diff --git "a/data/vsibench_val/qa_point_ind_obj_3dIOU_json_conversation.json" "b/data/vsibench_val/qa_point_ind_obj_3dIOU_json_conversation.json" new file mode 100644--- /dev/null +++ "b/data/vsibench_val/qa_point_ind_obj_3dIOU_json_conversation.json" @@ -0,0 +1,18354 @@ +[ + { + "id": 0, + "data_source": "Mono3DRefer", + "scene_name": "000000", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [763.76, 224.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.84, 1.47, 8.41], \"size_3d\": [1.89, 0.48, 1.2]}]\n```" + } + ] + }, + { + "id": 1, + "data_source": "Mono3DRefer", + "scene_name": "000003", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [667.39, 225.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.0, 1.75, 13.22], \"size_3d\": [1.57, 1.73, 4.15]}]\n```" + } + ] + }, + { + "id": 2, + "data_source": "Mono3DRefer", + "scene_name": "000011", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [906.93, 200.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.06, 1.43, 12.42], \"size_3d\": [1.9, 0.42, 1.04]}]\n```" + } + ] + }, + { + "id": 3, + "data_source": "Mono3DRefer", + "scene_name": "000011", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [903.91, 203.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.42, 1.5, 13.43], \"size_3d\": [1.87, 0.5, 0.9]}]\n```" + } + ] + }, + { + "id": 4, + "data_source": "Mono3DRefer", + "scene_name": "000011", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [477.12, 197.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.95, 1.83, 26.64], \"size_3d\": [1.86, 1.57, 3.83]}]\n```" + } + ] + }, + { + "id": 5, + "data_source": "Mono3DRefer", + "scene_name": "000011", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [657.40, 187.24]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.2, 1.57, 34.08], \"size_3d\": [1.78, 0.53, 0.95]}]\n```" + } + ] + }, + { + "id": 6, + "data_source": "Mono3DRefer", + "scene_name": "000011", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-273.89, 364.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.12, 1.85, 4.13], \"size_3d\": [1.5, 1.46, 3.7]}]\n```" + } + ] + }, + { + "id": 7, + "data_source": "Mono3DRefer", + "scene_name": "000011", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [254.05, 225.76]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.92, 1.94, 15.95], \"size_3d\": [1.54, 0.57, 0.41]}]\n```" + } + ] + }, + { + "id": 8, + "data_source": "Mono3DRefer", + "scene_name": "000012", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [675.90, 195.17]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.35, 2.56, 58.84], \"size_3d\": [1.48, 1.36, 3.51]}]\n```" + } + ] + }, + { + "id": 9, + "data_source": "Mono3DRefer", + "scene_name": "000012", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [465.74, 191.27]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-13.02, 2.91, 65.02], \"size_3d\": [2.5, 2.2, 5.78]}]\n```" + } + ] + }, + { + "id": 10, + "data_source": "Mono3DRefer", + "scene_name": "000014", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [641.28, 184.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.57, 1.72, 59.81], \"size_3d\": [1.44, 1.68, 4.39]}]\n```" + } + ] + }, + { + "id": 11, + "data_source": "Mono3DRefer", + "scene_name": "000027", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [199.65, 208.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.39, 1.99, 12.9], \"size_3d\": [2.72, 1.9, 5.78]}]\n```" + } + ] + }, + { + "id": 12, + "data_source": "Mono3DRefer", + "scene_name": "000027", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [598.85, 187.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.15, 2.16, 73.46], \"size_3d\": [1.26, 1.6, 3.56]}]\n```" + } + ] + }, + { + "id": 13, + "data_source": "Mono3DRefer", + "scene_name": "000034", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [196.23, 238.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.15, 2.06, 14.12], \"size_3d\": [1.56, 1.71, 4.5]}]\n```" + } + ] + }, + { + "id": 14, + "data_source": "Mono3DRefer", + "scene_name": "000034", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [495.09, 195.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.84, 2.28, 49.04], \"size_3d\": [1.44, 1.52, 3.5]}]\n```" + } + ] + }, + { + "id": 15, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [614.15, 196.83]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.12, 1.72, 28.28], \"size_3d\": [1.56, 1.65, 3.69]}]\n```" + } + ] + }, + { + "id": 16, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1088.21, 250.98]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.38, 1.54, 6.69], \"size_3d\": [1.63, 1.61, 3.96]}]\n```" + } + ] + }, + { + "id": 17, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [933.46, 230.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.61, 1.57, 10.4], \"size_3d\": [1.49, 1.63, 3.36]}]\n```" + } + ] + }, + { + "id": 18, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [850.87, 214.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.63, 1.52, 14.02], \"size_3d\": [1.41, 1.6, 4.09]}]\n```" + } + ] + }, + { + "id": 19, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [505.80, 190.35]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.38, 1.92, 50.9], \"size_3d\": [1.37, 1.64, 3.92]}]\n```" + } + ] + }, + { + "id": 20, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [360.96, 216.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.49, 1.83, 18.66], \"size_3d\": [1.38, 1.47, 3.62]}]\n```" + } + ] + }, + { + "id": 21, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [741.60, 195.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.47, 1.53, 24.75], \"size_3d\": [1.49, 1.59, 4.09]}]\n```" + } + ] + }, + { + "id": 22, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [704.04, 191.19]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.06, 1.5, 31.46], \"size_3d\": [1.4, 1.63, 4.05]}]\n```" + } + ] + }, + { + "id": 23, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [674.93, 182.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.12, 1.58, 46.13], \"size_3d\": [1.88, 1.82, 4.64]}]\n```" + } + ] + }, + { + "id": 24, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [454.28, 187.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-11.26, 1.88, 52.04], \"size_3d\": [1.67, 1.68, 4.49]}]\n```" + } + ] + }, + { + "id": 25, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [472.30, 187.19]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-11.21, 1.98, 58.61], \"size_3d\": [1.63, 1.58, 4.2]}]\n```" + } + ] + }, + { + "id": 26, + "data_source": "Mono3DRefer", + "scene_name": "000038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [425.33, 186.51]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.37, 1.87, 59.96], \"size_3d\": [1.47, 1.29, 2.95]}]\n```" + } + ] + }, + { + "id": 27, + "data_source": "Mono3DRefer", + "scene_name": "000044", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [166.07, 312.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.27, 1.73, 5.22], \"size_3d\": [1.44, 1.62, 3.67]}]\n```" + } + ] + }, + { + "id": 28, + "data_source": "Mono3DRefer", + "scene_name": "000044", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [451.60, 224.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.11, 1.75, 13.93], \"size_3d\": [1.51, 1.62, 3.68]}]\n```" + } + ] + }, + { + "id": 29, + "data_source": "Mono3DRefer", + "scene_name": "000063", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [919.84, 215.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.0, 1.87, 18.74], \"size_3d\": [1.52, 1.54, 4.5]}]\n```" + } + ] + }, + { + "id": 30, + "data_source": "Mono3DRefer", + "scene_name": "000063", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [403.08, 224.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.3, 1.61, 11.32], \"size_3d\": [1.59, 1.45, 3.15]}]\n```" + } + ] + }, + { + "id": 31, + "data_source": "Mono3DRefer", + "scene_name": "000063", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [430.64, 231.99]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.57, 1.67, 10.12], \"size_3d\": [1.68, 0.52, 0.55]}]\n```" + } + ] + }, + { + "id": 32, + "data_source": "Mono3DRefer", + "scene_name": "000063", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [864.93, 191.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [12.24, 1.93, 34.75], \"size_3d\": [2.07, 1.79, 4.39]}]\n```" + } + ] + }, + { + "id": 33, + "data_source": "Mono3DRefer", + "scene_name": "000065", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [606.69, 196.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.16, 1.32, 25.06], \"size_3d\": [1.61, 0.87, 1.03]}]\n```" + } + ] + }, + { + "id": 34, + "data_source": "Mono3DRefer", + "scene_name": "000065", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [377.68, 172.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-10.89, 1.4, 34.93], \"size_3d\": [3.68, 2.81, 6.69]}]\n```" + } + ] + }, + { + "id": 35, + "data_source": "Mono3DRefer", + "scene_name": "000065", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [480.08, 170.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.21, 1.24, 36.72], \"size_3d\": [3.65, 2.8, 3.14]}]\n```" + } + ] + }, + { + "id": 36, + "data_source": "Mono3DRefer", + "scene_name": "000065", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [624.90, 165.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.29, 0.95, 39.56], \"size_3d\": [3.68, 2.79, 12.71]}]\n```" + } + ] + }, + { + "id": 37, + "data_source": "Mono3DRefer", + "scene_name": "000065", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: person_sitting, the coordinate of center point in the image: [1059.51, 295.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.47, 1.47, 5.52], \"size_3d\": [1.18, 0.56, 0.85]}]\n```" + } + ] + }, + { + "id": 38, + "data_source": "Mono3DRefer", + "scene_name": "000065", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: person_sitting, the coordinate of center point in the image: [963.07, 272.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.39, 1.5, 6.83], \"size_3d\": [1.26, 0.64, 0.79]}]\n```" + } + ] + }, + { + "id": 39, + "data_source": "Mono3DRefer", + "scene_name": "000065", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: person_sitting, the coordinate of center point in the image: [792.79, 241.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.78, 1.51, 10.6], \"size_3d\": [1.24, 0.68, 0.72]}]\n```" + } + ] + }, + { + "id": 40, + "data_source": "Mono3DRefer", + "scene_name": "000065", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: person_sitting, the coordinate of center point in the image: [831.62, 240.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.35, 1.48, 10.59], \"size_3d\": [1.23, 0.57, 0.68]}]\n```" + } + ] + }, + { + "id": 41, + "data_source": "Mono3DRefer", + "scene_name": "000065", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: person_sitting, the coordinate of center point in the image: [766.86, 238.25]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.65, 1.5, 11.69], \"size_3d\": [1.15, 0.63, 0.75]}]\n```" + } + ] + }, + { + "id": 42, + "data_source": "Mono3DRefer", + "scene_name": "000067", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [687.97, 184.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.12, 1.44, 47.66], \"size_3d\": [1.32, 1.48, 4.44]}]\n```" + } + ] + }, + { + "id": 43, + "data_source": "Mono3DRefer", + "scene_name": "000067", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [292.03, 174.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-10.24, 2.07, 23.13], \"size_3d\": [4.02, 2.6, 16.79]}]\n```" + } + ] + }, + { + "id": 44, + "data_source": "Mono3DRefer", + "scene_name": "000067", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [725.44, 185.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.09, 1.38, 38.29], \"size_3d\": [1.42, 1.56, 4.16]}]\n```" + } + ] + }, + { + "id": 45, + "data_source": "Mono3DRefer", + "scene_name": "000067", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [524.06, 223.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.52, 1.59, 12.32], \"size_3d\": [1.45, 1.59, 3.44]}]\n```" + } + ] + }, + { + "id": 46, + "data_source": "Mono3DRefer", + "scene_name": "000067", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [254.98, 231.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.57, 1.67, 11.21], \"size_3d\": [1.51, 1.61, 4.31]}]\n```" + } + ] + }, + { + "id": 47, + "data_source": "Mono3DRefer", + "scene_name": "000067", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [498.01, 194.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.77, 2.02, 43.4], \"size_3d\": [1.44, 1.35, 3.23]}]\n```" + } + ] + }, + { + "id": 48, + "data_source": "Mono3DRefer", + "scene_name": "000067", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [619.36, 174.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.16, 1.9, 89.8], \"size_3d\": [3.46, 2.57, 14.66]}]\n```" + } + ] + }, + { + "id": 49, + "data_source": "Mono3DRefer", + "scene_name": "000072", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [47.60, 201.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-19.79, 1.78, 25.33], \"size_3d\": [1.57, 1.2, 5.24]}]\n```" + } + ] + }, + { + "id": 50, + "data_source": "Mono3DRefer", + "scene_name": "000072", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [392.62, 228.92]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.87, 1.69, 12.67], \"size_3d\": [1.41, 1.69, 4.36]}]\n```" + } + ] + }, + { + "id": 51, + "data_source": "Mono3DRefer", + "scene_name": "000072", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [610.66, 192.76]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.01, 1.71, 32.6], \"size_3d\": [1.62, 1.63, 4.5]}]\n```" + } + ] + }, + { + "id": 52, + "data_source": "Mono3DRefer", + "scene_name": "000073", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [275.18, 265.25]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.99, 1.6, 6.32], \"size_3d\": [1.58, 0.66, 0.53]}]\n```" + } + ] + }, + { + "id": 53, + "data_source": "Mono3DRefer", + "scene_name": "000073", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [216.94, 253.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.62, 1.58, 6.54], \"size_3d\": [1.7, 0.61, 0.51]}]\n```" + } + ] + }, + { + "id": 54, + "data_source": "Mono3DRefer", + "scene_name": "000073", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [770.15, 224.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.28, 1.63, 10.51], \"size_3d\": [1.75, 0.63, 0.51]}]\n```" + } + ] + }, + { + "id": 55, + "data_source": "Mono3DRefer", + "scene_name": "000073", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [466.58, 204.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.55, 1.6, 17.61], \"size_3d\": [1.64, 0.57, 2.0]}]\n```" + } + ] + }, + { + "id": 56, + "data_source": "Mono3DRefer", + "scene_name": "000073", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [506.28, 195.40]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.54, 1.66, 24.31], \"size_3d\": [1.8, 0.6, 1.85]}]\n```" + } + ] + }, + { + "id": 57, + "data_source": "Mono3DRefer", + "scene_name": "000073", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [552.72, 195.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.41, 1.71, 29.83], \"size_3d\": [1.53, 0.61, 0.73]}]\n```" + } + ] + }, + { + "id": 58, + "data_source": "Mono3DRefer", + "scene_name": "000073", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [541.19, 194.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.86, 1.68, 29.55], \"size_3d\": [1.61, 0.54, 0.87]}]\n```" + } + ] + }, + { + "id": 59, + "data_source": "Mono3DRefer", + "scene_name": "000077", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [596.63, 193.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.77, 1.86, 39.62], \"size_3d\": [1.5, 1.7, 3.77]}]\n```" + } + ] + }, + { + "id": 60, + "data_source": "Mono3DRefer", + "scene_name": "000092", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [672.02, 188.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.03, 1.82, 47.24], \"size_3d\": [1.54, 1.63, 3.67]}]\n```" + } + ] + }, + { + "id": 61, + "data_source": "Mono3DRefer", + "scene_name": "000092", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [411.74, 212.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.52, 2.06, 23.56], \"size_3d\": [1.56, 1.59, 3.69]}]\n```" + } + ] + }, + { + "id": 62, + "data_source": "Mono3DRefer", + "scene_name": "000092", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [461.01, 200.63]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.86, 2.05, 28.17], \"size_3d\": [1.93, 1.59, 4.01]}]\n```" + } + ] + }, + { + "id": 63, + "data_source": "Mono3DRefer", + "scene_name": "000092", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [708.90, 191.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.32, 1.62, 31.81], \"size_3d\": [1.58, 1.67, 3.84]}]\n```" + } + ] + }, + { + "id": 64, + "data_source": "Mono3DRefer", + "scene_name": "000092", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [709.60, 185.20]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.0, 1.65, 36.49], \"size_3d\": [2.05, 1.5, 3.83]}]\n```" + } + ] + }, + { + "id": 65, + "data_source": "Mono3DRefer", + "scene_name": "000092", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1262.43, 173.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [19.65, 0.71, 21.78], \"size_3d\": [1.39, 1.51, 3.49]}]\n```" + } + ] + }, + { + "id": 66, + "data_source": "Mono3DRefer", + "scene_name": "000094", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [699.54, 217.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.33, 1.9, 19.16], \"size_3d\": [1.41, 1.58, 4.36]}]\n```" + } + ] + }, + { + "id": 67, + "data_source": "Mono3DRefer", + "scene_name": "000105", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [1082.75, 252.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.28, 1.55, 5.09], \"size_3d\": [1.98, 0.5, 1.72]}]\n```" + } + ] + }, + { + "id": 68, + "data_source": "Mono3DRefer", + "scene_name": "000105", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [543.69, 186.30]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.96, 1.96, 64.63], \"size_3d\": [1.51, 1.81, 4.07]}]\n```" + } + ] + }, + { + "id": 69, + "data_source": "Mono3DRefer", + "scene_name": "000120", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [265.01, 272.16]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.91, 1.82, 8.06], \"size_3d\": [1.42, 1.67, 3.8]}]\n```" + } + ] + }, + { + "id": 70, + "data_source": "Mono3DRefer", + "scene_name": "000120", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-590.69, 472.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.09, 1.78, 2.42], \"size_3d\": [1.55, 1.71, 4.5]}]\n```" + } + ] + }, + { + "id": 71, + "data_source": "Mono3DRefer", + "scene_name": "000120", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [425.26, 226.29]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.68, 1.82, 14.17], \"size_3d\": [1.54, 1.63, 3.59]}]\n```" + } + ] + }, + { + "id": 72, + "data_source": "Mono3DRefer", + "scene_name": "000120", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [497.31, 212.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.24, 1.84, 20.44], \"size_3d\": [1.42, 1.46, 3.63]}]\n```" + } + ] + }, + { + "id": 73, + "data_source": "Mono3DRefer", + "scene_name": "000120", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [520.83, 207.29]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.19, 1.93, 25.45], \"size_3d\": [1.43, 1.66, 4.19]}]\n```" + } + ] + }, + { + "id": 74, + "data_source": "Mono3DRefer", + "scene_name": "000120", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [695.44, 201.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.91, 1.78, 24.95], \"size_3d\": [1.58, 1.71, 3.75]}]\n```" + } + ] + }, + { + "id": 75, + "data_source": "Mono3DRefer", + "scene_name": "000120", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [880.50, 196.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.55, 1.33, 17.6], \"size_3d\": [1.49, 1.57, 4.26]}]\n```" + } + ] + }, + { + "id": 76, + "data_source": "Mono3DRefer", + "scene_name": "000120", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [713.93, 199.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.17, 1.82, 29.24], \"size_3d\": [1.51, 1.58, 3.31]}]\n```" + } + ] + }, + { + "id": 77, + "data_source": "Mono3DRefer", + "scene_name": "000120", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [750.66, 193.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.4, 1.73, 33.03], \"size_3d\": [1.61, 1.6, 3.11]}]\n```" + } + ] + }, + { + "id": 78, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [606.03, 187.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.31, 1.81, 51.09], \"size_3d\": [1.54, 1.63, 3.67]}]\n```" + } + ] + }, + { + "id": 79, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [535.21, 198.16]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.07, 1.75, 29.21], \"size_3d\": [1.45, 1.59, 3.59]}]\n```" + } + ] + }, + { + "id": 80, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [826.59, 237.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.0, 1.65, 10.17], \"size_3d\": [1.48, 1.47, 3.7]}]\n```" + } + ] + }, + { + "id": 81, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [747.76, 216.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.76, 1.72, 14.72], \"size_3d\": [1.64, 1.64, 3.89]}]\n```" + } + ] + }, + { + "id": 82, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [716.10, 206.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.69, 1.72, 18.62], \"size_3d\": [1.69, 1.39, 2.65]}]\n```" + } + ] + }, + { + "id": 83, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [678.49, 197.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.64, 1.72, 28.26], \"size_3d\": [1.5, 1.59, 3.79]}]\n```" + } + ] + }, + { + "id": 84, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [651.14, 189.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.45, 1.72, 43.55], \"size_3d\": [1.49, 1.57, 4.07]}]\n```" + } + ] + }, + { + "id": 85, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [667.27, 193.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.61, 1.75, 33.38], \"size_3d\": [1.57, 1.59, 3.75]}]\n```" + } + ] + }, + { + "id": 86, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [424.54, 194.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.41, 2.22, 48.16], \"size_3d\": [1.52, 1.51, 3.94]}]\n```" + } + ] + }, + { + "id": 87, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [341.49, 195.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-17.92, 2.28, 48.07], \"size_3d\": [1.58, 1.56, 4.24]}]\n```" + } + ] + }, + { + "id": 88, + "data_source": "Mono3DRefer", + "scene_name": "000149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [778.48, 195.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.41, 1.5, 19.09], \"size_3d\": [1.82, 0.69, 0.68]}]\n```" + } + ] + }, + { + "id": 89, + "data_source": "Mono3DRefer", + "scene_name": "000133", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [502.30, 192.99]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.78, 2.13, 51.93], \"size_3d\": [1.36, 1.68, 4.49]}]\n```" + } + ] + }, + { + "id": 90, + "data_source": "Mono3DRefer", + "scene_name": "000158", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1112.00, 197.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [21.09, 1.83, 30.37], \"size_3d\": [1.62, 1.72, 4.35]}]\n```" + } + ] + }, + { + "id": 91, + "data_source": "Mono3DRefer", + "scene_name": "000164", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [58.46, 182.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-26.97, 1.35, 35.23], \"size_3d\": [1.72, 1.76, 3.14]}]\n```" + } + ] + }, + { + "id": 92, + "data_source": "Mono3DRefer", + "scene_name": "000164", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [586.34, 200.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.75, 1.64, 21.44], \"size_3d\": [1.62, 1.63, 4.5]}]\n```" + } + ] + }, + { + "id": 93, + "data_source": "Mono3DRefer", + "scene_name": "000164", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [180.87, 181.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-27.38, 1.39, 45.98], \"size_3d\": [1.7, 1.64, 2.85]}]\n```" + } + ] + }, + { + "id": 94, + "data_source": "Mono3DRefer", + "scene_name": "000164", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [770.47, 192.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.41, 1.96, 42.46], \"size_3d\": [1.64, 0.34, 1.58]}]\n```" + } + ] + }, + { + "id": 95, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [913.56, 266.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.76, 1.68, 6.69], \"size_3d\": [1.62, 1.48, 3.36]}]\n```" + } + ] + }, + { + "id": 96, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-200.13, 300.27]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.19, 1.74, 5.46], \"size_3d\": [1.55, 1.7, 4.09]}]\n```" + } + ] + }, + { + "id": 97, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [71.04, 253.02]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.07, 1.69, 8.05], \"size_3d\": [1.59, 1.63, 3.75]}]\n```" + } + ] + }, + { + "id": 98, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [149.13, 229.09]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.73, 1.79, 10.45], \"size_3d\": [1.95, 1.67, 3.35]}]\n```" + } + ] + }, + { + "id": 99, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [234.76, 226.45]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.84, 1.68, 13.05], \"size_3d\": [1.42, 1.55, 3.35]}]\n```" + } + ] + }, + { + "id": 100, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [345.98, 220.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.84, 1.76, 15.82], \"size_3d\": [1.43, 1.49, 3.56]}]\n```" + } + ] + }, + { + "id": 101, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [389.48, 213.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.56, 1.77, 18.03], \"size_3d\": [1.53, 1.6, 3.62]}]\n```" + } + ] + }, + { + "id": 102, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [401.42, 209.76]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.98, 1.88, 20.52], \"size_3d\": [1.66, 1.57, 3.11]}]\n```" + } + ] + }, + { + "id": 103, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [417.19, 201.59]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.15, 1.74, 22.84], \"size_3d\": [1.66, 1.71, 4.34]}]\n```" + } + ] + }, + { + "id": 104, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [449.35, 197.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.22, 1.72, 27.74], \"size_3d\": [1.51, 1.66, 3.73]}]\n```" + } + ] + }, + { + "id": 105, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [482.71, 190.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.63, 1.97, 37.37], \"size_3d\": [2.08, 1.8, 4.37]}]\n```" + } + ] + }, + { + "id": 106, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [578.17, 187.90]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.49, 1.96, 55.85], \"size_3d\": [1.59, 0.58, 1.69]}]\n```" + } + ] + }, + { + "id": 107, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [709.69, 208.93]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.77, 1.71, 20.39], \"size_3d\": [1.38, 1.49, 3.38]}]\n```" + } + ] + }, + { + "id": 108, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [790.27, 196.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.33, 1.67, 25.51], \"size_3d\": [1.67, 1.6, 3.94]}]\n```" + } + ] + }, + { + "id": 109, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [720.49, 188.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.23, 1.76, 40.91], \"size_3d\": [1.77, 1.69, 3.82]}]\n```" + } + ] + }, + { + "id": 110, + "data_source": "Mono3DRefer", + "scene_name": "000169", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [645.69, 188.59]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.66, 1.89, 54.32], \"size_3d\": [1.41, 1.56, 4.08]}]\n```" + } + ] + }, + { + "id": 111, + "data_source": "Mono3DRefer", + "scene_name": "000171", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [608.33, 214.98]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.09, 1.81, 17.72], \"size_3d\": [1.55, 1.63, 3.32]}]\n```" + } + ] + }, + { + "id": 112, + "data_source": "Mono3DRefer", + "scene_name": "000171", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [155.90, 234.19]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.63, 2.4, 19.99], \"size_3d\": [1.4, 1.75, 4.75]}]\n```" + } + ] + }, + { + "id": 113, + "data_source": "Mono3DRefer", + "scene_name": "000171", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [68.10, 232.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-19.04, 2.82, 25.29], \"size_3d\": [1.46, 1.81, 4.16]}]\n```" + } + ] + }, + { + "id": 114, + "data_source": "Mono3DRefer", + "scene_name": "000171", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [335.81, 210.41]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.51, 2.93, 40.72], \"size_3d\": [1.62, 1.85, 3.57]}]\n```" + } + ] + }, + { + "id": 115, + "data_source": "Mono3DRefer", + "scene_name": "000182", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [270.23, 273.41]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.72, 1.78, 7.78], \"size_3d\": [1.39, 1.48, 3.76]}]\n```" + } + ] + }, + { + "id": 116, + "data_source": "Mono3DRefer", + "scene_name": "000182", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [414.30, 219.01]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.76, 1.78, 13.67], \"size_3d\": [1.81, 1.66, 4.05]}]\n```" + } + ] + }, + { + "id": 117, + "data_source": "Mono3DRefer", + "scene_name": "000182", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [531.01, 199.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.41, 1.86, 30.77], \"size_3d\": [1.46, 1.75, 4.23]}]\n```" + } + ] + }, + { + "id": 118, + "data_source": "Mono3DRefer", + "scene_name": "000194", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [536.28, 206.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.2, 1.7, 21.07], \"size_3d\": [1.45, 1.62, 3.83]}]\n```" + } + ] + }, + { + "id": 119, + "data_source": "Mono3DRefer", + "scene_name": "000194", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [603.19, 189.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.39, 1.58, 37.37], \"size_3d\": [1.43, 1.66, 3.67]}]\n```" + } + ] + }, + { + "id": 120, + "data_source": "Mono3DRefer", + "scene_name": "000194", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [826.04, 185.16]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [10.31, 1.46, 34.56], \"size_3d\": [1.74, 0.47, 0.55]}]\n```" + } + ] + }, + { + "id": 121, + "data_source": "Mono3DRefer", + "scene_name": "000197", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [268.58, 241.03]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.11, 1.92, 12.8], \"size_3d\": [1.42, 1.54, 3.5]}]\n```" + } + ] + }, + { + "id": 122, + "data_source": "Mono3DRefer", + "scene_name": "000197", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [742.20, 209.64]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.95, 1.59, 16.37], \"size_3d\": [1.51, 1.75, 3.78]}]\n```" + } + ] + }, + { + "id": 123, + "data_source": "Mono3DRefer", + "scene_name": "000197", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [377.68, 220.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.99, 1.91, 18.45], \"size_3d\": [1.36, 1.51, 4.02]}]\n```" + } + ] + }, + { + "id": 124, + "data_source": "Mono3DRefer", + "scene_name": "000197", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [450.82, 202.59]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.93, 1.97, 26.68], \"size_3d\": [1.74, 1.65, 4.11]}]\n```" + } + ] + }, + { + "id": 125, + "data_source": "Mono3DRefer", + "scene_name": "000197", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [478.50, 199.56]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.12, 2.04, 33.36], \"size_3d\": [1.61, 1.64, 4.0]}]\n```" + } + ] + }, + { + "id": 126, + "data_source": "Mono3DRefer", + "scene_name": "000197", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [646.26, 184.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.28, 1.87, 65.65], \"size_3d\": [1.55, 1.66, 4.15]}]\n```" + } + ] + }, + { + "id": 127, + "data_source": "Mono3DRefer", + "scene_name": "000198", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [277.01, 235.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.26, 1.69, 11.28], \"size_3d\": [1.41, 1.72, 4.41]}]\n```" + } + ] + }, + { + "id": 128, + "data_source": "Mono3DRefer", + "scene_name": "000198", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [391.73, 205.03]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.15, 1.71, 20.17], \"size_3d\": [1.62, 1.75, 4.3]}]\n```" + } + ] + }, + { + "id": 129, + "data_source": "Mono3DRefer", + "scene_name": "000198", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [1580.58, 224.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.27, 1.65, 6.93], \"size_3d\": [2.31, 1.95, 5.32]}]\n```" + } + ] + }, + { + "id": 130, + "data_source": "Mono3DRefer", + "scene_name": "000204", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [613.71, 191.