + "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\": [567.13, 183.02, 618.01, 232.61], \"box_3d\": [1.61, 1.66, 3.2, -0.63, 1.98, 25.44], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [376.72, 195.85, 445.51, 240.22], \"box_3d\": [1.4, 1.51, 3.7, -7.16, 2.28, 26.15], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [504.41, 188.57, 546.99, 220.58], \"box_3d\": [1.46, 1.66, 4.05, -4.22, 2.29, 36.38], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 925, + "data_source": "Mono3DRefer", + "scene_name": "004394", + "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\": [514.13, 182.3, 559.61, 214.37], \"box_3d\": [1.45, 1.77, 4.04, -3.55, 1.93, 35.34], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 926, + "data_source": "Mono3DRefer", + "scene_name": "004395", + "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\": [433.99, 201.16, 529.68, 274.15], \"box_3d\": [1.42, 1.66, 4.11, -3.01, 2.17, 17.46], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [563.6, 178.05, 586.59, 201.68], \"box_3d\": [1.97, 1.87, 4.53, -3.03, 2.44, 63.07], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 927, + "data_source": "Mono3DRefer", + "scene_name": "004399", + "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\": [453.62, 189.21, 509.4, 242.1], \"box_3d\": [1.65, 1.75, 3.39, -4.43, 2.24, 25.05], \"ry\": 1.44}]\n```" + } + ] + }, + { + "id": 928, + "data_source": "Mono3DRefer", + "scene_name": "004432", + "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\": -0.56, \"box_2d\": [388.21, 187.93, 612.46, 284.43], \"box_3d\": [1.41, 1.62, 3.6, -1.9, 1.71, 12.77], \"ry\": -0.7}, {\"category\": \"Car\", \"angle\": -0.52, \"box_2d\": [294.55, 170.84, 533.92, 271.11], \"box_3d\": [1.77, 1.96, 4.39, -3.98, 1.75, 14.99], \"ry\": -0.78}, {\"category\": \"Car\", \"angle\": 1.41, \"box_2d\": [107.76, 189.87, 172.65, 226.0], \"box_3d\": [1.37, 1.6, 4.5, -19.87, 2.11, 30.37], \"ry\": 0.84}]\n```" + } + ] + }, + { + "id": 929, + "data_source": "Mono3DRefer", + "scene_name": "004443", + "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\": 1.82, \"box_2d\": [270.92, 180.48, 437.5, 290.97], \"box_3d\": [1.57, 1.67, 4.14, -4.07, 1.56, 12.46], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 930, + "data_source": "Mono3DRefer", + "scene_name": "004446", + "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\": [497.91, 183.9, 547.28, 222.52], \"box_3d\": [1.45, 1.53, 3.98, -3.58, 1.93, 29.82], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 2.06, \"box_2d\": [0.0, 186.33, 378.73, 374.0], \"box_3d\": [1.65, 1.56, 3.98, -3.73, 1.8, 6.96], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 931, + "data_source": "Mono3DRefer", + "scene_name": "004453", + "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\": [556.07, 179.69, 607.06, 212.24], \"box_3d\": [1.44, 1.68, 4.39, -1.31, 1.77, 34.34], \"ry\": 1.71}]\n```" + } + ] + }, + { + "id": 932, + "data_source": "Mono3DRefer", + "scene_name": "004457", + "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\": [536.91, 178.01, 566.42, 205.44], \"box_3d\": [1.7, 1.53, 3.82, -3.8, 2.06, 47.14], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [458.48, 170.55, 537.73, 239.7], \"box_3d\": [1.97, 1.87, 4.53, -3.49, 1.94, 23.05], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 933, + "data_source": "Mono3DRefer", + "scene_name": "004464", + "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\": [500.83, 174.96, 553.53, 224.44], \"box_3d\": [1.97, 1.87, 4.53, -3.54, 2.09, 31.31], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [548.51, 180.06, 573.01, 203.23], \"box_3d\": [1.7, 1.53, 3.82, -3.77, 2.27, 55.45], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 934, + "data_source": "Mono3DRefer", + "scene_name": "004466", + "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, 203.55, 134.13, 356.05], \"box_3d\": [1.48, 1.61, 3.61, -7.04, 1.87, 7.56], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [611.29, 178.89, 634.99, 201.43], \"box_3d\": [1.54, 1.63, 3.67, 0.91, 1.99, 51.82], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [466.05, 182.8, 514.69, 211.97], \"box_3d\": [1.56, 1.59, 3.69, -6.78, 2.14, 41.07], \"ry\": 1.74}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [491.82, 174.86, 534.1, 206.91], \"box_3d\": [1.93, 1.59, 4.01, -6.13, 2.08, 45.81], \"ry\": 1.72}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [656.0, 175.32, 681.62, 199.52], \"box_3d\": [1.58, 1.67, 3.84, 3.99, 1.77, 49.58], \"ry\": -1.51}]\n```" + } + ] + }, + { + "id": 935, + "data_source": "Mono3DRefer", + "scene_name": "004475", + "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\": -1.63, \"box_2d\": [651.7, 168.28, 682.85, 194.29], \"box_3d\": [1.6, 1.76, 3.84, 3.8, 0.54, 46.6], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [586.44, 180.86, 656.14, 243.0], \"box_3d\": [1.39, 1.56, 3.45, 0.29, 1.29, 17.97], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [585.35, 176.49, 636.9, 220.53], \"box_3d\": [1.41, 1.66, 3.76, 0.04, 1.12, 25.18], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 936, + "data_source": "Mono3DRefer", + "scene_name": "004497", + "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\": 0.46, \"box_2d\": [205.36, 190.23, 388.81, 242.34], \"box_3d\": [1.36, 1.68, 4.49, -8.83, 1.89, 20.45], \"ry\": 0.06}]\n```" + } + ] + }, + { + "id": 937, + "data_source": "Mono3DRefer", + "scene_name": "004523", + "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\": [493.39, 178.96, 536.26, 214.38], \"box_3d\": [1.7, 1.72, 4.11, -4.86, 2.03, 37.07], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 938, + "data_source": "Mono3DRefer", + "scene_name": "004535", + "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\": [548.6, 181.36, 574.6, 202.02], \"box_3d\": [1.52, 1.73, 4.28, -3.74, 2.2, 56.11], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 939, + "data_source": "Mono3DRefer", + "scene_name": "004540", + "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\": [365.28, 187.66, 520.17, 301.14], \"box_3d\": [1.55, 1.68, 4.42, -2.7, 1.84, 12.46], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [677.26, 182.17, 760.22, 247.22], \"box_3d\": [1.6, 1.53, 4.18, 2.87, 1.87, 20.09], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [660.23, 182.38, 722.89, 230.65], \"box_3d\": [1.56, 1.57, 3.98, 2.8, 1.92, 25.79], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 1.42, \"box_2d\": [666.59, 174.51, 694.56, 196.51], \"box_3d\": [1.79, 1.72, 4.35, 5.96, 1.96, 61.43], \"ry\": 1.52}]\n```" + } + ] + }, + { + "id": 940, + "data_source": "Mono3DRefer", + "scene_name": "004550", + "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, 201.81, 163.42, 271.82], \"box_3d\": [1.35, 1.5, 3.64, -12.39, 2.1, 17.03], \"ry\": 1.52}]\n```" + } + ] + }, + { + "id": 941, + "data_source": "Mono3DRefer", + "scene_name": "004554", + "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\": -2.83, \"box_2d\": [316.52, 174.35, 465.22, 244.07], \"box_3d\": [1.86, 1.69, 3.69, -6.18, 1.93, 20.49], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": -2.88, \"box_2d\": [360.82, 179.81, 490.98, 231.06], \"box_3d\": [1.68, 1.69, 4.07, -6.36, 1.94, 25.06], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [791.31, 160.92, 851.6, 201.86], \"box_3d\": [2.04, 1.99, 4.82, 11.21, 1.47, 38.67], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -2.93, \"box_2d\": [401.52, 182.85, 508.54, 220.41], \"box_3d\": [1.48, 1.56, 4.12, -6.44, 1.92, 30.1], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -2.95, \"box_2d\": [426.71, 176.34, 527.14, 213.87], \"box_3d\": [1.74, 1.75, 4.57, -6.48, 1.94, 35.27], \"ry\": -3.13}]\n```" + } + ] + }, + { + "id": 942, + "data_source": "Mono3DRefer", + "scene_name": "004559", + "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\": 1.53, \"box_2d\": [691.43, 182.13, 834.56, 311.59], \"box_3d\": [1.57, 1.73, 4.15, 2.15, 1.73, 11.02], \"ry\": 1.72}]\n```" + } + ] + }, + { + "id": 943, + "data_source": "Mono3DRefer", + "scene_name": "004566", + "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\": [593.37, 197.6, 623.38, 227.37], \"box_3d\": [1.5, 1.62, 4.19, -0.12, 2.98, 41.33], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 944, + "data_source": "Mono3DRefer", + "scene_name": "004587", + "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\": [553.38, 185.59, 722.91, 345.88], \"box_3d\": [1.49, 1.6, 3.83, 0.22, 1.66, 8.8], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.91, \"box_2d\": [0.0, 181.49, 318.09, 374.0], \"box_3d\": [1.59, 1.65, 4.04, -3.31, 1.65, 3.98], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.38, \"box_2d\": [415.41, 179.57, 516.21, 244.37], \"box_3d\": [1.46, 1.73, 4.19, -3.61, 1.65, 18.57], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [694.09, 177.37, 755.45, 218.02], \"box_3d\": [1.42, 1.66, 4.18, 4.28, 1.62, 27.69], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 945, + "data_source": "Mono3DRefer", + "scene_name": "004592", + "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\": [581.75, 178.79, 607.51, 198.98], \"box_3d\": [1.42, 1.66, 4.11, -1.12, 1.87, 53.44], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -0.11, \"box_2d\": [996.08, 123.5, 1241.0, 244.39], \"box_3d\": [1.66, 1.15, 3.39, 7.78, 1.0, 10.99], \"ry\": 0.5}, {\"category\": \"Car\", \"angle\": -1.3, \"box_2d\": [364.46, 177.98, 527.12, 291.17], \"box_3d\": [1.77, 1.75, 4.67, -2.9, 1.88, 13.66], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [506.41, 178.06, 572.52, 229.59], \"box_3d\": [1.6, 1.68, 3.94, -2.35, 1.79, 24.52], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 946, + "data_source": "Mono3DRefer", + "scene_name": "004613", + "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\": [524.74, 180.94, 557.57, 207.87], \"box_3d\": [1.45, 1.53, 3.98, -3.94, 1.93, 41.46], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [400.06, 180.98, 501.21, 256.34], \"box_3d\": [1.65, 1.56, 3.98, -3.86, 1.86, 17.93], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 947, + "data_source": "Mono3DRefer", + "scene_name": "004618", + "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\": [382.2, 177.57, 492.51, 252.79], \"box_3d\": [1.5, 1.62, 4.19, -3.87, 1.63, 16.68], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 948, + "data_source": "Mono3DRefer", + "scene_name": "004636", + "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\": [0.0, 187.01, 441.49, 374.0], \"box_3d\": [1.45, 1.67, 4.43, -2.92, 1.6, 6.12], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -2.02, \"box_2d\": [796.11, 202.2, 1233.32, 374.0], \"box_3d\": [1.47, 1.59, 3.62, 2.84, 1.78, 6.11], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [321.46, 175.38, 487.47, 285.08], \"box_3d\": [1.56, 1.68, 3.69, -3.31, 1.62, 12.19], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.35, \"box_2d\": [711.76, 193.16, 887.55, 311.17], \"box_3d\": [1.44, 1.64, 4.5, 2.75, 1.82, 11.66], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [464.26, 174.97, 533.24, 230.42], \"box_3d\": [1.46, 1.51, 3.24, -3.17, 1.54, 20.81], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [673.15, 180.64, 732.21, 223.35], \"box_3d\": [1.38, 1.59, 4.19, 3.17, 1.66, 25.65], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [504.23, 177.47, 556.51, 215.92], \"box_3d\": [1.38, 1.69, 3.74, -3.06, 1.57, 28.04], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [651.41, 175.54, 679.51, 200.62], \"box_3d\": [1.51, 1.56, 3.81, 3.46, 1.7, 45.76], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 949, + "data_source": "Mono3DRefer", + "scene_name": "004651", + "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\": [646.59, 173.54, 787.36, 300.47], \"box_3d\": [1.46, 1.53, 3.17, 1.27, 1.49, 9.96], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -2.68, \"box_2d\": [248.19, 175.72, 393.66, 240.84], \"box_3d\": [1.59, 1.45, 3.15, -7.43, 1.68, 18.57], \"ry\": -3.06}]\n```" + } + ] + }, + { + "id": 950, + "data_source": "Mono3DRefer", + "scene_name": "004654", + "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\": -1.49, \"box_2d\": [693.15, 169.2, 722.86, 193.97], \"box_3d\": [1.54, 1.63, 3.67, 6.43, 1.34, 47.25], \"ry\": -1.36}, {\"category\": \"Car\", \"angle\": 2.31, \"box_2d\": [0.0, 150.57, 223.75, 355.59], \"box_3d\": [1.93, 1.59, 4.01, -6.47, 1.75, 8.24], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [744.85, 170.3, 906.16, 280.52], \"box_3d\": [1.58, 1.67, 3.84, 3.44, 1.57, 12.38], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [587.74, 167.55, 638.9, 202.17], \"box_3d\": [1.53, 1.67, 3.78, 0.18, 1.32, 33.97], \"ry\": 1.78}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [738.23, 149.19, 828.63, 247.6], \"box_3d\": [2.05, 1.5, 3.83, 3.94, 1.59, 17.06], \"ry\": -1.48}]\n```" + } + ] + }, + { + "id": 951, + "data_source": "Mono3DRefer", + "scene_name": "004655", + "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\": [646.34, 171.76, 709.47, 217.89], \"box_3d\": [1.41, 1.58, 4.36, 2.17, 1.41, 24.48], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 952, + "data_source": "Mono3DRefer", + "scene_name": "004656", + "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\": 1.91, \"box_2d\": [158.48, 196.01, 445.7, 366.46], \"box_3d\": [1.45, 1.77, 4.04, -3.33, 1.78, 8.62], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 953, + "data_source": "Mono3DRefer", + "scene_name": "004717", + "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\": [673.67, 181.72, 838.37, 325.21], \"box_3d\": [1.46, 1.53, 3.17, 1.59, 1.58, 9.01], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -2.65, \"box_2d\": [247.28, 182.87, 399.57, 251.47], \"box_3d\": [1.59, 1.45, 3.15, -7.01, 1.85, 17.69], \"ry\": -3.02}]\n```" + } + ] + }, + { + "id": 954, + "data_source": "Mono3DRefer", + "scene_name": "004727", + "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\": [255.36, 178.9, 479.5, 356.53], \"box_3d\": [1.65, 1.75, 3.39, -2.64, 1.73, 8.53], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [428.19, 181.65, 531.67, 263.45], \"box_3d\": [1.57, 1.54, 4.01, -2.79, 1.78, 16.04], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 955, + "data_source": "Mono3DRefer", + "scene_name": "004741", + "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\": [448.33, 196.11, 520.26, 266.37], \"box_3d\": [1.65, 1.75, 3.39, -3.4, 2.33, 19.66], \"ry\": 1.43}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [479.14, 195.63, 534.21, 243.69], \"box_3d\": [1.57, 1.54, 4.01, -3.84, 2.48, 27.09], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 956, + "data_source": "Mono3DRefer", + "scene_name": "004751", + "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\": [10.44, 184.64, 339.19, 364.34], \"box_3d\": [1.6, 1.66, 4.33, -4.85, 1.76, 8.8], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 2.45, \"box_2d\": [970.41, 143.85, 1241.0, 320.97], \"box_3d\": [1.71, 1.67, 3.7, 6.2, 1.43, 7.93], \"ry\": 3.09}]\n```" + } + ] + }, + { + "id": 957, + "data_source": "Mono3DRefer", + "scene_name": "004803", + "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\": [0.0, 158.49, 360.61, 374.0], \"box_3d\": [1.97, 1.87, 4.53, -3.33, 1.95, 4.6], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [314.86, 206.9, 477.51, 318.14], \"box_3d\": [1.47, 1.62, 3.79, -3.52, 2.14, 12.43], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [495.4, 194.63, 548.11, 243.38], \"box_3d\": [1.7, 1.53, 3.82, -3.45, 2.61, 28.47], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [534.94, 194.32, 567.46, 224.82], \"box_3d\": [1.5, 1.53, 3.38, -3.18, 2.71, 39.18], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [561.99, 192.96, 596.92, 215.6], \"box_3d\": [1.56, 1.56, 3.6, -2.26, 3.1, 53.92], \"ry\": 1.84}]\n```" + } + ] + }, + { + "id": 958, + "data_source": "Mono3DRefer", + "scene_name": "004805", + "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\": 1.75, \"box_2d\": [512.54, 174.61, 553.89, 200.31], \"box_3d\": [1.42, 1.78, 3.62, -3.93, 1.04, 42.03], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 959, + "data_source": "Mono3DRefer", + "scene_name": "004809", + "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\": [407.79, 182.47, 489.89, 218.71], \"box_3d\": [1.42, 1.67, 4.53, -6.88, 1.86, 31.15], \"ry\": 1.79}, {\"category\": \"Car\", \"angle\": -1.06, \"box_2d\": [693.65, 169.64, 746.99, 195.62], \"box_3d\": [1.54, 1.63, 3.74, 6.85, 1.36, 44.72], \"ry\": -0.91}, {\"category\": \"Car\", \"angle\": 2.35, \"box_2d\": [0.0, 189.5, 153.05, 260.81], \"box_3d\": [1.45, 1.5, 4.53, -13.46, 1.89, 17.38], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [628.51, 174.33, 697.59, 239.23], \"box_3d\": [1.56, 1.65, 3.69, 1.4, 1.62, 19.3], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -1.23, \"box_2d\": [869.97, 172.32, 1143.38, 329.83], \"box_3d\": [1.39, 1.61, 3.65, 4.58, 1.4, 8.19], \"ry\": -0.74}, {\"category\": \"Car\", \"angle\": 2.33, \"box_2d\": [0.0, 199.81, 221.51, 374.0], \"box_3d\": [1.45, 1.84, 4.59, -6.27, 1.79, 7.3], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [508.06, 171.61, 564.95, 213.73], \"box_3d\": [1.76, 1.58, 3.68, -3.24, 1.73, 32.13], \"ry\": 1.74}, {\"category\": \"Car\", \"angle\": 2.19, \"box_2d\": [157.26, 184.0, 323.72, 254.77], \"box_3d\": [1.56, 1.62, 4.19, -9.25, 1.87, 18.41], \"ry\": 1.73}]\n```" + } + ] + }, + { + "id": 960, + "data_source": "Mono3DRefer", + "scene_name": "004820", + "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\": [305.31, 196.47, 462.08, 312.77], \"box_3d\": [1.5, 1.53, 3.38, -3.5, 1.93, 11.6], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [409.77, 189.0, 502.26, 257.82], \"box_3d\": [1.52, 1.54, 3.56, -3.83, 1.95, 18.27], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [481.28, 180.2, 554.86, 228.11], \"box_3d\": [1.56, 1.56, 3.6, -3.2, 1.83, 25.48], \"ry\": 1.75}]\n```" + } + ] + }, + { + "id": 961, + "data_source": "Mono3DRefer", + "scene_name": "004829", + "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\": [514.99, 181.35, 570.98, 219.34], \"box_3d\": [1.5, 1.7, 3.77, -2.83, 1.88, 30.86], \"ry\": 1.67}]\n```" + } + ] + }, + { + "id": 962, + "data_source": "Mono3DRefer", + "scene_name": "004831", + "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\": -1.29, \"box_2d\": [967.27, 180.47, 1110.12, 262.31], \"box_3d\": [1.47, 1.6, 3.66, 8.95, 1.65, 15.02], \"ry\": -0.76}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [1149.95, 173.36, 1235.21, 219.39], \"box_3d\": [1.7, 1.63, 4.08, 23.19, 1.74, 28.71], \"ry\": 2.51}, {\"category\": \"Car\", \"angle\": -0.86, \"box_2d\": [486.08, 168.36, 817.42, 374.0], \"box_3d\": [1.6, 1.57, 3.23, 0.51, 1.58, 7.24], \"ry\": -0.79}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [763.78, 173.41, 983.25, 307.38], \"box_3d\": [1.57, 1.5, 3.68, 3.83, 1.59, 10.29], \"ry\": 2.36}]\n```" + } + ] + }, + { + "id": 963, + "data_source": "Mono3DRefer", + "scene_name": "004834", + "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\": -1.42, \"box_2d\": [429.8, 188.09, 524.87, 270.47], \"box_3d\": [1.54, 1.5, 3.48, -2.82, 1.9, 15.7], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [465.92, 190.83, 539.97, 247.68], \"box_3d\": [1.44, 1.63, 3.32, -3.04, 2.0, 20.82], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [656.67, 186.96, 734.48, 247.66], \"box_3d\": [1.55, 1.55, 3.27, 2.32, 1.97, 20.63], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [637.17, 189.45, 695.55, 236.79], \"box_3d\": [1.48, 1.6, 3.79, 1.88, 2.1, 25.49], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [523.53, 187.67, 563.3, 221.68], \"box_3d\": [1.56, 1.55, 3.64, -3.3, 2.32, 35.96], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [541.15, 178.34, 576.23, 213.5], \"box_3d\": [1.91, 1.66, 4.22, -2.93, 2.24, 41.56], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [558.35, 182.46, 590.72, 211.96], \"box_3d\": [1.83, 1.69, 4.28, -2.31, 2.47, 47.52], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [317.91, 186.84, 505.98, 329.03], \"box_3d\": [1.63, 1.6, 3.73, -2.65, 1.85, 10.36], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.88, \"box_2d\": [736.03, 191.58, 968.07, 367.67], \"box_3d\": [1.59, 1.49, 3.34, 2.54, 1.85, 8.49], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [673.78, 193.44, 796.18, 290.16], \"box_3d\": [1.54, 1.6, 3.52, 2.21, 1.97, 13.85], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 964, + "data_source": "Mono3DRefer", + "scene_name": "004848", + "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\": [160.81, 192.5, 440.68, 358.23], \"box_3d\": [1.5, 1.7, 3.77, -3.45, 1.78, 8.76], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [502.66, 181.67, 535.49, 212.24], \"box_3d\": [1.57, 1.55, 3.32, -4.93, 2.06, 39.22], \"ry\": -1.63}]\n```" + } + ] + }, + { + "id": 965, + "data_source": "Mono3DRefer", + "scene_name": "004865", + "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\": [446.05, 180.23, 533.3, 255.1], \"box_3d\": [1.97, 1.87, 4.53, -3.48, 2.2, 21.46], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [533.22, 188.45, 564.01, 217.61], \"box_3d\": [1.7, 1.53, 3.82, -3.86, 2.72, 45.52], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 966, + "data_source": "Mono3DRefer", + "scene_name": "004875", + "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\": 2.97, \"box_2d\": [161.42, 167.07, 383.51, 239.0], \"box_3d\": [1.49, 1.67, 4.5, -7.87, 1.38, 16.93], \"ry\": 2.54}, {\"category\": \"Car\", \"angle\": -1.09, \"box_2d\": [967.05, 151.32, 1170.6, 253.18], \"box_3d\": [1.65, 1.67, 3.64, 8.46, 1.31, 13.32], \"ry\": -0.53}, {\"category\": \"Car\", \"angle\": 2.23, \"box_2d\": [1188.1, 153.77, 1241.0, 202.7], \"box_3d\": [1.59, 1.55, 3.93, 22.11, 0.97, 24.62], \"ry\": 2.95}]\n```" + } + ] + }, + { + "id": 967, + "data_source": "Mono3DRefer", + "scene_name": "004877", + "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\": -1.02, \"box_2d\": [1203.93, 189.08, 1241.0, 374.0], \"box_3d\": [1.49, 1.66, 4.16, 5.38, 1.55, 3.25], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": 2.57, \"box_2d\": [819.01, 144.17, 1241.0, 332.35], \"box_3d\": [1.85, 1.68, 4.34, 4.76, 1.58, 8.16], \"ry\": 3.08}, {\"category\": \"Car\", \"angle\": -2.57, \"box_2d\": [0.0, 197.24, 267.59, 316.2], \"box_3d\": [1.43, 1.56, 3.85, -7.05, 1.81, 9.9], \"ry\": 3.1}, {\"category\": \"Car\", \"angle\": -2.84, \"box_2d\": [198.58, 189.23, 376.55, 256.06], \"box_3d\": [1.42, 1.62, 3.5, -7.53, 1.84, 17.02], \"ry\": 3.03}, {\"category\": \"Car\", \"angle\": -2.96, \"box_2d\": [363.25, 184.05, 462.11, 221.33], \"box_3d\": [1.41, 1.54, 3.6, -7.91, 1.88, 29.01], \"ry\": 3.06}]\n```" + } + ] + }, + { + "id": 968, + "data_source": "Mono3DRefer", + "scene_name": "004878", + "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\": [304.39, 197.38, 488.18, 321.28], \"box_3d\": [1.42, 1.66, 4.11, -3.05, 1.85, 11.01], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [553.51, 168.41, 579.51, 194.88], \"box_3d\": [1.97, 1.87, 4.53, -3.38, 1.67, 56.54], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 969, + "data_source": "Mono3DRefer", + "scene_name": "004899", + "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\": 2.22, \"box_2d\": [79.75, 182.19, 197.09, 229.98], \"box_3d\": [1.5, 1.47, 3.62, -16.14, 1.84, 24.84], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 2.31, \"box_2d\": [0.0, 173.03, 89.55, 241.84], \"box_3d\": [1.78, 1.6, 4.29, -16.56, 1.8, 19.54], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 970, + "data_source": "Mono3DRefer", + "scene_name": "004904", + "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\": [822.37, 152.47, 973.13, 266.61], \"box_3d\": [1.61, 1.56, 4.12, 4.65, 1.35, 12.34], \"ry\": -1.4}]\n```" + } + ] + }, + { + "id": 971, + "data_source": "Mono3DRefer", + "scene_name": "004908", + "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\": 1.91, \"box_2d\": [294.81, 185.06, 435.2, 260.47], \"box_3d\": [1.51, 1.81, 4.07, -5.6, 1.82, 16.94], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 972, + "data_source": "Mono3DRefer", + "scene_name": "004920", + "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\": 2.65, \"box_2d\": [843.51, 165.11, 1157.85, 279.86], \"box_3d\": [1.76, 1.71, 4.4, 6.41, 1.67, 12.24], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": 0.65, \"box_2d\": [0.0, 120.76, 250.68, 330.14], \"box_3d\": [2.22, 1.68, 4.08, -6.77, 1.69, 8.55], \"ry\": -0.0}, {\"category\": \"Car\", \"angle\": -2.6, \"box_2d\": [16.62, 184.83, 290.86, 286.71], \"box_3d\": [1.4, 1.46, 3.23, -6.84, 1.6, 10.95], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -2.8, \"box_2d\": [246.65, 178.72, 441.92, 241.52], \"box_3d\": [1.46, 1.61, 4.31, -6.61, 1.63, 18.12], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -3.0, \"box_2d\": [341.58, 167.9, 490.62, 228.11], \"box_3d\": [1.8, 1.77, 4.41, -6.15, 1.68, 23.17], \"ry\": 3.02}, {\"category\": \"Car\", \"angle\": -2.93, \"box_2d\": [439.48, 174.32, 507.59, 205.24], \"box_3d\": [1.58, 1.54, 3.3, -7.25, 1.68, 38.37], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.16, \"box_2d\": [456.71, 174.35, 533.23, 205.26], \"box_3d\": [1.68, 1.71, 4.07, -6.53, 1.8, 41.08], \"ry\": 0.0}]\n```" + } + ] + }, + { + "id": 973, + "data_source": "Mono3DRefer", + "scene_name": "004936", + "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\": [498.0, 183.15, 549.86, 220.28], \"box_3d\": [1.44, 1.72, 4.14, -3.63, 1.9, 30.78], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 974, + "data_source": "Mono3DRefer", + "scene_name": "004951", + "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\": [394.14, 179.76, 488.61, 249.48], \"box_3d\": [1.7, 1.72, 4.11, -4.55, 1.9, 19.86], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 