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.2, 2.0, 45.16], \"size_3d\": [1.66, 1.73, 3.05]}]\n```" + } + ] + }, + { + "id": 131, + "data_source": "Mono3DRefer", + "scene_name": "000204", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: bus, the coordinate of center point in the image: [655.71, 179.95]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.65, 2.15, 73.63], \"size_3d\": [2.85, 2.63, 12.34]}]\n```" + } + ] + }, + { + "id": 132, + "data_source": "Mono3DRefer", + "scene_name": "000204", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [245.07, 214.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.69, 2.15, 25.0], \"size_3d\": [1.44, 1.63, 3.43]}]\n```" + } + ] + }, + { + "id": 133, + "data_source": "Mono3DRefer", + "scene_name": "000204", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [476.50, 188.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-13.31, 2.55, 71.85], \"size_3d\": [1.97, 1.93, 4.47]}]\n```" + } + ] + }, + { + "id": 134, + "data_source": "Mono3DRefer", + "scene_name": "000216", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [589.70, 200.30]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.91, 2.0, 30.88], \"size_3d\": [1.65, 1.67, 3.64]}]\n```" + } + ] + }, + { + "id": 135, + "data_source": "Mono3DRefer", + "scene_name": "000216", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [191.90, 229.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.31, 1.85, 14.25], \"size_3d\": [1.45, 1.62, 3.77]}]\n```" + } + ] + }, + { + "id": 136, + "data_source": "Mono3DRefer", + "scene_name": "000216", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [347.18, 213.69]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.57, 2.09, 23.4], \"size_3d\": [1.53, 1.46, 4.18]}]\n```" + } + ] + }, + { + "id": 137, + "data_source": "Mono3DRefer", + "scene_name": "000216", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [421.24, 201.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.89, 2.15, 33.83], \"size_3d\": [1.59, 1.57, 3.39]}]\n```" + } + ] + }, + { + "id": 138, + "data_source": "Mono3DRefer", + "scene_name": "000216", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [462.42, 198.90]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.18, 2.29, 44.72], \"size_3d\": [1.35, 1.63, 4.1]}]\n```" + } + ] + }, + { + "id": 139, + "data_source": "Mono3DRefer", + "scene_name": "000220", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [546.94, 187.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.96, 1.85, 56.46], \"size_3d\": [1.45, 1.59, 4.28]}]\n```" + } + ] + }, + { + "id": 140, + "data_source": "Mono3DRefer", + "scene_name": "000220", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [728.37, 185.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.03, 1.68, 55.2], \"size_3d\": [1.43, 1.59, 4.21]}]\n```" + } + ] + }, + { + "id": 141, + "data_source": "Mono3DRefer", + "scene_name": "000231", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [586.35, 204.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.82, 1.67, 23.63], \"size_3d\": [1.26, 1.6, 3.56]}]\n```" + } + ] + }, + { + "id": 142, + "data_source": "Mono3DRefer", + "scene_name": "000231", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [526.90, 196.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.9, 1.8, 33.52], \"size_3d\": [1.37, 1.63, 3.57]}]\n```" + } + ] + }, + { + "id": 143, + "data_source": "Mono3DRefer", + "scene_name": "000231", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [193.28, 207.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-14.0, 1.97, 24.16], \"size_3d\": [1.64, 1.93, 3.52]}]\n```" + } + ] + }, + { + "id": 144, + "data_source": "Mono3DRefer", + "scene_name": "000231", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [334.32, 196.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.8, 2.08, 41.26], \"size_3d\": [1.42, 1.58, 3.11]}]\n```" + } + ] + }, + { + "id": 145, + "data_source": "Mono3DRefer", + "scene_name": "000231", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [583.99, 180.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.83, 1.68, 49.95], \"size_3d\": [2.26, 1.64, 5.2]}]\n```" + } + ] + }, + { + "id": 146, + "data_source": "Mono3DRefer", + "scene_name": "000232", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [655.30, 171.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.52, 1.56, 72.25], \"size_3d\": [3.33, 2.37, 23.29]}]\n```" + } + ] + }, + { + "id": 147, + "data_source": "Mono3DRefer", + "scene_name": "000232", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [281.15, 216.45]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.51, 2.06, 20.76], \"size_3d\": [1.61, 1.67, 4.56]}]\n```" + } + ] + }, + { + "id": 148, + "data_source": "Mono3DRefer", + "scene_name": "000232", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [957.11, 183.44]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [10.76, 1.22, 22.46], \"size_3d\": [1.78, 0.44, 1.7]}]\n```" + } + ] + }, + { + "id": 149, + "data_source": "Mono3DRefer", + "scene_name": "000233", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [549.61, 195.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.66, 1.73, 31.29], \"size_3d\": [1.53, 1.59, 3.64]}]\n```" + } + ] + }, + { + "id": 150, + "data_source": "Mono3DRefer", + "scene_name": "000233", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [449.79, 186.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.87, 1.67, 44.3], \"size_3d\": [1.63, 1.6, 3.73]}]\n```" + } + ] + }, + { + "id": 151, + "data_source": "Mono3DRefer", + "scene_name": "000235", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [602.80, 188.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.5, 1.85, 46.96], \"size_3d\": [1.65, 1.67, 3.64]}]\n```" + } + ] + }, + { + "id": 152, + "data_source": "Mono3DRefer", + "scene_name": "000235", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [173.55, 236.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.89, 2.0, 14.61], \"size_3d\": [1.44, 1.62, 4.02]}]\n```" + } + ] + }, + { + "id": 153, + "data_source": "Mono3DRefer", + "scene_name": "000235", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [429.33, 196.97]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.7, 2.13, 38.59], \"size_3d\": [1.68, 1.67, 3.87]}]\n```" + } + ] + }, + { + "id": 154, + "data_source": "Mono3DRefer", + "scene_name": "000235", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [563.12, 187.68]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.96, 2.05, 60.59], \"size_3d\": [1.61, 1.51, 4.5]}]\n```" + } + ] + }, + { + "id": 155, + "data_source": "Mono3DRefer", + "scene_name": "000246", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [590.00, 193.99]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.9, 1.23, 35.13], \"size_3d\": [1.6, 1.76, 3.84]}]\n```" + } + ] + }, + { + "id": 156, + "data_source": "Mono3DRefer", + "scene_name": "000246", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [48.18, 324.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.78, 1.62, 4.78], \"size_3d\": [1.39, 1.5, 3.4]}]\n```" + } + ] + }, + { + "id": 157, + "data_source": "Mono3DRefer", + "scene_name": "000246", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-66.56, 255.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.48, 1.6, 8.98], \"size_3d\": [1.45, 1.54, 3.59]}]\n```" + } + ] + }, + { + "id": 158, + "data_source": "Mono3DRefer", + "scene_name": "000246", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [290.08, 194.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.68, 1.51, 17.27], \"size_3d\": [2.58, 1.91, 6.53]}]\n```" + } + ] + }, + { + "id": 159, + "data_source": "Mono3DRefer", + "scene_name": "000246", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [19.87, 223.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.49, 1.54, 15.21], \"size_3d\": [1.45, 1.8, 3.73]}]\n```" + } + ] + }, + { + "id": 160, + "data_source": "Mono3DRefer", + "scene_name": "000246", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [369.26, 204.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.24, 1.42, 24.71], \"size_3d\": [1.48, 1.64, 3.82]}]\n```" + } + ] + }, + { + "id": 161, + "data_source": "Mono3DRefer", + "scene_name": "000246", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [546.66, 172.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.27, 0.93, 61.87], \"size_3d\": [4.05, 2.5, 16.44]}]\n```" + } + ] + }, + { + "id": 162, + "data_source": "Mono3DRefer", + "scene_name": "000255", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [349.17, 253.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.5, 1.81, 9.53], \"size_3d\": [1.5, 1.7, 4.21]}]\n```" + } + ] + }, + { + "id": 163, + "data_source": "Mono3DRefer", + "scene_name": "000255", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [555.10, 194.56]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.32, 2.04, 43.19], \"size_3d\": [1.48, 1.87, 4.42]}]\n```" + } + ] + }, + { + "id": 164, + "data_source": "Mono3DRefer", + "scene_name": "000260", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [592.64, 182.40]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.3, 1.33, 52.89], \"size_3d\": [1.26, 1.6, 3.56]}]\n```" + } + ] + }, + { + "id": 165, + "data_source": "Mono3DRefer", + "scene_name": "000260", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [565.03, 181.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.99, 1.41, 63.68], \"size_3d\": [1.37, 1.63, 3.57]}]\n```" + } + ] + }, + { + "id": 166, + "data_source": "Mono3DRefer", + "scene_name": "000261", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [656.04, 171.01]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.72, 1.65, 43.15], \"size_3d\": [3.52, 2.89, 10.81]}]\n```" + } + ] + }, + { + "id": 167, + "data_source": "Mono3DRefer", + "scene_name": "000261", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [307.46, 192.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-18.63, 2.0, 44.35], \"size_3d\": [1.58, 1.64, 3.88]}]\n```" + } + ] + }, + { + "id": 168, + "data_source": "Mono3DRefer", + "scene_name": "000261", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [341.67, 190.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-18.58, 1.93, 49.88], \"size_3d\": [1.43, 1.81, 4.16]}]\n```" + } + ] + }, + { + "id": 169, + "data_source": "Mono3DRefer", + "scene_name": "000261", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [382.45, 186.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-18.15, 1.83, 57.47], \"size_3d\": [1.47, 1.67, 4.31]}]\n```" + } + ] + }, + { + "id": 170, + "data_source": "Mono3DRefer", + "scene_name": "000269", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-9.52, 238.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.87, 1.83, 9.1], \"size_3d\": [2.01, 1.89, 4.91]}]\n```" + } + ] + }, + { + "id": 171, + "data_source": "Mono3DRefer", + "scene_name": "000269", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [88.66, 215.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-18.11, 2.31, 25.0], \"size_3d\": [1.65, 1.67, 3.81]}]\n```" + } + ] + }, + { + "id": 172, + "data_source": "Mono3DRefer", + "scene_name": "000269", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [303.95, 210.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-10.76, 2.07, 25.26], \"size_3d\": [1.52, 1.51, 3.1]}]\n```" + } + ] + }, + { + "id": 173, + "data_source": "Mono3DRefer", + "scene_name": "000269", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [272.27, 208.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-13.58, 2.19, 28.92], \"size_3d\": [1.53, 1.58, 3.53]}]\n```" + } + ] + }, + { + "id": 174, + "data_source": "Mono3DRefer", + "scene_name": "000269", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [97.47, 192.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-23.44, 2.19, 32.94], \"size_3d\": [2.6, 2.06, 5.42]}]\n```" + } + ] + }, + { + "id": 175, + "data_source": "Mono3DRefer", + "scene_name": "000269", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [239.91, 202.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.62, 2.36, 40.13], \"size_3d\": [1.46, 1.6, 3.71]}]\n```" + } + ] + }, + { + "id": 176, + "data_source": "Mono3DRefer", + "scene_name": "000269", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [346.39, 215.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.33, 1.96, 19.93], \"size_3d\": [1.57, 1.72, 3.52]}]\n```" + } + ] + }, + { + "id": 177, + "data_source": "Mono3DRefer", + "scene_name": "000282", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [279.88, 279.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.36, 1.77, 7.22], \"size_3d\": [1.41, 1.59, 4.47]}]\n```" + } + ] + }, + { + "id": 178, + "data_source": "Mono3DRefer", + "scene_name": "000282", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [609.42, 190.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.07, 2.09, 52.46], \"size_3d\": [1.64, 1.69, 3.3]}]\n```" + } + ] + }, + { + "id": 179, + "data_source": "Mono3DRefer", + "scene_name": "000299", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [603.38, 196.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.59, 2.69, 61.86], \"size_3d\": [1.41, 1.59, 4.47]}]\n```" + } + ] + }, + { + "id": 180, + "data_source": "Mono3DRefer", + "scene_name": "000318", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [280.26, 264.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.16, 1.82, 6.79], \"size_3d\": [1.91, 1.66, 4.22]}]\n```" + } + ] + }, + { + "id": 181, + "data_source": "Mono3DRefer", + "scene_name": "000318", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [449.18, 229.95]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.91, 1.93, 12.82], \"size_3d\": [1.83, 1.69, 4.28]}]\n```" + } + ] + }, + { + "id": 182, + "data_source": "Mono3DRefer", + "scene_name": "000318", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [568.47, 210.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.68, 2.22, 28.45], \"size_3d\": [1.51, 1.63, 4.03]}]\n```" + } + ] + }, + { + "id": 183, + "data_source": "Mono3DRefer", + "scene_name": "000318", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [606.23, 205.63]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.22, 2.36, 34.66], \"size_3d\": [1.57, 1.44, 3.6]}]\n```" + } + ] + }, + { + "id": 184, + "data_source": "Mono3DRefer", + "scene_name": "000318", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [650.00, 203.27]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.18, 2.42, 39.96], \"size_3d\": [1.47, 1.51, 3.5]}]\n```" + } + ] + }, + { + "id": 185, + "data_source": "Mono3DRefer", + "scene_name": "000325", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [391.10, 226.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.03, 1.71, 13.11], \"size_3d\": [1.47, 1.43, 3.11]}]\n```" + } + ] + }, + { + "id": 186, + "data_source": "Mono3DRefer", + "scene_name": "000325", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [49.72, 202.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.67, 1.96, 26.56], \"size_3d\": [1.71, 1.44, 4.06]}]\n```" + } + ] + }, + { + "id": 187, + "data_source": "Mono3DRefer", + "scene_name": "000325", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [156.09, 199.17]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.99, 1.98, 33.3], \"size_3d\": [1.53, 1.67, 3.88]}]\n```" + } + ] + }, + { + "id": 188, + "data_source": "Mono3DRefer", + "scene_name": "000325", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [232.24, 198.03]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.21, 2.11, 38.53], \"size_3d\": [1.53, 1.47, 4.05]}]\n```" + } + ] + }, + { + "id": 189, + "data_source": "Mono3DRefer", + "scene_name": "000325", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [531.09, 195.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.95, 1.84, 35.77], \"size_3d\": [1.41, 1.48, 4.93]}]\n```" + } + ] + }, + { + "id": 190, + "data_source": "Mono3DRefer", + "scene_name": "000325", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [564.08, 186.13]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.58, 2.11, 71.71], \"size_3d\": [1.58, 1.6, 4.11]}]\n```" + } + ] + }, + { + "id": 191, + "data_source": "Mono3DRefer", + "scene_name": "000325", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [606.06, 199.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.19, 1.81, 26.83], \"size_3d\": [1.62, 1.63, 4.5]}]\n```" + } + ] + }, + { + "id": 192, + "data_source": "Mono3DRefer", + "scene_name": "000325", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [1009.41, 216.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [11.28, 2.05, 20.46], \"size_3d\": [1.64, 0.34, 1.58]}]\n```" + } + ] + }, + { + "id": 193, + "data_source": "Mono3DRefer", + "scene_name": "000331", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [614.36, 200.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.11, 1.82, 25.54], \"size_3d\": [1.71, 0.63, 2.12]}]\n```" + } + ] + }, + { + "id": 194, + "data_source": "Mono3DRefer", + "scene_name": "000331", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [132.76, 257.09]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.02, 1.94, 10.53], \"size_3d\": [1.42, 1.62, 3.5]}]\n```" + } + ] + }, + { + "id": 195, + "data_source": "Mono3DRefer", + "scene_name": "000331", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [383.76, 213.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.08, 1.97, 22.43], \"size_3d\": [1.41, 1.54, 3.6]}]\n```" + } + ] + }, + { + "id": 196, + "data_source": "Mono3DRefer", + "scene_name": "000333", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-47.19, 375.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.16, 1.68, 3.36], \"size_3d\": [1.5, 1.78, 3.69]}]\n```" + } + ] + }, + { + "id": 197, + "data_source": "Mono3DRefer", + "scene_name": "000333", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [1010.17, 181.98]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [10.47, 0.9, 18.33], \"size_3d\": [1.72, 0.78, 1.71]}]\n```" + } + ] + }, + { + "id": 198, + "data_source": "Mono3DRefer", + "scene_name": "000333", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [546.80, 187.75]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.42, 1.02, 29.12], \"size_3d\": [1.44, 1.64, 3.68]}]\n```" + } + ] + }, + { + "id": 199, + "data_source": "Mono3DRefer", + "scene_name": "000333", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [18.13, 224.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.57, 1.75, 15.09], \"size_3d\": [1.63, 1.78, 4.54]}]\n```" + } + ] + }, + { + "id": 200, + "data_source": "Mono3DRefer", + "scene_name": "000338", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [980.21, 256.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.65, 1.51, 6.97], \"size_3d\": [1.52, 1.64, 4.41]}]\n```" + } + ] + }, + { + "id": 201, + "data_source": "Mono3DRefer", + "scene_name": "000338", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [144.28, 205.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.27, 1.59, 18.77], \"size_3d\": [1.85, 1.68, 4.11]}]\n```" + } + ] + }, + { + "id": 202, + "data_source": "Mono3DRefer", + "scene_name": "000338", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [474.82, 186.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.08, 1.18, 49.33], \"size_3d\": [1.49, 1.58, 3.84]}]\n```" + } + ] + }, + { + "id": 203, + "data_source": "Mono3DRefer", + "scene_name": "000338", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [731.67, 202.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.36, 1.37, 18.95], \"size_3d\": [1.54, 1.57, 3.52]}]\n```" + } + ] + }, + { + "id": 204, + "data_source": "Mono3DRefer", + "scene_name": "000338", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [713.92, 198.51]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.65, 1.36, 23.88], \"size_3d\": [1.5, 1.63, 3.57]}]\n```" + } + ] + }, + { + "id": 205, + "data_source": "Mono3DRefer", + "scene_name": "000338", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [690.86, 194.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.61, 1.31, 29.9], \"size_3d\": [1.47, 1.59, 3.64]}]\n```" + } + ] + }, + { + "id": 206, + "data_source": "Mono3DRefer", + "scene_name": "000338", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [682.15, 191.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.81, 1.27, 35.05], \"size_3d\": [1.49, 1.74, 4.09]}]\n```" + } + ] + }, + { + "id": 207, + "data_source": "Mono3DRefer", + "scene_name": "000338", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [664.84, 186.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.93, 1.11, 46.43], \"size_3d\": [1.44, 1.58, 3.28]}]\n```" + } + ] + }, + { + "id": 208, + "data_source": "Mono3DRefer", + "scene_name": "000340", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [114.45, 255.93]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.15, 1.91, 10.33], \"size_3d\": [1.44, 1.58, 3.72]}]\n```" + } + ] + }, + { + "id": 209, + "data_source": "Mono3DRefer", + "scene_name": "000340", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [284.56, 218.35]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.88, 2.91, 35.12], \"size_3d\": [1.39, 1.52, 3.56]}]\n```" + } + ] + }, + { + "id": 210, + "data_source": "Mono3DRefer", + "scene_name": "000340", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [221.00, 235.01]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.06, 2.17, 16.71], \"size_3d\": [1.46, 1.59, 3.35]}]\n```" + } + ] + }, + { + "id": 211, + "data_source": "Mono3DRefer", + "scene_name": "000340", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [1158.11, 140.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [25.16, -0.3, 33.17], \"size_3d\": [2.37, 1.92, 4.43]}]\n```" + } + ] + }, + { + "id": 212, + "data_source": "Mono3DRefer", + "scene_name": "000347", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: bus, the coordinate of center point in the image: [606.25, 182.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.36, 2.3, 65.46], \"size_3d\": [2.85, 2.63, 12.34]}]\n```" + } + ] + }, + { + "id": 213, + "data_source": "Mono3DRefer", + "scene_name": "000347", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [123.16, 216.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-21.04, 2.76, 31.12], \"size_3d\": [1.79, 0.6, 1.21]}]\n```" + } + ] + }, + { + "id": 214, + "data_source": "Mono3DRefer", + "scene_name": "000347", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [303.35, 210.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-13.65, 2.48, 32.02], \"size_3d\": [1.63, 1.78, 4.13]}]\n```" + } + ] + }, + { + "id": 215, + "data_source": "Mono3DRefer", + "scene_name": "000347", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [736.72, 192.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.29, 1.6, 24.68], \"size_3d\": [1.86, 0.6, 2.02]}]\n```" + } + ] + }, + { + "id": 216, + "data_source": "Mono3DRefer", + "scene_name": "000351", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [597.98, 196.24]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.41, 1.22, 27.32], \"size_3d\": [1.6, 1.76, 3.84]}]\n```" + } + ] + }, + { + "id": 217, + "data_source": "Mono3DRefer", + "scene_name": "000351", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [198.82, 226.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.43, 1.58, 14.73], \"size_3d\": [1.47, 1.54, 3.51]}]\n```" + } + ] + }, + { + "id": 218, + "data_source": "Mono3DRefer", + "scene_name": "000351", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [396.40, 212.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.7, 1.5, 15.82], \"size_3d\": [1.78, 1.81, 4.32]}]\n```" + } + ] + }, + { + "id": 219, + "data_source": "Mono3DRefer", + "scene_name": "000351", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [380.66, 201.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.56, 1.33, 26.97], \"size_3d\": [1.45, 1.61, 4.3]}]\n```" + } + ] + }, + { + "id": 220, + "data_source": "Mono3DRefer", + "scene_name": "000351", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [481.11, 199.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.07, 1.31, 28.56], \"size_3d\": [1.45, 1.67, 3.88]}]\n```" + } + ] + }, + { + "id": 221, + "data_source": "Mono3DRefer", + "scene_name": "000351", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [519.29, 181.97]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.96, 1.08, 40.07], \"size_3d\": [2.52, 2.02, 6.17]}]\n```" + } + ] + }, + { + "id": 222, + "data_source": "Mono3DRefer", + "scene_name": "000351", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [541.12, 188.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.78, 1.05, 51.35], \"size_3d\": [1.63, 1.67, 3.92]}]\n```" + } + ] + }, + { + "id": 223, + "data_source": "Mono3DRefer", + "scene_name": "000351", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [287.88, 201.17]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-13.05, 1.44, 29.24], \"size_3d\": [1.58, 1.64, 3.96]}]\n```" + } + ] + }, + { + "id": 224, + "data_source": "Mono3DRefer", + "scene_name": "000358", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [653.96, 171.68]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.61, 1.69, 43.38], \"size_3d\": [3.52, 2.89, 10.81]}]\n```" + } + ] + }, + { + "id": 225, + "data_source": "Mono3DRefer", + "scene_name": "000358", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [317.11, 192.27]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-18.58, 2.02, 45.69], \"size_3d\": [1.58, 1.64, 3.88]}]\n```" + } + ] + }, + { + "id": 226, + "data_source": "Mono3DRefer", + "scene_name": "000358", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [349.38, 190.25]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-18.53, 1.95, 51.22], \"size_3d\": [1.43, 1.81, 4.16]}]\n```" + } + ] + }, + { + "id": 227, + "data_source": "Mono3DRefer", + "scene_name": "000358", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [388.21, 186.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-18.09, 1.85, 58.77], \"size_3d\": [1.47, 1.67, 4.31]}]\n```" + } + ] + }, + { + "id": 228, + "data_source": "Mono3DRefer", + "scene_name": "000359", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [609.56, 187.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.06, 1.77, 47.24], \"size_3d\": [1.66, 1.73, 3.05]}]\n```" + } + ] + }, + { + "id": 229, + "data_source": "Mono3DRefer", + "scene_name": "000359", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: bus, the coordinate of center point in the image: [642.43, 176.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.31, 1.77, 73.96], \"size_3d\": [2.85, 2.63, 12.34]}]\n```" + } + ] + }, + { + "id": 230, + "data_source": "Mono3DRefer", + "scene_name": "000359", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [340.87, 196.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-13.37, 2.15, 35.74], \"size_3d\": [1.97, 1.93, 4.47]}]\n```" + } + ] + }, + { + "id": 231, + "data_source": "Mono3DRefer", + "scene_name": "000402", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [452.83, 220.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.79, 1.85, 17.17], \"size_3d\": [1.43, 1.75, 4.47]}]\n```" + } + ] + }, + { + "id": 232, + "data_source": "Mono3DRefer", + "scene_name": "000402", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [493.18, 197.90]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.17, 1.75, 25.48], \"size_3d\": [1.73, 1.67, 3.94]}]\n```" + } + ] + }, + { + "id": 233, + "data_source": "Mono3DRefer", + "scene_name": "000402", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [543.07, 186.20]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.97, 1.48, 42.43], \"size_3d\": [1.39, 1.48, 3.76]}]\n```" + } + ] + }, + { + "id": 234, + "data_source": "Mono3DRefer", + "scene_name": "000402", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [551.82, 179.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.97, 1.38, 48.86], \"size_3d\": [1.81, 1.66, 4.05]}]\n```" + } + ] + }, + { + "id": 235, + "data_source": "Mono3DRefer", + "scene_name": "000411", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [685.04, 183.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.36, 1.7, 61.37], \"size_3d\": [1.62, 1.72, 4.35]}]\n```" + } + ] + }, + { + "id": 236, + "data_source": "Mono3DRefer", + "scene_name": "000411", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1183.24, 307.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.87, 1.63, 4.94], \"size_3d\": [1.42, 1.45, 3.2]}]\n```" + } + ] + }, + { + "id": 237, + "data_source": "Mono3DRefer", + "scene_name": "000412", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [989.97, 265.13]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.01, 1.55, 5.82], \"size_3d\": [1.61, 1.62, 3.78]}]\n```" + } + ] + }, + { + "id": 238, + "data_source": "Mono3DRefer", + "scene_name": "000412", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [780.45, 192.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.41, 1.46, 18.87], \"size_3d\": [1.9, 0.42, 1.04]}]\n```" + } + ] + }, + { + "id": 239, + "data_source": "Mono3DRefer", + "scene_name": "000412", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [789.36, 192.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.85, 1.47, 19.7], \"size_3d\": [1.87, 0.5, 0.9]}]\n```" + } + ] + }, + { + "id": 240, + "data_source": "Mono3DRefer", + "scene_name": "000412", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [515.36, 188.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.29, 1.65, 32.4], \"size_3d\": [1.86, 1.57, 3.83]}]\n```" + } + ] + }, + { + "id": 241, + "data_source": "Mono3DRefer", + "scene_name": "000412", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [651.77, 182.93]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.2, 1.43, 38.63], \"size_3d\": [1.78, 0.53, 0.95]}]\n```" + } + ] + }, + { + "id": 242, + "data_source": "Mono3DRefer", + "scene_name": "000412", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [248.15, 249.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.99, 1.8, 9.84], \"size_3d\": [1.5, 1.46, 3.7]}]\n```" + } + ] + }, + { + "id": 243, + "data_source": "Mono3DRefer", + "scene_name": "000412", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [376.65, 204.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.44, 1.78, 22.86], \"size_3d\": [1.54, 0.57, 0.41]}]\n```" + } + ] + }, + { + "id": 244, + "data_source": "Mono3DRefer", + "scene_name": "000416", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [653.82, 187.76]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.77, 2.03, 62.43], \"size_3d\": [1.48, 1.36, 3.51]}]\n```" + } + ] + }, + { + "id": 245, + "data_source": "Mono3DRefer", + "scene_name": "000416", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [427.31, 188.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.95, 2.34, 51.03], \"size_3d\": [2.5, 2.2, 5.78]}]\n```" + } + ] + }, + { + "id": 246, + "data_source": "Mono3DRefer", + "scene_name": "000420", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [147.67, 297.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.48, 1.7, 5.34], \"size_3d\": [1.55, 1.64, 3.7]}]\n```" + } + ] + }, + { + "id": 247, + "data_source": "Mono3DRefer", + "scene_name": "000420", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [548.20, 203.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.43, 1.51, 16.11], \"size_3d\": [1.63, 1.81, 4.54]}]\n```" + } + ] + }, + { + "id": 248, + "data_source": "Mono3DRefer", + "scene_name": "000420", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [863.34, 214.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.19, 1.43, 12.08], \"size_3d\": [1.47, 1.54, 3.02]}]\n```" + } + ] + }, + { + "id": 249, + "data_source": "Mono3DRefer", + "scene_name": "000420", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [412.29, 211.68]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.58, 1.6, 16.53], \"size_3d\": [1.42, 1.58, 4.08]}]\n```" + } + ] + }, + { + "id": 250, + "data_source": "Mono3DRefer", + "scene_name": "000420", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [924.35, 194.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.31, 1.26, 16.89], \"size_3d\": [1.5, 1.52, 4.12]}]\n```" + } + ] + }, + { + "id": 251, + "data_source": "Mono3DRefer", + "scene_name": "000422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [142.79, 269.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.96, 1.65, 6.12], \"size_3d\": [1.8, 0.83, 0.92]}]\n```" + } + ] + }, + { + "id": 252, + "data_source": "Mono3DRefer", + "scene_name": "000422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [75.92, 272.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.53, 1.64, 6.12], \"size_3d\": [1.72, 0.69, 0.88]}]\n```" + } + ] + }, + { + "id": 253, + "data_source": "Mono3DRefer", + "scene_name": "000422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [273.25, 238.01]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.77, 1.6, 10.34], \"size_3d\": [1.57, 1.67, 4.14]}]\n```" + } + ] + }, + { + "id": 254, + "data_source": "Mono3DRefer", + "scene_name": "000422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [402.26, 215.