975, + "data_source": "Mono3DRefer", + "scene_name": "004961", + "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\": [0.0, 147.24, 370.95, 374.0], \"box_3d\": [1.83, 1.69, 4.28, -3.01, 1.77, 4.52], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [487.98, 180.61, 585.26, 241.76], \"box_3d\": [1.51, 1.63, 4.03, -1.96, 1.74, 20.05], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [556.32, 176.88, 625.48, 223.6], \"box_3d\": [1.57, 1.44, 3.6, -0.66, 1.73, 26.21], \"ry\": 1.86}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [616.77, 176.46, 671.85, 211.93], \"box_3d\": [1.47, 1.51, 3.5, 1.53, 1.64, 31.71], \"ry\": 1.89}, {\"category\": \"Car\", \"angle\": -1.27, \"box_2d\": [801.09, 163.04, 841.61, 186.59], \"box_3d\": [1.77, 1.75, 4.67, 16.67, 1.05, 56.81], \"ry\": -0.99}]\n```" + } + ] + }, + { + "id": 976, + "data_source": "Mono3DRefer", + "scene_name": "004969", + "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\": [780.02, 174.72, 834.26, 222.35], \"box_3d\": [1.56, 1.65, 3.69, 6.88, 1.65, 25.58], \"ry\": -1.35}]\n```" + } + ] + }, + { + "id": 977, + "data_source": "Mono3DRefer", + "scene_name": "004982", + "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\": [579.82, 176.46, 630.27, 224.47], \"box_3d\": [1.54, 1.63, 3.67, -0.21, 1.69, 25.31], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [598.1, 170.54, 637.56, 211.7], \"box_3d\": [1.77, 1.69, 4.32, 0.31, 1.7, 33.48], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.14, \"box_2d\": [867.91, 128.79, 1241.0, 374.0], \"box_3d\": [1.74, 1.62, 4.13, 2.88, 1.61, 3.95], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [735.3, 175.17, 881.73, 282.78], \"box_3d\": [1.53, 1.46, 3.26, 3.09, 1.58, 11.97], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [667.72, 172.88, 717.37, 216.07], \"box_3d\": [1.6, 1.56, 3.45, 3.19, 1.63, 28.69], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [651.43, 175.43, 694.0, 209.47], \"box_3d\": [1.52, 1.53, 4.07, 2.92, 1.66, 34.57], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 978, + "data_source": "Mono3DRefer", + "scene_name": "004994", + "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\": [357.64, 191.12, 475.74, 274.64], \"box_3d\": [1.39, 1.48, 3.76, -3.78, 1.79, 14.51], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [521.82, 176.9, 560.3, 206.31], \"box_3d\": [1.46, 1.75, 4.23, -3.65, 1.7, 38.45], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 979, + "data_source": "Mono3DRefer", + "scene_name": "005001", + "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\": [250.36, 196.31, 436.69, 318.75], \"box_3d\": [1.39, 1.48, 3.76, -3.74, 1.78, 10.66], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [512.36, 179.61, 557.96, 212.96], \"box_3d\": [1.46, 1.75, 4.23, -3.51, 1.79, 34.16], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 980, + "data_source": "Mono3DRefer", + "scene_name": "005014", + "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\": [185.62, 185.17, 390.16, 307.82], \"box_3d\": [1.62, 1.66, 3.81, -5.0, 1.84, 11.7], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [434.58, 181.4, 502.7, 223.58], \"box_3d\": [1.46, 1.67, 4.92, -5.39, 1.81, 27.89], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [639.43, 175.67, 668.21, 199.31], \"box_3d\": [1.51, 1.84, 4.1, 2.93, 1.72, 48.64], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.87, \"box_2d\": [740.21, 171.71, 1005.25, 354.03], \"box_3d\": [1.61, 1.67, 3.62, 2.63, 1.63, 8.25], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 981, + "data_source": "Mono3DRefer", + "scene_name": "005020", + "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\": -1.53, \"box_2d\": [1139.73, 185.57, 1193.05, 225.06], \"box_3d\": [1.43, 1.55, 3.91, 22.35, 1.97, 28.97], \"ry\": -0.88}]\n```" + } + ] + }, + { + "id": 982, + "data_source": "Mono3DRefer", + "scene_name": "005033", + "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, 142.03, 297.72, 374.0], \"box_3d\": [1.83, 1.69, 4.28, -3.01, 1.73, 2.94], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [472.08, 183.53, 579.3, 251.74], \"box_3d\": [1.51, 1.63, 4.03, -2.05, 1.8, 18.36], \"ry\": 1.74}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [549.52, 180.14, 623.73, 230.69], \"box_3d\": [1.57, 1.44, 3.6, -0.75, 1.83, 24.51], \"ry\": 1.86}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [614.95, 180.95, 672.46, 218.88], \"box_3d\": [1.47, 1.51, 3.5, 1.43, 1.82, 30.04], \"ry\": 1.88}, {\"category\": \"Car\", \"angle\": -1.28, \"box_2d\": [803.7, 164.31, 845.08, 188.55], \"box_3d\": [1.77, 1.75, 4.67, 16.43, 1.16, 55.19], \"ry\": -0.99}]\n```" + } + ] + }, + { + "id": 983, + "data_source": "Mono3DRefer", + "scene_name": "005034", + "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\": [740.46, 187.83, 927.98, 316.93], \"box_3d\": [1.51, 1.56, 3.81, 3.02, 1.76, 10.64], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [695.34, 180.68, 810.36, 262.46], \"box_3d\": [1.57, 1.68, 3.83, 2.97, 1.76, 15.98], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [503.3, 181.2, 546.87, 223.62], \"box_3d\": [1.52, 1.5, 3.85, -3.28, 1.85, 28.06], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [651.37, 180.42, 693.31, 212.63], \"box_3d\": [1.43, 1.59, 3.68, 2.87, 1.79, 34.17], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 984, + "data_source": "Mono3DRefer", + "scene_name": "005045", + "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\": 1.08, \"box_2d\": [800.7, 128.42, 1197.51, 358.58], \"box_3d\": [1.79, 1.72, 4.35, 3.62, 1.47, 7.86], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [125.57, 201.18, 395.6, 366.68], \"box_3d\": [1.45, 1.49, 4.07, -4.0, 1.87, 8.95], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [390.42, 197.36, 485.38, 261.47], \"box_3d\": [1.27, 1.54, 3.58, -4.03, 1.9, 17.23], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [443.88, 181.5, 512.77, 237.01], \"box_3d\": [1.63, 1.65, 3.91, -4.23, 1.93, 23.49], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [600.44, 180.05, 632.27, 208.41], \"box_3d\": [1.46, 1.53, 3.17, 0.28, 1.86, 39.17], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 985, + "data_source": "Mono3DRefer", + "scene_name": "005047", + "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\": [547.16, 178.88, 574.03, 198.98], \"box_3d\": [1.45, 1.77, 4.04, -3.73, 1.92, 54.81], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 986, + "data_source": "Mono3DRefer", + "scene_name": "005051", + "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\": [114.51, 190.47, 376.51, 372.31], \"box_3d\": [1.6, 1.73, 3.62, -4.02, 1.85, 8.54], \"ry\": 1.42}, {\"category\": \"Car\", \"angle\": 2.95, \"box_2d\": [593.5, 171.69, 684.0, 204.79], \"box_3d\": [1.73, 1.74, 4.71, 1.53, 1.69, 39.72], \"ry\": 2.99}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [441.19, 181.58, 475.69, 206.63], \"box_3d\": [1.58, 1.76, 4.18, -10.09, 2.17, 48.18], \"ry\": 1.48}]\n```" + } + ] + }, + { + "id": 987, + "data_source": "Mono3DRefer", + "scene_name": "005052", + "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\": [686.29, 180.94, 794.57, 263.1], \"box_3d\": [1.6, 1.53, 4.18, 2.75, 1.79, 16.29], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [662.25, 179.78, 738.1, 236.9], \"box_3d\": [1.56, 1.57, 3.98, 2.61, 1.79, 22.0], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": 1.42, \"box_2d\": [663.31, 170.67, 693.26, 194.1], \"box_3d\": [1.79, 1.72, 4.35, 5.41, 1.65, 57.78], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [222.5, 186.88, 486.05, 364.82], \"box_3d\": [1.55, 1.68, 4.42, -2.74, 1.75, 8.73], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 988, + "data_source": "Mono3DRefer", + "scene_name": "005083", + "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\": [542.66, 180.83, 622.21, 237.88], \"box_3d\": [1.6, 1.7, 3.56, -0.98, 1.86, 22.35], \"ry\": -1.83}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [516.18, 182.99, 585.35, 227.37], \"box_3d\": [1.52, 1.73, 3.89, -2.35, 1.92, 27.22], \"ry\": -1.89}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [304.79, 190.21, 355.92, 233.76], \"box_3d\": [1.44, 1.6, 3.79, -10.41, 2.12, 26.95], \"ry\": 1.25}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [500.27, 185.97, 545.76, 219.23], \"box_3d\": [1.37, 1.51, 3.49, -3.97, 1.97, 32.26], \"ry\": -1.84}, {\"category\": \"Car\", \"angle\": -1.41, \"box_2d\": [713.75, 182.49, 862.61, 299.38], \"box_3d\": [1.51, 1.69, 4.04, 2.99, 1.69, 11.66], \"ry\": -1.17}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [603.77, 186.12, 734.17, 266.12], \"box_3d\": [1.46, 1.58, 3.93, 1.08, 1.77, 15.63], \"ry\": -1.83}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [210.07, 190.66, 330.62, 267.6], \"box_3d\": [1.5, 1.68, 4.03, -7.81, 1.95, 16.86], \"ry\": 1.36}]\n```" + } + ] + }, + { + "id": 989, + "data_source": "Mono3DRefer", + "scene_name": "005100", + "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\": [506.6, 184.1, 559.71, 223.71], \"box_3d\": [1.42, 1.66, 4.11, -3.01, 1.89, 28.63], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 990, + "data_source": "Mono3DRefer", + "scene_name": "005116", + "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\": [601.84, 185.02, 676.87, 246.95], \"box_3d\": [1.36, 1.69, 3.38, 0.62, 1.69, 18.05], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.39, \"box_2d\": [1108.54, 177.98, 1241.0, 226.89], \"box_3d\": [1.45, 1.67, 4.32, 18.48, 1.63, 22.9], \"ry\": 3.06}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [351.31, 186.89, 410.65, 221.36], \"box_3d\": [1.59, 1.72, 3.86, -11.47, 2.32, 36.29], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -2.35, \"box_2d\": [480.51, 182.6, 552.76, 214.87], \"box_3d\": [1.59, 1.63, 3.64, -4.92, 2.12, 37.6], \"ry\": -2.48}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [583.32, 185.34, 627.46, 226.28], \"box_3d\": [1.52, 1.67, 3.61, -0.17, 2.04, 29.26], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 991, + "data_source": "Mono3DRefer", + "scene_name": "005127", + "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\": [933.5, 180.67, 1110.38, 317.29], \"box_3d\": [1.33, 1.59, 3.48, 5.24, 1.45, 9.04], \"ry\": -0.96}, {\"category\": \"Car\", \"angle\": -1.31, \"box_2d\": [878.58, 170.85, 966.35, 219.11], \"box_3d\": [1.47, 1.6, 4.41, 10.51, 1.42, 24.17], \"ry\": -0.9}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [1041.91, 160.69, 1145.89, 230.81], \"box_3d\": [1.63, 1.69, 3.88, 12.59, 1.36, 18.72], \"ry\": -0.84}, {\"category\": \"Car\", \"angle\": -1.26, \"box_2d\": [922.95, 169.44, 1005.88, 210.27], \"box_3d\": [1.46, 1.68, 4.1, 13.69, 1.35, 27.83], \"ry\": -0.8}]\n```" + } + ] + }, + { + "id": 992, + "data_source": "Mono3DRefer", + "scene_name": "005128", + "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\": [0.0, 183.38, 367.74, 374.0], \"box_3d\": [1.48, 1.64, 3.95, -3.32, 1.57, 5.27], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -2.02, \"box_2d\": [805.09, 199.02, 1241.0, 374.0], \"box_3d\": [1.35, 1.64, 3.84, 2.72, 1.6, 5.29], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.39, \"box_2d\": [685.45, 189.38, 796.62, 267.86], \"box_3d\": [1.42, 1.59, 4.19, 2.66, 1.81, 15.77], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [409.23, 187.34, 507.93, 260.39], \"box_3d\": [1.42, 1.64, 3.63, -3.35, 1.77, 16.36], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [667.33, 184.89, 736.59, 236.16], \"box_3d\": [1.38, 1.58, 3.66, 2.65, 1.76, 21.76], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [655.92, 182.04, 712.56, 224.43], \"box_3d\": [1.42, 1.6, 3.78, 2.61, 1.77, 26.46], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 993, + "data_source": "Mono3DRefer", + "scene_name": "005130", + "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\": [406.82, 190.15, 517.67, 264.24], \"box_3d\": [1.44, 1.7, 3.65, -3.29, 1.87, 16.51], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 994, + "data_source": "Mono3DRefer", + "scene_name": "005132", + "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\": [706.61, 172.69, 777.69, 238.48], \"box_3d\": [1.56, 1.65, 3.69, 3.36, 1.58, 19.03], \"ry\": -1.43}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [292.27, 173.54, 475.95, 289.2], \"box_3d\": [1.76, 1.58, 3.68, -3.88, 1.79, 12.92], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": 2.38, \"box_2d\": [0.0, 191.21, 227.34, 317.4], \"box_3d\": [1.56, 1.62, 4.19, -8.36, 1.9, 11.51], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [395.39, 185.27, 507.21, 233.84], \"box_3d\": [1.42, 1.67, 4.53, -5.2, 1.87, 24.16], \"ry\": 1.86}, {\"category\": \"Car\", \"angle\": -0.64, \"box_2d\": [844.89, 163.73, 922.27, 192.84], \"box_3d\": [1.54, 1.63, 3.74, 15.04, 1.06, 39.78], \"ry\": -0.29}]\n```" + } + ] + }, + { + "id": 995, + "data_source": "Mono3DRefer", + "scene_name": "005133", + "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\": [599.03, 175.73, 626.41, 202.65], \"box_3d\": [1.65, 1.67, 3.64, 0.12, 1.86, 46.49], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.01, \"box_2d\": [0.0, 184.83, 394.18, 374.0], \"box_3d\": [1.61, 1.51, 4.5, -2.69, 1.7, 4.01], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 996, + "data_source": "Mono3DRefer", + "scene_name": "005169", + "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\": [444.32, 179.7, 502.89, 217.18], \"box_3d\": [1.51, 1.81, 4.07, -5.92, 1.83, 31.56], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 997, + "data_source": "Mono3DRefer", + "scene_name": "005170", + "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\": 1.9, \"box_2d\": [245.37, 116.63, 516.15, 316.46], \"box_3d\": [2.11, 2.04, 4.62, -2.67, 1.43, 9.96], \"ry\": 1.64}]\n```" + } + ] + }, + { + "id": 998, + "data_source": "Mono3DRefer", + "scene_name": "005177", + "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\": [740.74, 168.37, 814.53, 234.01], \"box_3d\": [1.56, 1.65, 3.69, 4.3, 1.48, 19.08], \"ry\": -1.41}, {\"category\": \"Car\", \"angle\": 2.41, \"box_2d\": [0.0, 170.19, 285.71, 374.0], \"box_3d\": [1.76, 1.58, 3.68, -4.47, 1.76, 5.65], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": 2.09, \"box_2d\": [381.53, 181.99, 510.77, 237.12], \"box_3d\": [1.42, 1.67, 4.53, -4.71, 1.71, 21.32], \"ry\": 1.87}, {\"category\": \"Car\", \"angle\": -0.53, \"box_2d\": [931.58, 158.46, 1021.01, 190.01], \"box_3d\": [1.54, 1.63, 3.74, 18.64, 0.84, 36.84], \"ry\": -0.07}]\n```" + } + ] + }, + { + "id": 999, + "data_source": "Mono3DRefer", + "scene_name": "005184", + "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\": [471.2, 180.84, 554.37, 244.73], \"box_3d\": [1.55, 1.68, 4.42, -2.6, 1.78, 19.94], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [667.84, 181.43, 724.36, 227.38], \"box_3d\": [1.6, 1.53, 4.18, 3.17, 1.93, 27.51], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 1000, + "data_source": "Mono3DRefer", + "scene_name": "005185", + "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\": [726.63, 182.52, 783.35, 231.04], \"box_3d\": [1.52, 1.54, 4.5, 4.95, 1.88, 25.27], \"ry\": -1.46}, {\"category\": \"Car\", \"angle\": -2.64, \"box_2d\": [298.06, 190.93, 456.39, 265.55], \"box_3d\": [1.59, 1.45, 3.15, -5.36, 2.03, 16.61], \"ry\": -2.94}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [750.29, 186.32, 995.55, 374.0], \"box_3d\": [1.46, 1.53, 3.17, 2.25, 1.61, 7.07], \"ry\": -1.46}]\n```" + } + ] + }, + { + "id": 1001, + "data_source": "Mono3DRefer", + "scene_name": "005190", + "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\": [636.82, 179.45, 671.82, 207.4], \"box_3d\": [1.45, 1.59, 3.59, 2.37, 1.83, 39.77], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [653.78, 180.36, 707.72, 223.76], \"box_3d\": [1.54, 1.67, 3.72, 2.62, 1.84, 27.74], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [675.59, 171.99, 789.57, 259.34], \"box_3d\": [1.76, 1.71, 4.35, 2.66, 1.77, 16.87], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -2.57, \"box_2d\": [55.98, 182.73, 335.49, 286.27], \"box_3d\": [1.52, 1.58, 3.61, -6.56, 1.7, 11.56], \"ry\": -3.08}, {\"category\": \"Car\", \"angle\": 0.4, \"box_2d\": [129.34, 182.12, 405.35, 269.44], \"box_3d\": [1.52, 1.71, 4.49, -6.47, 1.72, 13.9], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -2.73, \"box_2d\": [222.13, 185.49, 421.82, 256.77], \"box_3d\": [1.49, 1.61, 3.87, -6.47, 1.8, 16.33], \"ry\": -3.1}, {\"category\": \"Car\", \"angle\": 0.27, \"box_2d\": [331.19, 168.77, 486.61, 232.58], \"box_3d\": [1.95, 1.64, 4.57, -6.47, 1.85, 23.37], \"ry\": 0.0}, {\"category\": \"Car\", \"angle\": -2.84, \"box_2d\": [322.67, 177.32, 452.88, 237.53], \"box_3d\": [1.66, 1.58, 3.31, -6.47, 1.81, 21.11], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [663.71, 181.74, 737.17, 232.91], \"box_3d\": [1.44, 1.66, 3.25, 2.67, 1.72, 22.24], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -2.89, \"box_2d\": [362.21, 169.59, 473.21, 224.73], \"box_3d\": [1.87, 1.61, 3.53, -6.85, 1.79, 25.78], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -2.89, \"box_2d\": [389.46, 174.76, 501.54, 217.63], \"box_3d\": [1.72, 1.65, 4.33, -6.92, 1.83, 30.47], \"ry\": -3.11}]\n```" + } + ] + }, + { + "id": 1002, + "data_source": "Mono3DRefer", + "scene_name": "005199", + "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\": [523.85, 176.31, 560.8, 204.88], \"box_3d\": [1.46, 1.75, 4.23, -3.68, 1.67, 39.52], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [375.25, 189.91, 483.02, 267.0], \"box_3d\": [1.39, 1.48, 3.76, -3.79, 1.79, 15.5], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 1003, + "data_source": "Mono3DRefer", + "scene_name": "005213", + "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\": [591.05, 177.23, 618.21, 204.09], \"box_3d\": [1.65, 1.67, 3.64, -0.4, 1.95, 46.62], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.32, \"box_2d\": [316.57, 179.38, 502.96, 316.33], \"box_3d\": [1.61, 1.51, 4.5, -2.76, 1.72, 10.83], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 2.18, \"box_2d\": [0.0, 198.56, 161.34, 281.41], \"box_3d\": [1.61, 1.72, 3.65, -12.43, 2.26, 16.76], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 1004, + "data_source": "Mono3DRefer", + "scene_name": "005223", + "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\": [310.24, 179.53, 487.55, 326.43], \"box_3d\": [1.65, 1.75, 3.39, -2.74, 1.75, 9.95], \"ry\": 1.47}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [438.81, 182.62, 532.43, 257.3], \"box_3d\": [1.57, 1.54, 4.01, -2.92, 1.82, 17.44], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1005, + "data_source": "Mono3DRefer", + "scene_name": "005224", + "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\": 0.58, \"box_2d\": [61.33, 196.37, 314.95, 267.04], \"box_3d\": [1.36, 1.68, 4.49, -8.93, 1.9, 15.39], \"ry\": 0.06}]\n```" + } + ] + }, + { + "id": 1006, + "data_source": "Mono3DRefer", + "scene_name": "005225", + "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\": [537.64, 181.89, 568.81, 206.48], \"box_3d\": [1.52, 1.73, 4.28, -3.72, 2.13, 47.57], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1007, + "data_source": "Mono3DRefer", + "scene_name": "005250", + "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\": -1.53, \"box_2d\": [507.07, 176.93, 644.01, 307.39], \"box_3d\": [1.54, 1.63, 3.67, -0.47, 1.62, 10.47], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [562.26, 163.25, 645.7, 250.31], \"box_3d\": [1.77, 1.69, 4.32, -0.16, 1.6, 16.96], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [744.32, 172.67, 946.11, 319.15], \"box_3d\": [1.6, 1.56, 3.45, 2.87, 1.62, 9.68], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [680.11, 177.53, 791.54, 259.96], \"box_3d\": [1.52, 1.53, 4.07, 2.5, 1.64, 15.48], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [652.66, 174.5, 719.48, 232.12], \"box_3d\": [1.52, 1.53, 4.16, 2.11, 1.59, 21.28], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 0.4, \"box_2d\": [64.36, 184.27, 146.91, 215.74], \"box_3d\": [1.74, 1.87, 3.51, -29.47, 2.43, 42.22], \"ry\": -0.21}, {\"category\": \"Car\", \"angle\": 0.03, \"box_2d\": [341.88, 177.8, 401.36, 203.2], \"box_3d\": [1.53, 1.85, 3.5, -15.06, 1.86, 45.64], \"ry\": -0.29}, {\"category\": \"Car\", \"angle\": 0.17, \"box_2d\": [242.58, 182.02, 307.88, 207.96], \"box_3d\": [1.51, 1.85, 3.37, -20.55, 2.09, 44.36], \"ry\": -0.26}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [641.49, 174.93, 681.92, 211.83], \"box_3d\": [1.4, 1.53, 3.24, 2.02, 1.5, 29.19], \"ry\": -1.52}]\n```" + } + ] + }, + { + "id": 1008, + "data_source": "Mono3DRefer", + "scene_name": "005252", + "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\": [522.09, 174.68, 553.06, 201.83], \"box_3d\": [1.65, 1.56, 3.98, -4.62, 1.79, 46.17], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1009, + "data_source": "Mono3DRefer", + "scene_name": "005257", + "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\": [22.08, 215.46, 402.67, 374.0], \"box_3d\": [1.47, 1.62, 3.79, -3.48, 1.99, 7.11], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [468.92, 187.45, 537.53, 247.28], \"box_3d\": [1.7, 1.53, 3.82, -3.37, 2.2, 23.09], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [524.75, 186.54, 563.2, 221.36], \"box_3d\": [1.5, 1.53, 3.38, -3.08, 2.17, 33.76], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [558.19, 184.56, 597.24, 209.18], \"box_3d\": [1.56, 1.56, 3.6, -2.15, 2.37, 48.54], \"ry\": 1.85}]\n```" + } + ] + }, + { + "id": 1010, + "data_source": "Mono3DRefer", + "scene_name": "005269", + "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\": [668.09, 185.87, 760.37, 253.39], \"box_3d\": [1.41, 1.64, 3.77, 2.37, 1.75, 17.49], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [496.46, 185.87, 536.08, 212.25], \"box_3d\": [1.43, 1.76, 3.97, -5.5, 2.22, 42.51], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [386.27, 191.05, 474.17, 248.09], \"box_3d\": [1.49, 1.61, 3.94, -5.33, 2.07, 21.72], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [429.1, 188.93, 499.05, 233.64], \"box_3d\": [1.48, 1.66, 3.9, -5.38, 2.11, 26.86], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [213.87, 204.86, 393.96, 296.26], \"box_3d\": [1.31, 1.58, 4.23, -5.6, 2.0, 13.69], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1011, + "data_source": "Mono3DRefer", + "scene_name": "005300", + "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\": -0.59, \"box_2d\": [735.59, 184.3, 1069.83, 308.98], \"box_3d\": [1.49, 1.66, 4.16, 4.02, 1.68, 10.2], \"ry\": -0.22}, {\"category\": \"Car\", \"angle\": 2.7, \"box_2d\": [623.45, 166.99, 851.49, 266.56], \"box_3d\": [1.85, 1.68, 4.34, 2.57, 1.76, 14.96], \"ry\": 2.87}, {\"category\": \"Car\", \"angle\": -2.58, \"box_2d\": [0.0, 207.3, 128.8, 373.2], \"box_3d\": [1.51, 1.53, 4.46, -7.68, 1.92, 7.18], \"ry\": 2.91}, {\"category\": \"Car\", \"angle\": -2.8, \"box_2d\": [8.77, 194.13, 255.89, 275.96], \"box_3d\": [1.43, 1.56, 3.85, -9.47, 1.9, 14.54], \"ry\": 2.92}, {\"category\": \"Car\", \"angle\": -2.93, \"box_2d\": [163.33, 191.24, 306.27, 244.53], \"box_3d\": [1.42, 1.62, 3.5, -11.08, 2.01, 21.45], \"ry\": 2.88}, {\"category\": \"Car\", \"angle\": -2.99, \"box_2d\": [274.96, 187.17, 363.91, 220.04], \"box_3d\": [1.41, 1.54, 3.6, -13.35, 2.09, 33.24], \"ry\": 2.91}]\n```" + } + ] + }, + { + "id": 1012, + "data_source": "Mono3DRefer", + "scene_name": "005305", + "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\": 1.75, \"box_2d\": [500.7, 174.51, 546.08, 202.61], \"box_3d\": [1.42, 1.78, 3.62, -4.14, 1.07, 38.6], \"ry\": 1.64}]\n```" + } + ] + }, + { + "id": 1013, + "data_source": "Mono3DRefer", + "scene_name": "005307", + "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\": [699.4, 188.3, 841.79, 283.23], \"box_3d\": [1.41, 1.58, 4.36, 2.72, 1.73, 13.38], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 1014, + "data_source": "Mono3DRefer", + "scene_name": "005315", + "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\": -2.06, \"box_2d\": [799.95, 187.55, 1241.0, 374.0], \"box_3d\": [1.56, 1.57, 3.98, 2.7, 1.7, 5.19], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -2.82, \"box_2d\": [342.46, 175.9, 443.48, 220.24], \"box_3d\": [1.61, 1.57, 3.35, -8.27, 1.75, 27.52], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": 1.38, \"box_2d\": [691.64, 165.75, 736.9, 199.3], \"box_3d\": [1.79, 1.72, 4.35, 5.83, 1.44, 41.0], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [563.42, 176.72, 590.52, 202.99], \"box_3d\": [1.45, 1.49, 4.07, -1.95, 1.69, 42.23], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 1015, + "data_source": "Mono3DRefer", + "scene_name": "005319", + "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\": [288.08, 188.3, 488.4, 329.72], \"box_3d\": [1.46, 1.63, 4.47, -2.83, 1.71, 10.08], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [466.94, 172.0, 557.5, 236.34], \"box_3d\": [1.7, 1.82, 4.45, -2.81, 1.71, 21.41], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": -1.18, \"box_2d\": [644.57, 172.92, 691.66, 204.2], \"box_3d\": [1.57, 1.56, 2.62, 3.04, 1.59, 37.78], \"ry\": -1.1}]\n```" + } + ] + }, + { + "id": 1016, + "data_source": "Mono3DRefer", + "scene_name": "005331", + "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\": [502.46, 183.0, 554.4, 219.32], \"box_3d\": [1.45, 1.77, 4.04, -3.52, 1.91, 31.51], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1017, + "data_source": "Mono3DRefer", + "scene_name": "005340", + "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\": [633.46, 178.01, 676.43, 215.8], \"box_3d\": [1.37, 1.56, 3.54, 1.74, 1.59, 28.22], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [580.14, 170.49, 624.38, 205.66], \"box_3d\": [1.61, 1.69, 4.26, -0.35, 1.53, 35.46], \"ry\": -1.47}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [649.93, 170.89, 682.87, 201.63], \"box_3d\": [1.53, 1.63, 4.5, 3.01, 1.46, 38.53], \"ry\": -1.48}, {\"category\": \"Car\", \"angle\": -0.72, \"box_2d\": [959.15, 152.38, 1072.5, 190.96], \"box_3d\": [1.48, 1.6, 3.84, 16.21, 0.69, 28.93], \"ry\": -0.21}, {\"category\": \"Car\", \"angle\": -0.65, \"box_2d\": [917.34, 154.2, 1014.56, 190.49], \"box_3d\": [1.55, 1.61, 3.64, 15.8, 0.75, 32.14], \"ry\": -0.2}]\n```" + } + ] + }, + { + "id": 1018, + "data_source": "Mono3DRefer", + "scene_name": "005351", + "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\": -0.61, \"box_2d\": [69.63, 195.63, 311.11, 289.84], \"box_3d\": [1.41, 1.62, 3.6, -7.66, 1.88, 13.45], \"ry\": -1.12}, {\"category\": \"Car\", \"angle\": -0.55, \"box_2d\": [0.0, 179.69, 223.93, 285.07], \"box_3d\": [1.77, 1.96, 4.39, -10.48, 1.93, 14.54], \"ry\": -1.16}]\n```" + } + ] + }, + { + "id": 1019, + "data_source": "Mono3DRefer", + "scene_name": "005357", + "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\": [691.42, 178.61, 722.06, 203.49], \"box_3d\": [1.54, 1.63, 3.67, 6.3, 1.93, 46.91], \"ry\": -1.34}, {\"category\": \"Car\", \"angle\": 2.43, \"box_2d\": [0.0, 191.55, 144.96, 353.49], \"box_3d\": [1.56, 1.59, 3.69, -6.83, 1.78, 7.21], \"ry\": 1.69}, {\"category\": \"Car\", \"angle\": 2.15, \"box_2d\": [80.86, 160.14, 331.94, 302.83], \"box_3d\": [1.93, 1.59, 4.01, -6.34, 1.79, 11.84], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [727.82, 179.82, 844.89, 262.87], \"box_3d\": [1.58, 1.67, 3.84, 3.67, 1.75, 15.81], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [617.63, 177.5, 658.73, 205.34], \"box_3d\": [1.53, 1.67, 3.78, 1.65, 1.81, 41.69], \"ry\": 1.8}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [725.85, 161.63, 795.7, 241.57], \"box_3d\": [2.05, 1.5, 3.83, 4.17, 1.79, 20.55], \"ry\": -1.48}]\n```" + } + ] + }, + { + "id": 1020, + "data_source": "Mono3DRefer", + "scene_name": "005358", + "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\": -2.63, \"box_2d\": [2.16, 193.43, 305.02, 298.49], \"box_3d\": [1.41, 1.54, 3.6, -6.81, 1.75, 10.96], \"ry\": 3.1}]\n```" + } + ] + }, + { + "id": 1021, + "data_source": "Mono3DRefer", + "scene_name": "005379", + "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\": [234.79, 189.26, 469.38, 322.54], \"box_3d\": [1.44, 1.64, 3.78, -3.34, 1.7, 10.02], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [382.44, 167.04, 530.35, 272.51], \"box_3d\": [1.77, 1.71, 4.28, -2.88, 1.7, 14.33], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [719.11, 180.0, 799.11, 230.77], \"box_3d\": [1.45, 1.71, 3.93, 4.57, 1.69, 22.81], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [501.69, 174.12, 573.89, 232.52], \"box_3d\": [1.73, 1.65, 3.96, -2.29, 1.79, 23.48], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [699.19, 169.75, 763.55, 218.23], \"box_3d\": [1.78, 1.89, 4.37, 4.73, 1.69, 28.91], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [534.65, 174.89, 583.25, 220.42], \"box_3d\": [1.68, 1.51, 3.29, -1.99, 1.78, 28.43], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 1022, + "data_source": "Mono3DRefer", + "scene_name": "005393", + "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\": [386.94, 179.27, 437.26, 217.81], \"box_3d\": [1.49, 1.54, 2.54, -8.11, 1.77, 29.59], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [426.42, 178.24, 454.58, 195.49], \"box_3d\": [1.48, 1.97, 4.33, -15.23, 1.98, 64.94], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 1023, + "data_source": "Mono3DRefer", + "scene_name": "005402", + "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\": [379.23, 189.49, 502.65, 269.93], \"box_3d\": [1.44, 1.72, 4.14, -3.54, 1.84, 15.65], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1024, + "data_source": "Mono3DRefer", + "scene_name": "005415", + "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\": -1.09, \"box_2d\": [0.0, 205.4, 415.67, 374.0], \"box_3d\": [1.4, 1.67, 3.72, -3.06, 1.75, 6.03], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [634.52, 182.45, 699.39, 234.6], \"box_3d\": [1.49, 1.61, 3.74, 1.68, 1.8, 22.82], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -2.97, \"box_2d\": [423.49, 180.42, 512.12, 210.47], \"box_3d\": [1.47, 1.68, 4.26, -7.32, 1.88, 37.26], \"ry\": 3.12}]\n```" + } + ] + }, + { + "id": 1025, + "data_source": "Mono3DRefer", + "scene_name": "005421", + "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\": [285.21, 180.77, 455.4, 288.78], \"box_3d\": [1.59, 1.63, 3.83, -4.03, 1.74, 12.66], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [659.37, 171.43, 692.23, 202.77], \"box_3d\": [1.62, 1.7, 3.29, 3.53, 1.58, 39.43], \"ry\": -1.5}]\n```" + } + ] + }, + { + "id": 1026, + "data_source": "Mono3DRefer", + "scene_name": "005424", + "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\": [500.5, 178.45, 540.82, 212.43], \"box_3d\": [1.7, 1.72, 4.11, -4.75, 2.01, 38.56], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 1027, + "data_source": "Mono3DRefer", + "scene_name": "005435", + "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\": 0.33, \"box_2d\": [357.5, 183.96, 471.07, 216.94], \"box_3d\": [1.36, 1.68, 4.49, -8.56, 1.87, 31.62], \"ry\": 0.07}]\n```" + } + ] + }, + { + "id": 1028, + "data_source": "Mono3DRefer", + "scene_name": "005446", + "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\": [222.47, 196.84, 453.68, 351.22], \"box_3d\": [1.45, 1.56, 3.47, -3.15, 1.79, 8.95], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1029, + "data_source": "Mono3DRefer", + "scene_name": "005448", + "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\": [595.61, 171.69, 622.85, 198.58], \"box_3d\": [1.65, 1.67, 3.64, -0.11, 1.61, 46.55], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.19, \"box_2d\": [53.67, 181.94, 455.0, 374.0], \"box_3d\": [1.61, 1.51, 4.5, -2.75, 1.71, 6.74], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 1030, + "data_source": "Mono3DRefer", + "scene_name": "005449", + "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\": -3.01, \"box_2d\": [414.12, 176.27, 513.31, 210.78], \"box_3d\": [1.47, 1.53, 4.21, -6.59, 1.66, 32.62], \"ry\": 3.08}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [651.59, 172.12, 704.25, 215.68], \"box_3d\": [1.64, 1.62, 4.2, 2.68, 1.65, 29.62], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [512.58, 180.69, 565.21, 221.62], \"box_3d\": [1.35, 1.47, 3.43, -2.53, 1.64, 25.88], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -2.87, \"box_2d\": [228.66, 178.3, 434.31, 247.06], \"box_3d\": [1.48, 1.61, 4.24, -6.48, 1.64, 17.02], \"ry\": 3.05}, {\"category\": \"Car\", \"angle\": 0.4, \"box_2d\": [171.23, 180.32, 402.55, 261.41], \"box_3d\": [1.5, 1.8, 3.88, -6.45, 1.67, 14.62], \"ry\": -0.01}, {\"category\": \"Car\", \"angle\": 0.54, \"box_2d\": [63.84, 185.32, 366.35, 295.97], \"box_3d\": [1.51, 1.55, 3.72, -5.84, 1.72, 10.83], \"ry\": 0.05}, {\"category\": \"Car\", \"angle\": 0.58, \"box_2d\": [0.0, 179.53, 307.09, 338.79], \"box_3d\": [1.58, 1.66, 4.21, -5.91, 1.68, 8.1], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": -1.82, \"box_2d\": [725.42, 192.9, 902.84, 300.41], \"box_3d\": [1.27, 1.58, 4.03, 2.86, 1.63, 11.14], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 1031, + "data_source": "Mono3DRefer", + "scene_name": "005451", + "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\": [566.63, 178.08, 626.99, 224.61], \"box_3d\": [1.38, 1.51, 4.1, -0.55, 1.57, 23.79], \"ry\": -1.71}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [618.6, 170.52, 770.45, 289.11], \"box_3d\": [1.6, 1.66, 3.55, 1.15, 1.59, 11.67], \"ry\": -1.68}]\n```" + } + ] + }, + { + "id": 1032, + "data_source": "Mono3DRefer", + "scene_name": "005455", + "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\": [669.71, 171.35, 740.14, 237.04], \"box_3d\": [1.56, 1.65, 3.69, 2.44, 1.55, 19.07], \"ry\": -1.45}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [434.74, 171.56, 534.2, 240.07], \"box_3d\": [1.76, 1.58, 3.68, -3.49, 1.75, 20.47], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": 2.3, \"box_2d\": [31.71, 186.71, 275.02, 283.64], \"box_3d\": [1.56, 1.62, 4.19, -8.7, 1.87, 14.17], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": 2.11, \"box_2d\": [395.29, 183.24, 499.6, 226.22], \"box_3d\": [1.42, 1.67, 4.53, -5.94, 1.83, 26.81], \"ry\": 1.89}, {\"category\": \"Car\", \"angle\": -0.77, \"box_2d\": [772.82, 166.81, 840.9, 194.19], \"box_3d\": [1.54, 1.63, 3.74, 11.5, 1.2, 42.19], \"ry\": -0.5}]\n```" + } + ] + }, + { + "id": 1033, + "data_source": "Mono3DRefer", + "scene_name": "005456", + "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\": [324.9, 192.77, 483.74, 304.13], \"box_3d\": [1.45, 1.56, 3.47, -3.17, 1.81, 11.61], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1034, + "data_source": "Mono3DRefer", + "scene_name": "005466", + "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\": [729.89, 166.12, 1034.32, 360.25], \"box_3d\": [1.49, 1.64, 4.17, 2.41, 1.47, 7.68], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -2.47, \"box_2d\": [0.0, 191.94, 191.11, 295.06], \"box_3d\": [1.47, 1.58, 3.55, -8.88, 1.8, 11.35], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": -1.51, \"box_2d\": [479.54, 168.98, 548.27, 229.34], \"box_3d\": [1.6, 1.75, 3.89, -2.78, 1.52, 21.29], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [661.2, 168.09, 749.79, 232.4], \"box_3d\": [1.59, 1.64, 4.03, 2.5, 1.5, 20.07], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [650.56, 171.14, 709.97, 216.45], \"box_3d\": [1.5, 1.8, 4.5, 2.45, 1.48, 26.43], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [528.6, 174.1, 568.41, 206.09], \"box_3d\": [1.46, 1.56, 3.21, -2.97, 1.55, 34.94], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [638.0, 163.18, 675.9, 201.47], \"box_3d\": [1.83, 1.75, 4.52, 2.32, 1.39, 36.98], \"ry\": -1.54}]\n```" + } + ] + }, + { + "id": 1035, + "data_source": "Mono3DRefer", + "scene_name": "005478", + "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\": [466.4, 155.43, 569.53, 231.44], \"box_3d\": [1.77, 1.75, 4.67, -2.34, 1.39, 19.25], \"ry\": -1.48}, {\"category\": \"Car\", \"angle\": -0.69, \"box_2d\": [994.19, 127.25, 1241.0, 270.94], \"box_3d\": [1.47, 1.52, 4.43, 6.96, 1.0, 8.21], \"ry\": -0.0}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [551.07, 156.42, 600.78, 197.8], \"box_3d\": [1.6, 1.68, 3.94, -1.39, 0.98, 30.09], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [608.02, 155.07, 631.32, 173.77], \"box_3d\": [1.42, 1.66, 4.11, 0.81, 0.05, 58.95], \"ry\": 1.64}]\n```" + } + ] + }, + { + "id": 1036, + "data_source": "Mono3DRefer", + "scene_name": "005485", + "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\": [500.88, 175.87, 563.24, 207.67], \"box_3d\": [1.37, 1.78, 4.65, -3.59, 1.54, 33.77], \"ry\": 1.72}]\n```" + } + ] + }, + { + "id": 1037, + "data_source": "Mono3DRefer", + "scene_name": "005486", + "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\": 2.02, \"box_2d\": [8.49, 174.1, 410.14, 374.0], \"box_3d\": [1.56, 1.68, 3.69, -3.31, 1.59, 6.78], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.17, \"box_2d\": [774.02, 200.57, 1241.0, 374.0], \"box_3d\": [1.44, 1.64, 4.5, 2.73, 1.76, 6.27], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [405.06, 174.56, 505.82, 251.51], \"box_3d\": [1.46, 1.51, 3.24, -3.24, 1.52, 15.46], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.43, \"box_2d\": [682.83, 179.89, 762.83, 235.31], \"box_3d\": [1.38, 1.59, 4.19, 3.01, 1.58, 20.22], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [474.14, 174.19, 542.37, 222.85], \"box_3d\": [1.38, 1.69, 3.74, -3.13, 1.44, 22.56], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [652.24, 173.49, 684.56, 202.01], \"box_3d\": [1.51, 1.56, 3.81, 3.21, 1.57, 40.46], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 1038, + "data_source": "Mono3DRefer", + "scene_name": "005493", + "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\": [0.0, 173.54, 369.3, 374.0], \"box_3d\": [1.68, 1.63, 3.9, -3.12, 1.72, 5.11], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.43, \"box_2d\": [355.02, 186.44, 389.32, 212.23], \"box_3d\": [1.65, 1.75, 3.39, -16.18, 2.59, 48.92], \"ry\": 1.12}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [395.3, 187.82, 481.31, 255.67], \"box_3d\": [1.47, 1.7, 4.39, -4.31, 1.88, 18.5], \"ry\": 1.44}]\n```" + } + ] + }, + { + "id": 1039, + "data_source": "Mono3DRefer", + "scene_name": "005520", + "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\": [7.6, 181.39, 147.73, 235.06], \"box_3d\": [1.5, 1.47, 3.62, -16.3, 1.78, 22.26], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 1040, + "data_source": "Mono3DRefer", + "scene_name": "005522", + "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\": [427.24, 187.28, 519.63, 249.88], \"box_3d\": [1.44, 1.72, 4.14, -3.58, 1.86, 19.38], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1041, + "data_source": "Mono3DRefer", + "scene_name": "005545", + "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\": 1.63, \"box_2d\": [582.37, 162.49, 615.58, 189.9], \"box_3d\": [1.49, 1.68, 4.08, -0.09, 0.45, 41.51], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 1042, + "data_source": "Mono3DRefer", + "scene_name": "005550", + "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\": [541.54, 176.64, 568.0, 201.51], \"box_3d\": [1.7, 1.72, 4.11, -3.96, 1.99, 51.93], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 1043, + "data_source": "Mono3DRefer", + "scene_name": "005558", + "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\": -1.66, \"box_2d\": [641.99, 169.33, 681.31, 200.83], \"box_3d\": [1.6, 1.76, 3.84, 2.83, 0.78, 38.81], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [572.31, 174.05, 613.93, 211.06], \"box_3d\": [1.39, 1.56, 3.45, -0.6, 0.96, 28.94], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [569.91, 172.51, 601.27, 199.16], \"box_3d\": [1.41, 1.66, 3.76, -1.31, 0.73, 40.37], \"ry\": -1.63}]\n```" + } + ] + }, + { + "id": 1044, + "data_source": "Mono3DRefer", + "scene_name": "005563", + "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\": [516.7, 180.7, 552.08, 217.25], \"box_3d\": [1.68, 1.63, 3.9, -3.8, 2.08, 35.59], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [489.89, 181.89, 521.85, 203.8], \"box_3d\": [1.47, 1.7, 4.39, -7.46, 2.12, 51.25], \"ry\": 1.3}]\n```" + } + ] + }, + { + "id": 1045, + "data_source": "Mono3DRefer", + "scene_name": "005571", + "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\": [592.47, 173.46, 619.64, 200.32], \"box_3d\": [1.65, 1.67, 3.64, -0.31, 1.71, 46.6], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.29, \"box_2d\": [262.0, 180.24, 490.69, 343.09], \"box_3d\": [1.61, 1.51, 4.5, -2.76, 1.72, 9.47], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.26, \"box_2d\": [0.0, 195.43, 92.94, 284.22], \"box_3d\": [1.61, 1.72, 3.65, -12.34, 2.1, 14.15], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1046, + "data_source": "Mono3DRefer", + "scene_name": "005585", + "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\": 0.51, \"box_2d\": [114.21, 193.45, 443.79, 294.37], \"box_3d\": [1.38, 1.66, 4.38, -5.02, 1.74, 11.14], \"ry\": 0.09}, {\"category\": \"Car\", \"angle\": -0.54, \"box_2d\": [861.34, 171.86, 1241.0, 360.18], \"box_3d\": [1.48, 1.86, 4.18, 4.67, 1.48, 6.61], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": -0.46, \"box_2d\": [784.17, 156.61, 1163.94, 299.11], \"box_3d\": [1.74, 1.66, 4.37, 4.75, 1.57, 9.91], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": -2.82, \"box_2d\": [358.42, 184.4, 516.0, 236.6], \"box_3d\": [1.47, 1.67, 4.28, -5.16, 1.84, 21.64], \"ry\": -3.05}, {\"category\": \"Car\", \"angle\": -3.04, \"box_2d\": [412.21, 181.08, 535.6, 220.68], \"box_3d\": [1.38, 1.67, 4.37, -5.03, 1.71, 26.93], \"ry\": 3.06}]\n```" + } + ] + }, + { + "id": 1047, + "data_source": "Mono3DRefer", + "scene_name": "005587", + "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\": [593.84, 173.7, 624.99, 204.48], \"box_3d\": [1.65, 1.67, 3.64, -0.03, 1.72, 40.89], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 1048, + "data_source": "Mono3DRefer", + "scene_name": "005597", + "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\": [536.05, 173.58, 563.77, 200.01], \"box_3d\": [1.7, 1.72, 4.11, -4.06, 1.78, 48.97], \"ry\": 1.52}]\n```" + } + ] + }, + { + "id": 1049, + "data_source": "Mono3DRefer", + "scene_name": "005600", + "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\": [130.72, 182.66, 430.59, 359.6], \"box_3d\": [1.7, 1.82, 4.45, -3.82, 1.84, 9.27], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [662.02, 166.67, 700.92, 201.74], \"box_3d\": [1.57, 1.56, 2.62, 3.36, 1.31, 33.93], \"ry\": -1.38}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [612.62, 167.63, 649.49, 189.56], \"box_3d\": [1.43, 1.68, 4.19, 1.47, 1.11, 49.53], \"ry\": 1.81}]\n```" + } + ] + }, + { + "id": 1050, + "data_source": "Mono3DRefer", + "scene_name": "005614", + "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\": [945.93, 180.13, 984.8, 212.53], \"box_3d\": [1.43, 1.55, 3.91, 16.87, 1.79, 34.29], \"ry\": -1.1}]\n```" + } + ] + }, + { + "id": 1051, + "data_source": "Mono3DRefer", + "scene_name": "005618", + "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, 199.58, 248.12, 334.54], \"box_3d\": [1.47, 1.58, 3.55, -6.79, 1.84, 9.25], \"ry\": -2.91}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [602.27, 175.1, 687.7, 248.26], \"box_3d\": [1.6, 1.75, 3.89, 0.93, 1.67, 17.8], \"ry\": -1.43}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [826.11, 170.63, 964.02, 255.23], \"box_3d\": [1.59, 1.64, 4.03, 5.95, 1.58, 15.66], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [805.45, 173.53, 896.11, 228.75], \"box_3d\": [1.5, 1.8, 4.5, 7.15, 1.55, 21.98], \"ry\": -1.43}, {\"category\": \"Car\", \"angle\": -1.47, \"box_2d\": [664.36, 179.28, 707.87, 215.01], \"box_3d\": [1.46, 1.56, 3.21, 3.31, 1.75, 31.32], \"ry\": -1.37}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [786.87, 166.52, 833.84, 210.57], \"box_3d\": [1.83, 1.75, 4.52, 8.87, 1.59, 32.32], \"ry\": -1.36}, {\"category\": \"Car\", \"angle\": -2.15, \"box_2d\": [1013.19, 162.64, 1241.0, 374.0], \"box_3d\": [1.49, 1.64, 4.17, 3.59, 1.44, 3.51], \"ry\": -1.39}]\n```" + } + ] + }, + { + "id": 1052, + "data_source": "Mono3DRefer", + "scene_name": "005635", + "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\": -1.5, \"box_2d\": [737.29, 179.57, 791.89, 225.64], \"box_3d\": [1.6, 1.76, 3.84, 5.96, 1.4, 27.19], \"ry\": -1.29}, {\"category\": \"Car\", \"angle\": -1.31, \"box_2d\": [57.47, 211.17, 140.91, 253.16], \"box_3d\": [1.36, 1.66, 4.18, -20.29, 2.5, 28.82], \"ry\": -1.92}, {\"category\": \"Car\", \"angle\": -1.39, \"box_2d\": [141.73, 200.37, 195.88, 237.95], \"box_3d\": [1.7, 1.76, 3.21, -22.19, 2.52, 36.41], \"ry\": -1.93}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [798.0, 180.12, 827.44, 200.15], \"box_3d\": [1.39, 1.56, 3.45, 14.88, 1.03, 52.15], \"ry\": -1.15}]\n```" + } + ] + }, + { + "id": 1053, + "data_source": "Mono3DRefer", + "scene_name": "005655", + "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\": [531.41, 172.47, 555.54, 194.19], \"box_3d\": [1.65, 1.56, 3.98, -5.26, 1.65, 57.22], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1054, + "data_source": "Mono3DRefer", + "scene_name": "005657", + "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\": [502.53, 184.82, 540.39, 224.32], \"box_3d\": [1.68, 1.63, 3.9, -4.14, 2.26, 33.45], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [478.04, 186.53, 512.48, 210.62], \"box_3d\": [1.47, 1.7, 4.39, -7.64, 2.39, 47.59], \"ry\": 1.29}]\n```" + } + ] + }, + { + "id": 1055, + "data_source": "Mono3DRefer", + "scene_name": "005678", + "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\": [249.23, 193.18, 470.25, 328.94], \"box_3d\": [1.52, 1.73, 4.28, -3.44, 1.87, 10.71], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [514.03, 184.36, 560.4, 217.89], \"box_3d\": [1.44, 1.7, 3.65, -3.37, 2.0, 33.68], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 1056, + "data_source": "Mono3DRefer", + "scene_name": "005690", + "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\": [91.58, 189.09, 342.74, 277.39], \"box_3d\": [1.41, 1.54, 3.6, -6.87, 1.72, 12.8], \"ry\": 3.1}]\n```" + } + ] + }, + { + "id": 1057, + "data_source": "Mono3DRefer", + "scene_name": "005701", + "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\": [541.55, 179.49, 564.85, 199.26], \"box_3d\": [1.45, 1.53, 3.98, -4.37, 1.98, 55.65], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [492.74, 178.54, 540.61, 218.41], \"box_3d\": [1.65, 1.56, 3.98, -4.12, 1.91, 32.07], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1058, + "data_source": "Mono3DRefer", + "scene_name": "005710", + "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\": [530.02, 170.72, 565.05, 205.31], \"box_3d\": [1.97, 1.87, 4.53, -3.76, 1.88, 43.8], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 1059, + "data_source": "Mono3DRefer", + "scene_name": "005713", + "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\": [594.98, 177.0, 625.69, 207.34], \"box_3d\": [1.65, 1.67, 3.64, 0.03, 1.9, 41.44], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 1060, + "data_source": "Mono3DRefer", + "scene_name": "005716", + "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\": [565.33, 175.42, 594.26, 193.52], \"box_3d\": [1.56, 1.56, 3.6, -2.68, 1.81, 64.46], \"ry\": 1.84}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [358.32, 166.3, 504.92, 281.1], \"box_3d\": [1.97, 1.87, 4.53, -3.47, 1.89, 14.78], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [454.44, 187.17, 528.31, 239.57], \"box_3d\": [1.47, 1.62, 3.79, -3.7, 1.95, 22.85], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [520.68, 178.2, 556.95, 211.66], \"box_3d\": [1.7, 1.53, 3.82, -3.83, 2.01, 38.99], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1061, + "data_source": "Mono3DRefer", + "scene_name": "005720", + "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\": [651.01, 178.38, 675.58, 201.47], \"box_3d\": [1.54, 1.63, 3.67, 3.74, 1.94, 50.56], \"ry\": -1.48}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [746.73, 165.7, 870.86, 273.32], \"box_3d\": [1.88, 1.57, 3.71, 3.82, 1.79, 14.58], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [804.83, 188.4, 1023.41, 348.42], \"box_3d\": [1.5, 1.56, 3.69, 3.41, 1.72, 8.9], \"ry\": -1.43}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [711.99, 176.85, 775.63, 231.93], \"box_3d\": [1.7, 1.62, 3.76, 4.4, 1.85, 24.35], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.63, \"box_2d\": [700.81, 182.37, 736.53, 212.59], \"box_3d\": [1.4, 1.53, 3.56, 5.32, 1.89, 35.84], \"ry\": -1.48}]\n```" + } + ] + }, + { + "id": 1062, + "data_source": "Mono3DRefer", + "scene_name": "005734", + "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\": -0.93, \"box_2d\": [28.99, 180.6, 134.87, 225.12], \"box_3d\": [1.57, 1.57, 3.32, -20.01, 1.88, 27.45], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 2.14, \"box_2d\": [123.57, 179.74, 222.66, 217.38], \"box_3d\": [1.57, 1.2, 5.24, -19.82, 1.89, 32.96], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [471.89, 182.18, 534.06, 224.86], \"box_3d\": [1.41, 1.69, 4.36, -3.87, 1.77, 26.49], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 2.35, \"box_2d\": [0.0, 167.6, 239.16, 374.0], \"box_3d\": [1.72, 1.66, 4.32, -3.75, 1.71, 3.46], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [589.75, 174.88, 628.33, 213.31], \"box_3d\": [1.62, 1.63, 4.5, -0.07, 1.74, 33.02], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 1063, + "data_source": "Mono3DRefer", + "scene_name": "005752", + "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\": [545.95, 180.02, 570.61, 201.91], \"box_3d\": [1.66, 1.67, 4.49, -4.11, 2.24, 57.6], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.25, \"box_2d\": [357.3, 183.33, 389.16, 202.24], \"box_3d\": [1.56, 1.72, 3.09, -20.39, 2.48, 62.2], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [584.33, 179.73, 621.78, 217.03], \"box_3d\": [1.62, 1.63, 4.5, -0.34, 1.96, 33.95], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 1064, + "data_source": "Mono3DRefer", + "scene_name": "005753", + "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\": [618.68, 175.95, 648.15, 195.36], \"box_3d\": [1.44, 1.68, 4.39, 1.84, 1.7, 56.13], \"ry\": 1.74}]\n```" + } + ] + }, + { + "id": 1065, + "data_source": "Mono3DRefer", + "scene_name": "005768", + "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\": -0.47, \"box_2d\": [638.8, 188.15, 1061.82, 336.76], \"box_3d\": [1.45, 1.68, 4.53, 2.7, 1.67, 8.62], \"ry\": -0.18}]\n```" + } + ] + }, + { + "id": 1066, + "data_source": "Mono3DRefer", + "scene_name": "005774", + "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\": [243.36, 171.66, 456.35, 309.38], \"box_3d\": [1.66, 1.67, 4.49, -3.7, 1.68, 11.05], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.06, \"box_2d\": [166.46, 179.87, 236.52, 213.07], \"box_3d\": [1.56, 1.72, 3.09, -20.24, 1.92, 35.82], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [487.19, 177.53, 538.69, 214.86], \"box_3d\": [1.46, 1.59, 4.12, -4.08, 1.67, 30.58], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.18, \"box_2d\": [318.92, 175.8, 358.01, 197.76], \"box_3d\": [1.57, 1.57, 3.32, -20.26, 1.81, 53.9], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [341.65, 170.37, 380.85, 190.83], \"box_3d\": [1.57, 1.2, 5.24, -20.11, 1.41, 58.48], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [534.03, 173.39, 563.14, 199.92], \"box_3d\": [1.72, 1.66, 4.32, -4.19, 1.79, 49.47], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [584.99, 