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.18, 1.43, 11.31], \"size_3d\": [1.8, 0.79, 1.86]}]\n```" + } + ] + }, + { + "id": 255, + "data_source": "Mono3DRefer", + "scene_name": "000422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [652.15, 190.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.2, 1.13, 17.48], \"size_3d\": [1.81, 1.06, 0.73]}]\n```" + } + ] + }, + { + "id": 256, + "data_source": "Mono3DRefer", + "scene_name": "000422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [483.88, 190.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.36, 1.19, 26.51], \"size_3d\": [1.73, 0.84, 0.86]}]\n```" + } + ] + }, + { + "id": 257, + "data_source": "Mono3DRefer", + "scene_name": "000422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [500.38, 188.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.78, 1.18, 26.72], \"size_3d\": [1.81, 0.9, 0.95]}]\n```" + } + ] + }, + { + "id": 258, + "data_source": "Mono3DRefer", + "scene_name": "000422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [364.16, 191.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.93, 1.21, 23.93], \"size_3d\": [1.78, 0.92, 1.01]}]\n```" + } + ] + }, + { + "id": 259, + "data_source": "Mono3DRefer", + "scene_name": "000451", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [435.05, 195.63]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.95, 2.39, 32.62], \"size_3d\": [2.72, 1.9, 5.78]}]\n```" + } + ] + }, + { + "id": 260, + "data_source": "Mono3DRefer", + "scene_name": "000451", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [586.16, 194.76]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.41, 2.83, 72.46], \"size_3d\": [1.26, 1.6, 3.56]}]\n```" + } + ] + }, + { + "id": 261, + "data_source": "Mono3DRefer", + "scene_name": "000454", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: bus, the coordinate of center point in the image: [604.72, 177.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.57, 1.93, 75.99], \"size_3d\": [2.85, 2.63, 12.34]}]\n```" + } + ] + }, + { + "id": 262, + "data_source": "Mono3DRefer", + "scene_name": "000454", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [916.52, 194.76]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [13.81, 1.7, 32.6], \"size_3d\": [1.42, 1.58, 3.48]}]\n```" + } + ] + }, + { + "id": 263, + "data_source": "Mono3DRefer", + "scene_name": "000454", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [281.15, 200.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.83, 2.46, 45.63], \"size_3d\": [1.41, 1.85, 4.7]}]\n```" + } + ] + }, + { + "id": 264, + "data_source": "Mono3DRefer", + "scene_name": "000464", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [-225.56, 265.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.82, 1.77, 4.11], \"size_3d\": [2.48, 2.02, 6.78]}]\n```" + } + ] + }, + { + "id": 265, + "data_source": "Mono3DRefer", + "scene_name": "000464", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [358.18, 245.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.36, 1.93, 12.34], \"size_3d\": [1.37, 1.78, 4.65]}]\n```" + } + ] + }, + { + "id": 266, + "data_source": "Mono3DRefer", + "scene_name": "000464", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [462.08, 230.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.92, 2.02, 13.99], \"size_3d\": [1.79, 0.66, 0.94]}]\n```" + } + ] + }, + { + "id": 267, + "data_source": "Mono3DRefer", + "scene_name": "000464", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [510.78, 224.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.43, 2.12, 17.31], \"size_3d\": [1.77, 0.55, 0.79]}]\n```" + } + ] + }, + { + "id": 268, + "data_source": "Mono3DRefer", + "scene_name": "000464", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [524.09, 221.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.19, 2.15, 17.98], \"size_3d\": [1.86, 0.64, 0.84]}]\n```" + } + ] + }, + { + "id": 269, + "data_source": "Mono3DRefer", + "scene_name": "000464", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [687.75, 212.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.68, 2.26, 25.28], \"size_3d\": [1.75, 0.65, 1.79]}]\n```" + } + ] + }, + { + "id": 270, + "data_source": "Mono3DRefer", + "scene_name": "000464", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1216.03, 197.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [20.3, 1.58, 24.22], \"size_3d\": [1.48, 1.51, 4.35]}]\n```" + } + ] + }, + { + "id": 271, + "data_source": "Mono3DRefer", + "scene_name": "000477", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [121.95, 227.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.31, 1.47, 9.16], \"size_3d\": [1.72, 0.59, 1.2]}]\n```" + } + ] + }, + { + "id": 272, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [610.83, 201.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.02, 1.59, 22.68], \"size_3d\": [1.36, 1.69, 3.38]}]\n```" + } + ] + }, + { + "id": 273, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [329.38, 220.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.87, 1.72, 14.96], \"size_3d\": [1.45, 1.61, 3.96]}]\n```" + } + ] + }, + { + "id": 274, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [389.74, 215.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.52, 1.73, 17.92], \"size_3d\": [1.36, 1.57, 3.73]}]\n```" + } + ] + }, + { + "id": 275, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [435.92, 200.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.25, 1.73, 25.72], \"size_3d\": [1.48, 1.57, 3.48]}]\n```" + } + ] + }, + { + "id": 276, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [534.92, 205.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.49, 1.69, 23.49], \"size_3d\": [1.25, 1.74, 3.66]}]\n```" + } + ] + }, + { + "id": 277, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [799.58, 199.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.98, 1.64, 11.54], \"size_3d\": [2.42, 2.03, 5.49]}]\n```" + } + ] + }, + { + "id": 278, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [716.27, 207.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.78, 1.66, 19.2], \"size_3d\": [1.46, 1.72, 3.95]}]\n```" + } + ] + }, + { + "id": 279, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [693.25, 203.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.73, 1.69, 24.05], \"size_3d\": [1.32, 1.7, 4.04]}]\n```" + } + ] + }, + { + "id": 280, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [679.94, 193.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.86, 1.63, 29.93], \"size_3d\": [1.56, 1.48, 3.36]}]\n```" + } + ] + }, + { + "id": 281, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [646.18, 188.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.38, 1.73, 48.07], \"size_3d\": [1.38, 1.55, 3.6]}]\n```" + } + ] + }, + { + "id": 282, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [152.45, 228.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.33, 1.81, 14.63], \"size_3d\": [1.35, 1.59, 3.41]}]\n```" + } + ] + }, + { + "id": 283, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [267.72, 201.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.29, 1.82, 19.48], \"size_3d\": [2.1, 1.96, 4.63]}]\n```" + } + ] + }, + { + "id": 284, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [609.78, 193.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.05, 1.71, 32.93], \"size_3d\": [1.52, 1.67, 3.61]}]\n```" + } + ] + }, + { + "id": 285, + "data_source": "Mono3DRefer", + "scene_name": "000540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [111.83, 208.27]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-14.81, 1.71, 21.38], \"size_3d\": [1.32, 1.43, 3.25]}]\n```" + } + ] + }, + { + "id": 286, + "data_source": "Mono3DRefer", + "scene_name": "000577", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [453.44, 237.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.46, 1.78, 11.09], \"size_3d\": [1.56, 1.55, 3.64]}]\n```" + } + ] + }, + { + "id": 287, + "data_source": "Mono3DRefer", + "scene_name": "000577", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [529.97, 211.76]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.89, 1.85, 16.59], \"size_3d\": [1.91, 1.66, 4.22]}]\n```" + } + ] + }, + { + "id": 288, + "data_source": "Mono3DRefer", + "scene_name": "000577", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [578.56, 204.63]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.03, 1.91, 22.58], \"size_3d\": [1.83, 1.69, 4.28]}]\n```" + } + ] + }, + { + "id": 289, + "data_source": "Mono3DRefer", + "scene_name": "000577", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [645.26, 199.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.82, 2.14, 37.99], \"size_3d\": [1.51, 1.63, 4.03]}]\n```" + } + ] + }, + { + "id": 290, + "data_source": "Mono3DRefer", + "scene_name": "000619", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [515.66, 190.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.6, 1.36, 27.2], \"size_3d\": [1.39, 1.52, 3.56]}]\n```" + } + ] + }, + { + "id": 291, + "data_source": "Mono3DRefer", + "scene_name": "000619", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [279.36, 262.27]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.53, 1.67, 7.58], \"size_3d\": [1.46, 1.59, 3.35]}]\n```" + } + ] + }, + { + "id": 292, + "data_source": "Mono3DRefer", + "scene_name": "000619", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [276.88, 196.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.37, 1.44, 20.19], \"size_3d\": [1.53, 1.54, 4.35]}]\n```" + } + ] + }, + { + "id": 293, + "data_source": "Mono3DRefer", + "scene_name": "000619", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [494.79, 176.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.02, 1.04, 50.04], \"size_3d\": [1.52, 1.41, 4.22]}]\n```" + } + ] + }, + { + "id": 294, + "data_source": "Mono3DRefer", + "scene_name": "000641", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [605.21, 192.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.23, 1.64, 28.21], \"size_3d\": [1.77, 1.75, 4.67]}]\n```" + } + ] + }, + { + "id": 295, + "data_source": "Mono3DRefer", + "scene_name": "000641", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [237.65, 240.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-11.87, 3.01, 22.91], \"size_3d\": [1.72, 1.39, 3.07]}]\n```" + } + ] + }, + { + "id": 296, + "data_source": "Mono3DRefer", + "scene_name": "000641", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [106.84, 251.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-10.91, 2.42, 15.57], \"size_3d\": [1.46, 1.52, 2.75]}]\n```" + } + ] + }, + { + "id": 297, + "data_source": "Mono3DRefer", + "scene_name": "000641", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1115.94, 196.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.22, 1.18, 13.22], \"size_3d\": [1.48, 1.63, 3.98]}]\n```" + } + ] + }, + { + "id": 298, + "data_source": "Mono3DRefer", + "scene_name": "000641", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [968.29, 192.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.12, 1.19, 16.45], \"size_3d\": [1.47, 1.52, 4.43]}]\n```" + } + ] + }, + { + "id": 299, + "data_source": "Mono3DRefer", + "scene_name": "000641", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [641.64, 176.56]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.67, 1.0, 38.9], \"size_3d\": [1.6, 1.68, 3.94]}]\n```" + } + ] + }, + { + "id": 300, + "data_source": "Mono3DRefer", + "scene_name": "000641", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [677.76, 171.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.31, 0.62, 67.39], \"size_3d\": [1.42, 1.66, 4.11]}]\n```" + } + ] + }, + { + "id": 301, + "data_source": "Mono3DRefer", + "scene_name": "000666", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [293.97, 216.68]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.25, 1.79, 14.15], \"size_3d\": [1.86, 1.69, 3.69]}]\n```" + } + ] + }, + { + "id": 302, + "data_source": "Mono3DRefer", + "scene_name": "000666", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [363.83, 206.24]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.46, 1.71, 18.79], \"size_3d\": [1.68, 1.69, 4.07]}]\n```" + } + ] + }, + { + "id": 303, + "data_source": "Mono3DRefer", + "scene_name": "000666", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [857.47, 175.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [11.08, 1.14, 32.42], \"size_3d\": [2.04, 1.99, 4.82]}]\n```" + } + ] + }, + { + "id": 304, + "data_source": "Mono3DRefer", + "scene_name": "000666", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [910.93, 177.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [13.8, 0.98, 33.18], \"size_3d\": [1.49, 1.56, 3.88]}]\n```" + } + ] + }, + { + "id": 305, + "data_source": "Mono3DRefer", + "scene_name": "000666", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [414.94, 200.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.48, 1.66, 23.8], \"size_3d\": [1.48, 1.56, 4.12]}]\n```" + } + ] + }, + { + "id": 306, + "data_source": "Mono3DRefer", + "scene_name": "000666", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [427.01, 197.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.75, 1.66, 26.44], \"size_3d\": [1.51, 1.59, 3.5]}]\n```" + } + ] + }, + { + "id": 307, + "data_source": "Mono3DRefer", + "scene_name": "000666", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [446.48, 191.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.59, 1.63, 28.89], \"size_3d\": [1.74, 1.75, 4.57]}]\n```" + } + ] + }, + { + "id": 308, + "data_source": "Mono3DRefer", + "scene_name": "000676", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [539.39, 194.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.25, 1.2, 25.79], \"size_3d\": [1.47, 1.59, 4.03]}]\n```" + } + ] + }, + { + "id": 309, + "data_source": "Mono3DRefer", + "scene_name": "000676", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [562.95, 186.51]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.96, 0.96, 36.46], \"size_3d\": [1.41, 1.54, 3.36]}]\n```" + } + ] + }, + { + "id": 310, + "data_source": "Mono3DRefer", + "scene_name": "000676", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [624.17, 184.29]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.21, 0.91, 38.35], \"size_3d\": [1.52, 1.67, 4.38]}]\n```" + } + ] + }, + { + "id": 311, + "data_source": "Mono3DRefer", + "scene_name": "000676", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [589.32, 180.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.81, 0.7, 48.67], \"size_3d\": [1.56, 1.59, 3.65]}]\n```" + } + ] + }, + { + "id": 312, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [469.12, 186.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.91, 1.75, 40.33], \"size_3d\": [2.0, 1.82, 4.43]}]\n```" + } + ] + }, + { + "id": 313, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [537.04, 214.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.42, 1.66, 13.53], \"size_3d\": [1.74, 0.82, 1.79]}]\n```" + } + ] + }, + { + "id": 314, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1040.05, 267.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.45, 1.53, 5.88], \"size_3d\": [1.51, 1.69, 4.04]}]\n```" + } + ] + }, + { + "id": 315, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [737.35, 233.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.71, 1.57, 9.99], \"size_3d\": [1.46, 1.58, 3.93]}]\n```" + } + ] + }, + { + "id": 316, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [192.39, 245.09]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.93, 1.94, 11.88], \"size_3d\": [1.5, 1.68, 4.03]}]\n```" + } + ] + }, + { + "id": 317, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [276.88, 218.59]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.95, 1.97, 17.11], \"size_3d\": [1.77, 1.71, 4.31]}]\n```" + } + ] + }, + { + "id": 318, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [624.97, 206.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.3, 1.59, 16.85], \"size_3d\": [1.6, 1.7, 3.56]}]\n```" + } + ] + }, + { + "id": 319, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [581.09, 201.30]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.92, 1.62, 21.8], \"size_3d\": [1.52, 1.73, 3.89]}]\n```" + } + ] + }, + { + "id": 320, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [320.19, 216.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.9, 2.06, 22.04], \"size_3d\": [1.44, 1.6, 3.79]}]\n```" + } + ] + }, + { + "id": 321, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [741.98, 195.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.18, 1.39, 17.65], \"size_3d\": [1.69, 0.8, 0.88]}]\n```" + } + ] + }, + { + "id": 322, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [340.90, 205.45]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-10.36, 1.96, 27.66], \"size_3d\": [1.42, 1.51, 3.71]}]\n```" + } + ] + }, + { + "id": 323, + "data_source": "Mono3DRefer", + "scene_name": "000685", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [552.90, 196.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.17, 1.56, 26.87], \"size_3d\": [1.37, 1.51, 3.49]}]\n```" + } + ] + }, + { + "id": 324, + "data_source": "Mono3DRefer", + "scene_name": "000690", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-235.69, 446.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.39, 1.84, 2.84], \"size_3d\": [1.52, 1.73, 4.28]}]\n```" + } + ] + }, + { + "id": 325, + "data_source": "Mono3DRefer", + "scene_name": "000690", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [515.56, 207.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.33, 1.94, 25.1], \"size_3d\": [1.44, 1.7, 3.65]}]\n```" + } + ] + }, + { + "id": 326, + "data_source": "Mono3DRefer", + "scene_name": "000694", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [107.09, 289.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.91, 1.59, 4.09], \"size_3d\": [1.86, 1.63, 4.2]}]\n```" + } + ] + }, + { + "id": 327, + "data_source": "Mono3DRefer", + "scene_name": "000694", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [886.90, 253.50]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.12, 1.61, 8.27], \"size_3d\": [1.37, 1.61, 4.26]}]\n```" + } + ] + }, + { + "id": 328, + "data_source": "Mono3DRefer", + "scene_name": "000694", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [500.04, 191.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.94, 1.42, 25.56], \"size_3d\": [1.51, 1.55, 3.92]}]\n```" + } + ] + }, + { + "id": 329, + "data_source": "Mono3DRefer", + "scene_name": "000694", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [360.26, 231.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.35, 1.53, 9.52], \"size_3d\": [1.51, 1.55, 3.71]}]\n```" + } + ] + }, + { + "id": 330, + "data_source": "Mono3DRefer", + "scene_name": "000694", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [779.80, 222.40]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.1, 1.67, 13.39], \"size_3d\": [1.5, 1.53, 3.37]}]\n```" + } + ] + }, + { + "id": 331, + "data_source": "Mono3DRefer", + "scene_name": "000694", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [716.42, 202.17]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.91, 1.55, 20.05], \"size_3d\": [1.47, 1.56, 3.16]}]\n```" + } + ] + }, + { + "id": 332, + "data_source": "Mono3DRefer", + "scene_name": "000694", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [680.79, 194.92]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.36, 1.49, 24.51], \"size_3d\": [1.48, 1.56, 3.62]}]\n```" + } + ] + }, + { + "id": 333, + "data_source": "Mono3DRefer", + "scene_name": "000694", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [660.84, 190.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.13, 1.45, 30.81], \"size_3d\": [1.39, 1.54, 4.6]}]\n```" + } + ] + }, + { + "id": 334, + "data_source": "Mono3DRefer", + "scene_name": "000748", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [593.06, 198.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.82, 2.03, 33.24], \"size_3d\": [1.66, 1.73, 3.05]}]\n```" + } + ] + }, + { + "id": 335, + "data_source": "Mono3DRefer", + "scene_name": "000748", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [528.60, 177.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.23, 2.15, 54.99], \"size_3d\": [3.62, 2.6, 15.21]}]\n```" + } + ] + }, + { + "id": 336, + "data_source": "Mono3DRefer", + "scene_name": "000748", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [197.90, 221.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.75, 2.24, 22.24], \"size_3d\": [1.47, 1.71, 4.36]}]\n```" + } + ] + }, + { + "id": 337, + "data_source": "Mono3DRefer", + "scene_name": "000748", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [368.81, 201.97]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-13.04, 2.33, 38.9], \"size_3d\": [1.52, 1.71, 3.89]}]\n```" + } + ] + }, + { + "id": 338, + "data_source": "Mono3DRefer", + "scene_name": "000767", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: bus, the coordinate of center point in the image: [642.44, 175.93]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.13, 1.63, 48.05], \"size_3d\": [2.85, 2.63, 12.34]}]\n```" + } + ] + }, + { + "id": 339, + "data_source": "Mono3DRefer", + "scene_name": "000767", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [330.36, 198.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-16.58, 2.19, 42.69], \"size_3d\": [1.39, 1.82, 4.11]}]\n```" + } + ] + }, + { + "id": 340, + "data_source": "Mono3DRefer", + "scene_name": "000774", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: motorcyclist, the coordinate of center point in the image: [265.86, 284.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.4, 1.6, 4.91], \"size_3d\": [1.68, 0.7, 1.57]}]\n```" + } + ] + }, + { + "id": 341, + "data_source": "Mono3DRefer", + "scene_name": "000774", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [647.18, 162.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.24, 0.1, 44.11], \"size_3d\": [1.5, 1.62, 4.19]}]\n```" + } + ] + }, + { + "id": 342, + "data_source": "Mono3DRefer", + "scene_name": "000777", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [592.13, 189.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.06, 1.67, 41.39], \"size_3d\": [1.43, 1.55, 3.91]}]\n```" + } + ] + }, + { + "id": 343, + "data_source": "Mono3DRefer", + "scene_name": "000777", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [687.58, 187.90]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.32, 1.6, 40.5], \"size_3d\": [1.51, 1.65, 4.21]}]\n```" + } + ] + }, + { + "id": 344, + "data_source": "Mono3DRefer", + "scene_name": "000864", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [590.69, 201.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.05, 2.21, 37.86], \"size_3d\": [1.43, 1.55, 3.91]}]\n```" + } + ] + }, + { + "id": 345, + "data_source": "Mono3DRefer", + "scene_name": "000864", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [905.72, 224.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.15, 1.66, 12.69], \"size_3d\": [1.51, 1.65, 4.21]}]\n```" + } + ] + }, + { + "id": 346, + "data_source": "Mono3DRefer", + "scene_name": "000864", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [861.69, 217.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.27, 1.69, 15.25], \"size_3d\": [1.48, 1.49, 4.16]}]\n```" + } + ] + }, + { + "id": 347, + "data_source": "Mono3DRefer", + "scene_name": "000864", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [782.10, 206.50]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.4, 1.82, 22.83], \"size_3d\": [1.51, 1.69, 4.42]}]\n```" + } + ] + }, + { + "id": 348, + "data_source": "Mono3DRefer", + "scene_name": "000864", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [829.06, 212.30]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.28, 1.74, 17.55], \"size_3d\": [1.56, 1.5, 3.8]}]\n```" + } + ] + }, + { + "id": 349, + "data_source": "Mono3DRefer", + "scene_name": "000889", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [606.80, 183.30]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.04, 1.06, 26.14], \"size_3d\": [1.91, 1.65, 4.4]}]\n```" + } + ] + }, + { + "id": 350, + "data_source": "Mono3DRefer", + "scene_name": "000889", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [272.75, 250.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.24, 1.58, 6.78], \"size_3d\": [1.81, 0.58, 0.84]}]\n```" + } + ] + }, + { + "id": 351, + "data_source": "Mono3DRefer", + "scene_name": "000889", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [201.72, 256.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.62, 1.56, 6.25], \"size_3d\": [1.77, 0.64, 0.88]}]\n```" + } + ] + }, + { + "id": 352, + "data_source": "Mono3DRefer", + "scene_name": "000889", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [370.77, 199.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.18, 1.32, 18.54], \"size_3d\": [1.66, 0.68, 0.84]}]\n```" + } + ] + }, + { + "id": 353, + "data_source": "Mono3DRefer", + "scene_name": "000889", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [523.85, 178.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.97, 0.73, 43.26], \"size_3d\": [1.7, 0.55, 1.7]}]\n```" + } + ] + }, + { + "id": 354, + "data_source": "Mono3DRefer", + "scene_name": "000892", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [417.37, 244.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.29, 1.6, 8.37], \"size_3d\": [1.53, 0.61, 0.73]}]\n```" + } + ] + }, + { + "id": 355, + "data_source": "Mono3DRefer", + "scene_name": "000892", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [372.04, 241.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.77, 1.59, 8.23], \"size_3d\": [1.61, 0.54, 0.87]}]\n```" + } + ] + }, + { + "id": 356, + "data_source": "Mono3DRefer", + "scene_name": "000892", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [750.74, 208.01]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.77, 1.65, 14.46], \"size_3d\": [1.89, 0.61, 0.92]}]\n```" + } + ] + }, + { + "id": 357, + "data_source": "Mono3DRefer", + "scene_name": "000892", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [792.80, 205.90]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.57, 1.61, 14.29], \"size_3d\": [1.91, 0.69, 0.77]}]\n```" + } + ] + }, + { + "id": 358, + "data_source": "Mono3DRefer", + "scene_name": "000892", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [897.20, 208.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.77, 1.55, 17.13], \"size_3d\": [1.41, 0.5, 1.32]}]\n```" + } + ] + }, + { + "id": 359, + "data_source": "Mono3DRefer", + "scene_name": "000892", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [935.42, 200.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.31, 1.5, 18.53], \"size_3d\": [1.58, 0.54, 1.7]}]\n```" + } + ] + }, + { + "id": 360, + "data_source": "Mono3DRefer", + "scene_name": "000892", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [343.90, 214.01]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.77, 1.53, 12.79], \"size_3d\": [1.6, 0.3, 0.72]}]\n```" + } + ] + }, + { + "id": 361, + "data_source": "Mono3DRefer", + "scene_name": "000914", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [791.42, 196.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.76, 1.4, 19.12], \"size_3d\": [1.56, 1.65, 3.69]}]\n```" + } + ] + }, + { + "id": 362, + "data_source": "Mono3DRefer", + "scene_name": "000914", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-152.50, 267.95]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.91, 1.76, 7.43], \"size_3d\": [1.56, 1.62, 4.19]}]\n```" + } + ] + }, + { + "id": 363, + "data_source": "Mono3DRefer", + "scene_name": "000914", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [446.98, 207.68]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.54, 1.67, 19.88], \"size_3d\": [1.42, 1.67, 4.53]}]\n```" + } + ] + }, + { + "id": 364, + "data_source": "Mono3DRefer", + "scene_name": "000914", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1027.02, 173.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [20.29, 0.82, 35.17], \"size_3d\": [1.54, 1.63, 3.74]}]\n```" + } + ] + }, + { + "id": 365, + "data_source": "Mono3DRefer", + "scene_name": "000917", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [374.06, 195.83]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.36, 1.36, 19.3], \"size_3d\": [1.49, 1.67, 4.5]}]\n```" + } + ] + }, + { + "id": 366, + "data_source": "Mono3DRefer", + "scene_name": "000917", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1004.74, 200.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.56, 1.36, 13.91], \"size_3d\": [1.65, 1.67, 3.64]}]\n```" + } + ] + }, + { + "id": 367, + "data_source": "Mono3DRefer", + "scene_name": "000917", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [960.99, 171.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [11.47, 0.97, 23.67], \"size_3d\": [2.01, 1.66, 4.35]}]\n```" + } + ] + }, + { + "id": 368, + "data_source": "Mono3DRefer", + "scene_name": "000917", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1275.26, 172.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [23.46, 0.79, 25.49], \"size_3d\": [1.59, 1.55, 3.93]}]\n```" + } + ] + }, + { + "id": 369, + "data_source": "Mono3DRefer", + "scene_name": "000929", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [640.18, 199.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.96, 1.68, 24.03], \"size_3d\": [1.61, 1.66, 3.2]}]\n```" + } + ] + }, + { + "id": 370, + "data_source": "Mono3DRefer", + "scene_name": "000929", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [527.17, 198.20]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.31, 1.72, 28.46], \"size_3d\": [1.44, 1.61, 3.66]}]\n```" + } + ] + }, + { + "id": 371, + "data_source": "Mono3DRefer", + "scene_name": "000929", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [478.15, 196.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.93, 1.78, 32.23], \"size_3d\": [1.41, 1.53, 3.37]}]\n```" + } + ] + }, + { + "id": 372, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [614.34, 204.24]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.1, 1.73, 24.13], \"size_3d\": [1.36, 1.69, 3.38]}]\n```" + } + ] + }, + { + "id": 373, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [42.36, 276.69]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.81, 1.6, 6.04], \"size_3d\": [1.46, 1.49, 3.4]}]\n```" + } + ] + }, + { + "id": 374, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [244.49, 240.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.63, 1.56, 9.03], \"size_3d\": [1.43, 1.62, 3.47]}]\n```" + } + ] + }, + { + "id": 375, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [406.51, 213.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.78, 1.62, 16.77], \"size_3d\": [1.37, 1.55, 3.96]}]\n```" + } + ] + }, + { + "id": 376, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [441.52, 207.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.66, 1.68, 19.75], \"size_3d\": [1.44, 1.59, 3.57]}]\n```" + } + ] + }, + { + "id": 377, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [477.08, 199.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.08, 1.7, 27.34], \"size_3d\": [1.4, 1.57, 3.83]}]\n```" + } + ] + }, + { + "id": 378, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [503.69, 184.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.44, 1.58, 29.85], \"size_3d\": [2.21, 1.82, 4.69]}]\n```" + } + ] + }, + { + "id": 379, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1289.08, 302.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.03, 1.64, 4.34], \"size_3d\": [1.72, 1.79, 3.94]}]\n```" + } + ] + }, + { + "id": 380, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [757.47, 209.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.61, 1.72, 17.9], \"size_3d\": [1.61, 0.74, 1.08]}]\n```" + } + ] + }, + { + "id": 381, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1020.97, 214.29]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.27, 1.79, 16.36], \"size_3d\": [1.7, 1.77, 4.06]}]\n```" + } + ] + }, + { + "id": 382, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [610.14, 195.98]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.03, 1.95, 37.12], \"size_3d\": [1.52, 1.67, 3.61]}]\n```" + } + ] + }, + { + "id": 383, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [20.54, 237.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.25, 1.6, 10.03], \"size_3d\": [1.4, 1.44, 3.45]}]\n```" + } + ] + }, + { + "id": 384, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [1264.79, 200.92]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [14.99, 1.9, 16.57], \"size_3d\": [2.51, 2.46, 5.85]}]\n```" + } + ] + }, + { + "id": 385, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [224.11, 196.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-14.33, 1.65, 26.71], \"size_3d\": [1.58, 1.73, 4.22]}]\n```" + } + ] + }, + { + "id": 386, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [291.68, 195.44]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-14.41, 1.65, 32.57], \"size_3d\": [1.26, 1.46, 3.32]}]\n```" + } + ] + }, + { + "id": 387, + "data_source": "Mono3DRefer", + "scene_name": "000936", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [419.18, 179.