173.97, 622.61, 211.13], \"box_3d\": [1.62, 1.63, 4.5, -0.27, 1.7, 34.06], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 1067, + "data_source": "Mono3DRefer", + "scene_name": "005778", + "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\": 2.62, \"box_2d\": [776.35, 150.41, 1162.94, 308.93], \"box_3d\": [1.85, 1.68, 4.34, 4.56, 1.6, 9.58], \"ry\": 3.05}, {\"category\": \"Car\", \"angle\": -2.63, \"box_2d\": [0.0, 196.03, 287.15, 302.54], \"box_3d\": [1.43, 1.56, 3.85, -7.28, 1.83, 11.06], \"ry\": 3.08}, {\"category\": \"Car\", \"angle\": -2.86, \"box_2d\": [214.4, 189.49, 379.35, 251.68], \"box_3d\": [1.42, 1.62, 3.5, -7.84, 1.88, 18.23], \"ry\": 3.02}, {\"category\": \"Car\", \"angle\": -2.97, \"box_2d\": [361.61, 184.12, 456.46, 219.96], \"box_3d\": [1.41, 1.54, 3.6, -8.38, 1.9, 30.18], \"ry\": 3.04}, {\"category\": \"Car\", \"angle\": -0.88, \"box_2d\": [1041.09, 182.72, 1241.0, 374.0], \"box_3d\": [1.49, 1.66, 4.16, 5.31, 1.55, 4.68], \"ry\": -0.06}]\n```" + } + ] + }, + { + "id": 1068, + "data_source": "Mono3DRefer", + "scene_name": "005788", + "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\": [688.59, 183.2, 719.38, 208.7], \"box_3d\": [1.54, 1.63, 3.67, 6.06, 2.23, 46.39], \"ry\": -1.35}, {\"category\": \"Car\", \"angle\": 2.18, \"box_2d\": [107.57, 194.69, 332.42, 305.08], \"box_3d\": [1.56, 1.59, 3.69, -6.61, 1.99, 12.62], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": 2.04, \"box_2d\": [279.47, 176.19, 424.55, 268.22], \"box_3d\": [1.93, 1.59, 4.01, -6.02, 2.03, 17.25], \"ry\": 1.71}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [715.67, 182.71, 795.41, 243.42], \"box_3d\": [1.58, 1.67, 3.84, 4.1, 1.89, 21.07], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [650.8, 183.18, 683.67, 204.96], \"box_3d\": [1.53, 1.67, 3.78, 4.26, 2.31, 53.47], \"ry\": 1.86}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [721.95, 169.71, 770.2, 232.13], \"box_3d\": [2.05, 1.5, 3.83, 4.76, 1.98, 25.75], \"ry\": -1.43}]\n```" + } + ] + }, + { + "id": 1069, + "data_source": "Mono3DRefer", + "scene_name": "005805", + "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\": [652.14, 183.67, 683.48, 208.32], \"box_3d\": [1.41, 1.58, 4.36, 3.49, 2.09, 44.47], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 1070, + "data_source": "Mono3DRefer", + "scene_name": "005809", + "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\": [137.45, 192.13, 456.93, 373.43], \"box_3d\": [1.44, 1.68, 4.39, -3.15, 1.7, 8.25], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1071, + "data_source": "Mono3DRefer", + "scene_name": "005821", + "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\": [0.0, 206.06, 363.26, 374.0], \"box_3d\": [1.39, 1.48, 3.76, -3.71, 1.78, 6.82], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [499.08, 182.83, 554.34, 222.05], \"box_3d\": [1.46, 1.75, 4.23, -3.37, 1.89, 29.61], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1072, + "data_source": "Mono3DRefer", + "scene_name": "005823", + "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\": [519.6, 181.7, 555.36, 210.87], \"box_3d\": [1.45, 1.53, 3.98, -3.85, 1.94, 38.54], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [357.29, 182.31, 485.27, 274.32], \"box_3d\": [1.65, 1.56, 3.98, -3.82, 1.86, 15.1], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1073, + "data_source": "Mono3DRefer", + "scene_name": "005829", + "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\": 1.17, \"box_2d\": [752.68, 140.24, 1004.25, 297.51], \"box_3d\": [1.79, 1.72, 4.35, 3.49, 1.44, 10.48], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [244.28, 195.26, 426.5, 314.58], \"box_3d\": [1.45, 1.49, 4.07, -4.14, 1.85, 11.42], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [412.92, 189.48, 489.95, 243.04], \"box_3d\": [1.27, 1.54, 3.58, -4.28, 1.75, 19.73], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [453.25, 175.8, 513.27, 225.24], \"box_3d\": [1.63, 1.65, 3.91, -4.53, 1.76, 26.07], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [591.93, 173.76, 621.62, 200.29], \"box_3d\": [1.46, 1.53, 3.17, -0.25, 1.54, 41.74], \"ry\": -1.63}]\n```" + } + ] + }, + { + "id": 1074, + "data_source": "Mono3DRefer", + "scene_name": "005833", + "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\": [363.49, 180.01, 394.51, 198.62], \"box_3d\": [1.57, 1.57, 3.32, -20.25, 2.21, 63.32], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [586.19, 175.8, 623.41, 212.88], \"box_3d\": [1.62, 1.63, 4.5, -0.25, 1.78, 34.14], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [479.58, 174.91, 539.02, 222.74], \"box_3d\": [1.66, 1.67, 4.49, -3.79, 1.77, 27.58], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.15, \"box_2d\": [262.4, 181.94, 312.13, 208.14], \"box_3d\": [1.56, 1.72, 3.09, -20.18, 2.14, 45.16], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [531.34, 179.2, 561.7, 202.7], \"box_3d\": [1.46, 1.59, 4.12, -4.15, 1.89, 47.37], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1075, + "data_source": "Mono3DRefer", + "scene_name": "005842", + "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\": -0.52, \"box_2d\": [906.51, 146.5, 1241.0, 246.56], \"box_3d\": [1.47, 1.52, 4.43, 7.28, 1.1, 11.63], \"ry\": 0.03}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [577.99, 168.76, 621.69, 205.41], \"box_3d\": [1.6, 1.68, 3.94, -0.45, 1.44, 33.69], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [628.41, 166.53, 650.53, 183.72], \"box_3d\": [1.42, 1.66, 4.11, 2.57, 0.92, 62.45], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": -1.38, \"box_2d\": [512.71, 170.56, 595.87, 233.0], \"box_3d\": [1.77, 1.75, 4.67, -1.68, 1.73, 22.89], \"ry\": -1.46}, {\"category\": \"Car\", \"angle\": -1.97, \"box_2d\": [0.0, 233.22, 124.91, 321.47], \"box_3d\": [1.72, 1.39, 3.07, -13.0, 3.23, 16.94], \"ry\": -2.62}, {\"category\": \"Car\", \"angle\": -0.74, \"box_2d\": [1122.31, 139.29, 1241.0, 278.63], \"box_3d\": [1.48, 1.63, 3.98, 8.54, 1.11, 8.42], \"ry\": 0.03}]\n```" + } + ] + }, + { + "id": 1076, + "data_source": "Mono3DRefer", + "scene_name": "005845", + "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\": -1.12, \"box_2d\": [149.83, 199.6, 235.11, 235.87], \"box_3d\": [1.42, 1.7, 4.14, -18.96, 2.7, 32.91], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -1.06, \"box_2d\": [83.01, 198.32, 176.54, 237.07], \"box_3d\": [1.52, 1.71, 4.11, -21.67, 2.74, 32.71], \"ry\": -1.64}]\n```" + } + ] + }, + { + "id": 1077, + "data_source": "Mono3DRefer", + "scene_name": "005847", + "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\": [1037.44, 98.98, 1241.0, 374.0], \"box_3d\": [1.85, 1.68, 4.34, 4.98, 1.5, 3.98], \"ry\": 3.1}, {\"category\": \"Car\", \"angle\": -2.34, \"box_2d\": [0.0, 213.55, 96.44, 374.0], \"box_3d\": [1.43, 1.56, 3.85, -6.84, 1.83, 6.03], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -2.72, \"box_2d\": [92.2, 197.76, 334.3, 286.74], \"box_3d\": [1.42, 1.62, 3.5, -7.11, 1.92, 13.13], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": -2.9, \"box_2d\": [343.97, 185.45, 459.71, 228.66], \"box_3d\": [1.41, 1.54, 3.6, -7.23, 1.87, 25.14], \"ry\": 3.1}]\n```" + } + ] + }, + { + "id": 1078, + "data_source": "Mono3DRefer", + "scene_name": "005851", + "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\": 1.54, \"box_2d\": [390.06, 192.98, 429.51, 230.07], \"box_3d\": [1.65, 1.75, 3.39, -9.88, 2.67, 35.35], \"ry\": 1.27}]\n```" + } + ] + }, + { + "id": 1079, + "data_source": "Mono3DRefer", + "scene_name": "005854", + "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\": [342.91, 191.45, 506.77, 303.07], \"box_3d\": [1.46, 1.75, 4.23, -2.92, 1.82, 12.12], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 1080, + "data_source": "Mono3DRefer", + "scene_name": "005860", + "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\": -1.53, \"box_2d\": [659.5, 178.82, 685.37, 202.1], \"box_3d\": [1.54, 1.63, 3.67, 4.35, 1.97, 50.12], \"ry\": -1.44}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [739.74, 168.08, 839.58, 257.25], \"box_3d\": [1.88, 1.57, 3.71, 4.12, 1.81, 17.21], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [776.98, 185.34, 923.77, 299.82], \"box_3d\": [1.5, 1.56, 3.69, 3.62, 1.72, 11.57], \"ry\": -1.43}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [715.56, 176.77, 771.77, 226.12], \"box_3d\": [1.7, 1.62, 3.76, 4.89, 1.87, 26.95], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [707.92, 182.32, 740.49, 210.4], \"box_3d\": [1.4, 1.53, 3.56, 6.01, 1.92, 38.43], \"ry\": -1.46}]\n```" + } + ] + }, + { + "id": 1081, + "data_source": "Mono3DRefer", + "scene_name": "005871", + "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\": [689.55, 185.3, 720.4, 210.89], \"box_3d\": [1.54, 1.63, 3.67, 6.13, 2.37, 46.49], \"ry\": -1.35}, {\"category\": \"Car\", \"angle\": 2.24, \"box_2d\": [3.11, 196.35, 287.74, 329.4], \"box_3d\": [1.56, 1.59, 3.69, -6.7, 1.96, 10.85], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [227.96, 176.3, 398.6, 280.92], \"box_3d\": [1.93, 1.59, 4.01, -6.17, 2.02, 15.42], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [718.5, 185.49, 806.6, 252.84], \"box_3d\": [1.58, 1.67, 3.84, 3.93, 1.94, 19.33], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [640.53, 186.68, 675.43, 210.52], \"box_3d\": [1.53, 1.67, 3.78, 3.31, 2.5, 49.51], \"ry\": 1.83}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [721.09, 172.29, 775.95, 239.52], \"box_3d\": [2.05, 1.5, 3.83, 4.51, 2.06, 24.05], \"ry\": -1.45}]\n```" + } + ] + }, + { + "id": 1082, + "data_source": "Mono3DRefer", + "scene_name": "005884", + "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\": [535.27, 165.72, 590.08, 209.97], \"box_3d\": [1.6, 1.68, 3.94, -1.81, 1.36, 28.25], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [597.37, 165.53, 621.4, 184.37], \"box_3d\": [1.42, 1.66, 4.11, -0.03, 0.89, 57.14], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": -1.34, \"box_2d\": [437.74, 165.04, 555.64, 250.28], \"box_3d\": [1.77, 1.75, 4.67, -2.59, 1.64, 17.4], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -0.81, \"box_2d\": [1077.66, 122.42, 1241.0, 308.94], \"box_3d\": [1.47, 1.52, 4.43, 6.86, 1.06, 6.47], \"ry\": -0.02}]\n```" + } + ] + }, + { + "id": 1083, + "data_source": "Mono3DRefer", + "scene_name": "005885", + "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\": [764.11, 191.63, 1013.31, 356.61], \"box_3d\": [1.51, 1.56, 3.81, 3.04, 1.78, 8.83], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [706.62, 181.61, 842.33, 276.23], \"box_3d\": [1.57, 1.68, 3.83, 3.0, 1.76, 14.11], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.62, \"box_2d\": [496.08, 181.11, 543.39, 226.64], \"box_3d\": [1.52, 1.5, 3.85, -3.26, 1.83, 26.27], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [654.88, 183.19, 699.53, 217.67], \"box_3d\": [1.43, 1.59, 3.68, 2.92, 1.9, 32.34], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [526.7, 182.15, 560.69, 207.77], \"box_3d\": [1.29, 1.59, 4.12, -3.59, 1.81, 39.25], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 1084, + "data_source": "Mono3DRefer", + "scene_name": "005901", + "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\": [705.93, 189.12, 855.05, 284.64], \"box_3d\": [1.41, 1.51, 3.45, 2.82, 1.72, 12.82], \"ry\": -1.68}, {\"category\": \"Car\", \"angle\": -2.5, \"box_2d\": [0.0, 194.48, 281.46, 330.2], \"box_3d\": [1.44, 1.64, 4.01, -6.42, 1.74, 8.76], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.57, \"box_2d\": [50.51, 187.48, 337.69, 294.42], \"box_3d\": [1.52, 1.54, 3.63, -6.4, 1.77, 11.24], \"ry\": 0.07}, {\"category\": \"Car\", \"angle\": -2.68, \"box_2d\": [116.68, 190.51, 365.54, 276.35], \"box_3d\": [1.43, 1.6, 3.78, -6.74, 1.79, 13.35], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -2.72, \"box_2d\": [208.49, 186.66, 407.25, 260.89], \"box_3d\": [1.48, 1.59, 3.64, -6.5, 1.81, 15.64], \"ry\": -3.1}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [651.65, 183.89, 727.38, 235.22], \"box_3d\": [1.42, 1.63, 4.15, 2.35, 1.79, 22.6], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": 0.26, \"box_2d\": [378.18, 184.11, 503.94, 227.12], \"box_3d\": [1.47, 1.65, 4.15, -6.11, 1.9, 26.21], \"ry\": 0.03}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [644.43, 182.19, 690.79, 213.99], \"box_3d\": [1.35, 1.58, 4.05, 2.57, 1.8, 33.36], \"ry\": -1.63}, {\"category\": \"Car\", \"angle\": -2.93, \"box_2d\": [391.71, 182.17, 490.71, 222.71], \"box_3d\": [1.53, 1.5, 3.61, -6.73, 1.93, 28.83], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -2.94, \"box_2d\": [408.9, 174.11, 491.57, 215.32], \"box_3d\": [1.7, 1.61, 3.21, -6.88, 1.78, 31.12], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [630.14, 174.8, 658.28, 200.12], \"box_3d\": [1.76, 1.71, 4.35, 2.44, 1.93, 52.81], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 1085, + "data_source": "Mono3DRefer", + "scene_name": "005920", + "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\": [595.08, 183.24, 649.48, 227.88], \"box_3d\": [1.36, 1.69, 3.38, 0.35, 1.73, 24.25], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [422.95, 180.68, 460.51, 203.35], \"box_3d\": [1.59, 1.72, 3.86, -12.36, 2.18, 53.13], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [580.98, 179.74, 619.18, 214.59], \"box_3d\": [1.52, 1.67, 3.61, -0.45, 1.85, 33.54], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 1086, + "data_source": "Mono3DRefer", + "scene_name": "005930", + "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\": [452.53, 189.5, 505.85, 239.63], \"box_3d\": [1.65, 1.75, 3.39, -4.75, 2.29, 26.36], \"ry\": 1.44}]\n```" + } + ] + }, + { + "id": 1087, + "data_source": "Mono3DRefer", + "scene_name": "005941", + "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\": [522.94, 182.65, 561.84, 212.67], \"box_3d\": [1.52, 1.73, 4.28, -3.67, 2.07, 39.47], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1088, + "data_source": "Mono3DRefer", + "scene_name": "005955", + "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\": -1.17, \"box_2d\": [117.19, 200.33, 444.28, 374.0], \"box_3d\": [1.4, 1.67, 3.72, -3.1, 1.75, 7.59], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [631.88, 183.42, 691.01, 231.76], \"box_3d\": [1.49, 1.61, 3.74, 1.64, 1.86, 24.54], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 1089, + "data_source": "Mono3DRefer", + "scene_name": "005956", + "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\": [731.85, 184.44, 898.26, 330.53], \"box_3d\": [1.57, 1.73, 4.15, 2.57, 1.76, 10.08], \"ry\": 1.73}]\n```" + } + ] + }, + { + "id": 1090, + "data_source": "Mono3DRefer", + "scene_name": "005967", + "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\": -2.8, \"box_2d\": [290.05, 171.95, 452.72, 247.73], \"box_3d\": [1.86, 1.69, 3.69, -6.21, 1.87, 18.92], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": -2.87, \"box_2d\": [342.75, 178.04, 482.44, 232.81], \"box_3d\": [1.68, 1.69, 4.07, -6.39, 1.87, 23.5], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [797.25, 158.53, 861.02, 201.3], \"box_3d\": [2.04, 1.99, 4.82, 11.14, 1.38, 37.11], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -2.92, \"box_2d\": [388.8, 179.6, 502.32, 219.2], \"box_3d\": [1.48, 1.56, 4.12, -6.47, 1.77, 28.5], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -2.94, \"box_2d\": [416.24, 174.03, 521.81, 213.38], \"box_3d\": [1.74, 1.75, 4.57, -6.55, 1.83, 33.68], \"ry\": -3.13}]\n```" + } + ] + }, + { + "id": 1091, + "data_source": "Mono3DRefer", + "scene_name": "005990", + "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\": [0.0, 202.0, 203.28, 374.0], \"box_3d\": [1.7, 1.43, 3.2, -3.18, 1.86, 2.68], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.53, \"box_2d\": [525.17, 179.93, 552.0, 206.03], \"box_3d\": [1.68, 1.63, 3.9, -4.91, 2.18, 49.03], \"ry\": 1.43}]\n```" + } + ] + }, + { + "id": 1092, + "data_source": "Mono3DRefer", + "scene_name": "005993", + "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\": 1.54, \"box_2d\": [542.15, 187.44, 571.87, 217.78], \"box_3d\": [1.68, 1.63, 3.9, -3.24, 2.58, 43.29], \"ry\": 1.46}]\n```" + } + ] + }, + { + "id": 1093, + "data_source": "Mono3DRefer", + "scene_name": "006003", + "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\": [796.74, 177.46, 1233.37, 374.0], \"box_3d\": [1.51, 1.75, 3.78, 2.99, 1.57, 6.41], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.19, \"box_2d\": [0.0, 209.3, 252.64, 374.0], \"box_3d\": [1.36, 1.51, 4.02, -6.11, 1.89, 8.65], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [277.0, 179.06, 412.99, 264.72], \"box_3d\": [1.74, 1.65, 4.11, -6.03, 1.89, 16.83], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [532.42, 179.56, 568.89, 204.22], \"box_3d\": [1.41, 1.76, 4.4, -3.58, 1.83, 43.88], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [371.87, 180.4, 457.22, 235.45], \"box_3d\": [1.61, 1.64, 4.0, -6.24, 1.86, 23.31], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [448.51, 183.28, 499.25, 215.99], \"box_3d\": [1.43, 1.7, 3.74, -6.41, 1.94, 34.17], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [635.41, 174.46, 659.61, 195.4], \"box_3d\": [1.55, 1.66, 4.15, 2.86, 1.7, 55.95], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.97, \"box_2d\": [697.34, 167.83, 770.89, 190.79], \"box_3d\": [1.47, 1.7, 4.65, 8.32, 1.17, 48.71], \"ry\": 3.13}]\n```" + } + ] + }, + { + "id": 1094, + "data_source": "Mono3DRefer", + "scene_name": "006021", + "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\": -0.59, \"box_2d\": [688.5, 171.45, 844.08, 240.82], \"box_3d\": [1.62, 1.47, 3.66, 3.94, 1.6, 18.38], \"ry\": -0.38}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [386.5, 195.34, 547.03, 325.13], \"box_3d\": [1.38, 1.43, 3.64, -1.83, 1.74, 10.0], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1095, + "data_source": "Mono3DRefer", + "scene_name": "006022", + "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\": 3.06, \"box_2d\": [488.6, 176.73, 748.49, 265.57], \"box_3d\": [1.47, 1.77, 4.49, 0.07, 1.57, 13.34], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [543.44, 184.37, 570.85, 208.65], \"box_3d\": [1.52, 1.62, 4.5, -3.61, 2.31, 48.47], \"ry\": -1.69}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [448.24, 188.15, 482.79, 212.62], \"box_3d\": [1.42, 1.66, 4.5, -9.19, 2.43, 46.05], \"ry\": 1.48}]\n```" + } + ] + }, + { + "id": 1096, + "data_source": "Mono3DRefer", + "scene_name": "006030", + "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\": -3.14, \"box_2d\": [930.38, 183.43, 1096.8, 240.04], \"box_3d\": [1.54, 1.68, 4.16, 11.87, 1.88, 21.51], \"ry\": -2.64}, {\"category\": \"Car\", \"angle\": -0.78, \"box_2d\": [704.31, 201.57, 783.27, 231.54], \"box_3d\": [1.37, 1.56, 4.19, 7.05, 2.95, 38.0], \"ry\": -0.6}]\n```" + } + ] + }, + { + "id": 1097, + "data_source": "Mono3DRefer", + "scene_name": "006040", + "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\": [724.03, 171.48, 796.27, 237.24], \"box_3d\": [1.56, 1.65, 3.69, 3.83, 1.55, 19.04], \"ry\": -1.42}, {\"category\": \"Car\", \"angle\": 2.17, \"box_2d\": [113.53, 173.48, 413.73, 347.6], \"box_3d\": [1.76, 1.58, 3.68, -4.14, 1.79, 9.24], \"ry\": 1.76}, {\"category\": \"Car\", \"angle\": 2.42, \"box_2d\": [0.0, 192.03, 193.7, 322.96], \"box_3d\": [1.56, 1.62, 4.19, -8.2, 1.88, 10.16], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [391.11, 184.63, 509.79, 236.37], \"box_3d\": [1.42, 1.67, 4.53, -4.92, 1.82, 22.77], \"ry\": 1.86}, {\"category\": \"Car\", \"angle\": -0.59, \"box_2d\": [886.99, 161.48, 969.95, 191.7], \"box_3d\": [1.54, 1.63, 3.74, 16.89, 0.97, 38.38], \"ry\": -0.18}]\n```" + } + ] + }, + { + "id": 1098, + "data_source": "Mono3DRefer", + "scene_name": "006050", + "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\": [0.0, 198.26, 393.11, 374.0], \"box_3d\": [1.44, 1.64, 3.78, -3.54, 1.73, 6.68], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [274.48, 171.48, 486.58, 316.38], \"box_3d\": [1.77, 1.71, 4.28, -3.24, 1.79, 11.02], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [712.86, 185.68, 808.69, 246.67], \"box_3d\": [1.45, 1.71, 3.93, 3.94, 1.82, 19.67], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [460.78, 179.44, 548.05, 248.66], \"box_3d\": [1.73, 1.65, 3.96, -2.87, 1.92, 20.12], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [688.4, 174.43, 763.85, 229.63], \"box_3d\": [1.78, 1.89, 4.37, 3.99, 1.86, 25.68], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [504.42, 180.75, 560.15, 233.03], \"box_3d\": [1.68, 1.51, 3.29, -2.67, 1.96, 25.01], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1099, + "data_source": "Mono3DRefer", + "scene_name": "006104", + "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\": [530.93, 181.36, 566.94, 207.34], \"box_3d\": [1.45, 1.77, 4.04, -3.62, 1.97, 43.0], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1100, + "data_source": "Mono3DRefer", + "scene_name": "006105", + "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\": [512.15, 178.6, 548.32, 215.94], \"box_3d\": [1.68, 1.63, 3.9, -3.91, 1.98, 34.88], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [485.62, 182.01, 519.12, 204.98], \"box_3d\": [1.47, 1.7, 4.39, -7.37, 2.1, 48.99], \"ry\": 1.3}]\n```" + } + ] + }, + { + "id": 1101, + "data_source": "Mono3DRefer", + "scene_name": "006120", + "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\": [258.92, 181.86, 437.49, 300.48], \"box_3d\": [1.7, 1.72, 4.11, -4.35, 1.87, 12.57], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 1102, + "data_source": "Mono3DRefer", + "scene_name": "006126", + "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\": -2.87, \"box_2d\": [384.13, 179.51, 466.67, 216.25], \"box_3d\": [1.61, 1.57, 3.35, -8.45, 1.94, 33.07], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 1.4, \"box_2d\": [676.16, 167.65, 714.78, 197.0], \"box_3d\": [1.79, 1.72, 4.35, 5.44, 1.5, 46.57], \"ry\": 1.51}, {\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [563.71, 178.0, 587.46, 201.02], \"box_3d\": [1.45, 1.49, 4.07, -2.29, 1.8, 47.9], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -2.1, \"box_2d\": [818.29, 185.3, 1241.0, 374.0], \"box_3d\": [1.6, 1.53, 4.18, 2.78, 1.7, 4.83], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [711.02, 183.38, 898.76, 315.03], \"box_3d\": [1.56, 1.57, 3.98, 2.61, 1.74, 10.76], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 1103, + "data_source": "Mono3DRefer", + "scene_name": "006128", + "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\": [412.14, 175.48, 521.7, 265.77], \"box_3d\": [1.97, 1.87, 4.53, -3.47, 2.06, 18.18], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [526.22, 184.95, 559.67, 216.12], \"box_3d\": [1.7, 1.53, 3.82, -3.91, 2.43, 42.28], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1104, + "data_source": "Mono3DRefer", + "scene_name": "006131", + "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\": -2.92, \"box_2d\": [389.48, 177.76, 476.48, 211.08], \"box_3d\": [1.49, 1.64, 3.7, -8.33, 1.75, 34.0], \"ry\": 3.13}]\n```" + } + ] + }, + { + "id": 1105, + "data_source": "Mono3DRefer", + "scene_name": "006140", + "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\": [494.35, 180.82, 551.09, 233.46], \"box_3d\": [1.97, 1.87, 4.53, -3.52, 2.31, 29.6], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [547.28, 186.22, 572.64, 210.6], \"box_3d\": [1.7, 1.53, 3.82, -3.71, 2.72, 53.74], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1106, + "data_source": "Mono3DRefer", + "scene_name": "006146", + "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\": [902.1, 189.62, 1241.0, 374.0], \"box_3d\": [1.6, 1.53, 4.18, 2.79, 1.7, 2.89], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [732.13, 184.04, 981.66, 352.15], \"box_3d\": [1.56, 1.57, 3.98, 2.66, 1.72, 8.88], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -2.85, \"box_2d\": [371.92, 178.46, 459.84, 217.42], \"box_3d\": [1.61, 1.57, 3.35, -8.39, 1.87, 31.22], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": 1.39, \"box_2d\": [681.86, 167.06, 722.46, 197.69], \"box_3d\": [1.79, 1.72, 4.35, 5.63, 1.48, 44.72], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [564.83, 179.05, 589.67, 203.14], \"box_3d\": [1.45, 1.49, 4.07, -2.08, 1.85, 45.88], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 1107, + "data_source": "Mono3DRefer", + "scene_name": "006147", + "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\": [728.78, 187.46, 949.01, 330.02], \"box_3d\": [1.41, 1.64, 3.77, 2.62, 1.63, 9.31], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [486.55, 182.8, 535.06, 215.27], \"box_3d\": [1.43, 1.76, 3.97, -4.71, 1.93, 34.54], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [257.83, 194.77, 422.98, 291.6], \"box_3d\": [1.49, 1.61, 3.94, -4.96, 1.95, 13.74], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [361.96, 189.0, 472.29, 255.25], \"box_3d\": [1.48, 1.66, 3.9, -4.91, 1.93, 18.75], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 2.33, \"box_2d\": [0.0, 228.54, 201.75, 374.0], \"box_3d\": [1.31, 1.58, 4.23, -5.39, 1.91, 5.83], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 1108, + "data_source": "Mono3DRefer", + "scene_name": "006155", + "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\": [680.22, 189.59, 800.0, 275.75], \"box_3d\": [1.41, 1.64, 3.77, 2.38, 1.78, 14.28], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [487.42, 189.01, 531.91, 217.99], \"box_3d\": [1.43, 1.76, 3.97, -5.44, 2.35, 39.31], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [345.08, 195.9, 454.41, 265.14], \"box_3d\": [1.49, 1.61, 3.94, -5.29, 2.13, 18.51], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.83, \"box_2d\": [404.36, 191.66, 486.31, 243.51], \"box_3d\": [1.48, 