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-14.52, 2.03, 54.8], \"size_3d\": [2.98, 2.46, 7.5]}]\n```" + } + ] + }, + { + "id": 388, + "data_source": "Mono3DRefer", + "scene_name": "000940", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [1179.08, 231.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.02, 1.5, 7.7], \"size_3d\": [1.75, 0.51, 1.52]}]\n```" + } + ] + }, + { + "id": 389, + "data_source": "Mono3DRefer", + "scene_name": "000940", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-8.38, 223.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-16.18, 1.98, 18.82], \"size_3d\": [1.34, 1.65, 4.44]}]\n```" + } + ] + }, + { + "id": 390, + "data_source": "Mono3DRefer", + "scene_name": "000940", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [338.63, 198.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.67, 2.2, 41.57], \"size_3d\": [1.49, 1.76, 4.01]}]\n```" + } + ] + }, + { + "id": 391, + "data_source": "Mono3DRefer", + "scene_name": "000940", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [400.03, 193.92]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.87, 2.28, 54.44], \"size_3d\": [1.38, 1.8, 3.41]}]\n```" + } + ] + }, + { + "id": 392, + "data_source": "Mono3DRefer", + "scene_name": "000984", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [215.02, 191.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.08, 2.03, 36.61], \"size_3d\": [2.18, 1.92, 4.99]}]\n```" + } + ] + }, + { + "id": 393, + "data_source": "Mono3DRefer", + "scene_name": "000984", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [397.33, 192.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.75, 2.22, 53.34], \"size_3d\": [1.49, 1.88, 4.41]}]\n```" + } + ] + }, + { + "id": 394, + "data_source": "Mono3DRefer", + "scene_name": "000984", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [352.06, 187.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.36, 2.09, 56.88], \"size_3d\": [1.94, 1.88, 5.3]}]\n```" + } + ] + }, + { + "id": 395, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [856.44, 200.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.55, 1.35, 13.47], \"size_3d\": [1.67, 0.7, 0.44]}]\n```" + } + ] + }, + { + "id": 396, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [432.55, 223.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.23, 1.76, 12.92], \"size_3d\": [1.71, 0.56, 1.68]}]\n```" + } + ] + }, + { + "id": 397, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [478.71, 203.38]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.68, 1.75, 19.96], \"size_3d\": [1.81, 0.51, 1.71]}]\n```" + } + ] + }, + { + "id": 398, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [744.69, 213.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.72, 1.63, 14.84], \"size_3d\": [1.57, 1.54, 3.22]}]\n```" + } + ] + }, + { + "id": 399, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [699.69, 199.99]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.43, 1.62, 19.93], \"size_3d\": [1.74, 1.6, 3.86]}]\n```" + } + ] + }, + { + "id": 400, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [678.70, 193.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.38, 1.63, 25.46], \"size_3d\": [1.83, 1.69, 4.44]}]\n```" + } + ] + }, + { + "id": 401, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [620.19, 180.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.62, 1.41, 46.16], \"size_3d\": [1.9, 0.42, 1.04]}]\n```" + } + ] + }, + { + "id": 402, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [627.21, 181.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.08, 1.5, 46.58], \"size_3d\": [1.87, 0.5, 0.9]}]\n```" + } + ] + }, + { + "id": 403, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [544.85, 181.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.17, 1.6, 56.98], \"size_3d\": [1.86, 1.57, 3.83]}]\n```" + } + ] + }, + { + "id": 404, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [494.49, 192.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.54, 1.68, 34.36], \"size_3d\": [1.5, 1.46, 3.7]}]\n```" + } + ] + }, + { + "id": 405, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [275.12, 244.09]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.41, 1.91, 11.54], \"size_3d\": [1.54, 1.7, 4.32]}]\n```" + } + ] + }, + { + "id": 406, + "data_source": "Mono3DRefer", + "scene_name": "000992", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [381.67, 218.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.31, 1.83, 16.62], \"size_3d\": [1.54, 1.54, 3.72]}]\n```" + } + ] + }, + { + "id": 407, + "data_source": "Mono3DRefer", + "scene_name": "000994", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [668.08, 172.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.29, 1.76, 41.3], \"size_3d\": [3.52, 2.89, 10.81]}]\n```" + } + ] + }, + { + "id": 408, + "data_source": "Mono3DRefer", + "scene_name": "000994", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [157.76, 201.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-19.51, 2.01, 31.06], \"size_3d\": [1.58, 1.64, 3.88]}]\n```" + } + ] + }, + { + "id": 409, + "data_source": "Mono3DRefer", + "scene_name": "000994", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [227.76, 198.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-19.37, 1.99, 36.49], \"size_3d\": [1.43, 1.81, 4.16]}]\n```" + } + ] + }, + { + "id": 410, + "data_source": "Mono3DRefer", + "scene_name": "000994", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [295.71, 194.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-19.23, 2.03, 44.07], \"size_3d\": [1.47, 1.67, 4.31]}]\n```" + } + ] + }, + { + "id": 411, + "data_source": "Mono3DRefer", + "scene_name": "000994", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [333.12, 190.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-19.06, 1.97, 49.59], \"size_3d\": [1.48, 1.44, 3.59]}]\n```" + } + ] + }, + { + "id": 412, + "data_source": "Mono3DRefer", + "scene_name": "000994", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [363.97, 189.41]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-18.74, 1.97, 54.88], \"size_3d\": [1.42, 1.68, 3.38]}]\n```" + } + ] + }, + { + "id": 413, + "data_source": "Mono3DRefer", + "scene_name": "000994", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [410.70, 187.19]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-18.16, 2.09, 65.67], \"size_3d\": [1.57, 1.47, 3.35]}]\n```" + } + ] + }, + { + "id": 414, + "data_source": "Mono3DRefer", + "scene_name": "000995", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [315.37, 259.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.12, 1.54, 7.71], \"size_3d\": [1.41, 1.54, 3.36]}]\n```" + } + ] + }, + { + "id": 415, + "data_source": "Mono3DRefer", + "scene_name": "000995", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [551.85, 203.69]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.26, 1.31, 17.76], \"size_3d\": [1.52, 1.67, 4.38]}]\n```" + } + ] + }, + { + "id": 416, + "data_source": "Mono3DRefer", + "scene_name": "000995", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [536.00, 194.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.23, 1.21, 24.21], \"size_3d\": [1.56, 1.59, 3.65]}]\n```" + } + ] + }, + { + "id": 417, + "data_source": "Mono3DRefer", + "scene_name": "000995", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [243.29, 197.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.16, 1.5, 14.28], \"size_3d\": [2.35, 1.88, 5.74]}]\n```" + } + ] + }, + { + "id": 418, + "data_source": "Mono3DRefer", + "scene_name": "000995", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [616.75, 188.56]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.61, 1.03, 29.4], \"size_3d\": [1.48, 1.47, 2.23]}]\n```" + } + ] + }, + { + "id": 419, + "data_source": "Mono3DRefer", + "scene_name": "000995", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [483.58, 187.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.21, 1.05, 37.82], \"size_3d\": [1.42, 1.44, 3.19]}]\n```" + } + ] + }, + { + "id": 420, + "data_source": "Mono3DRefer", + "scene_name": "001007", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [851.62, 200.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.91, 1.63, 8.85], \"size_3d\": [2.57, 1.99, 6.64]}]\n```" + } + ] + }, + { + "id": 421, + "data_source": "Mono3DRefer", + "scene_name": "001007", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-31.39, 250.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.92, 1.62, 7.72], \"size_3d\": [1.58, 1.54, 3.3]}]\n```" + } + ] + }, + { + "id": 422, + "data_source": "Mono3DRefer", + "scene_name": "001007", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [161.67, 230.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.48, 1.67, 10.34], \"size_3d\": [1.68, 1.71, 4.07]}]\n```" + } + ] + }, + { + "id": 423, + "data_source": "Mono3DRefer", + "scene_name": "001007", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [246.87, 222.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.43, 1.63, 12.67], \"size_3d\": [1.53, 1.7, 4.32]}]\n```" + } + ] + }, + { + "id": 424, + "data_source": "Mono3DRefer", + "scene_name": "001007", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [374.21, 205.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.02, 1.6, 18.27], \"size_3d\": [1.54, 1.78, 4.2]}]\n```" + } + ] + }, + { + "id": 425, + "data_source": "Mono3DRefer", + "scene_name": "001007", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [456.95, 195.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.9, 1.61, 27.61], \"size_3d\": [1.5, 1.66, 4.4]}]\n```" + } + ] + }, + { + "id": 426, + "data_source": "Mono3DRefer", + "scene_name": "001007", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [454.90, 181.20]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.54, 1.78, 30.23], \"size_3d\": [2.86, 1.88, 5.81]}]\n```" + } + ] + }, + { + "id": 427, + "data_source": "Mono3DRefer", + "scene_name": "001007", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [683.21, 199.92]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.62, 1.69, 26.25], \"size_3d\": [1.41, 1.62, 4.19]}]\n```" + } + ] + }, + { + "id": 428, + "data_source": "Mono3DRefer", + "scene_name": "001079", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [664.87, 196.92]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.49, 1.93, 33.26], \"size_3d\": [1.64, 1.69, 3.3]}]\n```" + } + ] + }, + { + "id": 429, + "data_source": "Mono3DRefer", + "scene_name": "001090", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [555.99, 202.90]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.09, 2.54, 40.81], \"size_3d\": [1.68, 1.63, 3.9]}]\n```" + } + ] + }, + { + "id": 430, + "data_source": "Mono3DRefer", + "scene_name": "001098", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [589.79, 199.29]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.71, 1.67, 23.73], \"size_3d\": [1.6, 1.66, 3.55]}]\n```" + } + ] + }, + { + "id": 431, + "data_source": "Mono3DRefer", + "scene_name": "001117", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [642.13, 185.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.37, 1.63, 53.83], \"size_3d\": [1.42, 1.45, 3.2]}]\n```" + } + ] + }, + { + "id": 432, + "data_source": "Mono3DRefer", + "scene_name": "001117", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [696.51, 202.03]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.77, 1.64, 23.48], \"size_3d\": [1.38, 1.49, 3.32]}]\n```" + } + ] + }, + { + "id": 433, + "data_source": "Mono3DRefer", + "scene_name": "001117", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [851.36, 234.13]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.49, 1.65, 10.59], \"size_3d\": [1.5, 1.62, 3.89]}]\n```" + } + ] + }, + { + "id": 434, + "data_source": "Mono3DRefer", + "scene_name": "001117", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [755.21, 191.13]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.03, 1.61, 35.12], \"size_3d\": [1.44, 1.56, 3.96]}]\n```" + } + ] + }, + { + "id": 435, + "data_source": "Mono3DRefer", + "scene_name": "001117", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [1001.26, 165.68]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.33, 1.64, 13.61], \"size_3d\": [3.55, 2.56, 7.97]}]\n```" + } + ] + }, + { + "id": 436, + "data_source": "Mono3DRefer", + "scene_name": "001153", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [585.79, 261.35]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.28, 1.62, 6.68], \"size_3d\": [1.6, 1.57, 3.23]}]\n```" + } + ] + }, + { + "id": 437, + "data_source": "Mono3DRefer", + "scene_name": "001153", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [808.12, 231.68]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.69, 1.6, 9.99], \"size_3d\": [1.57, 1.5, 3.68]}]\n```" + } + ] + }, + { + "id": 438, + "data_source": "Mono3DRefer", + "scene_name": "001153", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [956.56, 216.98]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.29, 1.67, 15.28], \"size_3d\": [1.47, 1.6, 3.66]}]\n```" + } + ] + }, + { + "id": 439, + "data_source": "Mono3DRefer", + "scene_name": "001153", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1087.36, 196.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [20.0, 1.85, 30.29], \"size_3d\": [1.7, 1.63, 4.08]}]\n```" + } + ] + }, + { + "id": 440, + "data_source": "Mono3DRefer", + "scene_name": "001153", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1282.00, 224.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [16.14, 2.03, 17.38], \"size_3d\": [1.59, 1.59, 2.47]}]\n```" + } + ] + }, + { + "id": 441, + "data_source": "Mono3DRefer", + "scene_name": "001155", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [674.47, 203.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.39, 1.85, 27.23], \"size_3d\": [1.41, 1.58, 4.36]}]\n```" + } + ] + }, + { + "id": 442, + "data_source": "Mono3DRefer", + "scene_name": "001166", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [372.53, 251.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.06, 1.7, 9.13], \"size_3d\": [1.42, 1.66, 4.11]}]\n```" + } + ] + }, + { + "id": 443, + "data_source": "Mono3DRefer", + "scene_name": "001166", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [564.57, 171.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.47, 0.9, 54.69], \"size_3d\": [1.97, 1.87, 4.53]}]\n```" + } + ] + }, + { + "id": 444, + "data_source": "Mono3DRefer", + "scene_name": "001178", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [817.60, 212.41]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.62, 1.39, 12.76], \"size_3d\": [1.38, 1.64, 3.51]}]\n```" + } + ] + }, + { + "id": 445, + "data_source": "Mono3DRefer", + "scene_name": "001178", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [782.01, 201.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.25, 1.48, 18.03], \"size_3d\": [1.52, 1.53, 4.15]}]\n```" + } + ] + }, + { + "id": 446, + "data_source": "Mono3DRefer", + "scene_name": "001178", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [768.82, 187.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.15, 1.38, 23.6], \"size_3d\": [1.8, 1.74, 4.96]}]\n```" + } + ] + }, + { + "id": 447, + "data_source": "Mono3DRefer", + "scene_name": "001178", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [804.44, 166.20]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [12.4, 0.87, 46.13], \"size_3d\": [2.59, 1.98, 5.33]}]\n```" + } + ] + }, + { + "id": 448, + "data_source": "Mono3DRefer", + "scene_name": "001202", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [564.70, 189.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.58, 2.03, 56.62], \"size_3d\": [1.44, 1.72, 4.14]}]\n```" + } + ] + }, + { + "id": 449, + "data_source": "Mono3DRefer", + "scene_name": "001212", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [610.89, 176.40]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.03, 2.0, 48.8], \"size_3d\": [3.52, 2.89, 10.81]}]\n```" + } + ] + }, + { + "id": 450, + "data_source": "Mono3DRefer", + "scene_name": "001212", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [247.33, 213.59]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-17.13, 2.66, 34.0], \"size_3d\": [1.48, 1.79, 4.15]}]\n```" + } + ] + }, + { + "id": 451, + "data_source": "Mono3DRefer", + "scene_name": "001219", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [554.69, 188.25]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.53, 1.98, 58.78], \"size_3d\": [1.45, 1.53, 3.98]}]\n```" + } + ] + }, + { + "id": 452, + "data_source": "Mono3DRefer", + "scene_name": "001219", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [524.13, 195.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.19, 1.94, 34.88], \"size_3d\": [1.65, 1.56, 3.98]}]\n```" + } + ] + }, + { + "id": 453, + "data_source": "Mono3DRefer", + "scene_name": "001256", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [318.95, 227.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.7, 1.48, 9.02], \"size_3d\": [1.76, 0.56, 0.73]}]\n```" + } + ] + }, + { + "id": 454, + "data_source": "Mono3DRefer", + "scene_name": "001261", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [861.16, 222.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.32, 1.55, 9.69], \"size_3d\": [1.77, 1.63, 4.1]}]\n```" + } + ] + }, + { + "id": 455, + "data_source": "Mono3DRefer", + "scene_name": "001261", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [708.16, 191.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.41, 1.5, 25.39], \"size_3d\": [1.69, 1.64, 4.21]}]\n```" + } + ] + }, + { + "id": 456, + "data_source": "Mono3DRefer", + "scene_name": "001261", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [529.42, 195.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.51, 1.74, 31.06], \"size_3d\": [1.55, 1.64, 3.7]}]\n```" + } + ] + }, + { + "id": 457, + "data_source": "Mono3DRefer", + "scene_name": "001261", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [588.59, 188.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.28, 1.7, 41.98], \"size_3d\": [1.63, 1.81, 4.54]}]\n```" + } + ] + }, + { + "id": 458, + "data_source": "Mono3DRefer", + "scene_name": "001312", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [556.83, 184.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.95, 1.83, 66.91], \"size_3d\": [1.45, 1.53, 3.98]}]\n```" + } + ] + }, + { + "id": 459, + "data_source": "Mono3DRefer", + "scene_name": "001312", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [536.31, 189.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.46, 1.83, 43.34], \"size_3d\": [1.65, 1.56, 3.98]}]\n```" + } + ] + }, + { + "id": 460, + "data_source": "Mono3DRefer", + "scene_name": "001324", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [448.70, 208.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.41, 1.8, 19.51], \"size_3d\": [1.68, 1.63, 3.9]}]\n```" + } + ] + }, + { + "id": 461, + "data_source": "Mono3DRefer", + "scene_name": "001324", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [457.93, 194.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.18, 1.73, 33.88], \"size_3d\": [1.47, 1.7, 4.39]}]\n```" + } + ] + }, + { + "id": 462, + "data_source": "Mono3DRefer", + "scene_name": "001345", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [189.55, 178.19]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.87, 1.79, 16.85], \"size_3d\": [3.33, 2.76, 18.1]}]\n```" + } + ] + }, + { + "id": 463, + "data_source": "Mono3DRefer", + "scene_name": "001345", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [928.03, 203.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.05, 1.46, 13.84], \"size_3d\": [1.75, 0.51, 1.52]}]\n```" + } + ] + }, + { + "id": 464, + "data_source": "Mono3DRefer", + "scene_name": "001345", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [417.49, 190.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.5, 2.19, 58.0], \"size_3d\": [1.49, 1.76, 4.01]}]\n```" + } + ] + }, + { + "id": 465, + "data_source": "Mono3DRefer", + "scene_name": "001348", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [463.24, 244.51]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.41, 1.54, 6.77], \"size_3d\": [1.85, 0.66, 1.18]}]\n```" + } + ] + }, + { + "id": 466, + "data_source": "Mono3DRefer", + "scene_name": "001358", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [211.77, 232.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.24, 1.54, 9.33], \"size_3d\": [1.71, 0.64, 0.9]}]\n```" + } + ] + }, + { + "id": 467, + "data_source": "Mono3DRefer", + "scene_name": "001358", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [673.38, 206.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.42, 1.47, 15.1], \"size_3d\": [1.81, 0.58, 1.7]}]\n```" + } + ] + }, + { + "id": 468, + "data_source": "Mono3DRefer", + "scene_name": "001358", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1115.34, 228.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.67, 1.19, 7.92], \"size_3d\": [1.31, 1.61, 3.78]}]\n```" + } + ] + }, + { + "id": 469, + "data_source": "Mono3DRefer", + "scene_name": "001358", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [556.58, 187.99]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.24, 1.21, 32.44], \"size_3d\": [1.73, 0.61, 1.7]}]\n```" + } + ] + }, + { + "id": 470, + "data_source": "Mono3DRefer", + "scene_name": "001358", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [714.07, 189.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.19, 1.18, 20.89], \"size_3d\": [1.82, 0.53, 0.88]}]\n```" + } + ] + }, + { + "id": 471, + "data_source": "Mono3DRefer", + "scene_name": "001358", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [775.02, 188.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.35, 1.0, 26.51], \"size_3d\": [1.41, 1.63, 4.42]}]\n```" + } + ] + }, + { + "id": 472, + "data_source": "Mono3DRefer", + "scene_name": "001381", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [414.89, 216.56]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.8, 1.59, 13.86], \"size_3d\": [1.5, 1.62, 4.19]}]\n```" + } + ] + }, + { + "id": 473, + "data_source": "Mono3DRefer", + "scene_name": "001396", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [624.35, 202.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.42, 1.64, 23.41], \"size_3d\": [1.36, 1.69, 3.38]}]\n```" + } + ] + }, + { + "id": 474, + "data_source": "Mono3DRefer", + "scene_name": "001396", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [809.28, 191.38]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.4, 1.67, 30.56], \"size_3d\": [1.77, 0.57, 0.89]}]\n```" + } + ] + }, + { + "id": 475, + "data_source": "Mono3DRefer", + "scene_name": "001396", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [439.74, 189.59]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.08, 1.98, 51.07], \"size_3d\": [1.59, 1.72, 3.86]}]\n```" + } + ] + }, + { + "id": 476, + "data_source": "Mono3DRefer", + "scene_name": "001396", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [747.38, 187.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.03, 1.72, 42.35], \"size_3d\": [1.68, 0.86, 2.01]}]\n```" + } + ] + }, + { + "id": 477, + "data_source": "Mono3DRefer", + "scene_name": "001396", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [649.29, 185.76]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.71, 1.96, 50.3], \"size_3d\": [2.12, 1.86, 4.41]}]\n```" + } + ] + }, + { + "id": 478, + "data_source": "Mono3DRefer", + "scene_name": "001396", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [548.44, 186.68]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.75, 1.77, 43.56], \"size_3d\": [1.87, 0.64, 0.65]}]\n```" + } + ] + }, + { + "id": 479, + "data_source": "Mono3DRefer", + "scene_name": "001396", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [602.74, 192.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.37, 1.67, 32.82], \"size_3d\": [1.52, 1.67, 3.61]}]\n```" + } + ] + }, + { + "id": 480, + "data_source": "Mono3DRefer", + "scene_name": "001440", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [418.64, 195.19]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.39, 1.72, 31.48], \"size_3d\": [1.49, 1.64, 3.7]}]\n```" + } + ] + }, + { + "id": 481, + "data_source": "Mono3DRefer", + "scene_name": "001460", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [719.11, 221.25]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.35, 1.77, 15.87], \"size_3d\": [1.41, 1.64, 3.77]}]\n```" + } + ] + }, + { + "id": 482, + "data_source": "Mono3DRefer", + "scene_name": "001460", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [513.09, 201.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.53, 2.33, 40.91], \"size_3d\": [1.43, 1.76, 3.97]}]\n```" + } + ] + }, + { + "id": 483, + "data_source": "Mono3DRefer", + "scene_name": "001460", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [419.32, 221.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.36, 2.09, 20.1], \"size_3d\": [1.49, 1.61, 3.94]}]\n```" + } + ] + }, + { + "id": 484, + "data_source": "Mono3DRefer", + "scene_name": "001460", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [457.04, 212.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.4, 2.12, 25.26], \"size_3d\": [1.48, 1.66, 3.9]}]\n```" + } + ] + }, + { + "id": 485, + "data_source": "Mono3DRefer", + "scene_name": "001460", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [279.64, 252.02]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.58, 1.98, 12.07], \"size_3d\": [1.31, 1.58, 4.23]}]\n```" + } + ] + }, + { + "id": 486, + "data_source": "Mono3DRefer", + "scene_name": "001501", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: bus, the coordinate of center point in the image: [608.67, 178.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.15, 2.01, 73.28], \"size_3d\": [2.85, 2.63, 12.34]}]\n```" + } + ] + }, + { + "id": 487, + "data_source": "Mono3DRefer", + "scene_name": "001501", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [391.23, 197.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-14.83, 2.4, 48.81], \"size_3d\": [1.46, 1.86, 4.01]}]\n```" + } + ] + }, + { + "id": 488, + "data_source": "Mono3DRefer", + "scene_name": "001510", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [642.31, 185.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.28, 1.64, 51.54], \"size_3d\": [1.5, 1.62, 3.89]}]\n```" + } + ] + }, + { + "id": 489, + "data_source": "Mono3DRefer", + "scene_name": "001510", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [698.97, 195.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.16, 1.66, 25.98], \"size_3d\": [1.69, 1.58, 3.95]}]\n```" + } + ] + }, + { + "id": 490, + "data_source": "Mono3DRefer", + "scene_name": "001510", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [765.65, 214.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.48, 1.64, 16.36], \"size_3d\": [1.41, 1.57, 3.23]}]\n```" + } + ] + }, + { + "id": 491, + "data_source": "Mono3DRefer", + "scene_name": "001510", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [699.78, 170.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.09, 1.61, 49.18], \"size_3d\": [3.55, 2.56, 7.97]}]\n```" + } + ] + }, + { + "id": 492, + "data_source": "Mono3DRefer", + "scene_name": "001510", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [941.11, 212.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.39, 1.62, 16.21], \"size_3d\": [1.45, 1.61, 4.2]}]\n```" + } + ] + }, + { + "id": 493, + "data_source": "Mono3DRefer", + "scene_name": "001510", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [843.09, 188.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [13.02, 1.63, 40.41], \"size_3d\": [1.48, 1.36, 3.51]}]\n```" + } + ] + }, + { + "id": 494, + "data_source": "Mono3DRefer", + "scene_name": "001531", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [117.02, 250.83]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.69, 1.74, 9.71], \"size_3d\": [1.38, 1.67, 4.37]}]\n```" + } + ] + }, + { + "id": 495, + "data_source": "Mono3DRefer", + "scene_name": "001531", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [326.59, 202.20]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.83, 1.85, 22.36], \"size_3d\": [1.88, 0.67, 1.18]}]\n```" + } + ] + }, + { + "id": 496, + "data_source": "Mono3DRefer", + "scene_name": "001531", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1190.42, 210.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.88, 1.28, 9.86], \"size_3d\": [1.54, 1.44, 2.54]}]\n```" + } + ] + }, + { + "id": 497, + "data_source": "Mono3DRefer", + "scene_name": "001531", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [342.55, 216.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.2, 1.71, 16.59], \"size_3d\": [1.42, 1.41, 4.3]}]\n```" + } + ] + }, + { + "id": 498, + "data_source": "Mono3DRefer", + "scene_name": "001540", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [336.57, 228.38]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.18, 1.45, 8.24], \"size_3d\": [1.78, 0.67, 1.26]}]\n```" + } + ] + }, + { + "id": 499, + "data_source": "Mono3DRefer", + "scene_name": "001546", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [590.60, 183.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.79, 1.6, 65.84], \"size_3d\": [1.26, 1.6, 3.56]}]\n```" + } + ] + }, + { + "id": 500, + "data_source": "Mono3DRefer", + "scene_name": "001546", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [387.30, 205.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.17, 1.79, 23.08], \"size_3d\": [1.48, 1.64, 3.59]}]\n```" + } + ] + }, + { + "id": 501, + "data_source": "Mono3DRefer", + "scene_name": "001594", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-11.71, 368.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.05, 1.63, 3.47], \"size_3d\": [1.38, 1.69, 3.74]}]\n```" + } + ] + }, + { + "id": 502, + "data_source": "Mono3DRefer", + "scene_name": "001594", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [716.62, 210.64]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.07, 1.86, 21.09], \"size_3d\": [1.51, 1.56, 3.81]}]\n```" + } + ] + }, + { + "id": 503, + "data_source": "Mono3DRefer", + "scene_name": "001594", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [697.14, 204.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.14, 1.93, 26.36], \"size_3d\": [1.57, 1.68, 3.83]}]\n```" + } + ] + }, + { + "id": 504, + "data_source": "Mono3DRefer", + "scene_name": "001594", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [678.26, 190.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.13, 2.03, 33.5], \"size_3d\": [2.38, 1.98, 5.62]}]\n```" + } + ] + }, + { + "id": 505, + "data_source": "Mono3DRefer", + "scene_name": "001594", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [552.15, 192.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.14, 1.83, 38.71], \"size_3d\": [1.52, 1.5, 3.85]}]\n```" + } + ] + }, + { + "id": 506, + "data_source": "Mono3DRefer", + "scene_name": "001608", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [634.84, 202.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.63, 1.48, 19.69], \"size_3d\": [1.36, 1.69, 3.38]}]\n```" + } + ] + }, + { + "id": 507, + "data_source": "Mono3DRefer", + "scene_name": "001608", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [929.69, 190.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.5, 1.35, 19.29], \"size_3d\": [1.77, 0.57, 0.89]}]\n```" + } + ] + }, + { + "id": 508, + "data_source": "Mono3DRefer", + "scene_name": "001608", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1084.04, 186.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [18.44, 1.24, 28.13], \"size_3d\": [1.45, 1.67, 4.32]}]\n```" + } + ] + }, + { + "id": 509, + "data_source": "Mono3DRefer", + "scene_name": "001608", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [410.72, 191.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-11.53, 1.88, 41.62], \"size_3d\": [1.59, 1.72, 3.86]}]\n```" + } + ] + }, + { + "id": 510, + "data_source": "Mono3DRefer", + "scene_name": "001608", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [773.59, 184.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.32, 1.35, 32.46], \"size_3d\": [1.68, 0.86, 2.01]}]\n```" + } + ] + }, + { + "id": 511, + "data_source": "Mono3DRefer", + "scene_name": "001608", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [669.09, 181.35]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.3, 1.54, 40.72], \"size_3d\": [2.12, 1.86, 4.41]}]\n```" + } + ] + }, + { + "id": 512, + "data_source": "Mono3DRefer", + "scene_name": "001608", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [541.88, 186.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.27, 1.6, 34.22], \"size_3d\": [1.87, 0.64, 0.65]}]\n```" + } + ] + }, + { + "id": 513, + "data_source": "Mono3DRefer", + "scene_name": "001608", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [606.44, 191.76]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.19, 1.55, 30.14], \"size_3d\": [1.52, 1.67, 3.61]}]\n```" + } + ] + }, + { + "id": 514, + "data_source": "Mono3DRefer", + "scene_name": "001613", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [448.78, 191.