1.66, 3.9, -5.32, 2.14, 23.63], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 2.07, \"box_2d\": [62.0, 211.17, 340.29, 341.36], \"box_3d\": [1.31, 1.58, 4.23, -5.56, 1.96, 10.44], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1109, + "data_source": "Mono3DRefer", + "scene_name": "006159", + "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, 199.4, 124.08, 374.0], \"box_3d\": [1.47, 1.67, 4.28, -6.49, 1.72, 5.54], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -2.76, \"box_2d\": [0.0, 192.18, 327.83, 300.19], \"box_3d\": [1.38, 1.67, 4.37, -6.75, 1.71, 10.77], \"ry\": 2.98}, {\"category\": \"Car\", \"angle\": -2.18, \"box_2d\": [1030.14, 150.29, 1241.0, 265.62], \"box_3d\": [1.54, 1.44, 2.54, 7.83, 1.26, 10.99], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -2.35, \"box_2d\": [1152.04, 148.78, 1241.0, 253.82], \"box_3d\": [1.59, 1.8, 3.41, 10.39, 1.22, 10.91], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 0.5, \"box_2d\": [189.97, 183.03, 388.05, 244.51], \"box_3d\": [1.42, 1.41, 4.3, -7.86, 1.69, 17.73], \"ry\": 0.08}]\n```" + } + ] + }, + { + "id": 1110, + "data_source": "Mono3DRefer", + "scene_name": "006181", + "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\": 2.18, \"box_2d\": [0.0, 216.23, 341.61, 374.0], \"box_3d\": [1.42, 1.66, 4.11, -3.06, 1.77, 3.88], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [539.74, 167.27, 570.24, 197.89], \"box_3d\": [1.97, 1.87, 4.53, -3.72, 1.64, 49.18], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 1111, + "data_source": "Mono3DRefer", + "scene_name": "006187", + "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\": [0.0, 204.64, 177.98, 374.0], \"box_3d\": [1.49, 1.59, 4.44, -6.57, 1.82, 6.39], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": -2.51, \"box_2d\": [0.0, 192.33, 321.69, 328.55], \"box_3d\": [1.48, 1.63, 4.1, -5.99, 1.76, 8.93], \"ry\": -3.09}, {\"category\": \"Car\", \"angle\": 0.58, \"box_2d\": [25.16, 194.7, 349.68, 291.03], \"box_3d\": [1.39, 1.6, 4.35, -6.69, 1.77, 11.58], \"ry\": 0.07}, {\"category\": \"Car\", \"angle\": 0.49, \"box_2d\": [186.59, 184.43, 385.8, 268.22], \"box_3d\": [1.52, 1.48, 3.23, -6.29, 1.77, 14.1], \"ry\": 0.07}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [711.71, 181.47, 875.67, 288.35], \"box_3d\": [1.41, 1.56, 4.08, 2.71, 1.57, 11.74], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 0.36, \"box_2d\": [369.01, 178.5, 496.15, 227.66], \"box_3d\": [1.52, 1.64, 3.65, -5.75, 1.72, 23.42], \"ry\": 0.12}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [670.82, 174.23, 722.02, 215.83], \"box_3d\": [1.43, 1.58, 3.37, 3.11, 1.5, 26.75], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -2.96, \"box_2d\": [404.57, 179.55, 509.9, 215.0], \"box_3d\": [1.41, 1.53, 4.11, -6.4, 1.71, 30.31], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -2.98, \"box_2d\": [445.02, 176.45, 523.04, 207.29], \"box_3d\": [1.46, 1.57, 3.6, -6.25, 1.66, 35.86], \"ry\": 3.13}]\n```" + } + ] + }, + { + "id": 1112, + "data_source": "Mono3DRefer", + "scene_name": "006207", + "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\": [458.25, 185.73, 531.58, 236.93], \"box_3d\": [1.44, 1.72, 4.14, -3.62, 1.88, 23.11], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1113, + "data_source": "Mono3DRefer", + "scene_name": "006214", + "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\": [505.53, 175.38, 564.53, 205.52], \"box_3d\": [1.37, 1.78, 4.65, -3.63, 1.52, 35.51], \"ry\": 1.72}]\n```" + } + ] + }, + { + "id": 1114, + "data_source": "Mono3DRefer", + "scene_name": "006216", + "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\": [506.66, 169.14, 555.74, 215.8], \"box_3d\": [1.97, 1.87, 4.53, -3.56, 1.85, 33.06], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [549.66, 175.74, 573.34, 198.19], \"box_3d\": [1.7, 1.53, 3.82, -3.83, 1.95, 57.18], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1115, + "data_source": "Mono3DRefer", + "scene_name": "006223", + "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\": [326.49, 193.32, 489.67, 298.86], \"box_3d\": [1.44, 1.7, 3.65, -3.27, 1.83, 12.25], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1116, + "data_source": "Mono3DRefer", + "scene_name": "006239", + "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\": [341.31, 188.06, 504.26, 287.38], \"box_3d\": [1.48, 1.87, 4.42, -3.28, 1.8, 13.43], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1117, + "data_source": "Mono3DRefer", + "scene_name": "006262", + "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\": [460.69, 184.74, 543.21, 222.04], \"box_3d\": [1.59, 1.63, 3.64, -4.98, 2.15, 32.83], \"ry\": -2.49}, {\"category\": \"Car\", \"angle\": -2.42, \"box_2d\": [484.67, 185.81, 561.44, 213.02], \"box_3d\": [1.39, 1.61, 4.09, -4.79, 2.12, 39.29], \"ry\": -2.54}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [581.95, 184.03, 629.99, 225.17], \"box_3d\": [1.52, 1.67, 3.61, -0.14, 1.98, 29.0], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [596.57, 188.79, 676.63, 255.72], \"box_3d\": [1.36, 1.69, 3.38, 0.52, 1.77, 17.02], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [310.34, 186.7, 383.11, 226.61], \"box_3d\": [1.59, 1.72, 3.86, -11.46, 2.22, 31.58], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1118, + "data_source": "Mono3DRefer", + "scene_name": "006263", + "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\": [118.13, 200.07, 327.37, 310.69], \"box_3d\": [1.42, 1.54, 3.5, -6.09, 1.92, 11.73], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [699.66, 174.85, 820.16, 257.4], \"box_3d\": [1.51, 1.75, 3.78, 2.97, 1.58, 15.27], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [295.07, 192.88, 418.59, 260.65], \"box_3d\": [1.36, 1.51, 4.02, -5.98, 1.89, 17.39], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [404.39, 178.97, 478.32, 232.65], \"box_3d\": [1.74, 1.65, 4.11, -5.92, 1.97, 25.63], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [445.38, 182.16, 500.58, 221.15], \"box_3d\": [1.61, 1.64, 4.0, -6.09, 2.04, 32.28], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [637.12, 176.03, 657.9, 194.08], \"box_3d\": [1.55, 1.66, 4.15, 3.32, 1.85, 64.57], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 1119, + "data_source": "Mono3DRefer", + "scene_name": "006278", + "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\": [354.98, 183.69, 509.58, 296.77], \"box_3d\": [1.46, 1.63, 4.47, -2.72, 1.66, 11.84], \"ry\": 1.52}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [487.29, 170.52, 568.76, 229.55], \"box_3d\": [1.7, 1.82, 4.45, -2.55, 1.66, 23.15], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": -1.12, \"box_2d\": [641.73, 171.74, 689.99, 202.4], \"box_3d\": [1.57, 1.56, 2.62, 2.98, 1.53, 38.53], \"ry\": -1.04}]\n```" + } + ] + }, + { + "id": 1120, + "data_source": "Mono3DRefer", + "scene_name": "006283", + "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\": -1.14, \"box_2d\": [199.24, 148.55, 266.0, 178.11], \"box_3d\": [1.52, 1.71, 4.11, -20.85, 0.28, 39.98], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 2.09, \"box_2d\": [106.03, 153.83, 201.53, 194.17], \"box_3d\": [1.42, 1.55, 3.45, -17.28, 0.77, 27.45], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 1121, + "data_source": "Mono3DRefer", + "scene_name": "006296", + "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\": [0.0, 200.13, 207.34, 354.3], \"box_3d\": [1.48, 1.61, 3.61, -6.99, 1.88, 9.19], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [614.05, 173.28, 637.51, 195.59], \"box_3d\": [1.54, 1.63, 3.67, 1.11, 1.6, 52.34], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [473.83, 179.79, 519.93, 207.52], \"box_3d\": [1.56, 1.59, 3.69, -6.68, 1.98, 42.75], \"ry\": 1.74}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [498.12, 172.84, 538.64, 203.73], \"box_3d\": [1.93, 1.59, 4.01, -6.0, 1.96, 47.47], \"ry\": 1.72}, {\"category\": \"Car\", \"angle\": -1.58, \"box_2d\": [656.45, 171.75, 681.25, 195.19], \"box_3d\": [1.58, 1.67, 3.84, 4.12, 1.54, 51.15], \"ry\": -1.5}]\n```" + } + ] + }, + { + "id": 1122, + "data_source": "Mono3DRefer", + "scene_name": "006309", + "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\": [456.35, 182.93, 551.77, 244.49], \"box_3d\": [1.44, 1.68, 4.39, -2.75, 1.73, 19.39], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 1123, + "data_source": "Mono3DRefer", + "scene_name": "006310", + "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\": -1.4, \"box_2d\": [588.92, 167.06, 650.63, 213.57], \"box_3d\": [1.77, 1.75, 4.67, 0.46, 1.58, 29.92], \"ry\": -1.38}, {\"category\": \"Car\", \"angle\": -2.11, \"box_2d\": [240.56, 205.69, 328.61, 261.06], \"box_3d\": [1.72, 1.39, 3.07, -11.33, 2.9, 24.99], \"ry\": -2.53}, {\"category\": \"Car\", \"angle\": -2.01, \"box_2d\": [120.31, 208.59, 242.21, 277.81], \"box_3d\": [1.46, 1.52, 2.75, -10.5, 2.37, 17.57], \"ry\": -2.55}, {\"category\": \"Car\", \"angle\": -0.46, \"box_2d\": [962.8, 156.25, 1215.42, 234.7], \"box_3d\": [1.48, 1.63, 3.98, 9.57, 1.2, 14.73], \"ry\": 0.1}, {\"category\": \"Car\", \"angle\": -0.34, \"box_2d\": [855.69, 157.89, 1064.93, 220.9], \"box_3d\": [1.47, 1.52, 4.43, 8.57, 1.15, 18.01], \"ry\": 0.1}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [636.73, 163.86, 674.96, 193.98], \"box_3d\": [1.6, 1.68, 3.94, 2.6, 1.14, 40.57], \"ry\": 1.75}]\n```" + } + ] + }, + { + "id": 1124, + "data_source": "Mono3DRefer", + "scene_name": "006311", + "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 ��). 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\": [475.81, 179.19, 526.94, 220.45], \"box_3d\": [1.7, 1.72, 4.11, -4.8, 2.0, 32.12], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 1125, + "data_source": "Mono3DRefer", + "scene_name": "006317", + "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\": -2.75, \"box_2d\": [260.07, 175.08, 390.28, 230.79], \"box_3d\": [1.61, 1.57, 3.35, -8.69, 1.7, 22.08], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": 1.36, \"box_2d\": [688.6, 164.77, 742.24, 203.58], \"box_3d\": [1.79, 1.72, 4.35, 5.12, 1.44, 35.75], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [542.45, 175.67, 573.88, 205.91], \"box_3d\": [1.45, 1.49, 4.07, -2.64, 1.61, 36.96], \"ry\": 1.52}]\n```" + } + ] + }, + { + "id": 1126, + "data_source": "Mono3DRefer", + "scene_name": "006329", + "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\": 2.51, \"box_2d\": [922.68, 147.43, 1241.0, 297.73], \"box_3d\": [1.71, 1.67, 3.7, 6.19, 1.43, 9.23], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 2.2, \"box_2d\": [0.0, 189.66, 206.25, 374.0], \"box_3d\": [1.64, 1.63, 4.51, -4.43, 1.78, 4.51], \"ry\": 1.45}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [111.3, 184.93, 369.81, 334.65], \"box_3d\": [1.6, 1.66, 4.33, -4.84, 1.79, 10.12], \"ry\": 1.5}]\n```" + } + ] + }, + { + "id": 1127, + "data_source": "Mono3DRefer", + "scene_name": "006347", + "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\": 1.43, \"box_2d\": [804.94, 177.15, 1056.88, 372.98], \"box_3d\": [1.57, 1.73, 4.15, 3.13, 1.63, 7.99], \"ry\": 1.79}]\n```" + } + ] + }, + { + "id": 1128, + "data_source": "Mono3DRefer", + "scene_name": "006348", + "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\": [360.26, 176.94, 484.27, 260.22], \"box_3d\": [1.5, 1.62, 4.19, -3.84, 1.61, 15.27], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 1129, + "data_source": "Mono3DRefer", + "scene_name": "006350", + "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\": -1.54, \"box_2d\": [579.52, 174.68, 608.81, 201.05], \"box_3d\": [1.43, 1.55, 3.91, -0.9, 1.56, 41.47], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 1.12, \"box_2d\": [850.97, 183.5, 1241.0, 374.0], \"box_3d\": [1.52, 1.61, 4.23, 3.94, 1.65, 7.46], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.26, \"box_2d\": [803.42, 177.16, 906.11, 236.81], \"box_3d\": [1.45, 1.51, 3.7, 6.46, 1.58, 19.53], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 2.94, \"box_2d\": [663.68, 170.93, 764.58, 206.58], \"box_3d\": [1.51, 1.65, 4.21, 4.58, 1.45, 32.32], \"ry\": 3.08}]\n```" + } + ] + }, + { + "id": 1130, + "data_source": "Mono3DRefer", + "scene_name": "006374", + "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\": [608.74, 183.7, 684.94, 239.66], \"box_3d\": [1.38, 1.51, 4.1, 0.89, 1.7, 20.33], \"ry\": -1.68}, {\"category\": \"Car\", \"angle\": -1.93, \"box_2d\": [706.41, 165.0, 966.17, 337.93], \"box_3d\": [1.6, 1.66, 3.55, 2.34, 1.55, 8.57], \"ry\": -1.67}]\n```" + } + ] + }, + { + "id": 1131, + "data_source": "Mono3DRefer", + "scene_name": "006375", + "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\": [588.9, 171.86, 625.37, 207.02], \"box_3d\": [1.6, 1.66, 3.55, -0.17, 1.58, 34.93], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 1132, + "data_source": "Mono3DRefer", + "scene_name": "006388", + "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\": [618.05, 176.04, 675.62, 230.04], \"box_3d\": [1.82, 1.65, 3.67, 1.24, 1.96, 26.39], \"ry\": -1.64}, {\"category\": \"Car\", \"angle\": -2.21, \"box_2d\": [819.46, 167.94, 1241.0, 374.0], \"box_3d\": [1.72, 1.67, 4.42, 2.97, 1.72, 4.62], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [249.02, 198.77, 455.84, 351.9], \"box_3d\": [1.44, 1.56, 3.84, -3.08, 1.83, 9.28], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [474.74, 184.78, 522.6, 231.05], \"box_3d\": [1.5, 1.55, 4.21, -4.01, 1.95, 26.2], \"ry\": -1.69}]\n```" + } + ] + }, + { + "id": 1133, + "data_source": "Mono3DRefer", + "scene_name": "006392", + "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\": [573.8, 182.27, 604.71, 210.07], \"box_3d\": [1.41, 1.59, 4.47, -1.14, 1.95, 39.67], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 1134, + "data_source": "Mono3DRefer", + "scene_name": "006398", + "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\": [430.11, 194.95, 514.28, 265.09], \"box_3d\": [1.5, 1.53, 3.38, -3.39, 2.1, 18.04], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [515.37, 185.79, 574.18, 223.66], \"box_3d\": [1.56, 1.56, 3.6, -2.89, 2.16, 32.31], \"ry\": 1.8}, {\"category\": \"Car\", \"angle\": 1.98, \"box_2d\": [67.93, 190.52, 403.33, 374.0], \"box_3d\": [1.7, 1.53, 3.82, -3.49, 1.92, 7.49], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1135, + "data_source": "Mono3DRefer", + "scene_name": "006404", + "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\": 2.25, \"box_2d\": [0.0, 186.85, 366.97, 374.0], \"box_3d\": [1.63, 1.6, 3.73, -2.46, 1.71, 2.85], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.94, \"box_2d\": [754.68, 194.61, 1143.81, 374.0], \"box_3d\": [1.54, 1.6, 3.52, 2.37, 1.77, 6.13], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.31, \"box_2d\": [239.24, 193.42, 474.01, 374.0], \"box_3d\": [1.54, 1.5, 3.48, -2.58, 1.81, 8.02], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [388.04, 191.53, 517.23, 287.36], \"box_3d\": [1.44, 1.63, 3.32, -2.75, 1.82, 13.05], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.85, \"box_2d\": [696.89, 184.23, 839.72, 287.1], \"box_3d\": [1.55, 1.55, 3.27, 2.61, 1.77, 12.78], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [663.3, 184.86, 751.53, 253.74], \"box_3d\": [1.48, 1.6, 3.79, 2.26, 1.8, 17.85], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [511.31, 184.7, 563.41, 227.93], \"box_3d\": [1.56, 1.55, 3.64, -2.83, 2.04, 28.42], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": 1.66, \"box_2d\": [541.33, 174.98, 585.34, 218.53], \"box_3d\": [1.91, 1.66, 4.22, -2.16, 2.03, 33.94], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [562.72, 176.97, 601.63, 212.1], \"box_3d\": [1.83, 1.69, 4.28, -1.51, 2.07, 39.95], \"ry\": 1.64}]\n```" + } + ] + }, + { + "id": 1136, + "data_source": "Mono3DRefer", + "scene_name": "006406", + "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\": [359.06, 184.74, 488.35, 263.44], \"box_3d\": [1.42, 1.75, 3.45, -3.78, 1.69, 15.07], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1137, + "data_source": "Mono3DRefer", + "scene_name": "006455", + "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\": 1.84, \"box_2d\": [389.59, 179.69, 482.63, 232.2], \"box_3d\": [1.42, 1.78, 3.62, -4.86, 1.38, 21.52], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 1138, + "data_source": "Mono3DRefer", + "scene_name": "006456", + "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\": [437.62, 186.53, 527.89, 246.88], \"box_3d\": [1.45, 1.77, 4.04, -3.44, 1.86, 20.0], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1139, + "data_source": "Mono3DRefer", + "scene_name": "006484", + "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\": [584.58, 175.21, 611.02, 201.34], \"box_3d\": [1.65, 1.67, 3.64, -0.84, 1.83, 47.85], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 1140, + "data_source": "Mono3DRefer", + "scene_name": "006485", + "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\": [428.02, 185.27, 522.09, 254.24], \"box_3d\": [1.45, 1.56, 3.47, -3.17, 1.77, 17.29], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1141, + "data_source": "Mono3DRefer", + "scene_name": "006487", + "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\": -0.57, \"box_2d\": [312.94, 184.4, 533.14, 276.59], \"box_3d\": [1.41, 1.62, 3.6, -3.37, 1.65, 13.25], \"ry\": -0.82}, {\"category\": \"Car\", \"angle\": -0.53, \"box_2d\": [212.5, 169.5, 458.14, 269.75], \"box_3d\": [1.77, 1.96, 4.39, -5.61, 1.73, 15.08], \"ry\": -0.88}, {\"category\": \"Car\", \"angle\": 1.4, \"box_2d\": [0.0, 188.39, 72.59, 225.66], \"box_3d\": [1.37, 1.6, 4.5, -23.27, 2.01, 29.13], \"ry\": 0.73}]\n```" + } + ] + }, + { + "id": 1142, + "data_source": "Mono3DRefer", + "scene_name": "006488", + "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\": 1.74, \"box_2d\": [434.75, 170.39, 528.51, 239.21], \"box_3d\": [1.57, 1.67, 4.14, -3.0, 1.32, 18.62], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1143, + "data_source": "Mono3DRefer", + "scene_name": "006510", + "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\": 1.75, \"box_2d\": [538.42, 174.83, 571.38, 195.29], \"box_3d\": [1.42, 1.78, 3.62, -3.33, 0.96, 52.33], \"ry\": 1.68}]\n```" + } + ] + }, + { + "id": 1144, + "data_source": "Mono3DRefer", + "scene_name": "006514", + "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\": 3.08, \"box_2d\": [970.84, 178.44, 1168.09, 243.46], \"box_3d\": [1.54, 1.68, 4.16, 11.74, 1.71, 18.82], \"ry\": -2.65}, {\"category\": \"Car\", \"angle\": -0.79, \"box_2d\": [706.08, 197.77, 791.01, 229.83], \"box_3d\": [1.37, 1.56, 4.19, 6.76, 2.64, 35.21], \"ry\": -0.6}]\n```" + } + ] + }, + { + "id": 1145, + "data_source": "Mono3DRefer", + "scene_name": "006518", + "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\": [526.58, 167.23, 563.42, 203.42], \"box_3d\": [1.97, 1.87, 4.53, -3.75, 1.7, 41.96], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 1146, + "data_source": "Mono3DRefer", + "scene_name": "006520", + "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\": -0.29, \"box_2d\": [694.4, 182.49, 845.04, 246.77], \"box_3d\": [1.55, 1.57, 3.51, 4.07, 1.83, 18.85], \"ry\": -0.09}, {\"category\": \"Car\", \"angle\": -0.58, \"box_2d\": [819.81, 192.59, 1241.0, 350.39], \"box_3d\": [1.47, 1.74, 3.88, 4.53, 1.73, 8.08], \"ry\": -0.08}, {\"category\": \"Car\", \"angle\": 0.55, \"box_2d\": [0.0, 160.19, 200.46, 303.88], \"box_3d\": [1.68, 1.67, 3.79, -7.69, 1.55, 9.27], \"ry\": -0.12}, {\"category\": \"Car\", \"angle\": -2.63, \"box_2d\": [0.0, 183.1, 281.19, 280.67], \"box_3d\": [1.43, 1.6, 4.04, -7.8, 1.62, 11.77], \"ry\": 3.08}, {\"category\": \"Car\", \"angle\": 0.48, \"box_2d\": [87.46, 174.96, 338.92, 257.44], \"box_3d\": [1.53, 1.72, 4.15, -7.95, 1.6, 14.65], \"ry\": -0.01}, {\"category\": \"Car\", \"angle\": -2.83, \"box_2d\": [227.09, 177.81, 397.78, 238.06], \"box_3d\": [1.52, 1.57, 4.01, -8.05, 1.68, 19.67], \"ry\": 3.06}, {\"category\": \"Car\", \"angle\": -0.3, \"box_2d\": [671.72, 186.93, 802.0, 241.47], \"box_3d\": [1.48, 1.63, 3.43, 3.65, 1.92, 21.25], \"ry\": -0.13}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [458.87, 179.36, 494.0, 201.23], \"box_3d\": [1.66, 1.66, 3.98, -10.66, 2.19, 57.29], \"ry\": -2.04}]\n```" + } + ] + }, + { + "id": 1147, + "data_source": "Mono3DRefer", + "scene_name": "006521", + "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\": [678.43, 192.2, 787.25, 268.94], \"box_3d\": [1.41, 1.58, 4.36, 2.57, 1.89, 16.27], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 1148, + "data_source": "Mono3DRefer", + "scene_name": "006525", + "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\": [356.45, 201.06, 518.16, 306.9], \"box_3d\": [1.33, 1.71, 4.09, -2.71, 1.87, 12.06], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [660.16, 183.14, 719.55, 229.16], \"box_3d\": [1.49, 1.56, 4.34, 2.76, 1.88, 26.05], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.42, \"box_2d\": [474.9, 189.99, 549.16, 246.89], \"box_3d\": [1.42, 1.53, 4.12, -2.79, 1.96, 21.01], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [703.24, 178.39, 835.25, 277.99], \"box_3d\": [1.59, 1.59, 3.89, 2.79, 1.71, 13.62], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [639.41, 183.88, 668.61, 208.62], \"box_3d\": [1.38, 1.64, 3.51, 2.62, 2.05, 42.87], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 1149, + "data_source": "Mono3DRefer", + "scene_name": "006532", + "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\": -2.66, \"box_2d\": [70.57, 180.83, 373.65, 275.35], \"box_3d\": [1.46, 1.61, 4.31, -6.5, 1.62, 12.31], \"ry\": -3.14}, {\"category\": \"Car\", \"angle\": -2.93, \"box_2d\": [252.11, 163.61, 458.92, 245.2], \"box_3d\": [1.8, 1.77, 4.41, -6.01, 1.62, 17.36], \"ry\": 3.03}, {\"category\": \"Car\", \"angle\": -2.91, \"box_2d\": [413.37, 174.07, 494.56, 210.63], \"box_3d\": [1.58, 1.54, 3.3, -7.03, 1.66, 32.56], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.19, \"box_2d\": [432.1, 173.33, 522.21, 209.5], \"box_3d\": [1.68, 1.71, 4.07, -6.47, 1.73, 35.24], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 2.35, \"box_2d\": [1044.67, 160.49, 1241.0, 374.0], \"box_3d\": [1.76, 1.71, 4.4, 6.48, 1.66, 6.31], \"ry\": 3.12}]\n```" + } + ] + }, + { + "id": 1150, + "data_source": "Mono3DRefer", + "scene_name": "006534", + "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\": 2.47, \"box_2d\": [0.0, 209.84, 131.38, 374.0], \"box_3d\": [1.46, 1.67, 4.92, -4.9, 1.76, 3.58], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [424.03, 183.68, 523.08, 237.12], \"box_3d\": [1.42, 1.73, 4.41, -4.04, 1.77, 21.88], \"ry\": 1.68}, {\"category\": \"Car\", \"angle\": -1.6, \"box_2d\": [701.39, 176.87, 764.05, 227.51], \"box_3d\": [1.51, 1.84, 4.1, 3.91, 1.66, 23.7], \"ry\": -1.44}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [649.18, 170.29, 683.52, 191.53], \"box_3d\": [1.76, 1.77, 4.41, 4.89, 1.57, 62.25], \"ry\": 1.93}]\n```" + } + ] + }, + { + "id": 1151, + "data_source": "Mono3DRefer", + "scene_name": "006535", + "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\": -2.58, \"box_2d\": [35.69, 181.16, 302.0, 289.66], \"box_3d\": [1.58, 1.54, 3.3, -6.93, 1.73, 11.47], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.43, \"box_2d\": [150.1, 174.44, 398.25, 267.92], \"box_3d\": [1.68, 1.71, 4.07, -6.49, 1.74, 14.15], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -2.82, \"box_2d\": [212.48, 179.99, 431.66, 253.19], \"box_3d\": [1.53, 1.7, 4.32, -6.46, 1.71, 16.45], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": 0.28, \"box_2d\": [331.46, 183.07, 485.14, 237.19], \"box_3d\": [1.54, 1.78, 4.2, -6.13, 1.88, 22.12], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 0.13, \"box_2d\": [416.34, 182.83, 523.89, 219.62], \"box_3d\": [1.5, 1.66, 4.4, -6.05, 1.96, 31.38], \"ry\": -0.05}, {\"category\": \"Car\", \"angle\": -1.66, \"box_2d\": [650.35, 182.97, 699.29, 220.22], \"box_3d\": [1.41, 1.62, 4.19, 2.6, 1.85, 30.05], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 1152, + "data_source": "Mono3DRefer", + "scene_name": "006550", + "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\": 1.98, \"box_2d\": [61.39, 197.26, 440.31, 374.0], \"box_3d\": [1.6, 1.68, 3.94, -3.03, 1.89, 7.01], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [530.55, 189.37, 570.75, 221.08], \"box_3d\": [1.42, 1.66, 4.11, -2.93, 2.28, 35.95], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1153, + "data_source": "Mono3DRefer", + "scene_name": "006553", + "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\": -1.43, \"box_2d\": [1023.28, 176.49, 1120.47, 251.89], \"box_3d\": [1.66, 1.56, 3.42, 11.38, 1.76, 17.75], \"ry\": -0.87}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [943.33, 177.6, 999.2, 208.07], \"box_3d\": [1.45, 1.64, 4.21, 18.47, 1.71, 36.86], \"ry\": 2.26}]\n```" + } + ] + }, + { + "id": 1154, + "data_source": "Mono3DRefer", + "scene_name": "006556", + "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\": -2.71, \"box_2d\": [252.39, 173.92, 391.24, 236.11], \"box_3d\": [1.59, 1.45, 3.15, -7.76, 1.64, 19.46], \"ry\": -3.08}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [634.49, 174.28, 761.58, 288.51], \"box_3d\": [1.46, 1.53, 3.17, 1.15, 1.5, 10.9], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 1155, + "data_source": "Mono3DRefer", + "scene_name": "006566", + "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\": [581.33, 183.06, 614.25, 212.78], \"box_3d\": [1.41, 1.59, 4.47, -0.64, 1.96, 37.37], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1156, + "data_source": "Mono3DRefer", + "scene_name": "006568", + "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\": 2.57, \"box_2d\": [885.51, 163.43, 1241.0, 301.93], \"box_3d\": [1.76, 1.71, 4.4, 6.42, 1.66, 10.27], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": 0.78, \"box_2d\": [0.0, 98.45, 157.81, 374.0], \"box_3d\": [2.22, 1.68, 4.08, -6.77, 1.65, 6.62], \"ry\": 0.0}, {\"category\": \"Car\", \"angle\": -2.51, \"box_2d\": [0.0, 182.7, 228.06, 307.8], \"box_3d\": [1.4, 1.46, 3.23, -6.79, 1.54, 8.93], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -2.76, \"box_2d\": [203.13, 179.32, 424.77, 250.04], \"box_3d\": [1.46, 1.61, 4.31, -6.56, 1.63, 16.18], \"ry\": 3.14}, {\"category\": \"Car\", \"angle\": -2.98, \"box_2d\": [317.45, 165.87, 481.83, 231.81], \"box_3d\": [1.8, 1.77, 4.41, -6.1, 1.63, 21.24], \"ry\": 3.02}, {\"category\": \"Car\", \"angle\": -2.93, \"box_2d\": [431.61, 173.12, 503.65, 205.74], \"box_3d\": [1.58, 1.54, 3.3, -7.18, 1.62, 36.41], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": 0.17, \"box_2d\": [449.24, 172.31, 529.82, 204.8], \"box_3d\": [1.68, 1.71, 4.07, -6.52, 1.68, 39.14], \"ry\": 0.0}]\n```" + } + ] + }, + { + "id": 1157, + "data_source": "Mono3DRefer", + "scene_name": "006594", + "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\": [397.99, 178.04, 529.12, 280.85], \"box_3d\": [1.63, 1.6, 3.73, -2.6, 1.74, 13.39], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.9, \"box_2d\": [819.99, 207.78, 1241.0, 374.0], \"box_3d\": [1.45, 1.5, 3.26, 2.58, 1.77, 5.28], \"ry\": -1.47}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [712.13, 181.82, 862.56, 300.35], \"box_3d\": [1.59, 1.49, 3.34, 2.61, 1.75, 11.5], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [666.1, 179.34, 760.58, 253.55], \"box_3d\": [1.54, 1.6, 3.52, 2.26, 1.7, 16.88], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.43, \"box_2d\": [466.5, 189.49, 543.73, 257.26], \"box_3d\": [1.54, 1.5, 3.48, -2.68, 2.0, 18.77], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [491.64, 183.52, 554.08, 231.45], \"box_3d\": [1.44, 1.63, 3.32, -2.85, 1.81, 23.87], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [653.29, 177.19, 719.74, 228.67], \"box_3d\": [1.55, 1.55, 3.27, 2.4, 1.71, 23.62], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [638.31, 176.77, 689.58, 217.44], \"box_3d\": [1.48, 1.6, 3.79, 2.03, 1.66, 28.51], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [534.4, 176.8, 570.54, 207.32], \"box_3d\": [1.56, 1.55, 3.64, -3.09, 1.79, 38.99], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [551.76, 170.2, 584.02, 202.83], \"box_3d\": [1.91, 1.66, 4.22, -2.58, 1.78, 44.61], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [565.17, 172.28, 595.41, 199.74], \"box_3d\": [1.83, 1.69, 4.28, -2.06, 1.82, 50.55], \"ry\": 1.63}]\n```" + } + ] + }, + { + "id": 1158, + "data_source": "Mono3DRefer", + "scene_name": "006597", + "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\": 2.02, \"box_2d\": [82.97, 186.3, 354.26, 339.32], \"box_3d\": [1.62, 1.66, 3.81, -5.0, 1.83, 9.79], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [420.67, 182.31, 495.67, 228.04], \"box_3d\": [1.46, 1.67, 4.92, -5.39, 1.82, 26.02], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [506.81, 181.69, 548.71, 206.11], \"box_3d\": [1.42, 1.73, 4.41, -5.1, 1.99, 45.04], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [640.77, 176.66, 670.77, 201.3], \"box_3d\": [1.51, 1.84, 4.1, 2.95, 1.78, 46.76], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -1.95, \"box_2d\": [771.49, 173.3, 1172.31, 374.0], \"box_3d\": [1.61, 1.67, 3.62, 2.63, 1.64, 6.33], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 1159, + "data_source": "Mono3DRefer", + "scene_name": "006606", + "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\": 1.75, \"box_2d\": [531.05, 174.77, 566.34, 196.72], \"box_3d\": [1.42, 1.78, 3.62, -3.53, 0.98, 48.9], \"ry\": 1.67}]\n```" + } + ] + }, + { + "id": 1160, + "data_source": "Mono3DRefer", + "scene_name": "006610", + "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\": 2.25, \"box_2d\": [0.0, 171.72, 149.3, 236.4], \"box_3d\": [1.78, 1.6, 4.29, -16.4, 1.78, 22.09], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 2.18, \"box_2d\": [137.37, 182.86, 237.72, 225.93], \"box_3d\": [1.5, 1.47, 3.62, -15.98, 1.9, 27.43], \"ry\": 1.66}]\n```" + } + ] + }, + { + "id": 1161, + "data_source": "Mono3DRefer", + "scene_name": "006638", + "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\": -2.71, \"box_2d\": [134.83, 186.13, 383.17, 274.31], \"box_3d\": [1.5, 1.58, 3.88, -6.49, 1.78, 13.51], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -0.42, \"box_2d\": [794.22, 181.25, 1034.69, 267.86], \"box_3d\": [1.5, 1.62, 3.88, 5.63, 1.68, 13.73], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": -2.63, \"box_2d\": [3.81, 190.44, 327.15, 297.4], \"box_3d\": [1.44, 1.55, 3.94, -6.63, 1.74, 10.97], \"ry\": 3.12}, {\"category\": \"Car\", \"angle\": -2.57, \"box_2d\": [0.0, 167.93, 265.56, 335.73], \"box_3d\": [1.77, 1.68, 4.12, -6.59, 1.74, 8.52], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": 0.8, \"box_2d\": [0.0, 197.02, 170.56, 374.0], \"box_3d\": [1.51, 1.59, 4.28, -6.27, 1.75, 5.9], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 0.14, \"box_2d\": [430.43, 178.64, 524.26, 213.49], \"box_3d\": [1.58, 1.66, 4.21, -6.31, 1.88, 34.49], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": -1.67, \"box_2d\": [641.02, 183.04, 693.73, 220.14], \"box_3d\": [1.32, 1.63, 4.1, 2.14, 1.73, 28.33], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 0.28, \"box_2d\": [316.37, 178.87, 472.74, 234.63], \"box_3d\": [1.58, 1.56, 4.25, -6.46, 1.78, 21.77], \"ry\": -0.0}]\n```" + } + ] + }, + { + "id": 1162, + "data_source": "Mono3DRefer", + "scene_name": "006641", + "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\": [199.9, 197.12, 234.55, 226.28], \"box_3d\": [1.45, 1.62, 3.83, -21.9, 2.85, 40.27], \"ry\": 1.09}]\n```" + } + ] + }, + { + "id": 1163, + "data_source": "Mono3DRefer", + "scene_name": "006646", + "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\": [317.49, 185.75, 505.47, 316.44], \"box_3d\": [1.56, 1.56, 3.6, -2.74, 1.77, 10.62], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": 1.5, \"box_2d\": [478.34, 174.48, 501.07, 194.88], \"box_3d\": [1.68, 1.63, 3.9, -10.39, 1.85, 62.07], \"ry\": 1.33}, {\"category\": \"Car\", \"angle\": 2.24, \"box_2d\": [0.0, 202.75, 288.99, 374.0], \"box_3d\": [1.52, 1.54, 3.56, -3.55, 1.76, 4.3], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -2.45, \"box_2d\": [0.0, 202.54, 243.1, 311.98], \"box_3d\": [1.54, 1.64, 4.01, -8.28, 2.05, 11.47], \"ry\": -3.06}]\n```" + } + ] + }, + { + "id": 1164, + "data_source": "Mono3DRefer", + "scene_name": "006654", + "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\": -0.73, \"box_2d\": [990.34, 183.2, 1241.0, 293.19], \"box_3d\": [1.35, 1.49, 4.0, 7.65, 1.52, 10.12], \"ry\": -0.1}, {\"category\": \"Car\", \"angle\": -0.67, \"box_2d\": [947.54, 181.96, 1241.0, 269.58], \"box_3d\": [1.32, 1.62, 4.57, 8.35, 1.5, 12.28], \"ry\": -0.08}]\n```" + } + ] + }, + { + "id": 1165, + "data_source": "Mono3DRefer", + "scene_name": "006660", + "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\": -2.06, \"box_2d\": [837.77, 205.39, 1241.0, 374.0], \"box_3d\": [1.39, 1.51, 3.4, 2.96, 1.7, 5.35], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 0.82, \"box_2d\": [0.0, 165.59, 99.53, 374.0], \"box_3d\": [1.7, 1.57, 3.19, -5.88, 1.66, 5.19], \"ry\": -0.0}, {\"category\": \"Car\", \"angle\": -2.68, \"box_2d\": [0.0, 179.62, 302.25, 310.82], \"box_3d\": [1.63, 1.55, 3.35, -6.32, 1.74, 10.02], \"ry\": 3.05}, {\"category\": \"Car\", \"angle\": 2.75, \"box_2d\": [843.83, 191.45, 1118.16, 275.35], \"box_3d\": [1.34, 1.52, 3.99, 6.31, 1.69, 12.67], \"ry\": -3.08}, {\"category\": \"Car\", \"angle\": -0.28, \"box_2d\": [820.86, 178.17, 1015.77, 260.55], \"box_3d\": [1.63, 1.53, 3.45, 6.32, 1.76, 15.18], \"ry\": 0.11}, {\"category\": \"Car\", \"angle\": 2.85, \"box_2d\": [733.58, 170.35, 887.24, 229.13], \"box_3d\": [1.76, 1.71, 4.4, 6.28, 1.71, 23.05], \"ry\": 3.11}, {\"category\": \"Car\", \"angle\": 0.33, \"box_2d\": [262.23, 151.25, 438.49, 240.14], \"box_3d\": [2.22, 1.68, 4.08, -6.85, 1.7, 19.21], \"ry\": -0.01}, {\"category\": \"Car\", \"angle\": -2.92, \"box_2d\": [379.21, 178.17, 496.88, 217.06], \"box_3d\": [1.46, 1.61, 4.31, -6.83, 1.7, 28.78], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -3.08, \"box_2d\": [423.78, 171.1, 521.95, 211.7], \"box_3d\": [1.8, 1.77, 4.41, -6.39, 1.75, 33.86], \"ry\": 3.02}]\n```" + } + ] + }, + { + "id": 1166, + "data_source": "Mono3DRefer", + "scene_name": "006663", + "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\": [41.29, 188.01, 388.46, 374.0], \"box_3d\": [1.49, 1.52, 3.35, -3.57, 1.67, 7.14], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.99, \"box_2d\": [814.85, 182.12, 1177.1, 374.0], \"box_3d\": [1.53, 1.65, 4.37, 3.68, 1.65, 7.99], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [355.54, 167.64, 492.44, 268.23], \"box_3d\": [1.74, 1.65, 4.18, -3.64, 1.68, 14.7], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [492.58, 174.07, 578.68, 234.16], \"box_3d\": [1.64, 1.45, 3.48, -2.16, 1.69, 21.49], \"ry\": 1.81}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [751.84, 175.21, 865.29, 262.3], \"box_3d\": [1.61, 1.68, 4.04, 4.03, 1.68, 15.4], \"ry\": -1.46}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [745.83, 179.42, 810.05, 239.1], \"box_3d\": [1.52, 1.58, 4.28, 4.68, 1.72, 20.7], \"ry\": -1.39}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [640.45, 174.9, 709.22, 212.25], \"box_3d\": [1.54, 1.64, 4.08, 2.91, 1.65, 31.98], \"ry\": 2.04}]\n```" + } + ] + }, + { + "id": 1167, + "data_source": "Mono3DRefer", + "scene_name": "006683", + "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\": [352.54, 194.29, 389.92, 226.26], \"box_3d\": [1.65, 1.75, 3.39, -13.57, 2.9, 40.81], \"ry\": 1.18}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [165.86, 196.52, 440.09, 374.0], \"box_3d\": [1.47, 1.7, 4.39, -3.27, 1.81, 8.57], \"ry\": 1.49}]\n```" + } + ] + }, + { + "id": 1168, + "data_source": "Mono3DRefer", + "scene_name": "006697", + "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\": 1.75, \"box_2d\": [522.52, 174.7, 560.57, 198.37], \"box_3d\": [1.42, 1.78, 3.62, -3.73, 1.01, 45.47], \"ry\": 1.66}]\n```" + } + ] + }, + { + "id": 1169, + "data_source": "Mono3DRefer", + "scene_name": "006705", + "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\": [444.65, 188.12, 533.76, 253.55], \"box_3d\": [1.42, 1.66, 4.11, -3.0, 1.84, 18.41], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.6, \"box_2d\": [564.21, 164.83, 586.84, 188.09], \"box_3d\": [1.97, 1.87, 4.53, -3.03, 1.32, 64.01], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 1170, + "data_source": "Mono3DRefer", + "scene_name": "006727", + "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\": [289.16, 196.22, 489.41, 337.0], \"box_3d\": [1.6, 1.68, 3.94, -3.04, 1.99, 10.66], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [540.79, 192.78, 576.66, 221.77], \"box_3d\": [1.42, 1.66, 4.11, -2.79, 2.56, 39.61], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1171, + "data_source": "Mono3DRefer", + "scene_name": "006734", + "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\": 1.91, \"box_2d\": [261.11, 191.23, 421.83, 275.91], \"box_3d\": [1.46, 1.67, 4.92, -5.62, 1.91, 15.7], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [469.19, 183.06, 527.83, 215.85], \"box_3d\": [1.42, 1.73, 4.41, -5.24, 1.93, 34.28], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [643.48, 175.49, 682.53, 207.52], \"box_3d\": [1.51, 1.84, 4.1, 2.65, 1.66, 36.42], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 1172, + "data_source": "Mono3DRefer", + "scene_name": "006739", + "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\": [426.81, 179.43, 488.89, 240.08], \"box_3d\": [1.68, 1.63, 3.9, -4.65, 1.9, 22.26], \"ry\": 1.42}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [442.76, 185.0, 485.56, 216.5], \"box_3d\": [1.47, 1.7, 4.39, -7.5, 2.1, 36.7], \"ry\": 1.27}]\n```" + } + ] + }, + { + "id": 1173, + "data_source": "Mono3DRefer", + "scene_name": "006740", + "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\": [590.55, 179.6, 668.13, 241.25], \"box_3d\": [1.61, 1.66, 3.2, 0.44, 1.82, 20.74], \"ry\": -1.72}, {\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [295.26, 184.0, 355.78, 219.31], \"box_3d\": [1.5, 1.5, 3.1, -12.94, 2.03, 32.9], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [375.93, 184.02, 435.95, 220.97], \"box_3d\": [1.5, 1.67, 4.07, -9.03, 2.02, 32.12], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 1174, + "data_source": "Mono3DRefer", + "scene_name": "006748", + "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\": [349.01, 190.65, 385.28, 220.29], \"box_3d\": [1.65, 1.75, 3.39, -14.66, 2.75, 43.38], \"ry\": 1.15}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [293.72, 192.32, 460.88, 310.28], \"box_3d\": [1.47, 1.7, 4.39, -3.58, 1.83, 11.77], \"ry\": 1.47}]\n```" + } + ] + }, + { + "id": 1175, + "data_source": "Mono3DRefer", + "scene_name": "006750", + "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\": 2.88, \"box_2d\": [511.6, 157.39, 746.62, 251.5], \"box_3d\": [1.46, 1.53, 3.8, 0.34, 1.09, 12.3], \"ry\": 2.91}, {\"category\": \"Car\", \"angle\": -3.02, \"box_2d\": [196.77, 146.21, 472.07, 251.61], \"box_3d\": [1.53, 1.4, 3.94, -4.24, 1.01, 11.47], \"ry\": 2.92}, {\"category\": \"Car\", \"angle\": -2.6, \"box_2d\": [0.0, 149.16, 86.36, 257.35], \"box_3d\": [1.48, 1.55, 3.29, -9.74, 1.07, 10.14], \"ry\": 2.93}]\n```" + } + ] + }, + { + "id": 1176, + "data_source": "Mono3DRefer", + "scene_name": "006757", + "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\": [567.01, 175.54, 620.22, 227.03], \"box_3d\": [1.61, 1.66, 3.2, -0.57, 1.72, 24.4], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [476.19, 179.29, 514.94, 210.39], \"box_3d\": [1.66, 1.61, 3.46, -6.42, 2.03, 40.59], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -2.08, \"box_2d\": [957.33, 165.23, 1036.32, 195.23], \"box_3d\": [1.36, 1.5, 4.21, 18.73, 1.04, 35.19], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 1177, + "data_source": "Mono3DRefer", + "scene_name": "006763", + "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\": [344.1, 173.81, 468.62, 276.68], \"box_3d\": [1.68, 1.63, 3.9, -3.8, 1.73, 13.93], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 1.53, \"box_2d\": [432.69, 178.77, 482.46, 219.98], \"box_3d\": [1.47, 1.7, 4.39, -6.08, 1.72, 28.29], \"ry\": 1.32}]\n```" + } + ] + }, + { + "id": 1178, + "data_source": "Mono3DRefer", + "scene_name": "006776", + "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\": [452.18, 185.94, 530.27, 242.72], \"box_3d\": [1.45, 1.53, 3.98, -3.4, 1.86, 21.05], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1179, + "data_source": "Mono3DRefer", + "scene_name": "006785", + "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\": [593.89, 169.67, 621.08, 196.54], \"box_3d\": [1.65, 1.67, 3.64, -0.22, 1.48, 46.58], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.25, \"box_2d\": [182.05, 181.0, 475.2, 374.0], \"box_3d\": [1.61, 1.51, 4.5, -2.76, 1.72, 8.1], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 1180, + "data_source": "Mono3DRefer", + "scene_name": "006790", + "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\": [487.3, 183.87, 547.84, 225.76], \"box_3d\": [1.45, 1.77, 4.04, -3.5, 1.89, 27.67], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1181, + "data_source": "Mono3DRefer", + "scene_name": "006802", + "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\": [495.73, 178.18, 561.95, 211.75], \"box_3d\": [1.37, 1.78, 4.65, -3.54, 1.62, 32.08], \"ry\": 1.72}]\n```" + } + ] + }, + { + "id": 1182, + "data_source": "Mono3DRefer", + "scene_name": "006808", + "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\": [782.98, 185.09, 1021.2, 336.24], \"box_3d\": [1.72, 1.67, 4.42, 3.91, 1.93, 10.66], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [481.68, 201.55, 576.92, 283.19], \"box_3d\": [1.44, 1.56, 3.84, -1.68, 2.13, 15.74], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [571.43, 194.65, 608.21, 232.41], \"box_3d\": [1.5, 1.55, 4.21, -0.92, 2.54, 32.72], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [685.38, 186.07, 732.47, 229.98], \"box_3d\": [1.82, 1.65, 3.67, 4.36, 2.44, 32.46], \"ry\": -1.56}]\n```" + } + ] + }, + { + "id": 1183, + "data_source": "Mono3DRefer", + "scene_name": "006817", + "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\": 2.18, \"box_2d\": [0.0, 202.44, 344.89, 374.0], \"box_3d\": [1.57, 1.44, 3.6, -3.67, 1.87, 5.8], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [337.91, 197.53, 511.88, 312.73], \"box_3d\": [1.47, 1.51, 3.5, -2.82, 1.91, 11.56], \"ry\": 1.7}, {\"category\": \"Car\", \"angle\": -1.38, \"box_2d\": [699.31, 170.5, 748.17, 205.06], \"box_3d\": [1.77, 1.75, 4.67, 6.25, 1.67, 39.4], \"ry\": -1.22}, {\"category\": \"Car\", \"angle\": -2.22, \"box_2d\": [460.72, 193.79, 520.69, 230.46], \"box_3d\": [1.72, 1.39, 3.07, -6.06, 2.8, 36.34], \"ry\": -2.38}, {\"category\": \"Car\", \"angle\": -0.25, \"box_2d\": [943.42, 165.47, 1098.34, 214.84], \"box_3d\": [1.48, 1.63, 3.98, 12.89, 1.29, 22.94], \"ry\": 0.26}, {\"category\": \"Car\", \"angle\": -0.11, \"box_2d\": [884.07, 163.93, 1024.15, 206.56], \"box_3d\": [1.47, 1.52, 4.43, 12.34, 1.19, 26.23], \"ry\": 0.33}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [741.38, 168.65, 774.68, 193.07], \"box_3d\": [1.6, 1.68, 3.94, 10.16, 1.34, 49.46], \"ry\": 1.91}]\n```" + } + ] + }, + { + "id": 1184, + "data_source": "Mono3DRefer", + "scene_name": "006819", + "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\": [846.31, 117.55, 885.41, 145.91], \"box_3d\": [1.5, 1.62, 4.19, 16.19, -1.81, 45.61], \"ry\": 2.08}]\n```" + } + ] + }, + { + "id": 1185, + "data_source": "Mono3DRefer", + "scene_name": "006823", + "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\": [293.64, 173.56, 332.68, 192.96], \"box_3d\": [1.5, 1.62, 4.05, -24.01, 1.59, 58.44], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [568.98, 177.72, 618.58, 225.57], \"box_3d\": [1.6, 1.66, 3.55, -0.63, 1.79, 26.15], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [255.69, 173.99, 303.92, 194.82], \"box_3d\": [1.43, 1.73, 3.87, -23.77, 1.54, 52.03], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1186, + "data_source": "Mono3DRefer", + "scene_name": "006833", + "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\": 0.8, \"box_2d\": [0.0, 181.56, 164.89, 374.0], \"box_3d\": [1.53, 1.6, 3.62, -5.67, 1.62, 5.37], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": 0.69, \"box_2d\": [0.0, 175.15, 241.65, 349.09], \"box_3d\": [1.66, 1.57, 3.11, -5.97, 1.71, 7.76], \"ry\": 0.05}, {\"category\": \"Car\", \"angle\": 0.58, \"box_2d\": [0.0, 171.29, 348.48, 302.83], \"box_3d\": [1.66, 1.71, 4.34, -6.19, 1.67, 10.1], \"ry\": 0.04}, {\"category\": \"Car\", \"angle\": -2.64, \"box_2d\": [100.13, 173.28, 336.53, 271.35], \"box_3d\": [1.58, 1.62, 3.26, -6.79, 1.61, 12.65], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -2.81, \"box_2d\": [197.33, 184.55, 410.45, 264.45], \"box_3d\": [1.51, 1.66, 3.73, -6.27, 1.78, 15.0], \"ry\": 3.08}, {\"category\": \"Car\", \"angle\": -2.75, \"box_2d\": [226.34, 174.59, 431.55, 243.76], \"box_3d\": [1.56, 1.57, 4.37, -6.76, 1.63, 17.51], \"ry\": -3.11}, {\"category\": \"Car\", \"angle\": -2.92, \"box_2d\": [318.96, 169.63, 461.62, 227.41], \"box_3d\": [1.65, 1.68, 3.88, -6.65, 1.58, 22.02], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": 0.25, \"box_2d\": [338.01, 159.64, 480.82, 224.41], \"box_3d\": [2.08, 1.8, 4.37, -6.78, 1.68, 24.58], \"ry\": -0.02}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [768.71, 193.46, 1032.81, 365.48], \"box_3d\": [1.38, 1.49, 3.38, 2.79, 1.64, 7.81], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -0.39, \"box_2d\": [840.01, 173.06, 1110.5, 275.4], \"box_3d\": [1.67, 1.6, 3.94, 6.26, 1.71, 12.79], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": -0.32, \"box_2d\": [809.57, 179.05, 1003.89, 258.28], \"box_3d\": [1.54, 1.75, 3.36, 6.05, 1.69, 15.13], \"ry\": 0.05}, {\"category\": \"Car\", \"angle\": -0.29, \"box_2d\": [776.83, 180.03, 930.85, 243.05], \"box_3d\": [1.48, 1.52, 3.33, 5.97, 1.67, 18.03], \"ry\": 0.02}, {\"category\": \"Car\", \"angle\": 2.84, \"box_2d\": [730.98, 177.26, 869.89, 229.59], \"box_3d\": [1.57, 1.68, 3.97, 6.01, 1.74, 23.16], \"ry\": 3.09}, {\"category\": \"Car\", \"angle\": -0.27, \"box_2d\": [710.28, 179.02, 839.92, 221.58], \"box_3d\": [1.44, 1.65, 4.26, 5.86, 1.68, 26.06], \"ry\": -0.05}, {\"category\": \"Car\", \"angle\": -0.23, \"box_2d\": [712.67, 170.34, 820.3, 217.8], \"box_3d\": [1.77, 1.69, 3.82, 6.05, 1.7, 28.33], \"ry\": -0.02}, {\"category\": \"Car\", \"angle\": -2.97, \"box_2d\": [425.89, 173.06, 521.43, 204.81], \"box_3d\": [1.49, 1.59, 4.44, -6.74, 1.53, 35.78], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -2.96, \"box_2d\": [450.54, 176.0, 532.91, 205.22], \"box_3d\": [1.48, 1.63, 4.1, -6.3, 1.68, 38.51], \"ry\": -3.12}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [635.38, 177.61, 670.18, 203.7], \"box_3d\": [1.41, 1.56, 4.08, 2.39, 1.71, 41.61], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 1187, + "data_source": "Mono3DRefer", + "scene_name": "006838", + "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\": [538.78, 181.77, 556.77, 198.72], \"box_3d\": [1.47, 1.43, 3.11, -5.6, 2.28, 64.96], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 2.61, \"box_2d\": [941.31, 192.36, 1022.31, 221.67], \"box_3d\": [1.68, 1.39, 4.26, 22.64, 2.91, 44.03], \"ry\": 3.08}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [561.19, 179.47, 615.52, 233.62], \"box_3d\": [1.62, 1.63, 4.5, -0.73, 1.86, 24.1], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 1188, + "data_source": "Mono3DRefer", + "scene_name": "006860", + "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\": [298.44, 175.17, 463.0, 281.18], \"box_3d\": [1.5, 1.62, 4.19, -3.76, 1.57, 12.45], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 1189, + "data_source": "Mono3DRefer", + "scene_name": "006871", + "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\": [279.24, 191.71, 412.85, 269.64], \"box_3d\": [1.33, 1.56, 3.49, -5.29, 1.76, 14.78], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 2.18, \"box_2d\": [0.0, 198.1, 125.86, 313.84], \"box_3d\": [1.47, 1.72, 4.33, -9.08, 1.89, 10.26], \"ry\": 1.47}, {\"category\": \"Car\", \"angle\": 1.99, \"box_2d\": [94.6, 195.42, 262.86, 269.32], \"box_3d\": [1.31, 1.6, 4.09, -9.32, 1.86, 15.91], \"ry\": 1.47}, {\"category\": \"Car\", \"angle\": 2.18, \"box_2d\": [231.7, 188.47, 349.9, 239.57], \"box_3d\": [1.43, 1.58, 3.66, -10.01, 1.96, 22.83], \"ry\": 1.77}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [658.28, 176.17, 690.11, 203.08], \"box_3d\": [1.37, 1.56, 3.54, 3.47, 1.57, 38.91], \"ry\": -1.44}]\n```" + } + ] + }, + { + "id": 1190, + "data_source": "Mono3DRefer", + "scene_name": "006880", + "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\": [538.97, 179.65, 563.71, 200.52], \"box_3d\": [1.45, 1.53, 3.98, -4.28, 1.96, 52.83], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [482.47, 178.44, 536.08, 222.42], \"box_3d\": [1.65, 1.56, 3.98, -4.05, 1.89, 29.25], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1191, + "data_source": "Mono3DRefer", + "scene_name": "006885", + "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\": [311.28, 187.96, 343.31, 215.63], \"box_3d\": [1.46, 1.6, 3.71, -16.19, 2.34, 41.16], \"ry\": -1.97}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [382.31, 185.74, 471.47, 250.27], \"box_3d\": [1.57, 1.72, 3.52, -5.14, 1.93, 19.8], \"ry\": -2.01}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [0.0, 144.2, 170.2, 358.82], \"box_3d\": [2.01, 1.89, 4.91, -6.77, 1.77, 8.99], \"ry\": 1.07}, {\"category\": \"Car\", \"angle\": -1.53, \"box_2d\": [147.81, 189.89, 207.87, 241.61], \"box_3d\": [1.65, 1.67, 3.81, -15.38, 2.28, 25.75], \"ry\": -2.07}, {\"category\": \"Car\", \"angle\": -1.73, \"box_2d\": [356.74, 187.97, 416.1, 235.56], \"box_3d\": [1.52, 1.51, 3.1, -7.94, 2.07, 25.37], \"ry\": -2.03}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [334.06, 188.05, 387.0, 229.12], \"box_3d\": [1.53, 1.58, 3.53, -10.26, 2.17, 29.44], \"ry\": -2.04}]\n```" + } + ] + }, + { + "id": 1192, + "data_source": "Mono3DRefer", + "scene_name": "006886", + "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\": [118.97, 198.64, 249.84, 264.08], \"box_3d\": [1.51, 1.46, 3.63, -11.45, 2.26, 19.61], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [497.34, 172.58, 534.31, 205.18], \"box_3d\": [1.78, 1.72, 4.0, -5.43, 1.8, 41.83], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 1.78, \"box_2d\": [364.6, 183.75, 431.57, 226.03], \"box_3d\": [1.47, 1.69, 3.74, -8.05, 1.9, 27.57], \"ry\": 1.5}, {\"category\": \"Car\", \"angle\": 1.92, \"box_2d\": [285.6, 187.68, 361.56, 228.47], \"box_3d\": [1.48, 1.54, 4.07, -11.53, 2.11, 29.23], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 0.15, \"box_2d\": [275.38, 184.24, 340.84, 204.32], \"box_3d\": [1.43, 1.55, 4.37, -22.75, 2.31, 54.45], \"ry\": -0.25}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [959.74, 158.2, 996.37, 177.42], \"box_3d\": [1.48, 1.61, 3.61, 29.56, 0.35, 57.94], \"ry\": 2.34}]\n```" + } + ] + }, + { + "id": 1193, + "data_source": "Mono3DRefer", + "scene_name": "006899", + "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\": [860.75, 169.73, 954.35, 262.12], \"box_3d\": [1.66, 1.56, 3.42, 6.01, 1.62, 14.81], \"ry\": -1.2}, {\"category\": \"Car\", \"angle\": 1.71, \"box_2d\": [728.78, 175.42, 774.92, 207.1], \"box_3d\": [1.45, 1.64, 4.21, 6.96, 1.59, 35.29], \"ry\": 