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-14.11, 2.39, 63.05], \"size_3d\": [1.55, 1.88, 4.59]}]\n```" + } + ] + }, + { + "id": 515, + "data_source": "Mono3DRefer", + "scene_name": "001613", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [355.79, 179.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.46, 2.61, 58.0], \"size_3d\": [4.14, 2.97, 8.86]}]\n```" + } + ] + }, + { + "id": 516, + "data_source": "Mono3DRefer", + "scene_name": "001613", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [393.99, 179.35]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.46, 2.71, 68.28], \"size_3d\": [4.19, 2.94, 8.67]}]\n```" + } + ] + }, + { + "id": 517, + "data_source": "Mono3DRefer", + "scene_name": "001614", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [1119.59, 214.13]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.35, 1.59, 10.48], \"size_3d\": [1.98, 1.8, 4.54]}]\n```" + } + ] + }, + { + "id": 518, + "data_source": "Mono3DRefer", + "scene_name": "001614", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [683.59, 226.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.38, 1.79, 14.03], \"size_3d\": [1.48, 1.71, 4.65]}]\n```" + } + ] + }, + { + "id": 519, + "data_source": "Mono3DRefer", + "scene_name": "001614", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [551.22, 211.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.34, 1.87, 15.83], \"size_3d\": [2.04, 1.66, 4.62]}]\n```" + } + ] + }, + { + "id": 520, + "data_source": "Mono3DRefer", + "scene_name": "001614", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [919.32, 197.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.57, 1.32, 17.77], \"size_3d\": [1.42, 1.64, 3.95]}]\n```" + } + ] + }, + { + "id": 521, + "data_source": "Mono3DRefer", + "scene_name": "001614", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [1208.84, 167.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [26.62, 1.12, 32.12], \"size_3d\": [2.75, 2.04, 6.05]}]\n```" + } + ] + }, + { + "id": 522, + "data_source": "Mono3DRefer", + "scene_name": "001614", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [1112.44, 160.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [21.98, 1.23, 31.62], \"size_3d\": [3.57, 2.25, 7.97]}]\n```" + } + ] + }, + { + "id": 523, + "data_source": "Mono3DRefer", + "scene_name": "001614", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [375.26, 222.13]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.12, 2.04, 18.66], \"size_3d\": [1.53, 1.61, 4.73]}]\n```" + } + ] + }, + { + "id": 524, + "data_source": "Mono3DRefer", + "scene_name": "001614", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [272.56, 222.35]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.93, 2.15, 21.13], \"size_3d\": [1.4, 1.56, 3.48]}]\n```" + } + ] + }, + { + "id": 525, + "data_source": "Mono3DRefer", + "scene_name": "001636", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [1092.03, 206.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.31, 1.51, 14.01], \"size_3d\": [1.73, 0.62, 1.83]}]\n```" + } + ] + }, + { + "id": 526, + "data_source": "Mono3DRefer", + "scene_name": "001636", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [753.61, 193.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.34, 1.96, 42.07], \"size_3d\": [1.48, 1.8, 4.31]}]\n```" + } + ] + }, + { + "id": 527, + "data_source": "Mono3DRefer", + "scene_name": "001636", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [566.10, 196.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.37, 2.05, 38.35], \"size_3d\": [1.63, 0.4, 0.84]}]\n```" + } + ] + }, + { + "id": 528, + "data_source": "Mono3DRefer", + "scene_name": "001636", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [672.75, 193.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.19, 2.2, 48.52], \"size_3d\": [1.69, 1.88, 4.5]}]\n```" + } + ] + }, + { + "id": 529, + "data_source": "Mono3DRefer", + "scene_name": "001642", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [460.47, 195.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.34, 1.96, 40.07], \"size_3d\": [1.36, 1.68, 4.49]}]\n```" + } + ] + }, + { + "id": 530, + "data_source": "Mono3DRefer", + "scene_name": "001669", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-3.40, 380.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.01, 1.8, 3.47], \"size_3d\": [1.6, 1.68, 3.94]}]\n```" + } + ] + }, + { + "id": 531, + "data_source": "Mono3DRefer", + "scene_name": "001669", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [543.74, 202.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.01, 2.04, 32.34], \"size_3d\": [1.42, 1.66, 4.11]}]\n```" + } + ] + }, + { + "id": 532, + "data_source": "Mono3DRefer", + "scene_name": "001720", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [673.78, 169.29]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.52, 1.3, 73.92], \"size_3d\": [3.33, 2.37, 23.29]}]\n```" + } + ] + }, + { + "id": 533, + "data_source": "Mono3DRefer", + "scene_name": "001720", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-0.77, 257.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.13, 2.02, 10.72], \"size_3d\": [1.53, 1.66, 4.01]}]\n```" + } + ] + }, + { + "id": 534, + "data_source": "Mono3DRefer", + "scene_name": "001720", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [200.04, 229.13]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.08, 1.98, 15.89], \"size_3d\": [1.48, 1.6, 3.9]}]\n```" + } + ] + }, + { + "id": 535, + "data_source": "Mono3DRefer", + "scene_name": "001720", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [426.76, 197.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.1, 2.03, 35.68], \"size_3d\": [1.61, 1.67, 4.56]}]\n```" + } + ] + }, + { + "id": 536, + "data_source": "Mono3DRefer", + "scene_name": "001720", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [882.56, 177.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [11.08, 1.07, 29.44], \"size_3d\": [1.78, 0.44, 1.7]}]\n```" + } + ] + }, + { + "id": 537, + "data_source": "Mono3DRefer", + "scene_name": "001769", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [699.93, 169.25]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.6, 1.28, 77.12], \"size_3d\": [3.33, 2.37, 23.29]}]\n```" + } + ] + }, + { + "id": 538, + "data_source": "Mono3DRefer", + "scene_name": "001769", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-43.23, 247.95]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.01, 1.93, 9.89], \"size_3d\": [1.8, 1.61, 3.83]}]\n```" + } + ] + }, + { + "id": 539, + "data_source": "Mono3DRefer", + "scene_name": "001769", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [180.20, 231.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.91, 1.94, 14.87], \"size_3d\": [1.45, 1.45, 3.4]}]\n```" + } + ] + }, + { + "id": 540, + "data_source": "Mono3DRefer", + "scene_name": "001769", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [288.35, 212.17]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.84, 1.95, 19.72], \"size_3d\": [1.75, 1.71, 4.31]}]\n```" + } + ] + }, + { + "id": 541, + "data_source": "Mono3DRefer", + "scene_name": "001769", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [403.39, 201.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.47, 1.94, 29.43], \"size_3d\": [1.53, 1.66, 4.01]}]\n```" + } + ] + }, + { + "id": 542, + "data_source": "Mono3DRefer", + "scene_name": "001769", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [440.43, 196.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.18, 1.89, 34.64], \"size_3d\": [1.48, 1.6, 3.9]}]\n```" + } + ] + }, + { + "id": 543, + "data_source": "Mono3DRefer", + "scene_name": "001769", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [511.85, 188.16]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.43, 1.96, 54.42], \"size_3d\": [1.61, 1.67, 4.56]}]\n```" + } + ] + }, + { + "id": 544, + "data_source": "Mono3DRefer", + "scene_name": "001793", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [516.10, 205.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.27, 1.87, 24.78], \"size_3d\": [1.48, 1.87, 4.42]}]\n```" + } + ] + }, + { + "id": 545, + "data_source": "Mono3DRefer", + "scene_name": "001994", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [943.70, 220.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.02, 1.43, 8.49], \"size_3d\": [1.89, 0.48, 1.2]}]\n```" + } + ] + }, + { + "id": 546, + "data_source": "Mono3DRefer", + "scene_name": "002032", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [592.41, 181.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.78, 1.55, 72.36], \"size_3d\": [1.45, 1.59, 4.28]}]\n```" + } + ] + }, + { + "id": 547, + "data_source": "Mono3DRefer", + "scene_name": "002032", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [729.60, 181.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [10.66, 1.49, 64.43], \"size_3d\": [1.43, 1.59, 4.21]}]\n```" + } + ] + }, + { + "id": 548, + "data_source": "Mono3DRefer", + "scene_name": "002033", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [697.36, 213.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.61, 1.51, 13.72], \"size_3d\": [1.47, 1.77, 4.49]}]\n```" + } + ] + }, + { + "id": 549, + "data_source": "Mono3DRefer", + "scene_name": "002033", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [561.00, 195.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.34, 2.32, 48.74], \"size_3d\": [1.52, 1.62, 4.5]}]\n```" + } + ] + }, + { + "id": 550, + "data_source": "Mono3DRefer", + "scene_name": "002033", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [471.48, 199.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.93, 2.42, 46.35], \"size_3d\": [1.42, 1.66, 4.5]}]\n```" + } + ] + }, + { + "id": 551, + "data_source": "Mono3DRefer", + "scene_name": "002038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1168.55, 213.09]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [12.09, 1.7, 15.68], \"size_3d\": [1.65, 1.67, 3.64]}]\n```" + } + ] + }, + { + "id": 552, + "data_source": "Mono3DRefer", + "scene_name": "002038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [24.87, 232.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.42, 1.76, 9.08], \"size_3d\": [2.01, 1.66, 4.35]}]\n```" + } + ] + }, + { + "id": 553, + "data_source": "Mono3DRefer", + "scene_name": "002038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [706.47, 213.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.26, 1.77, 17.27], \"size_3d\": [1.59, 1.55, 3.93]}]\n```" + } + ] + }, + { + "id": 554, + "data_source": "Mono3DRefer", + "scene_name": "002038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [930.33, 202.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [11.02, 1.75, 24.92], \"size_3d\": [1.47, 1.57, 4.24]}]\n```" + } + ] + }, + { + "id": 555, + "data_source": "Mono3DRefer", + "scene_name": "002038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1046.88, 196.56]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [19.67, 1.77, 32.55], \"size_3d\": [1.4, 1.68, 4.45]}]\n```" + } + ] + }, + { + "id": 556, + "data_source": "Mono3DRefer", + "scene_name": "002038", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1109.89, 194.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [25.55, 1.81, 36.93], \"size_3d\": [1.45, 1.62, 3.77]}]\n```" + } + ] + }, + { + "id": 557, + "data_source": "Mono3DRefer", + "scene_name": "002041", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [316.15, 238.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.16, 1.77, 10.08], \"size_3d\": [1.7, 1.5, 3.34]}]\n```" + } + ] + }, + { + "id": 558, + "data_source": "Mono3DRefer", + "scene_name": "002041", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [379.55, 224.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.82, 1.81, 14.93], \"size_3d\": [1.48, 1.71, 3.93]}]\n```" + } + ] + }, + { + "id": 559, + "data_source": "Mono3DRefer", + "scene_name": "002041", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [875.58, 171.38]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [19.92, 0.69, 54.19], \"size_3d\": [1.6, 1.75, 4.63]}]\n```" + } + ] + }, + { + "id": 560, + "data_source": "Mono3DRefer", + "scene_name": "002041", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1232.07, 318.16]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.73, 1.64, 4.39], \"size_3d\": [1.51, 1.58, 3.31]}]\n```" + } + ] + }, + { + "id": 561, + "data_source": "Mono3DRefer", + "scene_name": "002041", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1098.61, 236.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.71, 1.56, 8.51], \"size_3d\": [1.61, 1.6, 3.11]}]\n```" + } + ] + }, + { + "id": 562, + "data_source": "Mono3DRefer", + "scene_name": "002041", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [815.07, 195.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.68, 1.52, 20.15], \"size_3d\": [1.79, 1.69, 4.72]}]\n```" + } + ] + }, + { + "id": 563, + "data_source": "Mono3DRefer", + "scene_name": "002041", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1105.32, 190.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [16.02, 1.3, 23.4], \"size_3d\": [1.43, 1.7, 3.95]}]\n```" + } + ] + }, + { + "id": 564, + "data_source": "Mono3DRefer", + "scene_name": "002064", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [326.54, 239.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.05, 1.74, 10.17], \"size_3d\": [1.59, 1.63, 3.83]}]\n```" + } + ] + }, + { + "id": 565, + "data_source": "Mono3DRefer", + "scene_name": "002064", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [676.93, 185.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.4, 1.44, 37.05], \"size_3d\": [1.62, 1.7, 3.29]}]\n```" + } + ] + }, + { + "id": 566, + "data_source": "Mono3DRefer", + "scene_name": "002094", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [799.95, 201.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.73, 1.73, 21.94], \"size_3d\": [1.74, 0.75, 0.64]}]\n```" + } + ] + }, + { + "id": 567, + "data_source": "Mono3DRefer", + "scene_name": "002094", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [57.51, 219.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-14.4, 2.0, 18.74], \"size_3d\": [1.58, 1.82, 3.87]}]\n```" + } + ] + }, + { + "id": 568, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [1112.11, 286.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.81, 1.47, 3.99], \"size_3d\": [1.74, 0.52, 0.83]}]\n```" + } + ] + }, + { + "id": 569, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [1075.55, 316.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.21, 1.47, 3.4], \"size_3d\": [1.63, 0.63, 0.72]}]\n```" + } + ] + }, + { + "id": 570, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [631.91, 245.50]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.17, 1.4, 5.85], \"size_3d\": [1.72, 0.49, 0.93]}]\n```" + } + ] + }, + { + "id": 571, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [549.39, 249.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.47, 1.41, 5.29], \"size_3d\": [1.79, 0.65, 0.76]}]\n```" + } + ] + }, + { + "id": 572, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [694.11, 246.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.75, 1.42, 6.36], \"size_3d\": [1.64, 0.56, 0.94]}]\n```" + } + ] + }, + { + "id": 573, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [561.26, 182.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.04, 0.89, 16.17], \"size_3d\": [1.68, 0.45, 0.75]}]\n```" + } + ] + }, + { + "id": 574, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [537.92, 186.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.94, 1.16, 20.08], \"size_3d\": [1.95, 0.63, 0.74]}]\n```" + } + ] + }, + { + "id": 575, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [560.03, 173.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.31, 0.66, 20.05], \"size_3d\": [1.71, 0.6, 0.52]}]\n```" + } + ] + }, + { + "id": 576, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [604.10, 174.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.06, 0.63, 19.96], \"size_3d\": [1.59, 0.46, 0.67]}]\n```" + } + ] + }, + { + "id": 577, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [342.78, 170.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.54, 0.59, 22.94], \"size_3d\": [1.84, 0.51, 1.61]}]\n```" + } + ] + }, + { + "id": 578, + "data_source": "Mono3DRefer", + "scene_name": "002156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [530.45, 164.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.26, 0.17, 30.72], \"size_3d\": [1.74, 0.57, 1.44]}]\n```" + } + ] + }, + { + "id": 579, + "data_source": "Mono3DRefer", + "scene_name": "002240", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [157.65, 235.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.26, 1.89, 13.09], \"size_3d\": [1.52, 1.64, 3.7]}]\n```" + } + ] + }, + { + "id": 580, + "data_source": "Mono3DRefer", + "scene_name": "002240", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [281.85, 221.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.35, 1.99, 18.25], \"size_3d\": [1.5, 1.62, 3.69]}]\n```" + } + ] + }, + { + "id": 581, + "data_source": "Mono3DRefer", + "scene_name": "002240", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [972.24, 174.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [20.53, 0.87, 40.96], \"size_3d\": [1.51, 1.7, 4.45]}]\n```" + } + ] + }, + { + "id": 582, + "data_source": "Mono3DRefer", + "scene_name": "002242", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [506.36, 207.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.47, 1.88, 23.84], \"size_3d\": [1.45, 1.77, 4.04]}]\n```" + } + ] + }, + { + "id": 583, + "data_source": "Mono3DRefer", + "scene_name": "002244", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [559.48, 190.20]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.87, 2.17, 54.89], \"size_3d\": [1.7, 1.72, 4.11]}]\n```" + } + ] + }, + { + "id": 584, + "data_source": "Mono3DRefer", + "scene_name": "002320", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: motorcyclist, the coordinate of center point in the image: [163.00, 326.51]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.5, 1.68, 3.94], \"size_3d\": [1.68, 0.7, 1.57]}]\n```" + } + ] + }, + { + "id": 585, + "data_source": "Mono3DRefer", + "scene_name": "002320", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [633.95, 176.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.4, 0.99, 43.18], \"size_3d\": [1.5, 1.62, 4.19]}]\n```" + } + ] + }, + { + "id": 586, + "data_source": "Mono3DRefer", + "scene_name": "002361", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [946.27, 263.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.39, 1.62, 7.39], \"size_3d\": [1.39, 1.59, 3.17]}]\n```" + } + ] + }, + { + "id": 587, + "data_source": "Mono3DRefer", + "scene_name": "002361", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [803.46, 246.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.51, 1.71, 9.56], \"size_3d\": [1.46, 1.55, 4.28]}]\n```" + } + ] + }, + { + "id": 588, + "data_source": "Mono3DRefer", + "scene_name": "002361", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [534.67, 227.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.67, 1.92, 15.51], \"size_3d\": [1.49, 1.66, 4.16]}]\n```" + } + ] + }, + { + "id": 589, + "data_source": "Mono3DRefer", + "scene_name": "002361", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [433.12, 214.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.78, 2.04, 19.3], \"size_3d\": [1.85, 1.68, 4.34]}]\n```" + } + ] + }, + { + "id": 590, + "data_source": "Mono3DRefer", + "scene_name": "002410", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [630.40, 235.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.22, 1.51, 7.53], \"size_3d\": [1.84, 0.45, 1.19]}]\n```" + } + ] + }, + { + "id": 591, + "data_source": "Mono3DRefer", + "scene_name": "002355", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [409.95, 197.75]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.79, 1.87, 20.71], \"size_3d\": [2.31, 1.82, 4.81]}]\n```" + } + ] + }, + { + "id": 592, + "data_source": "Mono3DRefer", + "scene_name": "002355", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [191.72, 223.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.57, 2.2, 21.6], \"size_3d\": [1.35, 1.5, 3.64]}]\n```" + } + ] + }, + { + "id": 593, + "data_source": "Mono3DRefer", + "scene_name": "002417", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [570.26, 186.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.69, 1.95, 66.65], \"size_3d\": [1.45, 1.77, 4.04]}]\n```" + } + ] + }, + { + "id": 594, + "data_source": "Mono3DRefer", + "scene_name": "002434", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [81.51, 216.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.95, 2.07, 21.71], \"size_3d\": [1.49, 1.76, 4.01]}]\n```" + } + ] + }, + { + "id": 595, + "data_source": "Mono3DRefer", + "scene_name": "002434", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [277.89, 203.38]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-16.03, 2.16, 34.74], \"size_3d\": [1.38, 1.8, 3.41]}]\n```" + } + ] + }, + { + "id": 596, + "data_source": "Mono3DRefer", + "scene_name": "002469", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [545.02, 184.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.44, 1.82, 60.15], \"size_3d\": [1.65, 1.56, 3.98]}]\n```" + } + ] + }, + { + "id": 597, + "data_source": "Mono3DRefer", + "scene_name": "002515", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [447.04, 230.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.93, 1.85, 12.74], \"size_3d\": [1.65, 1.75, 3.39]}]\n```" + } + ] + }, + { + "id": 598, + "data_source": "Mono3DRefer", + "scene_name": "002515", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [497.11, 212.64]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.21, 1.9, 20.21], \"size_3d\": [1.57, 1.54, 4.01]}]\n```" + } + ] + }, + { + "id": 599, + "data_source": "Mono3DRefer", + "scene_name": "002518", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [462.15, 209.45]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.61, 1.98, 22.27], \"size_3d\": [1.7, 1.72, 4.11]}]\n```" + } + ] + }, + { + "id": 600, + "data_source": "Mono3DRefer", + "scene_name": "002550", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [300.28, 279.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.59, 1.7, 5.9], \"size_3d\": [1.65, 1.75, 3.39]}]\n```" + } + ] + }, + { + "id": 601, + "data_source": "Mono3DRefer", + "scene_name": "002550", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [470.24, 223.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.64, 1.72, 13.36], \"size_3d\": [1.57, 1.54, 4.01]}]\n```" + } + ] + }, + { + "id": 602, + "data_source": "Mono3DRefer", + "scene_name": "002608", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [488.23, 220.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.6, 2.22, 21.05], \"size_3d\": [1.65, 1.75, 3.39]}]\n```" + } + ] + }, + { + "id": 603, + "data_source": "Mono3DRefer", + "scene_name": "002608", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [507.14, 212.01]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.1, 2.33, 28.46], \"size_3d\": [1.57, 1.54, 4.01]}]\n```" + } + ] + }, + { + "id": 604, + "data_source": "Mono3DRefer", + "scene_name": "002660", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [225.46, 225.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.93, 1.9, 16.66], \"size_3d\": [1.36, 1.68, 4.49]}]\n```" + } + ] + }, + { + "id": 605, + "data_source": "Mono3DRefer", + "scene_name": "002672", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [706.99, 195.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.24, 2.24, 46.65], \"size_3d\": [1.54, 1.63, 3.67]}]\n```" + } + ] + }, + { + "id": 606, + "data_source": "Mono3DRefer", + "scene_name": "002672", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [74.35, 259.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.76, 1.87, 9.03], \"size_3d\": [1.56, 1.59, 3.69]}]\n```" + } + ] + }, + { + "id": 607, + "data_source": "Mono3DRefer", + "scene_name": "002672", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [281.93, 222.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.25, 1.91, 13.63], \"size_3d\": [1.93, 1.59, 4.01]}]\n```" + } + ] + }, + { + "id": 608, + "data_source": "Mono3DRefer", + "scene_name": "002672", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [768.04, 216.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.8, 1.85, 17.57], \"size_3d\": [1.58, 1.67, 3.84]}]\n```" + } + ] + }, + { + "id": 609, + "data_source": "Mono3DRefer", + "scene_name": "002672", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [648.52, 195.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.4, 2.19, 45.55], \"size_3d\": [1.53, 1.67, 3.78]}]\n```" + } + ] + }, + { + "id": 610, + "data_source": "Mono3DRefer", + "scene_name": "002672", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [751.90, 202.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.34, 1.93, 22.3], \"size_3d\": [2.05, 1.5, 3.83]}]\n```" + } + ] + }, + { + "id": 611, + "data_source": "Mono3DRefer", + "scene_name": "002750", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [870.19, 209.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.49, 1.65, 18.13], \"size_3d\": [1.48, 1.51, 4.35]}]\n```" + } + ] + }, + { + "id": 612, + "data_source": "Mono3DRefer", + "scene_name": "002750", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1134.32, 188.63]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [27.87, 1.57, 38.4], \"size_3d\": [1.46, 1.74, 3.99]}]\n```" + } + ] + }, + { + "id": 613, + "data_source": "Mono3DRefer", + "scene_name": "002750", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [937.69, 205.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [10.11, 1.71, 22.36], \"size_3d\": [1.42, 1.68, 4.29]}]\n```" + } + ] + }, + { + "id": 614, + "data_source": "Mono3DRefer", + "scene_name": "002750", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1001.90, 197.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [15.27, 1.65, 28.19], \"size_3d\": [1.36, 1.4, 3.8]}]\n```" + } + ] + }, + { + "id": 615, + "data_source": "Mono3DRefer", + "scene_name": "002750", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [1091.84, 177.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [29.9, 1.57, 44.82], \"size_3d\": [2.52, 2.1, 5.64]}]\n```" + } + ] + }, + { + "id": 616, + "data_source": "Mono3DRefer", + "scene_name": "002750", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1065.80, 190.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [24.28, 1.68, 38.49], \"size_3d\": [1.44, 1.65, 2.96]}]\n```" + } + ] + }, + { + "id": 617, + "data_source": "Mono3DRefer", + "scene_name": "002766", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [551.04, 188.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.76, 1.99, 45.62], \"size_3d\": [1.97, 1.87, 4.53]}]\n```" + } + ] + }, + { + "id": 618, + "data_source": "Mono3DRefer", + "scene_name": "002766", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [568.38, 184.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.04, 1.96, 69.73], \"size_3d\": [1.7, 1.53, 3.82]}]\n```" + } + ] + }, + { + "id": 619, + "data_source": "Mono3DRefer", + "scene_name": "002769", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [548.39, 228.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.75, 1.45, 8.75], \"size_3d\": [1.71, 0.45, 1.08]}]\n```" + } + ] + }, + { + "id": 620, + "data_source": "Mono3DRefer", + "scene_name": "002770", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [111.79, 333.13]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.18, 1.89, 4.52], \"size_3d\": [1.77, 1.75, 4.67]}]\n```" + } + ] + }, + { + "id": 621, + "data_source": "Mono3DRefer", + "scene_name": "002770", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [472.75, 220.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.95, 1.81, 15.24], \"size_3d\": [1.6, 1.68, 3.94]}]\n```" + } + ] + }, + { + "id": 622, + "data_source": "Mono3DRefer", + "scene_name": "002770", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [569.77, 191.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.5, 1.86, 44.25], \"size_3d\": [1.42, 1.66, 4.11]}]\n```" + } + ] + }, + { + "id": 623, + "data_source": "Mono3DRefer", + "scene_name": "002784", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [548.39, 196.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.03, 2.39, 46.83], \"size_3d\": [1.68, 1.63, 3.9]}]\n```" + } + ] + }, + { + "id": 624, + "data_source": "Mono3DRefer", + "scene_name": "002787", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [821.00, 199.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.39, 1.33, 11.77], \"size_3d\": [1.79, 1.72, 4.35]}]\n```" + } + ] + }, + { + "id": 625, + "data_source": "Mono3DRefer", + "scene_name": "002787", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [369.85, 231.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.25, 1.75, 12.61], \"size_3d\": [1.45, 1.49, 4.07]}]\n```" + } + ] + }, + { + "id": 626, + "data_source": "Mono3DRefer", + "scene_name": "002787", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [459.21, 207.76]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.43, 1.65, 20.97], \"size_3d\": [1.27, 1.54, 3.58]}]\n```" + } + ] + }, + { + "id": 627, + "data_source": "Mono3DRefer", + "scene_name": "002787", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [485.79, 194.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.75, 1.65, 27.34], \"size_3d\": [1.63, 1.65, 3.91]}]\n```" + } + ] + }, + { + "id": 628, + "data_source": "Mono3DRefer", + "scene_name": "002787", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [602.18, 182.40]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.5, 1.3, 43.04], \"size_3d\": [1.46, 1.53, 3.17]}]\n```" + } + ] + }, + { + "id": 629, + "data_source": "Mono3DRefer", + "scene_name": "002787", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [586.46, 179.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.44, 1.25, 43.11], \"size_3d\": [1.68, 0.5, 0.42]}]\n```" + } + ] + }, + { + "id": 630, + "data_source": "Mono3DRefer", + "scene_name": "002791", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [631.66, 199.69]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.06, 2.08, 36.56], \"size_3d\": [1.44, 1.66, 4.53]}]\n```" + } + ] + }, + { + "id": 631, + "data_source": "Mono3DRefer", + "scene_name": "002791", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [690.66, 197.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.67, 2.14, 33.18], \"size_3d\": [2.02, 1.7, 4.6]}]\n```" + } + ] + }, + { + "id": 632, + "data_source": "Mono3DRefer", + "scene_name": "002791", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [565.70, 184.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.83, 3.03, 78.48], \"size_3d\": [3.46, 2.57, 14.66]}]\n```" + } + ] + }, + { + "id": 633, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [866.69, 239.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.76, 1.61, 7.91], \"size_3d\": [1.76, 1.71, 4.35]}]\n```" + } + ] + }, + { + "id": 634, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-283.04, 303.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.36, 1.68, 5.09], \"size_3d\": [1.52, 1.71, 4.49]}]\n```" + } + ] + }, + { + "id": 635, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [4.64, 266.59]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.35, 1.72, 7.5], \"size_3d\": [1.49, 1.61, 3.87]}]\n```" + } + ] + }, + { + "id": 636, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [149.67, 233.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.48, 1.6, 10.07], \"size_3d\": [1.5, 1.58, 3.47]}]\n```" + } + ] + }, + { + "id": 637, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [297.11, 206.92]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.34, 1.66, 14.5], \"size_3d\": [1.95, 1.64, 4.57]}]\n```" + } + ] + }, + { + "id": 638, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [245.62, 221.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.24, 1.66, 12.25], \"size_3d\": [1.66, 1.58, 3.31]}]\n```" + } + ] + }, + { + "id": 639, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [768.95, 217.99]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.87, 1.55, 13.26], \"size_3d\": [1.44, 1.66, 3.25]}]\n```" + } + ] + }, + { + "id": 640, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [327.71, 202.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.6, 1.62, 16.74], \"size_3d\": [1.87, 1.61, 3.53]}]\n```" + } + ] + }, + { + "id": 641, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [375.84, 209.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.16, 1.75, 18.83], \"size_3d\": [1.59, 1.56, 3.5]}]\n```" + } + ] + }, + { + "id": 642, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [387.73, 199.98]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.68, 1.67, 21.53], \"size_3d\": [1.72, 1.65, 4.33]}]\n```" + } + ] + }, + { + "id": 643, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [449.70, 188.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.53, 1.4, 29.2], \"size_3d\": [1.57, 1.54, 4.1]}]\n```" + } + ] + }, + { + "id": 644, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [474.87, 183.