1.9}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [777.91, 175.23, 810.74, 196.91], \"box_3d\": [1.45, 1.67, 4.43, 12.98, 1.63, 50.71], \"ry\": 1.95}]\n```" + } + ] + }, + { + "id": 1194, + "data_source": "Mono3DRefer", + "scene_name": "006917", + "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\": [718.74, 176.86, 876.02, 295.48], \"box_3d\": [1.62, 1.58, 3.89, 2.83, 1.7, 11.86], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [435.65, 185.21, 533.7, 251.68], \"box_3d\": [1.45, 1.67, 4.43, -3.1, 1.79, 18.46], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [678.45, 181.42, 767.52, 245.17], \"box_3d\": [1.47, 1.59, 3.62, 2.77, 1.7, 18.67], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.47, \"box_2d\": [664.91, 181.45, 729.2, 229.75], \"box_3d\": [1.44, 1.64, 4.5, 2.78, 1.74, 24.15], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [524.58, 180.91, 562.53, 214.4], \"box_3d\": [1.46, 1.51, 3.24, -3.07, 1.84, 33.45], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 1195, + "data_source": "Mono3DRefer", + "scene_name": "006920", + "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\": 2.19, \"box_2d\": [0.0, 210.62, 234.86, 374.0], \"box_3d\": [1.4, 1.59, 3.89, -5.27, 1.84, 6.65], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 0.97, \"box_2d\": [884.06, 193.28, 1241.0, 374.0], \"box_3d\": [1.44, 1.59, 3.51, 2.51, 1.56, 3.03], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -1.69, \"box_2d\": [664.84, 177.98, 740.54, 233.27], \"box_3d\": [1.41, 1.64, 3.77, 2.5, 1.58, 20.56], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [510.91, 180.25, 545.84, 204.2], \"box_3d\": [1.43, 1.76, 3.97, -5.15, 1.91, 45.72], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [303.42, 200.76, 434.85, 271.45], \"box_3d\": [1.31, 1.58, 4.23, -5.48, 2.03, 16.84], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1196, + "data_source": "Mono3DRefer", + "scene_name": "006931", + "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\": [534.64, 176.52, 556.21, 196.16], \"box_3d\": [1.65, 1.56, 3.98, -5.63, 1.99, 63.09], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1197, + "data_source": "Mono3DRefer", + "scene_name": "006948", + "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, 184.67, 261.77, 370.54], \"box_3d\": [1.74, 1.65, 4.11, -6.17, 1.9, 8.91], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [490.79, 181.28, 545.61, 216.2], \"box_3d\": [1.41, 1.76, 4.4, -3.99, 1.79, 31.76], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [215.83, 184.95, 375.94, 274.09], \"box_3d\": [1.61, 1.64, 4.0, -6.51, 1.89, 15.36], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [384.32, 186.37, 456.81, 230.16], \"box_3d\": [1.43, 1.7, 3.74, -6.84, 1.95, 26.27], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.61, \"box_2d\": [629.28, 173.77, 657.31, 198.31], \"box_3d\": [1.55, 1.66, 4.15, 2.15, 1.64, 48.04], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.95, \"box_2d\": [703.57, 164.65, 791.58, 192.02], \"box_3d\": [1.47, 1.7, 4.65, 7.74, 1.05, 40.97], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": 2.98, \"box_2d\": [699.12, 159.11, 775.54, 191.8], \"box_3d\": [1.91, 1.81, 4.33, 7.7, 1.12, 44.04], \"ry\": -3.13}]\n```" + } + ] + }, + { + "id": 1198, + "data_source": "Mono3DRefer", + "scene_name": "006949", + "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\": [778.22, 176.23, 868.17, 224.82], \"box_3d\": [1.4, 1.55, 4.06, 6.68, 1.53, 23.14], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 1199, + "data_source": "Mono3DRefer", + "scene_name": "006957", + "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\": [569.37, 181.72, 666.35, 273.86], \"box_3d\": [1.56, 1.65, 3.69, 0.09, 1.75, 14.24], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 0.58, \"box_2d\": [0.0, 196.71, 74.52, 233.31], \"box_3d\": [1.43, 1.45, 3.5, -24.7, 2.46, 30.08], \"ry\": -0.11}]\n```" + } + ] + }, + { + "id": 1200, + "data_source": "Mono3DRefer", + "scene_name": "006960", + "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\": [638.9, 175.74, 660.6, 194.44], \"box_3d\": [1.55, 1.66, 4.15, 3.39, 1.82, 62.42], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 3.0, \"box_2d\": [694.28, 169.37, 758.6, 189.56], \"box_3d\": [1.47, 1.7, 4.65, 8.86, 1.24, 55.26], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": 2.11, \"box_2d\": [0.0, 204.69, 276.28, 347.52], \"box_3d\": [1.42, 1.54, 3.5, -6.06, 1.91, 9.59], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [715.16, 174.28, 864.75, 273.16], \"box_3d\": [1.51, 1.75, 3.78, 3.02, 1.56, 13.06], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [246.26, 194.95, 396.18, 274.15], \"box_3d\": [1.36, 1.51, 4.02, -5.95, 1.88, 15.28], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.82, \"box_2d\": [385.01, 179.45, 468.06, 238.34], \"box_3d\": [1.74, 1.65, 4.11, -5.91, 1.96, 23.55], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [434.11, 182.97, 494.56, 225.07], \"box_3d\": [1.61, 1.64, 4.0, -6.03, 2.05, 30.11], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [480.54, 183.05, 521.26, 210.2], \"box_3d\": [1.43, 1.7, 3.74, -6.14, 2.02, 40.76], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1201, + "data_source": "Mono3DRefer", + "scene_name": "006967", + "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\": 2.47, \"box_2d\": [0.0, 194.88, 79.07, 283.64], \"box_3d\": [1.43, 1.58, 3.66, -10.94, 1.83, 11.67], \"ry\": 1.72}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [635.58, 177.68, 676.64, 213.79], \"box_3d\": [1.37, 1.56, 3.54, 1.87, 1.58, 29.45], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -1.46, \"box_2d\": [586.71, 170.85, 629.13, 204.53], \"box_3d\": [1.61, 1.69, 4.26, -0.08, 1.54, 36.94], \"ry\": -1.46}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [654.16, 171.25, 685.9, 200.85], \"box_3d\": [1.53, 1.63, 4.5, 3.32, 1.48, 39.91], \"ry\": -1.48}, {\"category\": \"Car\", \"angle\": -0.7, \"box_2d\": [949.94, 157.49, 1058.3, 194.47], \"box_3d\": [1.48, 1.6, 3.84, 16.47, 0.87, 30.25], \"ry\": -0.2}, {\"category\": \"Car\", \"angle\": -0.64, \"box_2d\": [909.87, 155.07, 1003.09, 189.88], \"box_3d\": [1.55, 1.61, 3.64, 16.02, 0.76, 33.49], \"ry\": -0.19}]\n```" + } + ] + }, + { + "id": 1202, + "data_source": "Mono3DRefer", + "scene_name": "006968", + "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\": [454.52, 188.34, 558.22, 256.76], \"box_3d\": [1.33, 1.71, 4.09, -2.31, 1.73, 16.75], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [676.58, 173.24, 728.91, 211.55], \"box_3d\": [1.49, 1.56, 4.34, 3.82, 1.54, 30.55], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.45, \"box_2d\": [524.71, 181.3, 581.82, 225.46], \"box_3d\": [1.42, 1.53, 4.12, -1.98, 1.74, 25.67], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [707.94, 173.73, 796.32, 244.02], \"box_3d\": [1.59, 1.59, 3.89, 3.48, 1.64, 18.46], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [661.64, 175.1, 687.85, 197.07], \"box_3d\": [1.38, 1.64, 3.51, 4.24, 1.54, 47.44], \"ry\": -1.48}]\n```" + } + ] + }, + { + "id": 1203, + "data_source": "Mono3DRefer", + "scene_name": "006975", + "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\": [552.71, 182.05, 603.27, 224.41], \"box_3d\": [1.38, 1.51, 4.1, -1.26, 1.72, 26.01], \"ry\": -1.69}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [590.5, 172.76, 706.49, 269.05], \"box_3d\": [1.6, 1.66, 3.55, 0.57, 1.62, 13.94], \"ry\": -1.68}, {\"category\": \"Car\", \"angle\": 1.94, \"box_2d\": [224.09, 181.85, 270.55, 202.78], \"box_3d\": [1.47, 1.62, 4.32, -26.87, 2.15, 53.56], \"ry\": 1.48}]\n```" + } + ] + }, + { + "id": 1204, + "data_source": "Mono3DRefer", + "scene_name": "006976", + "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\": -2.96, \"box_2d\": [446.53, 178.22, 513.66, 204.38], \"box_3d\": [1.49, 1.64, 3.7, -7.74, 1.83, 43.05], \"ry\": 3.14}]\n```" + } + ] + }, + { + "id": 1205, + "data_source": "Mono3DRefer", + "scene_name": "006982", + "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\": [0.0, 154.17, 47.37, 345.39], \"box_3d\": [2.01, 1.89, 4.91, -8.42, 1.85, 9.15], \"ry\": 0.9}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [226.27, 188.13, 294.7, 236.16], \"box_3d\": [1.52, 1.51, 3.1, -12.19, 2.07, 25.0], \"ry\": -2.23}, {\"category\": \"Car\", \"angle\": -1.76, \"box_2d\": [196.89, 189.22, 259.52, 231.3], \"box_3d\": [1.53, 1.58, 3.53, -15.25, 2.19, 28.66], \"ry\": -2.24}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [173.69, 189.21, 209.19, 218.18], \"box_3d\": [1.46, 1.6, 3.71, -22.9, 2.37, 39.43], \"ry\": -2.1}, {\"category\": \"Car\", \"angle\": -1.8, \"box_2d\": [257.76, 187.34, 355.08, 251.34], \"box_3d\": [1.57, 1.72, 3.52, -8.49, 1.98, 19.92], \"ry\": -2.2}]\n```" + } + ] + }, + { + "id": 1206, + "data_source": "Mono3DRefer", + "scene_name": "006988", + "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\": [174.69, 177.97, 462.32, 374.0], \"box_3d\": [1.65, 1.75, 3.39, -2.62, 1.71, 7.22], \"ry\": 1.48}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [414.14, 180.5, 529.98, 270.95], \"box_3d\": [1.57, 1.54, 4.01, -2.69, 1.73, 14.65], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1207, + "data_source": "Mono3DRefer", + "scene_name": "006990", + "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\": -1.27, \"box_2d\": [202.94, 188.19, 469.61, 340.34], \"box_3d\": [1.33, 1.71, 4.09, -2.96, 1.55, 8.67], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [652.68, 165.97, 724.63, 218.92], \"box_3d\": [1.49, 1.56, 4.34, 2.33, 1.33, 22.71], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.4, \"box_2d\": [427.99, 171.41, 521.32, 238.56], \"box_3d\": [1.42, 1.53, 4.12, -3.2, 1.42, 17.54], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.83, \"box_2d\": [710.02, 163.78, 906.93, 304.68], \"box_3d\": [1.59, 1.59, 3.89, 2.5, 1.52, 10.21], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.54, \"box_2d\": [627.47, 166.29, 659.72, 192.96], \"box_3d\": [1.38, 1.64, 3.51, 1.84, 1.06, 39.42], \"ry\": -1.49}]\n```" + } + ] + }, + { + "id": 1208, + "data_source": "Mono3DRefer", + "scene_name": "007004", + "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\": 1.56, \"box_2d\": [371.3, 160.33, 433.56, 217.12], \"box_3d\": [1.5, 1.59, 3.6, -5.97, 0.96, 20.74], \"ry\": 1.29}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [401.03, 165.53, 446.32, 200.4], \"box_3d\": [1.36, 1.57, 4.06, -7.62, 0.77, 29.93], \"ry\": 1.39}]\n```" + } + ] + }, + { + "id": 1209, + "data_source": "Mono3DRefer", + "scene_name": "007009", + "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\": [582.93, 173.46, 622.7, 208.95], \"box_3d\": [1.41, 1.59, 4.47, -0.33, 1.47, 31.32], \"ry\": 1.57}]\n```" + } + ] + }, + { + "id": 1210, + "data_source": "Mono3DRefer", + "scene_name": "007014", + "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\": [373.84, 179.73, 462.28, 241.62], \"box_3d\": [1.74, 1.65, 4.11, -5.9, 1.96, 22.5], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [552.94, 179.13, 581.72, 199.34], \"box_3d\": [1.41, 1.76, 4.4, -3.12, 1.88, 53.09], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.79, \"box_2d\": [425.96, 181.56, 489.5, 225.2], \"box_3d\": [1.61, 1.64, 4.0, -6.07, 1.97, 28.99], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [476.59, 182.72, 518.65, 210.61], \"box_3d\": [1.43, 1.7, 3.74, -6.16, 1.99, 39.68], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [639.84, 175.59, 662.02, 194.62], \"box_3d\": [1.55, 1.66, 4.15, 3.43, 1.8, 61.34], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 2.99, \"box_2d\": [695.39, 169.85, 761.18, 190.48], \"box_3d\": [1.47, 1.7, 4.65, 8.82, 1.29, 54.12], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": 2.17, \"box_2d\": [0.0, 207.54, 242.73, 373.33], \"box_3d\": [1.42, 1.54, 3.5, -6.04, 1.9, 8.52], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.81, \"box_2d\": [724.79, 176.67, 894.42, 286.4], \"box_3d\": [1.51, 1.75, 3.78, 3.04, 1.6, 11.95], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.97, \"box_2d\": [215.54, 198.23, 382.79, 285.37], \"box_3d\": [1.36, 1.51, 4.02, -5.94, 1.92, 14.22], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1211, + "data_source": "Mono3DRefer", + "scene_name": "007026", + "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, 202.65, 158.86, 308.72], \"box_3d\": [1.43, 1.74, 3.63, -9.12, 2.0, 12.44], \"ry\": 1.14}, {\"category\": \"Car\", \"angle\": 1.25, \"box_2d\": [1119.4, 150.91, 1241.0, 251.55], \"box_3d\": [1.52, 1.55, 3.91, 10.41, 1.19, 12.6], \"ry\": 1.93}, {\"category\": \"Car\", \"angle\": 1.35, \"box_2d\": [958.92, 159.6, 1117.64, 252.21], \"box_3d\": [1.62, 1.84, 4.1, 8.51, 1.41, 14.81], \"ry\": 1.86}, {\"category\": \"Car\", \"angle\": -1.68, \"box_2d\": [413.09, 182.35, 468.77, 220.01], \"box_3d\": [1.38, 1.73, 3.97, -6.89, 1.78, 29.0], \"ry\": -1.91}, {\"category\": \"Car\", \"angle\": -2.87, \"box_2d\": [584.51, 165.18, 682.88, 207.75], \"box_3d\": [1.74, 1.58, 3.9, 0.99, 1.46, 30.82], \"ry\": -2.83}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [220.2, 184.38, 263.86, 214.76], \"box_3d\": [1.58, 1.68, 3.76, -20.48, 2.24, 40.21], \"ry\": 1.23}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [377.65, 175.08, 401.15, 197.09], \"box_3d\": [1.77, 1.77, 5.1, -18.79, 2.0, 61.28], \"ry\": -1.89}, {\"category\": \"Car\", \"angle\": -1.9, \"box_2d\": [507.77, 190.09, 647.54, 270.48], \"box_3d\": [1.35, 1.64, 3.76, -0.84, 1.73, 14.64], \"ry\": -1.96}]\n```" + } + ] + }, + { + "id": 1212, + "data_source": "Mono3DRefer", + "scene_name": "007034", + "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\": [161.43, 220.39, 409.56, 368.42], \"box_3d\": [1.27, 1.54, 3.58, -3.81, 1.97, 9.04], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [357.43, 185.03, 482.16, 276.19], \"box_3d\": [1.63, 1.65, 3.91, -3.89, 1.91, 15.22], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [612.68, 181.34, 652.57, 217.81], \"box_3d\": [1.46, 1.53, 3.17, 0.89, 1.83, 30.87], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 1213, + "data_source": "Mono3DRefer", + "scene_name": "007037", + "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\": [509.59, 180.41, 557.28, 214.91], \"box_3d\": [1.46, 1.75, 4.23, -3.47, 1.82, 33.08], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": 1.89, \"box_2d\": [207.04, 198.14, 422.89, 336.58], \"box_3d\": [1.39, 1.48, 3.76, -3.73, 1.78, 9.7], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 1214, + "data_source": "Mono3DRefer", + "scene_name": "007043", + "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\": [674.11, 180.54, 761.99, 241.43], \"box_3d\": [1.52, 1.55, 3.91, 2.87, 1.74, 20.17], \"ry\": 1.49}, {\"category\": \"Car\", \"angle\": 1.58, \"box_2d\": [591.26, 178.45, 659.9, 238.82], \"box_3d\": [1.62, 1.84, 4.1, 0.43, 1.8, 21.56], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -2.9, \"box_2d\": [275.1, 180.49, 373.77, 220.88], \"box_3d\": [1.74, 1.58, 3.9, -12.96, 2.11, 32.83], \"ry\": 3.01}, {\"category\": \"Car\", \"angle\": -1.62, \"box_2d\": [0.0, 188.11, 28.11, 213.8], \"box_3d\": [1.77, 1.77, 5.1, -44.03, 2.91, 52.9], \"ry\": -2.31}, {\"category\": \"Car\", \"angle\": -1.96, \"box_2d\": [208.8, 200.31, 344.03, 266.9], \"box_3d\": [1.35, 1.64, 3.76, -8.16, 2.05, 17.41], \"ry\": -2.4}]\n```" + } + ] + }, + { + "id": 1215, + "data_source": "Mono3DRefer", + "scene_name": "007047", + "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\": [662.85, 179.87, 705.94, 211.85], \"box_3d\": [1.41, 1.65, 4.28, 3.46, 1.76, 34.44], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": 0.19, \"box_2d\": [414.4, 179.41, 534.39, 217.81], \"box_3d\": [1.44, 1.8, 4.44, -5.38, 1.73, 28.82], \"ry\": 0.0}, {\"category\": \"Car\", \"angle\": 0.3, \"box_2d\": [357.7, 181.17, 505.15, 228.51], \"box_3d\": [1.5, 1.8, 4.5, 0.0, 1.81, 24.4], \"ry\": 0.06}, {\"category\": \"Car\", \"angle\": 0.34, \"box_2d\": [339.9, 178.44, 500.15, 233.26], \"box_3d\": [1.53, 1.8, 4.22, 0.41, 1.72, 21.38], \"ry\": 0.09}, {\"category\": \"Car\", \"angle\": 0.38, \"box_2d\": [318.19, 182.3, 485.11, 242.75], \"box_3d\": [1.5, 1.46, 3.95, -5.46, 1.77, 18.97], \"ry\": 0.1}, {\"category\": \"Car\", \"angle\": 0.34, \"box_2d\": [265.28, 180.44, 448.19, 252.59], \"box_3d\": [1.53, 1.64, 3.6, -5.75, 1.73, 16.53], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -2.62, \"box_2d\": [54.24, 182.88, 325.48, 289.75], \"box_3d\": [1.53, 1.51, 3.38, -6.5, 1.7, 11.31], \"ry\": -3.13}, {\"category\": \"Car\", \"angle\": -2.57, \"box_2d\": [0.0, 193.76, 292.3, 325.75], \"box_3d\": [1.41, 1.63, 3.75, -6.19, 1.71, 8.87], \"ry\": 3.12}]\n```" + } + ] + }, + { + "id": 1216, + "data_source": "Mono3DRefer", + "scene_name": "007058", + "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\": [378.97, 183.85, 471.07, 237.74], \"box_3d\": [1.51, 1.81, 4.07, -5.76, 1.88, 22.82], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1217, + "data_source": "Mono3DRefer", + "scene_name": "007060", + "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\": -0.56, \"box_2d\": [539.8, 184.59, 791.54, 292.9], \"box_3d\": [1.41, 1.62, 3.6, 0.85, 1.62, 11.27], \"ry\": -0.49}, {\"category\": \"Car\", \"angle\": -0.47, \"box_2d\": [440.45, 168.6, 695.64, 278.25], \"box_3d\": [1.77, 1.96, 4.39, -0.79, 1.71, 13.65], \"ry\": -0.53}, {\"category\": \"Car\", \"angle\": 1.42, \"box_2d\": [295.85, 186.38, 349.84, 220.03], \"box_3d\": [1.37, 1.6, 4.5, -12.99, 1.99, 32.39], \"ry\": 1.04}, {\"category\": \"Car\", \"angle\": -0.38, \"box_2d\": [434.19, 187.61, 627.2, 260.38], \"box_3d\": [1.4, 1.51, 3.98, -1.77, 1.76, 16.05], \"ry\": -0.49}]\n```" + } + ] + }, + { + "id": 1218, + "data_source": "Mono3DRefer", + "scene_name": "007063", + "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\": [710.59, 184.74, 834.69, 275.52], \"box_3d\": [1.51, 1.56, 3.81, 3.0, 1.76, 14.2], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.74, \"box_2d\": [681.88, 179.77, 770.96, 245.36], \"box_3d\": [1.57, 1.68, 3.83, 2.98, 1.77, 19.44], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [514.93, 178.12, 552.89, 215.41], \"box_3d\": [1.52, 1.5, 3.85, -3.31, 1.76, 31.6], \"ry\": 1.5}]\n```" + } + ] + }, + { + "id": 1219, + "data_source": "Mono3DRefer", + "scene_name": "007070", + "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\": [602.43, 180.87, 668.27, 234.46], \"box_3d\": [1.36, 1.69, 3.38, 0.61, 1.6, 20.33], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 2.55, \"box_2d\": [990.56, 168.33, 1118.48, 205.24], \"box_3d\": [1.45, 1.67, 4.32, 18.4, 1.29, 30.02], \"ry\": 3.1}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [393.46, 182.52, 439.91, 210.65], \"box_3d\": [1.59, 1.72, 3.86, -11.6, 2.19, 43.42], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [585.58, 176.89, 627.76, 215.38], \"box_3d\": [1.52, 1.67, 3.61, -0.16, 1.7, 30.55], \"ry\": -1.57}]\n```" + } + ] + }, + { + "id": 1220, + "data_source": "Mono3DRefer", + "scene_name": "007076", + "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\": [400.75, 175.56, 499.3, 243.96], \"box_3d\": [1.5, 1.62, 4.19, -3.92, 1.59, 18.12], \"ry\": 1.55}]\n```" + } + ] + }, + { + "id": 1221, + "data_source": "Mono3DRefer", + "scene_name": "007082", + "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\": [647.05, 173.15, 715.63, 222.32], \"box_3d\": [1.41, 1.58, 4.36, 2.15, 1.45, 23.11], \"ry\": -1.61}]\n```" + } + ] + }, + { + "id": 1222, + "data_source": "Mono3DRefer", + "scene_name": "007090", + "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\": 0.36, \"box_2d\": [321.76, 185.1, 451.62, 222.61], \"box_3d\": [1.36, 1.68, 4.49, -8.62, 1.86, 27.94], \"ry\": 0.07}]\n```" + } + ] + }, + { + "id": 1223, + "data_source": "Mono3DRefer", + "scene_name": "007091", + "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\": [740.73, 177.82, 940.06, 322.53], \"box_3d\": [1.62, 1.58, 3.89, 2.9, 1.7, 10.07], \"ry\": 1.59}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [420.67, 186.62, 533.0, 261.45], \"box_3d\": [1.45, 1.67, 4.43, -2.96, 1.8, 16.72], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [688.78, 183.98, 790.47, 255.97], \"box_3d\": [1.47, 1.59, 3.62, 2.87, 1.74, 16.88], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": 1.46, \"box_2d\": [669.56, 182.26, 740.81, 235.07], \"box_3d\": [1.44, 1.64, 4.5, 2.8, 1.75, 22.35], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [525.45, 181.69, 565.56, 217.32], \"box_3d\": [1.46, 1.51, 3.24, -2.81, 1.86, 31.6], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.5, \"box_2d\": [661.79, 181.65, 699.6, 211.06], \"box_3d\": [1.38, 1.59, 4.19, 3.49, 1.83, 36.45], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 1224, + "data_source": "Mono3DRefer", + "scene_name": "007093", + "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\": [0.0, 206.62, 418.13, 374.0], \"box_3d\": [1.51, 1.63, 4.03, -3.21, 1.89, 6.42], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.95, \"box_2d\": [371.98, 195.37, 531.85, 306.84], \"box_3d\": [1.57, 1.44, 3.6, -2.62, 2.01, 12.6], \"ry\": 1.75}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [514.7, 196.2, 613.34, 264.42], \"box_3d\": [1.47, 1.51, 3.5, -1.1, 2.1, 18.26], \"ry\": 1.81}, {\"category\": \"Car\", \"angle\": -1.34, \"box_2d\": [764.38, 176.37, 810.22, 206.39], \"box_3d\": [1.77, 1.75, 4.67, 11.08, 2.0, 44.96], \"ry\": -1.1}, {\"category\": \"Car\", \"angle\": 1.74, \"box_2d\": [805.88, 173.99, 838.14, 195.93], \"box_3d\": [1.6, 1.68, 3.94, 16.06, 1.7, 54.61], \"ry\": 2.03}]\n```" + } + ] + }, + { + "id": 1225, + "data_source": "Mono3DRefer", + "scene_name": "007095", + "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\": -2.26, \"box_2d\": [985.18, 189.76, 1241.0, 374.0], \"box_3d\": [1.66, 1.56, 3.42, 2.81, 1.75, 2.5], \"ry\": -1.48}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [500.14, 174.51, 571.73, 227.35], \"box_3d\": [1.45, 1.64, 4.21, -2.21, 1.53, 22.12], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.48, \"box_2d\": [694.99, 175.59, 739.41, 214.5], \"box_3d\": [1.62, 1.58, 3.89, 4.69, 1.76, 32.17], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.69, \"box_2d\": [573.43, 175.64, 614.26, 204.28], \"box_3d\": [1.45, 1.67, 4.43, -0.84, 1.62, 39.13], \"ry\": 1.67}]\n```" + } + ] + }, + { + "id": 1226, + "data_source": "Mono3DRefer", + "scene_name": "007097", + "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\": -1.4, \"box_2d\": [453.56, 176.5, 546.48, 244.0], \"box_3d\": [1.47, 1.59, 4.03, -2.41, 1.36, 17.8], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [519.98, 175.51, 567.11, 213.85], \"box_3d\": [1.41, 1.54, 3.36, -2.24, 1.19, 28.33], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -1.56, \"box_2d\": [601.2, 169.86, 640.92, 206.07], \"box_3d\": [1.52, 1.67, 4.38, 0.92, 1.03, 32.75], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": -1.5, \"box_2d\": [565.62, 168.18, 597.05, 195.91], \"box_3d\": [1.56, 1.59, 3.65, -1.15, 0.81, 42.73], \"ry\": -1.53}]\n```" + } + ] + }, + { + "id": 1227, + "data_source": "Mono3DRefer", + "scene_name": "007123", + "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\": 0.86, \"box_2d\": [0.0, 218.09, 253.72, 374.0], \"box_3d\": [1.38, 1.66, 4.38, -5.03, 1.75, 4.88], \"ry\": 0.09}, {\"category\": \"Car\", \"angle\": -0.87, \"box_2d\": [1007.79, 137.15, 1241.0, 374.0], \"box_3d\": [1.74, 1.66, 4.37, 4.65, 1.58, 3.7], \"ry\": -0.01}, {\"category\": \"Car\", \"angle\": -2.71, \"box_2d\": [237.41, 187.55, 465.25, 261.96], \"box_3d\": [1.47, 1.67, 4.28, -5.48, 1.81, 15.43], \"ry\": -3.04}, {\"category\": \"Car\", \"angle\": -2.99, \"box_2d\": [339.93, 187.76, 505.31, 240.79], \"box_3d\": [1.38, 1.67, 4.37, -5.29, 1.84, 20.66], \"ry\": 3.04}, {\"category\": \"Car\", \"angle\": -0.44, \"box_2d\": [844.33, 176.17, 1115.5, 290.36], \"box_3d\": [1.54, 1.58, 3.2, 5.3, 1.61, 10.72], \"ry\": 0.01}, {\"category\": \"Car\", \"angle\": -0.56, \"box_2d\": [884.18, 176.73, 1241.0, 325.48], \"box_3d\": [1.51, 1.72, 4.03, 5.48, 1.57, 8.34], \"ry\": 0.01}]\n```" + } + ] + }, + { + "id": 1228, + "data_source": "Mono3DRefer", + "scene_name": "007140", + "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\": [402.43, 172.74, 540.07, 270.03], \"box_3d\": [1.77, 1.75, 4.67, -2.81, 1.8, 15.52], \"ry\": -1.5}, {\"category\": \"Car\", \"angle\": -0.96, \"box_2d\": [1218.42, 136.54, 1241.0, 337.64], \"box_3d\": [1.47, 1.52, 4.43, 6.78, 1.17, 4.73], \"ry\": -0.03}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [518.73, 173.61, 579.46, 221.23], \"box_3d\": [1.6, 1.68, 3.94, -2.18, 1.65, 26.38], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 1.63, \"box_2d\": [588.48, 172.62, 613.33, 192.1], \"box_3d\": [1.42, 1.66, 4.11, -0.68, 1.43, 55.3], \"ry\": 1.61}, {\"category\": \"Car\", \"angle\": -0.04, \"box_2d\": [949.04, 125.87, 1186.15, 230.18], \"box_3d\": [1.66, 1.15, 3.39, 7.89, 0.94, 12.78], \"ry\": 0.51}]\n```" + } + ] + }, + { + "id": 1229, + "data_source": "Mono3DRefer", + "scene_name": "007147", + "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\": 2.88, \"box_2d\": [510.73, 157.13, 746.01, 251.35], \"box_3d\": [1.46, 1.53, 3.8, 0.32, 1.09, 12.29], \"ry\": 2.9}, {\"category\": \"Car\", \"angle\": -3.02, \"box_2d\": [195.37, 146.41, 471.42, 252.08], \"box_3d\": [1.53, 1.4, 3.94, -4.24, 1.02, 11.45], \"ry\": 2.92}, {\"category\": \"Car\", \"angle\": -2.6, \"box_2d\": [0.0, 148.79, 85.45, 256.99], \"box_3d\": [1.48, 1.55, 3.29, -9.75, 1.06, 10.14], \"ry\": 2.93}]\n```" + } + ] + }, + { + "id": 1230, + "data_source": "Mono3DRefer", + "scene_name": "007153", + "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\": [508.19, 186.84, 591.36, 239.55], \"box_3d\": [1.51, 1.63, 4.03, -1.89, 1.99, 23.42], \"ry\": 1.77}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [564.76, 185.22, 627.34, 227.09], \"box_3d\": [1.57, 1.44, 3.6, -0.54, 2.1, 29.63], \"ry\": 1.89}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [619.51, 186.3, 670.03, 219.05], \"box_3d\": [1.47, 1.51, 3.5, 1.71, 2.14, 35.06], \"ry\": 1.91}, {\"category\": \"Car\", \"angle\": -1.26, \"box_2d\": [794.28, 170.48, 833.21, 192.57], \"box_3d\": [1.77, 1.75, 4.67, 17.02, 1.6, 60.17], \"ry\": -0.98}]\n```" + } + ] + }, + { + "id": 1231, + "data_source": "Mono3DRefer", + "scene_name": "007155", + "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\": [178.21, 181.46, 498.15, 374.0], \"box_3d\": [1.57, 1.54, 4.01, -2.36, 1.67, 7.29], \"ry\": 1.62}]\n```" + } + ] + }, + { + "id": 1232, + "data_source": "Mono3DRefer", + "scene_name": "007158", + "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\": [653.74, 162.26, 681.96, 185.85], \"box_3d\": [1.47, 1.55, 3.67, 3.74, 0.83, 47.36], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.32, \"box_2d\": [795.32, 162.17, 921.1, 211.61], \"box_3d\": [1.62, 1.58, 3.78, 8.48, 1.29, 24.94], \"ry\": 0.0}]\n```" + } + ] + }, + { + "id": 1233, + "data_source": "Mono3DRefer", + "scene_name": "007175", + "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\": [545.53, 178.79, 573.49, 203.72], \"box_3d\": [1.41, 1.59, 4.47, -3.07, 1.79, 43.68], \"ry\": 1.51}]\n```" + } + ] + }, + { + "id": 1234, + "data_source": "Mono3DRefer", + "scene_name": "007177", + "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\": -1.03, \"box_2d\": [0.0, 184.72, 332.54, 374.0], \"box_3d\": [1.72, 1.8, 4.16, -4.58, 1.86, 7.34], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [388.6, 182.09, 477.6, 243.86], \"box_3d\": [1.62, 1.66, 3.81, -5.11, 1.9, 21.14], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [475.83, 181.26, 522.71, 212.0], \"box_3d\": [1.46, 1.67, 4.92, -5.68, 1.91, 37.33], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [630.84, 175.57, 654.71, 195.21], \"box_3d\": [1.51, 1.84, 4.1, 2.63, 1.75, 58.17], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [670.66, 172.47, 762.8, 245.88], \"box_3d\": [1.61, 1.67, 3.62, 2.48, 1.63, 17.79], \"ry\": -1.58}]\n```" + } + ] + }, + { + "id": 1235, + "data_source": "Mono3DRefer", + "scene_name": "007184", + "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\": [770.41, 167.35, 846.24, 232.58], \"box_3d\": [1.56, 1.65, 3.69, 5.14, 1.45, 19.2], \"ry\": -1.38}, {\"category\": \"Car\", \"angle\": 2.12, \"box_2d\": [351.24, 182.24, 504.69, 246.91], \"box_3d\": [1.42, 1.67, 4.53, -4.52, 1.68, 18.55], \"ry\": 1.88}, {\"category\": \"Car\", \"angle\": -0.42, \"box_2d\": [1031.94, 158.52, 1137.75, 193.41], \"box_3d\": [1.54, 1.63, 3.74, 21.94, 0.92, 33.5], \"ry\": 0.15}]\n```" + } + ] + }, + { + "id": 1236, + "data_source": "Mono3DRefer", + "scene_name": "007185", + "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\": [14.94, 196.05, 413.8, 374.0], \"box_3d\": [1.43, 1.7, 3.95, -3.55, 1.72, 7.34], \"ry\": 1.64}, {\"category\": \"Car\", \"angle\": -1.84, \"box_2d\": [775.65, 182.89, 921.72, 280.65], \"box_3d\": [1.51, 1.6, 3.24, 4.07, 1.7, 12.93], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [742.95, 177.39, 836.96, 241.2], \"box_3d\": [1.45, 1.74, 4.1, 4.44, 1.58, 18.53], \"ry\": -1.47}, {\"category\": \"Car\", \"angle\": 1.8, \"box_2d\": [448.0, 184.37, 543.14, 249.39], \"box_3d\": [1.54, 1.68, 3.79, -3.0, 1.87, 19.41], \"ry\": 1.65}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [504.62, 181.35, 564.98, 228.52], \"box_3d\": [1.49, 1.52, 3.35, -2.55, 1.8, 24.8], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [715.5, 180.15, 782.84, 228.22], \"box_3d\": [1.53, 1.65, 4.37, 4.75, 1.79, 25.36], \"ry\": -1.53}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [535.46, 178.04, 584.6, 220.02], \"box_3d\": [1.74, 1.65, 4.18, -2.2, 1.99, 32.27], \"ry\": 1.63}, {\"category\": \"Car\", \"angle\": 1.93, \"box_2d\": [578.42, 178.34, 626.62, 210.14], \"box_3d\": [1.64, 1.45, 3.48, -0.39, 1.94, 39.07], \"ry\": 1.92}, {\"category\": \"Car\", \"angle\": 2.05, \"box_2d\": [664.79, 175.77, 714.07, 199.43], \"box_3d\": [1.54, 1.64, 4.08, 5.44, 1.75, 49.25], \"ry\": 2.16}]\n```" + } + ] + }, + { + "id": 1237, + "data_source": "Mono3DRefer", + "scene_name": "007190", + "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\": [807.23, 176.66, 928.12, 237.24], \"box_3d\": [1.4, 1.55, 4.06, 6.57, 1.52, 18.98], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 1238, + "data_source": "Mono3DRefer", + "scene_name": "007191", + "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\": [388.4, 165.29, 514.03, 266.35], \"box_3d\": [1.97, 1.87, 4.53, -3.47, 1.86, 16.48], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [465.31, 184.16, 533.37, 232.19], \"box_3d\": [1.47, 1.62, 3.79, -3.71, 1.87, 24.53], \"ry\": 1.6}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [524.78, 176.74, 559.45, 208.76], \"box_3d\": [1.7, 1.53, 3.82, -3.81, 1.94, 40.65], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1239, + "data_source": "Mono3DRefer", + "scene_name": "007198", + "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\": -1.52, \"box_2d\": [888.44, 171.07, 976.99, 257.7], \"box_3d\": [1.66, 1.56, 3.42, 7.03, 1.64, 15.67], \"ry\": -1.11}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [770.05, 175.69, 817.47, 206.72], \"box_3d\": [1.45, 1.64, 4.21, 9.19, 1.61, 35.98], \"ry\": 1.98}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [819.43, 174.63, 853.92, 196.1], \"box_3d\": [1.45, 1.67, 4.43, 16.07, 1.59, 51.1], \"ry\": 2.03}]\n```" + } + ] + }, + { + "id": 1240, + "data_source": "Mono3DRefer", + "scene_name": "007218", + "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\": [297.44, 185.31, 362.1, 235.01], \"box_3d\": [1.78, 1.72, 4.0, -11.03, 2.29, 28.55], \"ry\": 1.37}, {\"category\": \"Car\", \"angle\": 2.08, \"box_2d\": [0.0, 211.23, 47.75, 313.0], \"box_3d\": [1.47, 1.69, 3.74, -9.9, 2.1, 10.16], \"ry\": 1.32}, {\"category\": \"Car\", \"angle\": 0.25, \"box_2d\": [17.42, 201.73, 117.53, 229.68], \"box_3d\": [1.43, 1.55, 4.37, -31.24, 3.16, 41.65], \"ry\": -0.39}, {\"category\": \"Car\", \"angle\": 1.87, \"box_2d\": [790.47, 178.49, 836.03, 204.57], \"box_3d\": [1.48, 1.61, 3.61, 12.17, 1.83, 43.18], \"ry\": 2.15}]\n```" + } + ] + }, + { + "id": 1241, + "data_source": "Mono3DRefer", + "scene_name": "007222", + "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\": [610.18, 178.41, 684.16, 243.6], \"box_3d\": [1.37, 1.56, 3.54, 0.79, 1.52, 17.11], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [517.02, 168.84, 589.51, 226.16], \"box_3d\": [1.61, 1.69, 4.26, -1.71, 1.53, 22.58], \"ry\": -1.51}, {\"category\": \"Car\", \"angle\": -1.55, \"box_2d\": [629.23, 168.02, 679.46, 214.94], \"box_3d\": [1.53, 1.63, 4.5, 1.6, 1.4, 26.0], \"ry\": -1.49}, {\"category\": \"Car\", \"angle\": -0.98, \"box_2d\": [1159.5, 132.98, 1241.0, 201.04], \"box_3d\": [1.48, 1.6, 3.84, 15.12, 0.61, 16.89], \"ry\": -0.25}, {\"category\": \"Car\", \"angle\": -0.87, \"box_2d\": [1060.06, 136.58, 1218.96, 195.48], \"box_3d\": [1.55, 1.61, 3.64, 14.74, 0.59, 20.17], \"ry\": -0.25}]\n```" + } + ] + }, + { + "id": 1242, + "data_source": "Mono3DRefer", + "scene_name": "007246", + "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\": [610.31, 163.17, 648.43, 185.96], \"box_3d\": [1.43, 1.68, 4.19, 1.31, 0.84, 47.82], \"ry\": 1.81}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [0.0, 181.98, 397.62, 374.0], \"box_3d\": [1.7, 1.82, 4.45, -3.84, 1.81, 7.56], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.48, \"box_2d\": [665.93, 163.22, 705.17, 198.89], \"box_3d\": [1.57, 1.56, 2.62, 3.5, 1.17, 33.4], \"ry\": -1.38}]\n```" + } + ] + }, + { + "id": 1243, + "data_source": "Mono3DRefer", + "scene_name": "007251", + "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\": [433.95, 185.71, 479.57, 228.55], \"box_3d\": [1.65, 1.75, 3.39, -6.4, 2.21, 30.22], \"ry\": 1.39}]\n```" + } + ] + }, + { + "id": 1244, + "data_source": "Mono3DRefer", + "scene_name": "007257", + "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\": [981.82, 181.55, 1022.75, 215.19], \"box_3d\": [1.43, 1.55, 3.91, 18.08, 1.85, 33.26], \"ry\": -1.06}]\n```" + } + ] + }, + { + "id": 1245, + "data_source": "Mono3DRefer", + "scene_name": "007259", + "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\": [547.0, 159.84, 621.55, 213.16], \"box_3d\": [1.77, 1.75, 4.67, -0.87, 1.37, 26.42], \"ry\": -1.39}, {\"category\": \"Car\", \"angle\": -2.05, \"box_2d\": [131.83, 206.07, 237.75, 272.98], \"box_3d\": [1.72, 1.39, 3.07, -12.36, 2.73, 20.87], \"ry\": -2.58}, {\"category\": \"Car\", \"angle\": -1.91, \"box_2d\": [0.0, 210.13, 98.54, 301.26], \"box_3d\": [1.46, 1.52, 2.75, -11.23, 2.21, 13.62], \"ry\": -2.59}, {\"category\": \"Car\", \"angle\": -0.57, \"box_2d\": [1009.87, 147.95, 1241.0, 247.18], \"box_3d\": [1.48, 1.63, 3.98, 8.91, 1.12, 11.69], \"ry\": 0.07}, {\"category\": \"Car\", \"angle\": -0.4, \"box_2d\": [868.59, 150.73, 1126.22, 227.72], \"box_3d\": [1.47, 1.52, 4.43, 7.79, 1.07, 14.89], \"ry\": 0.08}, {\"category\": \"Car\", \"angle\": 1.68, \"box_2d\": [603.02, 157.28, 644.41, 190.3], \"box_3d\": [1.6, 1.68, 3.94, 0.73, 0.86, 37.23], \"ry\": 1.7}]\n```" + } + ] + }, + { + "id": 1246, + "data_source": "Mono3DRefer", + "scene_name": "007261", + "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\": [674.01, 179.01, 748.32, 237.65], \"box_3d\": [1.6, 1.53, 4.18, 2.93, 1.8, 21.95], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [659.13, 178.33, 716.76, 222.87], \"box_3d\": [1.56, 1.57, 3.98, 2.87, 1.79, 27.63], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 1.75, \"box_2d\": [404.83, 182.62, 532.29, 276.72], \"box_3d\": [1.55, 1.68, 4.42, -2.66, 1.76, 14.33], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1247, + "data_source": "Mono3DRefer", + "scene_name": "007267", + "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\": [696.62, 177.91, 846.09, 283.55], \"box_3d\": [1.49, 1.56, 4.34, 2.52, 1.59, 12.47], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.23, \"box_2d\": [117.65, 187.11, 437.14, 374.0], \"box_3d\": [1.42, 1.53, 4.12, -3.04, 1.6, 7.49], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.59, \"box_2d\": [645.28, 177.85, 688.58, 214.17], \"box_3d\": [1.38, 1.64, 3.51, 2.25, 1.59, 29.37], \"ry\": -1.51}]\n```" + } + ] + }, + { + "id": 1248, + "data_source": "Mono3DRefer", + "scene_name": "007268", + "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\": [0.0, 202.87, 40.72, 254.42], \"box_3d\": [1.48, 1.65, 3.6, -19.6, 2.48, 22.58], \"ry\": 1.24}, {\"category\": \"Car\", \"angle\": 1.86, \"box_2d\": [573.4, 185.2, 629.82, 220.35], \"box_3d\": [1.48, 1.61, 3.61, -0.36, 2.07, 32.98], \"ry\": 1.85}]\n```" + } + ] + }, + { + "id": 1249, + "data_source": "Mono3DRefer", + "scene_name": "007270", + "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\": [469.38, 176.82, 513.34, 221.93], \"box_3d\": [1.68, 1.63, 3.9, -4.83, 1.86, 29.21], \"ry\": 1.41}, {\"category\": \"Car\", \"angle\": 1.45, \"box_2d\": [456.02, 181.67, 493.33, 207.72], \"box_3d\": [1.47, 1.7, 4.39, -8.23, 2.01, 43.47], \"ry\": 1.27}]\n```" + } + ] + }, + { + "id": 1250, + "data_source": "Mono3DRefer", + "scene_name": "007275", + "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\": [313.12, 191.96, 530.01, 344.58], \"box_3d\": [1.44, 1.67, 3.88, -2.14, 1.72, 9.1], \"ry\": 1.58}]\n```" + } + ] + }, + { + "id": 1251, + "data_source": "Mono3DRefer", + "scene_name": "007277", + "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\": [790.84, 188.38, 1217.1, 374.0], \"box_3d\": [1.47, 1.55, 3.37, 2.63, 1.62, 5.8], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.19, \"box_2d\": [179.72, 182.04, 413.81, 321.05], \"box_3d\": [1.72, 1.8, 4.16, -4.54, 1.87, 11.13], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.76, \"box_2d\": [429.88, 181.41, 499.82, 232.66], \"box_3d\": [1.62, 1.66, 3.81, -4.98, 1.93, 25.04], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [491.89, 182.21, 532.91, 210.09], \"box_3d\": [1.46, 1.67, 4.92, -5.52, 2.01, 41.09], \"ry\": 1.57}, {\"category\": \"Car\", \"angle\": -1.57, \"box_2d\": [634.07, 176.03, 656.42, 194.41], \"box_3d\": [1.51, 1.84, 4.1, 3.01, 1.8, 62.0], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [664.46, 173.89, 738.05, 233.13], \"box_3d\": [1.61, 1.67, 3.62, 2.61, 1.66, 21.62], \"ry\": -1.59}]\n```" + } + ] + }, + { + "id": 1252, + "data_source": "Mono3DRefer", + "scene_name": "007285", + "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\": [326.42, 191.75, 486.14, 298.44], \"box_3d\": [1.45, 1.53, 3.98, -3.31, 1.82, 12.34], \"ry\": 1.59}]\n```" + } + ] + }, + { + "id": 1253, + "data_source": "Mono3DRefer", + "scene_name": "007294", + "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\": [398.77, 187.68, 515.77, 278.39], \"box_3d\": [1.46, 1.6, 3.33, -2.81, 1.77, 13.69], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.75, \"box_2d\": [686.14, 176.06, 809.76, 272.45], \"box_3d\": [1.64, 1.7, 3.54, 2.52, 1.72, 14.19], \"ry\": -1.58}, {\"category\": \"Car\", \"angle\": -1.72, \"box_2d\": [670.83, 182.69, 750.42, 242.08], \"box_3d\": [1.37, 1.51, 3.39, 2.47, 1.64, 18.64], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 1.64, \"box_2d\": [531.45, 179.43, 569.09, 210.82], \"box_3d\": [1.55, 1.68, 4.42, -3.14, 1.91, 38.25], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1254, + "data_source": "Mono3DRefer", + "scene_name": "007297", + "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\": [368.27, 179.33, 495.2, 279.79], \"box_3d\": [1.7, 1.53, 3.82, -3.4, 1.84, 14.25], \"ry\": 1.58}, {\"category\": \"Car\", \"angle\": 1.67, \"box_2d\": [489.97, 181.58, 544.87, 228.93], \"box_3d\": [1.5, 1.53, 3.38, -3.17, 1.81, 24.92], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.9, \"box_2d\": [540.92, 175.01, 589.08, 204.94], \"box_3d\": [1.56, 1.56, 3.6, -2.45, 1.7, 39.58], \"ry\": 1.83}]\n```" + } + ] + }, + { + "id": 1255, + "data_source": "Mono3DRefer", + "scene_name": "007299", + "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\": [0.0, 183.13, 211.25, 374.0], \"box_3d\": [1.73, 1.65, 3.96, -3.47, 1.78, 2.78], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": -1.99, \"box_2d\": [747.57, 140.38, 1100.83, 352.13], \"box_3d\": [1.78, 1.89, 4.37, 3.07, 1.53, 8.34], \"ry\": -1.65}, {\"category\": \"Car\", \"angle\": 1.96, \"box_2d\": [88.26, 180.73, 389.2, 374.0], \"box_3d\": [1.68, 1.51, 3.29, -3.54, 1.77, 7.45], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.81, \"box_2d\": [322.67, 194.03, 459.28, 279.15], \"box_3d\": [1.39, 1.66, 4.04, -4.28, 1.86, 14.59], \"ry\": 1.53}, {\"category\": \"Car\", \"angle\": 1.72, \"box_2d\": [471.6, 177.14, 519.42, 218.54], \"box_3d\": [1.86, 1.67, 4.13, -5.47, 2.08, 34.71], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1256, + "data_source": "Mono3DRefer", + "scene_name": "007317", + "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\": [11.96, 190.55, 131.99, 264.28], \"box_3d\": [1.78, 1.72, 4.0, -14.94, 2.31, 20.22], \"ry\": 1.19}, {\"category\": \"Car\", \"angle\": 1.84, \"box_2d\": [90.66, 200.3, 174.24, 246.73], \"box_3d\": [1.48, 1.65, 3.6, -17.6, 2.55, 26.69], \"ry\": 1.27}, {\"category\": \"Car\", \"angle\": 1.85, \"box_2d\": [644.68, 183.08, 695.94, 214.75], \"box_3d\": [1.48, 1.61, 3.61, 3.05, 2.01, 36.23], \"ry\": 1.94}]\n```" + } + ] + }, + { + "id": 1257, + "data_source": "Mono3DRefer", + "scene_name": "007325", + "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\": [635.46, 183.97, 678.15, 214.59], \"box_3d\": [1.32, 1.63, 4.1, 2.11, 1.86, 34.01], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 0.23, \"box_2d\": [378.56, 180.62, 500.16, 224.56], \"box_3d\": [1.58, 1.56, 4.25, -6.46, 1.9, 27.43], \"ry\": -0.0}, {\"category\": \"Car\", \"angle\": -2.83, \"box_2d\": [278.63, 184.95, 445.57, 246.03], \"box_3d\": [1.5, 1.58, 3.88, -6.52, 1.85, 19.12], \"ry\": 3.13}, {\"category\": \"Car\", \"angle\": -0.32, \"box_2d\": [742.07, 181.76, 905.18, 241.82], \"box_3d\": [1.5, 1.62, 3.88, 5.63, 1.76, 19.43], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": -2.79, \"box_2d\": [141.34, 170.72, 392.99, 269.89], \"box_3d\": [1.77, 1.68, 4.12, -6.59, 1.76, 14.13], \"ry\": 3.07}, {\"category\": \"Car\", \"angle\": 0.52, \"box_2d\": [55.13, 184.89, 375.37, 289.04], \"box_3d\": [1.51, 1.59, 4.28, -6.21, 1.73, 11.54], \"ry\": 0.04}, {\"category\": \"Car\", \"angle\": 0.6, \"box_2d\": [0.0, 191.59, 332.09, 323.56], \"box_3d\": [1.5, 1.49, 3.86, -5.8, 1.76, 9.16], \"ry\": 0.05}, {\"category\": \"Car\", \"angle\": -0.63, \"box_2d\": [925.43, 182.86, 1241.0, 313.4], \"box_3d\": [1.55, 1.58, 3.51, 6.31, 1.71, 9.71], \"ry\": -0.07}, {\"category\": \"Car\", \"angle\": -0.79, \"box_2d\": [1023.87, 193.53, 1241.0, 356.16], \"box_3d\": [1.4, 1.59, 3.49, 6.4, 1.63, 7.41], \"ry\": -0.09}]\n```" + } + ] + }, + { + "id": 1258, + "data_source": "Mono3DRefer", + "scene_name": "007331", + "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\": [590.81, 171.47, 622.3, 202.59], \"box_3d\": [1.65, 1.67, 3.64, -0.18, 1.6, 40.46], \"ry\": -1.55}]\n```" + } + ] + }, + { + "id": 1259, + "data_source": "Mono3DRefer", + "scene_name": "007358", + "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\": 2.22, \"box_2d\": [0.0, 206.79, 428.52, 374.0], \"box_3d\": [1.56, 1.56, 3.6, -2.34, 1.8, 3.57], \"ry\": 1.67}, {\"category\": \"Car\", \"angle\": 1.91, \"box_2d\": [212.98, 191.66, 423.53, 358.97], \"box_3d\": [1.7, 1.43, 3.2, -3.54, 1.97, 9.2], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": 1.51, \"box_2d\": [502.23, 182.13, 526.77, 205.16], \"box_3d\": [1.68, 1.63, 3.9, -7.38, 2.4, 55.39], \"ry\": 1.38}]\n```" + } + ] + }, + { + "id": 1260, + "data_source": "Mono3DRefer", + "scene_name": "007370", + "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\": [363.97, 169.91, 471.82, 261.87], \"box_3d\": [1.68, 1.63, 3.9, -3.98, 1.66, 15.34], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": 1.52, \"box_2d\": [432.28, 176.86, 480.7, 215.96], \"box_3d\": [1.47, 1.7, 4.39, -6.41, 1.66, 29.67], \"ry\": 1.31}]\n```" + } + ] + }, + { + "id": 1261, + "data_source": "Mono3DRefer", + "scene_name": "007383", + "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\": [392.94, 173.22, 508.3, 265.09], \"box_3d\": [1.73, 1.65, 3.96, -3.35, 1.76, 15.69], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.78, \"box_2d\": [682.46, 163.67, 778.87, 231.12], \"box_3d\": [1.78, 1.89, 4.37, 3.4, 1.56, 21.42], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [459.28, 174.09, 528.76, 239.04], \"box_3d\": [1.68, 1.51, 3.29, -3.25, 1.73, 20.46], \"ry\": 1.54}, {\"category\": \"Car\", \"angle\": 2.03, \"box_2d\": [0.0, 160.03, 396.67, 374.0], \"box_3d\": [1.77, 1.71, 4.28, -3.49, 1.72, 6.62], \"ry\": 1.56}, {\"category\": \"Car\", \"angle\": -1.82, \"box_2d\": [721.89, 178.59, 853.34, 257.92], \"box_3d\": [1.45, 1.71, 3.93, 3.55, 1.59, 15.33], \"ry\": -1.6}]\n```" + } + ] + }, + { + "id": 1262, + "data_source": "Mono3DRefer", + "scene_name": "007390", + "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\": 2.28, \"box_2d\": [0.0, 172.09, 121.09, 240.89], \"box_3d\": [1.78, 1.6, 4.29, -16.48, 1.79, 20.81], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": 2.2, \"box_2d\": [110.09, 182.54, 218.35, 227.85], \"box_3d\": [1.5, 1.47, 3.62, -16.06, 1.87, 26.13], \"ry\": 1.65}]\n```" + } + ] + }, + { + "id": 1263, + "data_source": "Mono3DRefer", + "scene_name": "007406", + "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\": [569.63, 185.18, 653.77, 266.1], \"box_3d\": [1.56, 1.65, 3.69, -0.04, 1.86, 16.12], \"ry\": -1.59}, {\"category\": \"Car\", \"angle\": 0.61, \"box_2d\": [0.0, 203.84, 26.88, 243.05], \"box_3d\": [1.43, 1.45, 3.5, -24.82, 2.67, 27.69], \"ry\": -0.11}]\n```" + } + ] + }, + { + "id": 1264, + "data_source": "Mono3DRefer", + "scene_name": "007413", + "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\": -0.39, \"box_2d\": [806.49, 166.38, 970.04, 230.39], \"box_3d\": [1.62, 1.58, 3.78, 7.39, 1.47, 19.48], \"ry\": -0.04}, {\"category\": \"Car\", \"angle\": -1.65, \"box_2d\": [620.65, 169.37, 653.02, 196.32], \"box_3d\": [1.47, 1.55, 3.67, 1.48, 1.31, 41.68], \"ry\": -1.62}]\n```" + } + ] + }, + { + "id": 1265, + "data_source": "Mono3DRefer", + "scene_name": "007414", + "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\": [1085.21, 174.48, 1241.0, 374.0], \"box_3d\": [1.51, 1.69, 4.04, 3.66, 1.51, 3.81], \"ry\": -1.06}, {\"category\": \"Car\", \"angle\": -1.98, \"box_2d\": [693.54, 182.08, 997.29, 361.76], \"box_3d\": [1.46, 1.58, 3.93, 2.18, 1.57, 8.01], \"ry\": -1.72}, {\"category\": \"Car\", \"angle\": 2.01, \"box_2d\": [0.0, 197.7, 275.08, 339.99], \"box_3d\": [1.5, 1.68, 4.03, -6.41, 1.91, 10.26], \"ry\": 1.46}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [607.4, 171.22, 728.3, 260.59], \"box_3d\": [1.6, 1.7, 3.56, 1.01, 1.59, 14.89], \"ry\": -1.72}, {\"category\": \"Car\", \"angle\": -1.77, \"box_2d\": [572.05, 177.5, 662.59, 239.73], \"box_3d\": [1.52, 1.73, 3.89, 0.05, 1.67, 19.94], \"ry\": -1.77}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [287.25, 192.18, 370.56, 251.45], \"box_3d\": [1.44, 1.6, 3.79, -7.91, 2.03, 20.5], \"ry\": 1.37}, {\"category\": \"Car\", \"angle\": 1.73, \"box_2d\": [326.11, 188.28, 387.35, 232.24], \"box_3d\": [1.42, 1.51, 3.71, -9.14, 2.01, 26.15], \"ry\": 1.39}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [554.11, 181.02, 611.83, 223.82], \"box_3d\": [1.37, 1.51, 3.49, -1.04, 1.66, 25.15], \"ry\": -1.75}]\n```" + } + ] + }, + { + "id": 1266, + "data_source": "Mono3DRefer", + "scene_name": "007430", + "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\": [833.92, 195.6, 1241.0, 374.0], \"box_3d\": [1.49, 1.65, 4.06, 2.77, 1.68, 4.36], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": -0.97, \"box_2d\": [0.0, 211.75, 356.51, 374.0], \"box_3d\": [1.48, 1.58, 3.98, -3.09, 1.8, 4.33], \"ry\": -1.56}, {\"category\": \"Car\", \"angle\": -1.89, \"box_2d\": [735.6, 187.04, 957.45, 327.04], \"box_3d\": [1.44, 1.56, 3.76, 2.82, 1.66, 9.6], \"ry\": -1.61}, {\"category\": \"Car\", \"angle\": -1.79, \"box_2d\": [686.93, 180.01, 806.83, 266.74], \"box_3d\": [1.53, 1.56, 3.68, 2.61, 1.69, 14.76], \"ry\": -1.62}, {\"category\": \"Car\", \"angle\": -1.44, \"box_2d\": [442.69, 183.23, 531.84, 255.08], \"box_3d\": [1.48, 1.54, 4.05, -2.85, 1.75, 17.25], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": 1.65, \"box_2d\": [509.9, 178.27, 561.58, 219.64], \"box_3d\": [1.48, 1.67, 4.3, -2.86, 1.7, 28.2], \"ry\": 1.55}, {\"category\": \"Car\", \"angle\": -1.64, \"box_2d\": [640.87, 175.63, 675.51, 205.25], \"box_3d\": [1.46, 1.54, 3.62, 2.45, 1.62, 37.74], \"ry\": -1.57}, {\"category\": \"Car\", \"angle\": 1.61, \"box_2d\": [558.92, 174.18, 582.09, 195.11], \"box_3d\": [1.52, 1.57, 4.42, -3.0, 1.65, 55.04], \"ry\": 1.56}]\n```" + } + ] + }, + { + "id": 1267, + "data_source": "Mono3DRefer", + "scene_name": "007435", + "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\": [740.28, 181.43, 850.02, 258.37], \"box_3d\": [1.59, 1.59, 3.34, 4.15, 1.8, 16.8], \"ry\": -1.6}, {\"category\": \"Car\", \"angle\": -1.71, \"box_2d\": [718.78, 184.15, 790.61, 238.12], \"box_3d\": [1.47, 1.6, 3.7, 4.28, 1.84, 22.0], \"ry\": -1.52}, {\"category\": \"Car\", \"angle\": -1.7, \"box_2d\": [703.36, 182.58, 759.58, 225.27], \"box_3d\": [1.49, 1.64, 3.52, 4.51, 1.88, 27.41], \"ry\": -1.54}, {\"category\": \"Car\", \"angle\": 1.7, \"box_2d\": [567.89, 182.11, 594.89, 202.49], \"box_3d\": [1.45, 1.6, 3.2, -2.13, 2.16, 53.95], \"ry\": 1.66}, {\"category\": \"Car\", \"angle\": -2.19, \"box_2d\": [903.69, 157.83, 1241.0, 374.0], \"box_3d\": [1.77, 1.77, 5.1, 3.87, 1.71, 4.96], \"ry\": -1.55}, {\"category\": \"Car\", \"angle\": 1.77, \"box_2d\": [469.88, 186.68, 534.41, 230.15], \"box_3d\": [1.47, 1.66, 3.76, -3.99, 2.01, 27.02], \"ry\": 1.62}, {\"category\": \"Car\", \"angle\": -1.86, \"box_2d\": [790.57, 193.43, 987.08, 309.95], \"box_3d\": [1.41, 1.66, 3.86, 4.0, 1.77, 11.14], \"ry\": -1.53}]\n```" + } + ] + }, + { + "id": 1268, + "data_source": "Mono3DRefer", + "scene_name": "007438", + "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\": [553.48, 179.23, 598.53, 219.44], \"box_3d\": [1.41, 1.59, 4.47, -1.32, 1.67, 27.93], \"ry\": 1.54}]\n```" + } + ] + }, + { + "id": 1269, + "data_source": "Mono3DRefer", + "scene_name": "007469", + "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\": 1.62, \"box_2d\": [572.94, 158.83, 604.12, 184.67], \"box_3d\": [1.49, 1.68, 4.08, -0.73, 0.17, 43.92], \"ry\": 1.6}]\n```" + } + ] + }, + { + "id": 1270, + "data_source": "Mono3DRefer", + "scene_name": "007471", + "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\": [531.9, 174.39, 561.02, 201.7], \"box_3d\": [1.7, 1.72, 4.11, -4.16, 1.83, 47.48], \"ry\": 1.53}]\n```" + } + ] + }, + { + "id": 1271, + "data_source": "Mono3DRefer", + "scene_name": "007475", + "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\": -1.52, \"box_2d\": [674.88, 180.14, 737.11, 235.66], \"box_3d\": [1.6, 1.76, 3.84, 3.16, 1.45, 22.87], \"ry\": -1.38}, {\"category\": \"Car\", \"angle\": -1.11, \"box_2d\": [0.0, 196.03, 257.49, 339.49], \"box_3d\": [1.55, 1.63, 3.92, -6.67, 1.76, 10.28], \"ry\": -1.67}, {\"category\": \"Car\", \"angle\": -1.2, \"box_2d\": [155.47, 196.44, 271.13, 256.81], \"box_3d\": [1.51, 1.58, 4.12, -11.62, 1.9, 21.43], \"ry\": -1.69}, {\"category\": \"Car\", \"angle\": -1.3, \"box_2d\": [271.08, 193.61, 375.66, 255.15], \"box_3d\": [1.38, 1.56, 3.83, -7.46, 1.65, 19.13], \"ry\": -1.66}, {\"category\": \"Car\", \"angle\": -1.31, \"box_2d\": [763.24, 183.51, 798.35, 204.53], \"box_3d\": [1.39, 1.56, 3.45, 12.13, 1.29, 50.33], \"ry\": -1.08}]\n```" + } + ] + } +] \ No newline at end of file