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.42, 1.44, 34.07], \"size_3d\": [1.89, 1.59, 3.87]}]\n```" + } + ] + }, + { + "id": 645, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [673.78, 191.01]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.68, 1.5, 30.78], \"size_3d\": [1.45, 1.59, 3.59]}]\n```" + } + ] + }, + { + "id": 646, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [722.17, 204.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.87, 1.6, 18.77], \"size_3d\": [1.54, 1.67, 3.72]}]\n```" + } + ] + }, + { + "id": 647, + "data_source": "Mono3DRefer", + "scene_name": "002815", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [655.77, 181.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.6, 1.32, 41.53], \"size_3d\": [1.66, 1.74, 3.65]}]\n```" + } + ] + }, + { + "id": 648, + "data_source": "Mono3DRefer", + "scene_name": "002829", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [412.50, 269.97]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.21, 1.75, 7.87], \"size_3d\": [1.38, 1.43, 3.64]}]\n```" + } + ] + }, + { + "id": 649, + "data_source": "Mono3DRefer", + "scene_name": "002829", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [537.28, 229.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.14, 1.74, 10.78], \"size_3d\": [1.79, 0.47, 1.75]}]\n```" + } + ] + }, + { + "id": 650, + "data_source": "Mono3DRefer", + "scene_name": "002829", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [755.68, 209.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.27, 1.64, 16.44], \"size_3d\": [1.62, 1.47, 3.66]}]\n```" + } + ] + }, + { + "id": 651, + "data_source": "Mono3DRefer", + "scene_name": "002835", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [561.06, 189.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.62, 1.97, 52.96], \"size_3d\": [1.44, 1.72, 4.14]}]\n```" + } + ] + }, + { + "id": 652, + "data_source": "Mono3DRefer", + "scene_name": "002836", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: bus, the coordinate of center point in the image: [604.15, 178.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.63, 2.06, 76.08], \"size_3d\": [2.85, 2.63, 12.34]}]\n```" + } + ] + }, + { + "id": 653, + "data_source": "Mono3DRefer", + "scene_name": "002836", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [936.10, 190.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [17.03, 1.63, 37.76], \"size_3d\": [1.42, 1.58, 3.48]}]\n```" + } + ] + }, + { + "id": 654, + "data_source": "Mono3DRefer", + "scene_name": "002836", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [361.78, 197.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.83, 2.8, 60.48], \"size_3d\": [1.41, 1.85, 4.7]}]\n```" + } + ] + }, + { + "id": 655, + "data_source": "Mono3DRefer", + "scene_name": "002879", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [407.52, 218.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.9, 1.57, 10.14], \"size_3d\": [1.85, 1.84, 4.06]}]\n```" + } + ] + }, + { + "id": 656, + "data_source": "Mono3DRefer", + "scene_name": "002879", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [815.86, 231.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.72, 1.67, 9.72], \"size_3d\": [1.77, 1.63, 3.76]}]\n```" + } + ] + }, + { + "id": 657, + "data_source": "Mono3DRefer", + "scene_name": "002879", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [517.46, 204.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.47, 1.57, 18.88], \"size_3d\": [1.46, 1.63, 4.47]}]\n```" + } + ] + }, + { + "id": 658, + "data_source": "Mono3DRefer", + "scene_name": "002879", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [538.72, 190.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.5, 1.54, 24.85], \"size_3d\": [1.85, 1.7, 4.35]}]\n```" + } + ] + }, + { + "id": 659, + "data_source": "Mono3DRefer", + "scene_name": "002879", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [559.83, 187.19]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.14, 1.45, 30.18], \"size_3d\": [1.7, 1.82, 4.45]}]\n```" + } + ] + }, + { + "id": 660, + "data_source": "Mono3DRefer", + "scene_name": "002879", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [638.76, 181.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.66, 1.29, 42.49], \"size_3d\": [1.57, 1.56, 2.62]}]\n```" + } + ] + }, + { + "id": 661, + "data_source": "Mono3DRefer", + "scene_name": "002879", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-126.26, 271.93]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.11, 1.55, 5.93], \"size_3d\": [1.47, 1.68, 4.26]}]\n```" + } + ] + }, + { + "id": 662, + "data_source": "Mono3DRefer", + "scene_name": "002910", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [690.75, 211.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.94, 1.63, 17.77], \"size_3d\": [1.38, 1.51, 4.1]}]\n```" + } + ] + }, + { + "id": 663, + "data_source": "Mono3DRefer", + "scene_name": "002910", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [956.00, 251.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.12, 1.52, 6.62], \"size_3d\": [1.6, 1.66, 3.55]}]\n```" + } + ] + }, + { + "id": 664, + "data_source": "Mono3DRefer", + "scene_name": "002941", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [537.55, 196.92]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.68, 2.05, 36.27], \"size_3d\": [1.68, 1.63, 3.9]}]\n```" + } + ] + }, + { + "id": 665, + "data_source": "Mono3DRefer", + "scene_name": "002941", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [508.57, 191.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.55, 2.14, 53.51], \"size_3d\": [1.47, 1.7, 4.39]}]\n```" + } + ] + }, + { + "id": 666, + "data_source": "Mono3DRefer", + "scene_name": "002958", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [842.05, 238.29]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.87, 1.53, 9.09], \"size_3d\": [1.41, 1.58, 4.36]}]\n```" + } + ] + }, + { + "id": 667, + "data_source": "Mono3DRefer", + "scene_name": "002959", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1287.17, 390.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.07, 1.76, 3.33], \"size_3d\": [1.51, 1.56, 3.81]}]\n```" + } + ] + }, + { + "id": 668, + "data_source": "Mono3DRefer", + "scene_name": "002959", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [871.84, 254.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.06, 1.76, 8.58], \"size_3d\": [1.57, 1.68, 3.83]}]\n```" + } + ] + }, + { + "id": 669, + "data_source": "Mono3DRefer", + "scene_name": "002959", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [750.82, 201.64]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.03, 1.82, 15.78], \"size_3d\": [2.38, 1.98, 5.62]}]\n```" + } + ] + }, + { + "id": 670, + "data_source": "Mono3DRefer", + "scene_name": "002959", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [501.79, 204.03]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.17, 1.66, 20.82], \"size_3d\": [1.52, 1.5, 3.85]}]\n```" + } + ] + }, + { + "id": 671, + "data_source": "Mono3DRefer", + "scene_name": "002959", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [693.77, 201.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.08, 1.77, 26.9], \"size_3d\": [1.43, 1.59, 3.68]}]\n```" + } + ] + }, + { + "id": 672, + "data_source": "Mono3DRefer", + "scene_name": "002959", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [537.66, 192.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.42, 1.58, 33.72], \"size_3d\": [1.29, 1.59, 4.12]}]\n```" + } + ] + }, + { + "id": 673, + "data_source": "Mono3DRefer", + "scene_name": "002959", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [554.96, 187.93]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.21, 1.63, 41.63], \"size_3d\": [1.52, 1.61, 3.59]}]\n```" + } + ] + }, + { + "id": 674, + "data_source": "Mono3DRefer", + "scene_name": "002959", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [661.82, 190.24]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.02, 1.78, 42.52], \"size_3d\": [1.51, 1.65, 4.28]}]\n```" + } + ] + }, + { + "id": 675, + "data_source": "Mono3DRefer", + "scene_name": "003015", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [437.39, 192.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.34, 2.04, 38.89], \"size_3d\": [2.0, 1.82, 4.43]}]\n```" + } + ] + }, + { + "id": 676, + "data_source": "Mono3DRefer", + "scene_name": "003015", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [544.16, 223.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.29, 1.83, 13.57], \"size_3d\": [1.74, 0.82, 1.79]}]\n```" + } + ] + }, + { + "id": 677, + "data_source": "Mono3DRefer", + "scene_name": "003015", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [831.61, 238.64]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.96, 1.65, 9.81], \"size_3d\": [1.51, 1.69, 4.04]}]\n```" + } + ] + }, + { + "id": 678, + "data_source": "Mono3DRefer", + "scene_name": "003015", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [661.79, 225.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.94, 1.73, 13.81], \"size_3d\": [1.46, 1.58, 3.93]}]\n```" + } + ] + }, + { + "id": 679, + "data_source": "Mono3DRefer", + "scene_name": "003015", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [237.85, 238.38]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.83, 2.12, 15.08], \"size_3d\": [1.5, 1.68, 4.03]}]\n```" + } + ] + }, + { + "id": 680, + "data_source": "Mono3DRefer", + "scene_name": "003015", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [285.72, 221.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.19, 2.25, 20.34], \"size_3d\": [1.77, 1.71, 4.31]}]\n```" + } + ] + }, + { + "id": 681, + "data_source": "Mono3DRefer", + "scene_name": "003015", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [578.65, 210.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.94, 1.88, 20.54], \"size_3d\": [1.6, 1.7, 3.56]}]\n```" + } + ] + }, + { + "id": 682, + "data_source": "Mono3DRefer", + "scene_name": "003015", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [548.34, 204.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.21, 1.88, 25.34], \"size_3d\": [1.52, 1.73, 3.89]}]\n```" + } + ] + }, + { + "id": 683, + "data_source": "Mono3DRefer", + "scene_name": "003015", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [312.25, 212.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-10.42, 2.11, 25.14], \"size_3d\": [1.44, 1.6, 3.79]}]\n```" + } + ] + }, + { + "id": 684, + "data_source": "Mono3DRefer", + "scene_name": "003015", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [514.92, 205.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.07, 2.05, 30.57], \"size_3d\": [1.37, 1.51, 3.49]}]\n```" + } + ] + }, + { + "id": 685, + "data_source": "Mono3DRefer", + "scene_name": "003049", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [337.36, 210.20]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.73, 1.87, 22.98], \"size_3d\": [1.36, 1.68, 4.49]}]\n```" + } + ] + }, + { + "id": 686, + "data_source": "Mono3DRefer", + "scene_name": "003062", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [489.05, 219.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.08, 1.9, 18.08], \"size_3d\": [1.46, 1.75, 4.23]}]\n```" + } + ] + }, + { + "id": 687, + "data_source": "Mono3DRefer", + "scene_name": "003062", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [609.45, 219.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.07, 5.65, 68.86], \"size_3d\": [2.48, 2.2, 5.33]}]\n```" + } + ] + }, + { + "id": 688, + "data_source": "Mono3DRefer", + "scene_name": "003076", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [418.26, 197.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-10.13, 2.0, 37.98], \"size_3d\": [1.45, 1.62, 3.83]}]\n```" + } + ] + }, + { + "id": 689, + "data_source": "Mono3DRefer", + "scene_name": "003103", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [472.81, 214.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.96, 1.73, 15.3], \"size_3d\": [1.7, 1.63, 4.08]}]\n```" + } + ] + }, + { + "id": 690, + "data_source": "Mono3DRefer", + "scene_name": "003103", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1213.89, 382.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.43, 1.66, 2.97], \"size_3d\": [1.59, 1.59, 2.47]}]\n```" + } + ] + }, + { + "id": 691, + "data_source": "Mono3DRefer", + "scene_name": "003103", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [534.39, 234.99]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.13, 1.79, 10.27], \"size_3d\": [1.81, 0.55, 1.19]}]\n```" + } + ] + }, + { + "id": 692, + "data_source": "Mono3DRefer", + "scene_name": "003103", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [844.71, 264.38]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.47, 1.67, 7.76], \"size_3d\": [1.37, 1.59, 3.22]}]\n```" + } + ] + }, + { + "id": 693, + "data_source": "Mono3DRefer", + "scene_name": "003103", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [528.15, 205.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.68, 1.75, 23.22], \"size_3d\": [1.4, 1.67, 3.72]}]\n```" + } + ] + }, + { + "id": 694, + "data_source": "Mono3DRefer", + "scene_name": "003103", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [657.55, 191.09]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.61, 1.76, 40.14], \"size_3d\": [1.49, 1.61, 3.74]}]\n```" + } + ] + }, + { + "id": 695, + "data_source": "Mono3DRefer", + "scene_name": "003103", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [581.44, 181.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.35, 1.6, 58.76], \"size_3d\": [1.85, 1.84, 4.06]}]\n```" + } + ] + }, + { + "id": 696, + "data_source": "Mono3DRefer", + "scene_name": "003103", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [39.71, 230.13]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.17, 1.51, 9.0], \"size_3d\": [1.59, 1.63, 4.43]}]\n```" + } + ] + }, + { + "id": 697, + "data_source": "Mono3DRefer", + "scene_name": "003111", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [717.31, 213.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.4, 1.62, 16.47], \"size_3d\": [1.38, 1.51, 4.1]}]\n```" + } + ] + }, + { + "id": 698, + "data_source": "Mono3DRefer", + "scene_name": "003111", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1054.03, 262.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.49, 1.52, 5.76], \"size_3d\": [1.6, 1.66, 3.55]}]\n```" + } + ] + }, + { + "id": 699, + "data_source": "Mono3DRefer", + "scene_name": "003117", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [381.51, 210.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-12.39, 2.84, 39.01], \"size_3d\": [1.65, 1.75, 3.39]}]\n```" + } + ] + }, + { + "id": 700, + "data_source": "Mono3DRefer", + "scene_name": "003117", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [267.79, 292.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.05, 1.78, 6.31], \"size_3d\": [1.47, 1.7, 4.39]}]\n```" + } + ] + }, + { + "id": 701, + "data_source": "Mono3DRefer", + "scene_name": "003153", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [531.92, 205.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.99, 1.98, 27.23], \"size_3d\": [1.5, 1.7, 3.77]}]\n```" + } + ] + }, + { + "id": 702, + "data_source": "Mono3DRefer", + "scene_name": "003158", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [478.24, 218.40]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.36, 1.87, 18.13], \"size_3d\": [1.45, 1.53, 3.98]}]\n```" + } + ] + }, + { + "id": 703, + "data_source": "Mono3DRefer", + "scene_name": "003158", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [293.00, 214.02]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-10.13, 2.11, 22.95], \"size_3d\": [1.6, 0.54, 1.5]}]\n```" + } + ] + }, + { + "id": 704, + "data_source": "Mono3DRefer", + "scene_name": "003202", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [119.55, 230.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.51, 1.93, 12.44], \"size_3d\": [1.87, 0.96, 0.65]}]\n```" + } + ] + }, + { + "id": 705, + "data_source": "Mono3DRefer", + "scene_name": "003233", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [903.02, 230.25]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.16, 1.44, 7.64], \"size_3d\": [1.84, 1.71, 3.72]}]\n```" + } + ] + }, + { + "id": 706, + "data_source": "Mono3DRefer", + "scene_name": "003233", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [431.31, 165.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-11.57, 0.74, 48.9], \"size_3d\": [3.68, 2.79, 12.71]}]\n```" + } + ] + }, + { + "id": 707, + "data_source": "Mono3DRefer", + "scene_name": "003233", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: person_sitting, the coordinate of center point in the image: [456.61, 234.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.2, 1.45, 10.69], \"size_3d\": [1.32, 0.7, 0.75]}]\n```" + } + ] + }, + { + "id": 708, + "data_source": "Mono3DRefer", + "scene_name": "003233", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: person_sitting, the coordinate of center point in the image: [412.62, 234.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.86, 1.44, 10.71], \"size_3d\": [1.3, 0.68, 0.76]}]\n```" + } + ] + }, + { + "id": 709, + "data_source": "Mono3DRefer", + "scene_name": "003233", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: person_sitting, the coordinate of center point in the image: [437.71, 229.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.71, 1.43, 11.7], \"size_3d\": [1.29, 0.59, 0.64]}]\n```" + } + ] + }, + { + "id": 710, + "data_source": "Mono3DRefer", + "scene_name": "003233", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: person_sitting, the coordinate of center point in the image: [463.11, 218.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.69, 1.36, 13.76], \"size_3d\": [1.31, 0.57, 0.59]}]\n```" + } + ] + }, + { + "id": 711, + "data_source": "Mono3DRefer", + "scene_name": "003233", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [296.46, 221.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.66, 1.51, 10.87], \"size_3d\": [1.82, 0.64, 0.58]}]\n```" + } + ] + }, + { + "id": 712, + "data_source": "Mono3DRefer", + "scene_name": "003233", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [290.54, 216.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.03, 1.47, 11.52], \"size_3d\": [1.82, 0.56, 0.51]}]\n```" + } + ] + }, + { + "id": 713, + "data_source": "Mono3DRefer", + "scene_name": "003257", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [921.67, 276.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.58, 1.61, 6.1], \"size_3d\": [1.46, 1.53, 3.17]}]\n```" + } + ] + }, + { + "id": 714, + "data_source": "Mono3DRefer", + "scene_name": "003257", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [831.28, 266.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.88, 1.66, 6.31], \"size_3d\": [1.68, 0.5, 0.42]}]\n```" + } + ] + }, + { + "id": 715, + "data_source": "Mono3DRefer", + "scene_name": "003257", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [792.08, 202.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.05, 1.74, 24.15], \"size_3d\": [1.52, 1.54, 4.5]}]\n```" + } + ] + }, + { + "id": 716, + "data_source": "Mono3DRefer", + "scene_name": "003257", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [405.11, 226.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.6, 1.99, 16.02], \"size_3d\": [1.59, 1.45, 3.15]}]\n```" + } + ] + }, + { + "id": 717, + "data_source": "Mono3DRefer", + "scene_name": "003257", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [428.83, 228.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.76, 1.98, 14.77], \"size_3d\": [1.68, 0.52, 0.55]}]\n```" + } + ] + }, + { + "id": 718, + "data_source": "Mono3DRefer", + "scene_name": "003257", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [770.34, 188.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.93, 1.9, 40.34], \"size_3d\": [2.07, 1.79, 4.39]}]\n```" + } + ] + }, + { + "id": 719, + "data_source": "Mono3DRefer", + "scene_name": "003271", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [385.25, 236.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.44, 1.81, 10.87], \"size_3d\": [1.7, 1.53, 3.82]}]\n```" + } + ] + }, + { + "id": 720, + "data_source": "Mono3DRefer", + "scene_name": "003271", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [501.84, 208.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.27, 1.8, 21.5], \"size_3d\": [1.5, 1.53, 3.38]}]\n```" + } + ] + }, + { + "id": 721, + "data_source": "Mono3DRefer", + "scene_name": "003271", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [557.73, 192.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.64, 1.76, 35.92], \"size_3d\": [1.56, 1.56, 3.6]}]\n```" + } + ] + }, + { + "id": 722, + "data_source": "Mono3DRefer", + "scene_name": "003366", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [49.00, 224.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-19.5, 2.63, 25.02], \"size_3d\": [1.67, 1.82, 4.42]}]\n```" + } + ] + }, + { + "id": 723, + "data_source": "Mono3DRefer", + "scene_name": "003366", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [270.52, 210.69]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-16.23, 2.62, 34.41], \"size_3d\": [1.63, 1.87, 3.47]}]\n```" + } + ] + }, + { + "id": 724, + "data_source": "Mono3DRefer", + "scene_name": "003422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-67.82, 233.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-16.36, 2.28, 17.36], \"size_3d\": [1.63, 1.87, 3.47]}]\n```" + } + ] + }, + { + "id": 725, + "data_source": "Mono3DRefer", + "scene_name": "003422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [345.89, 200.41]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-16.37, 2.37, 44.63], \"size_3d\": [1.33, 1.72, 3.63]}]\n```" + } + ] + }, + { + "id": 726, + "data_source": "Mono3DRefer", + "scene_name": "003422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [478.45, 188.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-13.61, 2.42, 74.57], \"size_3d\": [1.6, 1.79, 3.91]}]\n```" + } + ] + }, + { + "id": 727, + "data_source": "Mono3DRefer", + "scene_name": "003422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: tram, the coordinate of center point in the image: [527.31, 179.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.85, 2.42, 85.88], \"size_3d\": [3.25, 2.73, 19.74]}]\n```" + } + ] + }, + { + "id": 728, + "data_source": "Mono3DRefer", + "scene_name": "003422", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [705.90, 183.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.06, 1.57, 45.83], \"size_3d\": [1.75, 0.51, 1.52]}]\n```" + } + ] + }, + { + "id": 729, + "data_source": "Mono3DRefer", + "scene_name": "003432", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [269.65, 250.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.99, 1.76, 8.34], \"size_3d\": [1.73, 1.67, 3.94]}]\n```" + } + ] + }, + { + "id": 730, + "data_source": "Mono3DRefer", + "scene_name": "003432", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [509.94, 202.50]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.57, 1.74, 25.42], \"size_3d\": [1.39, 1.48, 3.76]}]\n```" + } + ] + }, + { + "id": 731, + "data_source": "Mono3DRefer", + "scene_name": "003432", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [528.63, 189.83]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.61, 1.65, 31.65], \"size_3d\": [1.81, 1.66, 4.05]}]\n```" + } + ] + }, + { + "id": 732, + "data_source": "Mono3DRefer", + "scene_name": "003432", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [564.99, 183.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.12, 1.48, 49.54], \"size_3d\": [1.46, 1.75, 4.23]}]\n```" + } + ] + }, + { + "id": 733, + "data_source": "Mono3DRefer", + "scene_name": "003439", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [19.80, 349.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.07, 1.74, 3.68], \"size_3d\": [1.68, 1.63, 3.9]}]\n```" + } + ] + }, + { + "id": 734, + "data_source": "Mono3DRefer", + "scene_name": "003439", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [370.63, 200.25]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.8, 2.63, 47.53], \"size_3d\": [1.65, 1.75, 3.39]}]\n```" + } + ] + }, + { + "id": 735, + "data_source": "Mono3DRefer", + "scene_name": "003439", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [434.79, 221.69]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.12, 1.87, 16.76], \"size_3d\": [1.47, 1.7, 4.39]}]\n```" + } + ] + }, + { + "id": 736, + "data_source": "Mono3DRefer", + "scene_name": "003446", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [547.43, 182.92]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.69, 1.9, 77.0], \"size_3d\": [1.65, 1.56, 3.98]}]\n```" + } + ] + }, + { + "id": 737, + "data_source": "Mono3DRefer", + "scene_name": "003480", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [259.75, 279.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.47, 1.53, 5.08], \"size_3d\": [1.67, 0.93, 1.69]}]\n```" + } + ] + }, + { + "id": 738, + "data_source": "Mono3DRefer", + "scene_name": "003480", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [863.35, 205.35]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.73, 1.22, 10.35], \"size_3d\": [1.75, 0.82, 1.14]}]\n```" + } + ] + }, + { + "id": 739, + "data_source": "Mono3DRefer", + "scene_name": "003480", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [584.84, 203.24]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.37, 1.32, 14.33], \"size_3d\": [1.77, 0.94, 0.93]}]\n```" + } + ] + }, + { + "id": 740, + "data_source": "Mono3DRefer", + "scene_name": "003480", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [425.37, 206.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.43, 1.34, 13.83], \"size_3d\": [1.73, 0.67, 0.83]}]\n```" + } + ] + }, + { + "id": 741, + "data_source": "Mono3DRefer", + "scene_name": "003480", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [525.27, 199.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.75, 1.31, 16.16], \"size_3d\": [1.82, 0.8, 0.86]}]\n```" + } + ] + }, + { + "id": 742, + "data_source": "Mono3DRefer", + "scene_name": "003480", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [746.21, 190.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.01, 1.13, 15.12], \"size_3d\": [1.88, 0.78, 1.03]}]\n```" + } + ] + }, + { + "id": 743, + "data_source": "Mono3DRefer", + "scene_name": "003480", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [547.77, 195.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.55, 1.23, 20.34], \"size_3d\": [1.69, 0.66, 1.75]}]\n```" + } + ] + }, + { + "id": 744, + "data_source": "Mono3DRefer", + "scene_name": "003480", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [562.94, 184.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.49, 1.01, 27.43], \"size_3d\": [1.81, 0.73, 0.84]}]\n```" + } + ] + }, + { + "id": 745, + "data_source": "Mono3DRefer", + "scene_name": "003481", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [691.68, 232.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.94, 1.48, 8.07], \"size_3d\": [1.76, 0.45, 1.01]}]\n```" + } + ] + }, + { + "id": 746, + "data_source": "Mono3DRefer", + "scene_name": "003549", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [600.57, 195.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.44, 1.73, 30.52], \"size_3d\": [1.54, 1.63, 3.67]}]\n```" + } + ] + }, + { + "id": 747, + "data_source": "Mono3DRefer", + "scene_name": "003549", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [613.81, 189.38]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.17, 1.78, 39.05], \"size_3d\": [1.77, 1.69, 4.32]}]\n```" + } + ] + }, + { + "id": 748, + "data_source": "Mono3DRefer", + "scene_name": "003549", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1186.35, 331.97]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.02, 1.62, 3.85], \"size_3d\": [1.54, 1.55, 3.51]}]\n```" + } + ] + }, + { + "id": 749, + "data_source": "Mono3DRefer", + "scene_name": "003549", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [729.45, 205.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.85, 1.66, 17.51], \"size_3d\": [1.74, 1.62, 4.13]}]\n```" + } + ] + }, + { + "id": 750, + "data_source": "Mono3DRefer", + "scene_name": "003549", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-14.36, 259.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.81, 1.83, 8.96], \"size_3d\": [1.51, 1.65, 3.94]}]\n```" + } + ] + }, + { + "id": 751, + "data_source": "Mono3DRefer", + "scene_name": "003549", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [695.60, 198.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.98, 1.67, 25.49], \"size_3d\": [1.53, 1.46, 3.26]}]\n```" + } + ] + }, + { + "id": 752, + "data_source": "Mono3DRefer", + "scene_name": "003549", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [660.70, 187.90]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.93, 1.68, 42.18], \"size_3d\": [1.6, 1.56, 3.45]}]\n```" + } + ] + }, + { + "id": 753, + "data_source": "Mono3DRefer", + "scene_name": "003593", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [468.79, 191.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.95, 1.81, 40.44], \"size_3d\": [1.49, 1.64, 3.7]}]\n```" + } + ] + }, + { + "id": 754, + "data_source": "Mono3DRefer", + "scene_name": "003596", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [124.45, 241.16]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.97, 1.96, 13.25], \"size_3d\": [1.41, 1.62, 3.6]}]\n```" + } + ] + }, + { + "id": 755, + "data_source": "Mono3DRefer", + "scene_name": "003604", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [486.53, 211.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.15, 1.72, 18.12], \"size_3d\": [1.5, 1.7, 3.77]}]\n```" + } + ] + }, + { + "id": 756, + "data_source": "Mono3DRefer", + "scene_name": "003604", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [552.40, 182.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.91, 1.43, 48.6], \"size_3d\": [1.57, 1.55, 3.32]}]\n```" + } + ] + }, + { + "id": 757, + "data_source": "Mono3DRefer", + "scene_name": "003617", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [207.94, 226.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.96, 1.42, 8.74], \"size_3d\": [1.71, 0.45, 1.08]}]\n```" + } + ] + }, + { + "id": 758, + "data_source": "Mono3DRefer", + "scene_name": "003651", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [675.99, 203.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.71, 1.6, 19.22], \"size_3d\": [1.56, 1.65, 3.69]}]\n```" + } + ] + }, + { + "id": 759, + "data_source": "Mono3DRefer", + "scene_name": "003651", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1120.06, 248.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.64, 1.39, 6.64], \"size_3d\": [1.39, 1.61, 3.65]}]\n```" + } + ] + }, + { + "id": 760, + "data_source": "Mono3DRefer", + "scene_name": "003651", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [525.98, 194.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.33, 1.71, 28.23], \"size_3d\": [1.76, 1.58, 3.68]}]\n```" + } + ] + }, + { + "id": 761, + "data_source": "Mono3DRefer", + "scene_name": "003651", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [227.17, 218.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.06, 1.86, 16.98], \"size_3d\": [1.56, 1.62, 4.19]}]\n```" + } + ] + }, + { + "id": 762, + "data_source": "Mono3DRefer", + "scene_name": "003651", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [451.17, 200.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.58, 1.85, 29.7], \"size_3d\": [1.42, 1.67, 4.53]}]\n```" + } + ] + }, + { + "id": 763, + "data_source": "Mono3DRefer", + "scene_name": "003651", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [745.53, 181.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.24, 1.3, 44.04], \"size_3d\": [1.54, 1.63, 3.74]}]\n```" + } + ] + }, + { + "id": 764, + "data_source": "Mono3DRefer", + "scene_name": "003651", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [17.19, 225.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-13.28, 1.9, 16.1], \"size_3d\": [1.45, 1.5, 4.53]}]\n```" + } + ] + }, + { + "id": 765, + "data_source": "Mono3DRefer", + "scene_name": "003696", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [709.01, 193.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.74, 1.44, 20.31], \"size_3d\": [1.71, 0.63, 2.12]}]\n```" + } + ] + }, + { + "id": 766, + "data_source": "Mono3DRefer", + "scene_name": "003696", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-239.37, 314.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.64, 1.8, 5.59], \"size_3d\": [1.41, 1.54, 3.6]}]\n```" + } + ] + }, + { + "id": 767, + "data_source": "Mono3DRefer", + "scene_name": "003696", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [497.65, 187.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.42, 1.5, 28.11], \"size_3d\": [1.85, 0.68, 0.98]}]\n```" + } + ] + }, + { + "id": 768, + "data_source": "Mono3DRefer", + "scene_name": "003747", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1037.82, 207.69]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [11.86, 1.74, 20.08], \"size_3d\": [1.54, 1.68, 4.16]}]\n```" + } + ] + }, + { + "id": 769, + "data_source": "Mono3DRefer", + "scene_name": "003747", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [649.33, 204.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.29, 3.1, 42.63], \"size_3d\": [2.48, 2.2, 5.33]}]\n```" + } + ] + }, + { + "id": 770, + "data_source": "Mono3DRefer", + "scene_name": "003747", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [748.33, 213.41]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.97, 2.74, 36.55], \"size_3d\": [1.37, 1.56, 4.19]}]\n```" + } + ] + }, + { + "id": 771, + "data_source": "Mono3DRefer", + "scene_name": "003747", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [563.24, 190.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.4, 2.85, 67.61], \"size_3d\": [2.37, 1.92, 4.43]}]\n```" + } + ] + }, + { + "id": 772, + "data_source": "Mono3DRefer", + "scene_name": "003748", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [348.00, 192.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-16.0, 1.84, 43.97], \"size_3d\": [1.34, 1.73, 3.98]}]\n```" + } + ] + }, + { + "id": 773, + "data_source": "Mono3DRefer", + "scene_name": "003767", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [34.39, 202.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.7, 2.03, 25.89], \"size_3d\": [1.92, 1.58, 3.93]}]\n```" + } + ] + }, + { + "id": 774, + "data_source": "Mono3DRefer", + "scene_name": "003767", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [525.16, 178.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.94, 1.92, 33.17], \"size_3d\": [3.34, 2.39, 8.69]}]\n```" + } + ] + }, + { + "id": 775, + "data_source": "Mono3DRefer", + "scene_name": "003767", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [564.67, 187.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.05, 2.13, 64.13], \"size_3d\": [1.66, 1.67, 4.49]}]\n```" + } + ] + }, + { + "id": 776, + "data_source": "Mono3DRefer", + "scene_name": "003767", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [390.10, 189.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-20.33, 2.32, 66.64], \"size_3d\": [1.56, 1.72, 3.09]}]\n```" + } + ] + }, + { + "id": 777, + "data_source": "Mono3DRefer", + "scene_name": "003767", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [603.78, 194.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.33, 1.82, 33.71], \"size_3d\": [1.62, 1.63, 4.5]}]\n```" + } + ] + }, + { + "id": 778, + "data_source": "Mono3DRefer", + "scene_name": "003769", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: bus, the coordinate of center point in the image: [763.20, 184.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.55, 1.69, 16.95], \"size_3d\": [2.85, 2.63, 12.34]}]\n```" + } + ] + }, + { + "id": 779, + "data_source": "Mono3DRefer", + "scene_name": "003769", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [244.61, 210.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-16.1, 2.43, 31.71], \"size_3d\": [1.56, 1.91, 4.44]}]\n```" + } + ] + }, + { + "id": 780, + "data_source": "Mono3DRefer", + "scene_name": "003808", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [125.45, 340.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.94, 1.66, 4.29], \"size_3d\": [1.33, 1.71, 4.09]}]\n```" + } + ] + }, + { + "id": 781, + "data_source": "Mono3DRefer", + "scene_name": "003808", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [705.82, 207.50]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.37, 1.62, 18.21], \"size_3d\": [1.49, 1.56, 4.34]}]\n```" + } + ] + }, + { + "id": 782, + "data_source": "Mono3DRefer", + "scene_name": "003808", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [439.75, 228.16]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.16, 1.72, 13.17], \"size_3d\": [1.42, 1.53, 4.12]}]\n```" + } + ] + }, + { + "id": 783, + "data_source": "Mono3DRefer", + "scene_name": "003808", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [929.94, 279.81]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.53, 1.66, 5.83], \"size_3d\": [1.59, 1.59, 3.89]}]\n```" + } + ] + }, + { + "id": 784, + "data_source": "Mono3DRefer", + "scene_name": "003808", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [651.01, 192.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.96, 1.64, 35.16], \"size_3d\": [1.38, 1.64, 3.51]}]\n```" + } + ] + }, + { + "id": 785, + "data_source": "Mono3DRefer", + "scene_name": "003808", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [694.03, 176.45]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.03, 1.64, 69.1], \"size_3d\": [2.59, 1.98, 5.33]}]\n```" + } + ] + }, + { + "id": 786, + "data_source": "Mono3DRefer", + "scene_name": "003904", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [94.26, 378.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.49, 1.74, 3.4], \"size_3d\": [1.54, 1.5, 3.48]}]\n```" + } + ] + }, + { + "id": 787, + "data_source": "Mono3DRefer", + "scene_name": "003904", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [386.47, 264.83]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.63, 1.78, 8.31], \"size_3d\": [1.44, 1.63, 3.32]}]\n```" + } + ] + }, + { + "id": 788, + "data_source": "Mono3DRefer", + "scene_name": "003904", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [861.77, 263.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.72, 1.77, 7.95], \"size_3d\": [1.55, 1.55, 3.27]}]\n```" + } + ] + }, + { + "id": 789, + "data_source": "Mono3DRefer", + "scene_name": "003904", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [745.75, 230.97]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.4, 1.79, 13.03], \"size_3d\": [1.48, 1.6, 3.79]}]\n```" + } + ] + }, + { + "id": 790, + "data_source": "Mono3DRefer", + "scene_name": "003904", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [531.83, 210.03]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.61, 2.0, 23.67], \"size_3d\": [1.56, 1.55, 3.64]}]\n```" + } + ] + }, + { + "id": 791, + "data_source": "Mono3DRefer", + "scene_name": "003904", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [560.86, 198.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.03, 1.98, 29.19], \"size_3d\": [1.91, 1.66, 4.22]}]\n```" + } + ] + }, + { + "id": 792, + "data_source": "Mono3DRefer", + "scene_name": "003904", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [587.40, 195.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.14, 2.01, 35.17], \"size_3d\": [1.83, 1.69, 4.28]}]\n```" + } + ] + }, + { + "id": 793, + "data_source": "Mono3DRefer", + "scene_name": "003904", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [634.79, 193.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.71, 2.22, 50.61], \"size_3d\": [1.51, 1.63, 4.03]}]\n```" + } + ] + }, + { + "id": 794, + "data_source": "Mono3DRefer", + "scene_name": "003928", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [524.47, 210.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.0, 2.0, 24.93], \"size_3d\": [1.42, 1.66, 4.11]}]\n```" + } + ] + }, + { + "id": 795, + "data_source": "Mono3DRefer", + "scene_name": "003928", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [579.54, 180.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.99, 1.69, 70.43], \"size_3d\": [1.97, 1.87, 4.53]}]\n```" + } + ] + }, + { + "id": 796, + "data_source": "Mono3DRefer", + "scene_name": "003974", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [872.17, 230.95]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.88, 1.48, 7.75], \"size_3d\": [1.85, 0.67, 0.8]}]\n```" + } + ] + }, + { + "id": 797, + "data_source": "Mono3DRefer", + "scene_name": "003978", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [623.07, 201.83]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.39, 1.82, 24.02], \"size_3d\": [1.71, 0.63, 2.12]}]\n```" + } + ] + }, + { + "id": 798, + "data_source": "Mono3DRefer", + "scene_name": "003978", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-135.70, 304.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.89, 1.92, 6.61], \"size_3d\": [1.42, 1.62, 3.5]}]\n```" + } + ] + }, + { + "id": 799, + "data_source": "Mono3DRefer", + "scene_name": "003978", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [342.47, 220.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.92, 1.93, 18.53], \"size_3d\": [1.41, 1.54, 3.6]}]\n```" + } + ] + }, + { + "id": 800, + "data_source": "Mono3DRefer", + "scene_name": "003997", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [852.33, 218.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.01, 1.4, 8.74], \"size_3d\": [1.85, 0.67, 1.1]}]\n```" + } + ] + }, + { + "id": 801, + "data_source": "Mono3DRefer", + "scene_name": "004034", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [75.31, 331.01]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.69, 1.77, 4.9], \"size_3d\": [1.39, 1.48, 3.76]}]\n```" + } + ] + }, + { + "id": 802, + "data_source": "Mono3DRefer", + "scene_name": "004034", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [362.13, 231.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.73, 1.78, 10.7], \"size_3d\": [1.81, 1.66, 4.05]}]\n```" + } + ] + }, + { + "id": 803, + "data_source": "Mono3DRefer", + "scene_name": "004034", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [523.67, 204.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.31, 1.94, 27.3], \"size_3d\": [1.46, 1.75, 4.23]}]\n```" + } + ] + }, + { + "id": 804, + "data_source": "Mono3DRefer", + "scene_name": "004043", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [466.06, 209.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.76, 2.05, 23.63], \"size_3d\": [1.68, 1.63, 3.9]}]\n```" + } + ] + }, + { + "id": 805, + "data_source": "Mono3DRefer", + "scene_name": "004043", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [466.24, 199.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.63, 2.12, 38.11], \"size_3d\": [1.47, 1.7, 4.39]}]\n```" + } + ] + }, + { + "id": 806, + "data_source": "Mono3DRefer", + "scene_name": "004060", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [968.03, 256.38]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.08, 1.69, 8.33], \"size_3d\": [1.45, 1.68, 4.53]}]\n```" + } + ] + }, + { + "id": 807, + "data_source": "Mono3DRefer", + "scene_name": "004080", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [794.93, 194.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.78, 1.58, 26.62], \"size_3d\": [1.56, 1.65, 3.69]}]\n```" + } + ] + }, + { + "id": 808, + "data_source": "Mono3DRefer", + "scene_name": "004160", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [841.93, 246.95]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.73, 1.69, 8.66], \"size_3d\": [1.6, 1.53, 4.18]}]\n```" + } + ] + }, + { + "id": 809, + "data_source": "Mono3DRefer", + "scene_name": "004160", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [737.59, 220.17]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.51, 1.73, 14.48], \"size_3d\": [1.56, 1.57, 3.98]}]\n```" + } + ] + }, + { + "id": 810, + "data_source": "Mono3DRefer", + "scene_name": "004160", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [439.91, 193.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.72, 1.88, 36.83], \"size_3d\": [1.61, 1.57, 3.35]}]\n```" + } + ] + }, + { + "id": 811, + "data_source": "Mono3DRefer", + "scene_name": "004160", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [683.84, 181.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.12, 1.51, 50.31], \"size_3d\": [1.79, 1.72, 4.35]}]\n```" + } + ] + }, + { + "id": 812, + "data_source": "Mono3DRefer", + "scene_name": "004160", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [574.28, 186.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.59, 1.73, 51.75], \"size_3d\": [1.45, 1.49, 4.07]}]\n```" + } + ] + }, + { + "id": 813, + "data_source": "Mono3DRefer", + "scene_name": "004183", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [517.49, 219.19]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.0, 2.19, 23.04], \"size_3d\": [1.42, 1.66, 4.11]}]\n```" + } + ] + }, + { + "id": 814, + "data_source": "Mono3DRefer", + "scene_name": "004183", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [578.53, 186.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.01, 2.26, 68.6], \"size_3d\": [1.97, 1.87, 4.53]}]\n```" + } + ] + }, + { + "id": 815, + "data_source": "Mono3DRefer", + "scene_name": "004258", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [445.59, 208.41]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.23, 2.38, 31.55], \"size_3d\": [1.65, 1.75, 3.39]}]\n```" + } + ] + }, + { + "id": 816, + "data_source": "Mono3DRefer", + "scene_name": "004268", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [891.41, 267.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.88, 1.46, 4.77], \"size_3d\": [1.74, 0.52, 0.83]}]\n```" + } + ] + }, + { + "id": 817, + "data_source": "Mono3DRefer", + "scene_name": "004268", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [846.92, 284.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.37, 1.43, 4.16], \"size_3d\": [1.63, 0.63, 0.72]}]\n```" + } + ] + }, + { + "id": 818, + "data_source": "Mono3DRefer", + "scene_name": "004268", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [493.30, 233.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.1, 1.36, 6.63], \"size_3d\": [1.72, 0.49, 0.93]}]\n```" + } + ] + }, + { + "id": 819, + "data_source": "Mono3DRefer", + "scene_name": "004268", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [410.18, 233.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.71, 1.35, 6.01], \"size_3d\": [1.79, 0.65, 0.76]}]\n```" + } + ] + }, + { + "id": 820, + "data_source": "Mono3DRefer", + "scene_name": "004268", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [928.91, 266.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.34, 1.46, 5.22], \"size_3d\": [1.64, 0.56, 0.94]}]\n```" + } + ] + }, + { + "id": 821, + "data_source": "Mono3DRefer", + "scene_name": "004268", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [540.17, 178.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.67, 0.8, 17.8], \"size_3d\": [1.68, 0.45, 0.75]}]\n```" + } + ] + }, + { + "id": 822, + "data_source": "Mono3DRefer", + "scene_name": "004268", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [534.28, 166.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.22, 0.53, 21.87], \"size_3d\": [1.95, 0.63, 0.74]}]\n```" + } + ] + }, + { + "id": 823, + "data_source": "Mono3DRefer", + "scene_name": "004268", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [555.82, 171.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.54, 0.59, 21.67], \"size_3d\": [1.71, 0.6, 0.52]}]\n```" + } + ] + }, + { + "id": 824, + "data_source": "Mono3DRefer", + "scene_name": "004268", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [589.79, 172.30]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.49, 0.55, 21.25], \"size_3d\": [1.59, 0.46, 0.67]}]\n```" + } + ] + }, + { + "id": 825, + "data_source": "Mono3DRefer", + "scene_name": "004268", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [424.77, 167.17]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.27, 0.46, 24.48], \"size_3d\": [1.84, 0.51, 1.61]}]\n```" + } + ] + }, + { + "id": 826, + "data_source": "Mono3DRefer", + "scene_name": "004272", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [855.47, 243.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.08, 1.61, 9.21], \"size_3d\": [1.41, 1.62, 3.6]}]\n```" + } + ] + }, + { + "id": 827, + "data_source": "Mono3DRefer", + "scene_name": "004272", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [735.88, 220.13]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.01, 1.66, 11.82], \"size_3d\": [1.77, 1.96, 4.39]}]\n```" + } + ] + }, + { + "id": 828, + "data_source": "Mono3DRefer", + "scene_name": "004272", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [264.69, 210.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-11.04, 2.1, 22.97], \"size_3d\": [1.8, 1.76, 4.24]}]\n```" + } + ] + }, + { + "id": 829, + "data_source": "Mono3DRefer", + "scene_name": "004272", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [469.77, 200.56]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.39, 1.94, 32.67], \"size_3d\": [1.37, 1.6, 4.5]}]\n```" + } + ] + }, + { + "id": 830, + "data_source": "Mono3DRefer", + "scene_name": "004272", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [692.89, 223.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.6, 1.7, 14.37], \"size_3d\": [1.4, 1.51, 3.98]}]\n```" + } + ] + }, + { + "id": 831, + "data_source": "Mono3DRefer", + "scene_name": "004296", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [595.83, 200.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.55, 1.8, 25.75], \"size_3d\": [1.61, 1.66, 3.2]}]\n```" + } + ] + }, + { + "id": 832, + "data_source": "Mono3DRefer", + "scene_name": "004296", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [134.42, 299.51]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.96, 1.77, 5.92], \"size_3d\": [1.46, 1.66, 4.05]}]\n```" + } + ] + }, + { + "id": 833, + "data_source": "Mono3DRefer", + "scene_name": "004296", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [799.88, 180.03]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [18.75, 1.6, 71.31], \"size_3d\": [1.78, 1.87, 4.98]}]\n```" + } + ] + }, + { + "id": 834, + "data_source": "Mono3DRefer", + "scene_name": "004296", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [836.12, 177.97]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [18.74, 1.41, 59.87], \"size_3d\": [1.97, 2.16, 5.31]}]\n```" + } + ] + }, + { + "id": 835, + "data_source": "Mono3DRefer", + "scene_name": "004296", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [885.78, 174.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [18.78, 1.27, 49.21], \"size_3d\": [2.32, 2.3, 5.87]}]\n```" + } + ] + }, + { + "id": 836, + "data_source": "Mono3DRefer", + "scene_name": "004376", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [678.03, 189.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.67, 1.94, 49.84], \"size_3d\": [1.54, 1.63, 3.67]}]\n```" + } + ] + }, + { + "id": 837, + "data_source": "Mono3DRefer", + "scene_name": "004376", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-118.79, 402.69]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.99, 1.69, 2.9], \"size_3d\": [1.53, 1.67, 3.78]}]\n```" + } + ] + }, + { + "id": 838, + "data_source": "Mono3DRefer", + "scene_name": "004376", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1296.97, 316.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.02, 1.67, 3.23], \"size_3d\": [2.05, 1.5, 3.83]}]\n```" + } + ] + }, + { + "id": 839, + "data_source": "Mono3DRefer", + "scene_name": "004376", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [776.21, 206.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.32, 1.83, 18.96], \"size_3d\": [1.88, 1.57, 3.71]}]\n```" + } + ] + }, + { + "id": 840, + "data_source": "Mono3DRefer", + "scene_name": "004376", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [815.59, 224.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.75, 1.7, 13.34], \"size_3d\": [1.5, 1.56, 3.69]}]\n```" + } + ] + }, + { + "id": 841, + "data_source": "Mono3DRefer", + "scene_name": "004376", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [742.33, 198.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.22, 1.87, 28.69], \"size_3d\": [1.7, 1.62, 3.76]}]\n```" + } + ] + }, + { + "id": 842, + "data_source": "Mono3DRefer", + "scene_name": "004376", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [726.69, 194.41]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.46, 1.9, 40.16], \"size_3d\": [1.4, 1.53, 3.56]}]\n```" + } + ] + }, + { + "id": 843, + "data_source": "Mono3DRefer", + "scene_name": "004425", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [827.72, 209.34]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.4, 1.23, 10.93], \"size_3d\": [1.61, 0.91, 0.91]}]\n```" + } + ] + }, + { + "id": 844, + "data_source": "Mono3DRefer", + "scene_name": "004425", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [444.64, 215.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.48, 1.39, 11.16], \"size_3d\": [1.72, 0.85, 1.79]}]\n```" + } + ] + }, + { + "id": 845, + "data_source": "Mono3DRefer", + "scene_name": "004425", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [580.94, 170.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.3, 0.02, 45.81], \"size_3d\": [1.49, 1.68, 4.08]}]\n```" + } + ] + }, + { + "id": 846, + "data_source": "Mono3DRefer", + "scene_name": "004425", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [712.84, 183.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.99, 0.89, 19.48], \"size_3d\": [1.65, 0.88, 0.49]}]\n```" + } + ] + }, + { + "id": 847, + "data_source": "Mono3DRefer", + "scene_name": "004425", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [344.58, 230.64]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.02, 1.43, 8.31], \"size_3d\": [1.72, 0.66, 1.95]}]\n```" + } + ] + }, + { + "id": 848, + "data_source": "Mono3DRefer", + "scene_name": "004425", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [637.21, 162.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.63, 0.39, 32.96], \"size_3d\": [2.56, 2.06, 5.87]}]\n```" + } + ] + }, + { + "id": 849, + "data_source": "Mono3DRefer", + "scene_name": "004444", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [910.86, 268.98]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.76, 1.7, 6.75], \"size_3d\": [1.6, 1.53, 4.18]}]\n```" + } + ] + }, + { + "id": 850, + "data_source": "Mono3DRefer", + "scene_name": "004444", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [759.20, 227.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.56, 1.74, 12.63], \"size_3d\": [1.56, 1.57, 3.98]}]\n```" + } + ] + }, + { + "id": 851, + "data_source": "Mono3DRefer", + "scene_name": "004444", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [433.47, 195.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.59, 1.91, 34.95], \"size_3d\": [1.61, 1.57, 3.35]}]\n```" + } + ] + }, + { + "id": 852, + "data_source": "Mono3DRefer", + "scene_name": "004444", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [688.66, 182.16]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.25, 1.52, 48.43], \"size_3d\": [1.79, 1.72, 4.35]}]\n```" + } + ] + }, + { + "id": 853, + "data_source": "Mono3DRefer", + "scene_name": "004444", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [575.65, 188.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.4, 1.82, 49.79], \"size_3d\": [1.45, 1.49, 4.07]}]\n```" + } + ] + }, + { + "id": 854, + "data_source": "Mono3DRefer", + "scene_name": "004509", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [364.91, 231.50]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.89, 1.45, 8.36], \"size_3d\": [1.69, 0.57, 0.86]}]\n```" + } + ] + }, + { + "id": 855, + "data_source": "Mono3DRefer", + "scene_name": "004575", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [157.10, 217.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-19.2, 2.6, 30.52], \"size_3d\": [1.42, 1.7, 4.14]}]\n```" + } + ] + }, + { + "id": 856, + "data_source": "Mono3DRefer", + "scene_name": "004575", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [90.48, 217.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-21.86, 2.65, 30.3], \"size_3d\": [1.52, 1.71, 4.11]}]\n```" + } + ] + }, + { + "id": 857, + "data_source": "Mono3DRefer", + "scene_name": "004619", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [1088.90, 257.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.44, 1.4, 5.1], \"size_3d\": [1.68, 0.45, 0.75]}]\n```" + } + ] + }, + { + "id": 858, + "data_source": "Mono3DRefer", + "scene_name": "004619", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [648.28, 205.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.54, 1.31, 9.6], \"size_3d\": [1.95, 0.63, 0.74]}]\n```" + } + ] + }, + { + "id": 859, + "data_source": "Mono3DRefer", + "scene_name": "004619", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [704.86, 211.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.3, 1.27, 9.54], \"size_3d\": [1.71, 0.6, 0.52]}]\n```" + } + ] + }, + { + "id": 860, + "data_source": "Mono3DRefer", + "scene_name": "004619", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [801.83, 204.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.9, 1.15, 10.58], \"size_3d\": [1.59, 0.46, 0.67]}]\n```" + } + ] + }, + { + "id": 861, + "data_source": "Mono3DRefer", + "scene_name": "004760", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [403.85, 222.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.63, 1.7, 12.52], \"size_3d\": [1.68, 1.63, 3.9]}]\n```" + } + ] + }, + { + "id": 862, + "data_source": "Mono3DRefer", + "scene_name": "004760", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [457.41, 202.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.72, 1.83, 26.84], \"size_3d\": [1.47, 1.7, 4.39]}]\n```" + } + ] + }, + { + "id": 863, + "data_source": "Mono3DRefer", + "scene_name": "004823", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [700.47, 187.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.06, 1.76, 48.57], \"size_3d\": [1.54, 1.63, 3.67]}]\n```" + } + ] + }, + { + "id": 864, + "data_source": "Mono3DRefer", + "scene_name": "004823", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1033.13, 289.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.1, 1.66, 5.38], \"size_3d\": [1.58, 1.67, 3.84]}]\n```" + } + ] + }, + { + "id": 865, + "data_source": "Mono3DRefer", + "scene_name": "004823", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [531.33, 212.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.04, 1.78, 18.26], \"size_3d\": [1.53, 1.67, 3.78]}]\n```" + } + ] + }, + { + "id": 866, + "data_source": "Mono3DRefer", + "scene_name": "004823", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [855.22, 221.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.39, 1.71, 10.13], \"size_3d\": [2.05, 1.5, 3.83]}]\n```" + } + ] + }, + { + "id": 867, + "data_source": "Mono3DRefer", + "scene_name": "004873", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [780.85, 229.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.78, 1.64, 11.96], \"size_3d\": [1.41, 1.58, 4.36]}]\n```" + } + ] + }, + { + "id": 868, + "data_source": "Mono3DRefer", + "scene_name": "004886", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [534.42, 204.64]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.47, 1.74, 23.14], \"size_3d\": [1.44, 1.68, 4.39]}]\n```" + } + ] + }, + { + "id": 869, + "data_source": "Mono3DRefer", + "scene_name": "004890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [596.94, 192.24]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.59, 1.52, 30.32], \"size_3d\": [1.41, 1.59, 4.47]}]\n```" + } + ] + }, + { + "id": 870, + "data_source": "Mono3DRefer", + "scene_name": "004903", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [578.68, 261.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.26, 1.56, 5.55], \"size_3d\": [1.85, 0.65, 1.22]}]\n```" + } + ] + }, + { + "id": 871, + "data_source": "Mono3DRefer", + "scene_name": "004986", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [932.08, 230.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.82, 1.45, 8.36], \"size_3d\": [1.72, 0.55, 1.1]}]\n```" + } + ] + }, + { + "id": 872, + "data_source": "Mono3DRefer", + "scene_name": "004996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [782.03, 234.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.44, 1.59, 9.93], \"size_3d\": [1.67, 0.61, 1.7]}]\n```" + } + ] + }, + { + "id": 873, + "data_source": "Mono3DRefer", + "scene_name": "004996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [230.20, 215.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.63, 1.66, 14.31], \"size_3d\": [1.89, 0.55, 0.8]}]\n```" + } + ] + }, + { + "id": 874, + "data_source": "Mono3DRefer", + "scene_name": "005036", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [301.36, 249.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.94, 1.64, 6.74], \"size_3d\": [1.85, 1.84, 4.06]}]\n```" + } + ] + }, + { + "id": 875, + "data_source": "Mono3DRefer", + "scene_name": "005036", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [920.77, 262.97]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.65, 1.67, 6.28], \"size_3d\": [1.77, 1.63, 3.76]}]\n```" + } + ] + }, + { + "id": 876, + "data_source": "Mono3DRefer", + "scene_name": "005036", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [491.27, 217.90]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.58, 1.69, 15.37], \"size_3d\": [1.46, 1.63, 4.47]}]\n```" + } + ] + }, + { + "id": 877, + "data_source": "Mono3DRefer", + "scene_name": "005036", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [524.06, 199.03]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.59, 1.7, 21.35], \"size_3d\": [1.85, 1.7, 4.35]}]\n```" + } + ] + }, + { + "id": 878, + "data_source": "Mono3DRefer", + "scene_name": "005036", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [550.11, 195.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.26, 1.67, 26.7], \"size_3d\": [1.7, 1.82, 4.45]}]\n```" + } + ] + }, + { + "id": 879, + "data_source": "Mono3DRefer", + "scene_name": "005036", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [654.98, 187.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.48, 1.6, 40.34], \"size_3d\": [1.57, 1.56, 2.62]}]\n```" + } + ] + }, + { + "id": 880, + "data_source": "Mono3DRefer", + "scene_name": "005048", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [838.59, 201.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.21, 1.57, 19.75], \"size_3d\": [1.56, 1.65, 3.69]}]\n```" + } + ] + }, + { + "id": 881, + "data_source": "Mono3DRefer", + "scene_name": "005048", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [382.34, 223.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.63, 1.73, 14.51], \"size_3d\": [1.42, 1.67, 4.53]}]\n```" + } + ] + }, + { + "id": 882, + "data_source": "Mono3DRefer", + "scene_name": "005048", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1293.13, 182.83]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [26.64, 1.16, 28.18], \"size_3d\": [1.54, 1.63, 3.74]}]\n```" + } + ] + }, + { + "id": 883, + "data_source": "Mono3DRefer", + "scene_name": "005144", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [747.96, 219.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.0, 1.79, 15.95], \"size_3d\": [1.51, 1.56, 3.81]}]\n```" + } + ] + }, + { + "id": 884, + "data_source": "Mono3DRefer", + "scene_name": "005144", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [713.49, 206.75]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.99, 1.78, 21.17], \"size_3d\": [1.57, 1.68, 3.83]}]\n```" + } + ] + }, + { + "id": 885, + "data_source": "Mono3DRefer", + "scene_name": "005144", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [684.17, 189.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.87, 1.83, 28.33], \"size_3d\": [2.38, 1.98, 5.62]}]\n```" + } + ] + }, + { + "id": 886, + "data_source": "Mono3DRefer", + "scene_name": "005144", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [539.09, 195.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.32, 1.8, 33.38], \"size_3d\": [1.52, 1.5, 3.85]}]\n```" + } + ] + }, + { + "id": 887, + "data_source": "Mono3DRefer", + "scene_name": "005309", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [608.13, 187.90]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.14, 1.67, 40.51], \"size_3d\": [1.65, 1.67, 3.64]}]\n```" + } + ] + }, + { + "id": 888, + "data_source": "Mono3DRefer", + "scene_name": "005309", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [238.74, 205.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-14.96, 2.12, 28.99], \"size_3d\": [1.63, 0.45, 0.41]}]\n```" + } + ] + }, + { + "id": 889, + "data_source": "Mono3DRefer", + "scene_name": "005345", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [868.17, 266.69]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.64, 1.69, 7.53], \"size_3d\": [1.42, 1.59, 4.19]}]\n```" + } + ] + }, + { + "id": 890, + "data_source": "Mono3DRefer", + "scene_name": "005345", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [316.66, 262.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.41, 1.74, 8.25], \"size_3d\": [1.42, 1.64, 3.63]}]\n```" + } + ] + }, + { + "id": 891, + "data_source": "Mono3DRefer", + "scene_name": "005345", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [747.36, 224.25]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.54, 1.66, 13.61], \"size_3d\": [1.38, 1.58, 3.66]}]\n```" + } + ] + }, + { + "id": 892, + "data_source": "Mono3DRefer", + "scene_name": "005345", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [708.64, 208.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.47, 1.62, 18.42], \"size_3d\": [1.42, 1.6, 3.78]}]\n```" + } + ] + }, + { + "id": 893, + "data_source": "Mono3DRefer", + "scene_name": "005345", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [752.82, 190.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.08, 1.55, 30.92], \"size_3d\": [1.57, 1.65, 4.1]}]\n```" + } + ] + }, + { + "id": 894, + "data_source": "Mono3DRefer", + "scene_name": "005346", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [426.88, 235.59]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.0, 1.81, 11.61], \"size_3d\": [1.6, 1.68, 3.94]}]\n```" + } + ] + }, + { + "id": 895, + "data_source": "Mono3DRefer", + "scene_name": "005346", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [560.97, 194.38]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.79, 1.92, 40.54], \"size_3d\": [1.42, 1.66, 4.11]}]\n```" + } + ] + }, + { + "id": 896, + "data_source": "Mono3DRefer", + "scene_name": "005397", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [407.18, 200.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.59, 1.86, 30.41], \"size_3d\": [1.36, 1.68, 4.49]}]\n```" + } + ] + }, + { + "id": 897, + "data_source": "Mono3DRefer", + "scene_name": "005444", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [736.88, 189.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.71, 0.99, 31.98], \"size_3d\": [1.6, 1.76, 3.84]}]\n```" + } + ] + }, + { + "id": 898, + "data_source": "Mono3DRefer", + "scene_name": "005444", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [712.17, 185.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.54, 0.72, 52.04], \"size_3d\": [1.39, 1.56, 3.45]}]\n```" + } + ] + }, + { + "id": 899, + "data_source": "Mono3DRefer", + "scene_name": "005444", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [702.25, 182.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.86, 718.86), (cx, cy) = (607.19, 185.22). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.92, 0.46, 75.47], \"size_3d\": [1.41, 1.66, 3.76]}]\n```" + } + ] + }, + { + "id": 900, + "data_source": "Mono3DRefer", + "scene_name": "005528", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [613.90, 187.99]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.22, 1.8, 46.47], \"size_3d\": [1.65, 1.67, 3.64]}]\n```" + } + ] + }, + { + "id": 901, + "data_source": "Mono3DRefer", + "scene_name": "005528", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [864.65, 219.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.78, 1.38, 8.03], \"size_3d\": [1.72, 0.47, 1.65]}]\n```" + } + ] + }, + { + "id": 902, + "data_source": "Mono3DRefer", + "scene_name": "005528", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [806.89, 221.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.55, 1.44, 9.54], \"size_3d\": [1.6, 0.39, 0.4]}]\n```" + } + ] + }, + { + "id": 903, + "data_source": "Mono3DRefer", + "scene_name": "005528", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [753.20, 218.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.23, 1.47, 11.5], \"size_3d\": [1.5, 0.4, 0.35]}]\n```" + } + ] + }, + { + "id": 904, + "data_source": "Mono3DRefer", + "scene_name": "005528", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [188.45, 237.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.53, 1.64, 9.37], \"size_3d\": [1.6, 0.38, 0.3]}]\n```" + } + ] + }, + { + "id": 905, + "data_source": "Mono3DRefer", + "scene_name": "005528", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [178.84, 231.51]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.75, 1.98, 16.23], \"size_3d\": [1.32, 1.6, 3.63]}]\n```" + } + ] + }, + { + "id": 906, + "data_source": "Mono3DRefer", + "scene_name": "005528", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [432.73, 198.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.54, 2.06, 38.68], \"size_3d\": [1.33, 1.46, 3.87]}]\n```" + } + ] + }, + { + "id": 907, + "data_source": "Mono3DRefer", + "scene_name": "005528", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [815.16, 207.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.95, 1.36, 10.56], \"size_3d\": [1.7, 0.48, 1.5]}]\n```" + } + ] + }, + { + "id": 908, + "data_source": "Mono3DRefer", + "scene_name": "005577", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-139.98, 383.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.47, 1.71, 3.28], \"size_3d\": [1.5, 1.7, 3.77]}]\n```" + } + ] + }, + { + "id": 909, + "data_source": "Mono3DRefer", + "scene_name": "005577", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [499.14, 199.43]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.19, 2.02, 33.52], \"size_3d\": [1.57, 1.55, 3.32]}]\n```" + } + ] + }, + { + "id": 910, + "data_source": "Mono3DRefer", + "scene_name": "005577", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [508.67, 194.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.68, 1.99, 40.19], \"size_3d\": [1.56, 1.68, 3.91]}]\n```" + } + ] + }, + { + "id": 911, + "data_source": "Mono3DRefer", + "scene_name": "005577", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [358.48, 197.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.55, 1.83, 27.27], \"size_3d\": [1.77, 1.73, 4.53]}]\n```" + } + ] + }, + { + "id": 912, + "data_source": "Mono3DRefer", + "scene_name": "005672", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [285.26, 263.92]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.05, 1.57, 6.65], \"size_3d\": [1.46, 1.63, 4.47]}]\n```" + } + ] + }, + { + "id": 913, + "data_source": "Mono3DRefer", + "scene_name": "005672", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [419.35, 214.24]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.39, 1.65, 12.63], \"size_3d\": [1.85, 1.7, 4.35]}]\n```" + } + ] + }, + { + "id": 914, + "data_source": "Mono3DRefer", + "scene_name": "005672", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [476.72, 197.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.33, 1.45, 17.76], \"size_3d\": [1.7, 1.82, 4.45]}]\n```" + } + ] + }, + { + "id": 915, + "data_source": "Mono3DRefer", + "scene_name": "005672", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [669.93, 177.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.99, 1.04, 36.45], \"size_3d\": [1.57, 1.56, 2.62]}]\n```" + } + ] + }, + { + "id": 916, + "data_source": "Mono3DRefer", + "scene_name": "005677", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [1000.96, 252.30]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.52, 1.65, 8.44], \"size_3d\": [1.44, 0.36, 1.26]}]\n```" + } + ] + }, + { + "id": 917, + "data_source": "Mono3DRefer", + "scene_name": "005677", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [217.16, 322.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.65, 1.72, 4.76], \"size_3d\": [1.46, 1.6, 3.33]}]\n```" + } + ] + }, + { + "id": 918, + "data_source": "Mono3DRefer", + "scene_name": "005677", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1012.48, 300.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.65, 1.68, 4.85], \"size_3d\": [1.64, 1.7, 3.54]}]\n```" + } + ] + }, + { + "id": 919, + "data_source": "Mono3DRefer", + "scene_name": "005677", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [814.34, 249.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.64, 1.69, 9.51], \"size_3d\": [1.37, 1.51, 3.39]}]\n```" + } + ] + }, + { + "id": 920, + "data_source": "Mono3DRefer", + "scene_name": "005677", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [742.48, 215.53]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.68, 1.75, 14.87], \"size_3d\": [1.74, 1.66, 4.23]}]\n```" + } + ] + }, + { + "id": 921, + "data_source": "Mono3DRefer", + "scene_name": "005677", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [545.96, 201.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.64, 1.93, 29.27], \"size_3d\": [1.55, 1.68, 4.42]}]\n```" + } + ] + }, + { + "id": 922, + "data_source": "Mono3DRefer", + "scene_name": "005677", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [690.18, 197.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.22, 1.99, 29.35], \"size_3d\": [2.0, 1.76, 4.61]}]\n```" + } + ] + }, + { + "id": 923, + "data_source": "Mono3DRefer", + "scene_name": "005683", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [501.45, 238.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.16, 1.5, 7.57], \"size_3d\": [1.76, 0.45, 1.01]}]\n```" + } + ] + }, + { + "id": 924, + "data_source": "Mono3DRefer", + "scene_name": "005741", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [881.51, 247.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.16, 1.74, 8.54], \"size_3d\": [1.72, 1.67, 4.42]}]\n```" + } + ] + }, + { + "id": 925, + "data_source": "Mono3DRefer", + "scene_name": "005741", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [461.16, 237.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.8, 1.91, 13.32], \"size_3d\": [1.44, 1.56, 3.84]}]\n```" + } + ] + }, + { + "id": 926, + "data_source": "Mono3DRefer", + "scene_name": "005741", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [536.47, 203.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.11, 2.03, 30.11], \"size_3d\": [1.5, 1.55, 4.21]}]\n```" + } + ] + }, + { + "id": 927, + "data_source": "Mono3DRefer", + "scene_name": "005741", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [660.10, 198.71]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.05, 1.99, 30.12], \"size_3d\": [1.82, 1.65, 3.67]}]\n```" + } + ] + }, + { + "id": 928, + "data_source": "Mono3DRefer", + "scene_name": "005756", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [626.76, 185.51]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.19, 1.64, 52.43], \"size_3d\": [1.44, 1.68, 4.39]}]\n```" + } + ] + }, + { + "id": 929, + "data_source": "Mono3DRefer", + "scene_name": "005760", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [737.74, 219.30]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.57, 1.41, 8.62], \"size_3d\": [1.87, 0.54, 1.02]}]\n```" + } + ] + }, + { + "id": 930, + "data_source": "Mono3DRefer", + "scene_name": "005767", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [808.81, 194.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [10.44, 1.86, 38.02], \"size_3d\": [1.43, 1.55, 3.91]}]\n```" + } + ] + }, + { + "id": 931, + "data_source": "Mono3DRefer", + "scene_name": "005793", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [256.52, 296.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.77, 1.93, 7.58], \"size_3d\": [1.27, 1.54, 3.58]}]\n```" + } + ] + }, + { + "id": 932, + "data_source": "Mono3DRefer", + "scene_name": "005793", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [412.14, 225.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.82, 1.81, 13.74], \"size_3d\": [1.63, 1.65, 3.91]}]\n```" + } + ] + }, + { + "id": 933, + "data_source": "Mono3DRefer", + "scene_name": "005793", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [531.81, 176.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.96, 1.82, 36.19], \"size_3d\": [3.25, 2.15, 7.05]}]\n```" + } + ] + }, + { + "id": 934, + "data_source": "Mono3DRefer", + "scene_name": "005793", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [634.30, 194.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.95, 1.63, 29.45], \"size_3d\": [1.46, 1.53, 3.17]}]\n```" + } + ] + }, + { + "id": 935, + "data_source": "Mono3DRefer", + "scene_name": "005793", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [611.75, 196.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.03, 1.8, 29.58], \"size_3d\": [1.68, 0.5, 0.42]}]\n```" + } + ] + }, + { + "id": 936, + "data_source": "Mono3DRefer", + "scene_name": "005794", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [746.10, 216.50]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.52, 1.57, 13.63], \"size_3d\": [1.49, 1.56, 4.34]}]\n```" + } + ] + }, + { + "id": 937, + "data_source": "Mono3DRefer", + "scene_name": "005794", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [360.76, 247.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.04, 1.61, 8.64], \"size_3d\": [1.42, 1.53, 4.12]}]\n```" + } + ] + }, + { + "id": 938, + "data_source": "Mono3DRefer", + "scene_name": "005794", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [664.49, 196.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.26, 1.67, 30.47], \"size_3d\": [1.38, 1.64, 3.51]}]\n```" + } + ] + }, + { + "id": 939, + "data_source": "Mono3DRefer", + "scene_name": "005794", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [707.16, 176.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.65, 1.64, 64.39], \"size_3d\": [2.59, 1.98, 5.33]}]\n```" + } + ] + }, + { + "id": 940, + "data_source": "Mono3DRefer", + "scene_name": "005802", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [653.93, 197.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.6, 1.59, 26.99], \"size_3d\": [1.37, 1.56, 3.54]}]\n```" + } + ] + }, + { + "id": 941, + "data_source": "Mono3DRefer", + "scene_name": "005802", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [598.75, 188.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.57, 1.52, 34.04], \"size_3d\": [1.61, 1.69, 4.26]}]\n```" + } + ] + }, + { + "id": 942, + "data_source": "Mono3DRefer", + "scene_name": "005802", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [662.98, 186.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.69, 1.45, 37.14], \"size_3d\": [1.53, 1.63, 4.5]}]\n```" + } + ] + }, + { + "id": 943, + "data_source": "Mono3DRefer", + "scene_name": "005802", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1030.21, 171.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [16.05, 0.68, 27.63], \"size_3d\": [1.48, 1.6, 3.84]}]\n```" + } + ] + }, + { + "id": 944, + "data_source": "Mono3DRefer", + "scene_name": "005802", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [976.96, 172.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [15.64, 0.75, 30.83], \"size_3d\": [1.55, 1.61, 3.64]}]\n```" + } + ] + }, + { + "id": 945, + "data_source": "Mono3DRefer", + "scene_name": "005875", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [500.62, 191.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.47, 1.17, 31.75], \"size_3d\": [1.42, 1.78, 3.62]}]\n```" + } + ] + }, + { + "id": 946, + "data_source": "Mono3DRefer", + "scene_name": "005889", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [873.85, 221.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.56, 1.68, 12.61], \"size_3d\": [1.66, 1.56, 3.42]}]\n```" + } + ] + }, + { + "id": 947, + "data_source": "Mono3DRefer", + "scene_name": "005889", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [683.83, 194.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.3, 1.72, 32.64], \"size_3d\": [1.45, 1.64, 4.21]}]\n```" + } + ] + }, + { + "id": 948, + "data_source": "Mono3DRefer", + "scene_name": "005889", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [819.39, 190.44]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [11.87, 1.81, 41.02], \"size_3d\": [1.62, 1.58, 3.89]}]\n```" + } + ] + }, + { + "id": 949, + "data_source": "Mono3DRefer", + "scene_name": "005889", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [723.30, 189.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.69, 1.83, 49.16], \"size_3d\": [1.45, 1.67, 4.43]}]\n```" + } + ] + }, + { + "id": 950, + "data_source": "Mono3DRefer", + "scene_name": "005890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [197.13, 259.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.0, 1.73, 8.64], \"size_3d\": [1.38, 1.66, 4.38]}]\n```" + } + ] + }, + { + "id": 951, + "data_source": "Mono3DRefer", + "scene_name": "005890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1435.09, 298.19]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.68, 1.46, 4.14], \"size_3d\": [1.48, 1.86, 4.18]}]\n```" + } + ] + }, + { + "id": 952, + "data_source": "Mono3DRefer", + "scene_name": "005890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1078.76, 236.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.78, 1.53, 7.44], \"size_3d\": [1.74, 1.66, 4.37]}]\n```" + } + ] + }, + { + "id": 953, + "data_source": "Mono3DRefer", + "scene_name": "005890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [413.07, 210.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.27, 1.73, 19.13], \"size_3d\": [1.47, 1.67, 4.28]}]\n```" + } + ] + }, + { + "id": 954, + "data_source": "Mono3DRefer", + "scene_name": "005890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [464.50, 201.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.98, 1.65, 24.47], \"size_3d\": [1.38, 1.67, 4.37]}]\n```" + } + ] + }, + { + "id": 955, + "data_source": "Mono3DRefer", + "scene_name": "005890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [884.82, 208.81]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.45, 1.49, 14.44], \"size_3d\": [1.54, 1.58, 3.2]}]\n```" + } + ] + }, + { + "id": 956, + "data_source": "Mono3DRefer", + "scene_name": "005890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [941.90, 215.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.57, 1.47, 12.22], \"size_3d\": [1.51, 1.72, 4.03]}]\n```" + } + ] + }, + { + "id": 957, + "data_source": "Mono3DRefer", + "scene_name": "005890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [549.30, 188.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.77, 1.66, 32.45], \"size_3d\": [1.88, 0.67, 1.18]}]\n```" + } + ] + }, + { + "id": 958, + "data_source": "Mono3DRefer", + "scene_name": "005895", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [465.26, 187.83]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.49, 1.7, 22.15], \"size_3d\": [2.48, 2.02, 6.78]}]\n```" + } + ] + }, + { + "id": 959, + "data_source": "Mono3DRefer", + "scene_name": "005895", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [527.76, 196.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.51, 1.69, 30.43], \"size_3d\": [1.37, 1.78, 4.65]}]\n```" + } + ] + }, + { + "id": 960, + "data_source": "Mono3DRefer", + "scene_name": "005895", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [682.66, 187.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.01, 1.74, 40.17], \"size_3d\": [1.81, 0.56, 1.78]}]\n```" + } + ] + }, + { + "id": 961, + "data_source": "Mono3DRefer", + "scene_name": "005951", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [530.59, 203.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.99, 1.86, 26.77], \"size_3d\": [1.42, 1.66, 4.11]}]\n```" + } + ] + }, + { + "id": 962, + "data_source": "Mono3DRefer", + "scene_name": "005951", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [580.30, 176.79]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.99, 1.38, 72.26], \"size_3d\": [1.97, 1.87, 4.53]}]\n```" + } + ] + }, + { + "id": 963, + "data_source": "Mono3DRefer", + "scene_name": "005996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1420.88, 300.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.42, 1.69, 5.76], \"size_3d\": [1.34, 1.52, 3.99]}]\n```" + } + ] + }, + { + "id": 964, + "data_source": "Mono3DRefer", + "scene_name": "005996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1173.17, 249.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.41, 1.69, 8.28], \"size_3d\": [1.63, 1.53, 3.45]}]\n```" + } + ] + }, + { + "id": 965, + "data_source": "Mono3DRefer", + "scene_name": "005996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [900.09, 208.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.44, 1.68, 16.14], \"size_3d\": [1.76, 1.71, 4.4]}]\n```" + } + ] + }, + { + "id": 966, + "data_source": "Mono3DRefer", + "scene_name": "005996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [219.24, 203.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.78, 1.64, 12.42], \"size_3d\": [2.22, 1.68, 4.08]}]\n```" + } + ] + }, + { + "id": 967, + "data_source": "Mono3DRefer", + "scene_name": "005996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [278.87, 214.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.89, 1.56, 14.9], \"size_3d\": [1.4, 1.46, 3.23]}]\n```" + } + ] + }, + { + "id": 968, + "data_source": "Mono3DRefer", + "scene_name": "005996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [687.04, 182.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.74, 1.5, 26.07], \"size_3d\": [2.33, 1.96, 6.11]}]\n```" + } + ] + }, + { + "id": 969, + "data_source": "Mono3DRefer", + "scene_name": "005996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [394.33, 202.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.62, 1.64, 21.99], \"size_3d\": [1.46, 1.61, 4.31]}]\n```" + } + ] + }, + { + "id": 970, + "data_source": "Mono3DRefer", + "scene_name": "005996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [446.86, 192.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.16, 1.65, 27.05], \"size_3d\": [1.8, 1.77, 4.41]}]\n```" + } + ] + }, + { + "id": 971, + "data_source": "Mono3DRefer", + "scene_name": "005996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [651.45, 179.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.47, 1.68, 43.57], \"size_3d\": [2.57, 1.99, 6.64]}]\n```" + } + ] + }, + { + "id": 972, + "data_source": "Mono3DRefer", + "scene_name": "005996", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [533.00, 176.63]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.95, 1.77, 64.93], \"size_3d\": [2.86, 1.88, 5.81]}]\n```" + } + ] + }, + { + "id": 973, + "data_source": "Mono3DRefer", + "scene_name": "006016", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [1159.51, 356.44]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.77, 1.74, 3.71], \"size_3d\": [1.59, 0.53, 1.89]}]\n```" + } + ] + }, + { + "id": 974, + "data_source": "Mono3DRefer", + "scene_name": "006016", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [468.07, 225.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.89, 1.77, 14.43], \"size_3d\": [1.44, 1.64, 3.78]}]\n```" + } + ] + }, + { + "id": 975, + "data_source": "Mono3DRefer", + "scene_name": "006016", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [521.25, 208.89]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.35, 1.82, 18.71], \"size_3d\": [1.77, 1.71, 4.28]}]\n```" + } + ] + }, + { + "id": 976, + "data_source": "Mono3DRefer", + "scene_name": "006016", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [970.28, 173.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [11.09, 1.38, 22.3], \"size_3d\": [2.71, 2.12, 5.66]}]\n```" + } + ] + }, + { + "id": 977, + "data_source": "Mono3DRefer", + "scene_name": "006016", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [755.13, 199.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.39, 1.72, 27.01], \"size_3d\": [1.45, 1.71, 3.93]}]\n```" + } + ] + }, + { + "id": 978, + "data_source": "Mono3DRefer", + "scene_name": "006016", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [576.27, 198.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.35, 1.85, 27.96], \"size_3d\": [1.73, 1.65, 3.96]}]\n```" + } + ] + }, + { + "id": 979, + "data_source": "Mono3DRefer", + "scene_name": "006016", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [738.32, 191.99]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.86, 1.77, 33.17], \"size_3d\": [1.78, 1.89, 4.37]}]\n```" + } + ] + }, + { + "id": 980, + "data_source": "Mono3DRefer", + "scene_name": "006016", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [591.77, 194.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.87, 1.83, 32.86], \"size_3d\": [1.68, 1.51, 3.29]}]\n```" + } + ] + }, + { + "id": 981, + "data_source": "Mono3DRefer", + "scene_name": "006016", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-128.75, 239.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-9.63, 1.62, 9.35], \"size_3d\": [1.5, 1.63, 4.14]}]\n```" + } + ] + }, + { + "id": 982, + "data_source": "Mono3DRefer", + "scene_name": "006019", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [545.18, 192.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.02, 1.92, 44.38], \"size_3d\": [1.45, 1.53, 3.98]}]\n```" + } + ] + }, + { + "id": 983, + "data_source": "Mono3DRefer", + "scene_name": "006019", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [475.76, 208.81]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.91, 1.86, 20.76], \"size_3d\": [1.65, 1.56, 3.98]}]\n```" + } + ] + }, + { + "id": 984, + "data_source": "Mono3DRefer", + "scene_name": "006019", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [428.54, 195.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-10.63, 2.13, 42.13], \"size_3d\": [1.6, 0.54, 1.5]}]\n```" + } + ] + }, + { + "id": 985, + "data_source": "Mono3DRefer", + "scene_name": "006025", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [780.67, 237.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.54, 1.68, 10.96], \"size_3d\": [1.41, 1.64, 3.77]}]\n```" + } + ] + }, + { + "id": 986, + "data_source": "Mono3DRefer", + "scene_name": "006025", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [512.28, 201.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.93, 2.14, 36.12], \"size_3d\": [1.43, 1.76, 3.97]}]\n```" + } + ] + }, + { + "id": 987, + "data_source": "Mono3DRefer", + "scene_name": "006025", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [373.94, 233.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.07, 2.04, 15.34], \"size_3d\": [1.49, 1.61, 3.94]}]\n```" + } + ] + }, + { + "id": 988, + "data_source": "Mono3DRefer", + "scene_name": "006025", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [433.26, 219.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.04, 2.06, 20.38], \"size_3d\": [1.48, 1.66, 3.9]}]\n```" + } + ] + }, + { + "id": 989, + "data_source": "Mono3DRefer", + "scene_name": "006025", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [79.63, 297.94]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.46, 1.93, 7.35], \"size_3d\": [1.31, 1.58, 4.23]}]\n```" + } + ] + }, + { + "id": 990, + "data_source": "Mono3DRefer", + "scene_name": "006062", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [326.04, 185.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.12, 1.8, 10.33], \"size_3d\": [3.25, 2.15, 7.05]}]\n```" + } + ] + }, + { + "id": 991, + "data_source": "Mono3DRefer", + "scene_name": "006062", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [661.85, 216.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.96, 1.58, 14.07], \"size_3d\": [1.46, 1.53, 3.17]}]\n```" + } + ] + }, + { + "id": 992, + "data_source": "Mono3DRefer", + "scene_name": "006062", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [616.58, 213.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.08, 1.64, 14.37], \"size_3d\": [1.68, 0.5, 0.42]}]\n```" + } + ] + }, + { + "id": 993, + "data_source": "Mono3DRefer", + "scene_name": "006072", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [9.31, 210.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-16.8, 1.79, 20.12], \"size_3d\": [1.46, 1.4, 3.27]}]\n```" + } + ] + }, + { + "id": 994, + "data_source": "Mono3DRefer", + "scene_name": "006072", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [135.81, 198.02]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-16.24, 1.75, 24.64], \"size_3d\": [1.78, 1.6, 4.29]}]\n```" + } + ] + }, + { + "id": 995, + "data_source": "Mono3DRefer", + "scene_name": "006072", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [229.31, 199.02]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-15.75, 1.83, 29.77], \"size_3d\": [1.5, 1.47, 3.62]}]\n```" + } + ] + }, + { + "id": 996, + "data_source": "Mono3DRefer", + "scene_name": "006142", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [551.47, 200.77]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.15, 1.71, 25.96], \"size_3d\": [1.41, 1.59, 4.47]}]\n```" + } + ] + }, + { + "id": 997, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [25.18, 234.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.76, 1.51, 8.27], \"size_3d\": [1.61, 1.46, 2.33]}]\n```" + } + ] + }, + { + "id": 998, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [219.83, 228.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.83, 1.57, 10.68], \"size_3d\": [1.5, 1.66, 4.4]}]\n```" + } + ] + }, + { + "id": 999, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [264.40, 181.56]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.39, 1.59, 13.23], \"size_3d\": [2.86, 1.88, 5.81]}]\n```" + } + ] + }, + { + "id": 1000, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [823.02, 242.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.71, 1.61, 9.36], \"size_3d\": [1.41, 1.62, 4.19]}]\n```" + } + ] + }, + { + "id": 1001, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [937.23, 218.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.39, 1.6, 14.2], \"size_3d\": [1.42, 1.59, 3.21]}]\n```" + } + ] + }, + { + "id": 1002, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [852.63, 208.09]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.18, 1.64, 18.52], \"size_3d\": [1.47, 1.77, 4.42]}]\n```" + } + ] + }, + { + "id": 1003, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [388.34, 199.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.45, 1.53, 20.84], \"size_3d\": [1.54, 1.66, 4.16]}]\n```" + } + ] + }, + { + "id": 1004, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [646.31, 184.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.62, 1.53, 52.61], \"size_3d\": [1.32, 1.63, 4.1]}]\n```" + } + ] + }, + { + "id": 1005, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [515.20, 182.99]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.11, 1.44, 46.26], \"size_3d\": [1.58, 1.56, 4.25]}]\n```" + } + ] + }, + { + "id": 1006, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [723.40, 190.27]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.95, 1.67, 38.09], \"size_3d\": [1.5, 1.62, 3.88]}]\n```" + } + ] + }, + { + "id": 1007, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [465.31, 193.97]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.66, 1.57, 28.01], \"size_3d\": [1.5, 1.49, 3.86]}]\n```" + } + ] + }, + { + "id": 1008, + "data_source": "Mono3DRefer", + "scene_name": "006156", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [776.07, 193.22]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.52, 1.58, 28.51], \"size_3d\": [1.55, 1.58, 3.51]}]\n```" + } + ] + }, + { + "id": 1009, + "data_source": "Mono3DRefer", + "scene_name": "006206", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [543.67, 189.01]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.26, 1.88, 45.99], \"size_3d\": [1.7, 1.72, 4.11]}]\n```" + } + ] + }, + { + "id": 1010, + "data_source": "Mono3DRefer", + "scene_name": "006209", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [549.38, 195.06]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.69, 2.1, 43.52], \"size_3d\": [1.52, 1.73, 4.28]}]\n```" + } + ] + }, + { + "id": 1011, + "data_source": "Mono3DRefer", + "scene_name": "006234", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [454.93, 227.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.32, 1.88, 15.21], \"size_3d\": [1.45, 1.53, 3.98]}]\n```" + } + ] + }, + { + "id": 1012, + "data_source": "Mono3DRefer", + "scene_name": "006234", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [261.33, 219.02]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-10.09, 2.13, 20.78], \"size_3d\": [1.6, 0.54, 1.5]}]\n```" + } + ] + }, + { + "id": 1013, + "data_source": "Mono3DRefer", + "scene_name": "006314", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-126.70, 330.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.93, 1.97, 5.75], \"size_3d\": [1.42, 1.55, 3.85]}]\n```" + } + ] + }, + { + "id": 1014, + "data_source": "Mono3DRefer", + "scene_name": "006314", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [210.01, 258.40]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.92, 1.97, 10.58], \"size_3d\": [1.43, 1.48, 3.71]}]\n```" + } + ] + }, + { + "id": 1015, + "data_source": "Mono3DRefer", + "scene_name": "006314", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [348.61, 229.41]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.01, 1.99, 16.45], \"size_3d\": [1.4, 1.65, 4.02]}]\n```" + } + ] + }, + { + "id": 1016, + "data_source": "Mono3DRefer", + "scene_name": "006314", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1145.72, 187.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.03, 1.07, 12.23], \"size_3d\": [1.64, 1.59, 3.99]}]\n```" + } + ] + }, + { + "id": 1017, + "data_source": "Mono3DRefer", + "scene_name": "006314", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1050.17, 182.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.01, 1.05, 14.85], \"size_3d\": [1.72, 1.68, 2.78]}]\n```" + } + ] + }, + { + "id": 1018, + "data_source": "Mono3DRefer", + "scene_name": "006314", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [976.15, 183.56]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.66, 1.09, 17.16], \"size_3d\": [1.67, 1.67, 3.43]}]\n```" + } + ] + }, + { + "id": 1019, + "data_source": "Mono3DRefer", + "scene_name": "006314", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [906.00, 184.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.15, 1.11, 19.98], \"size_3d\": [1.57, 1.62, 3.69]}]\n```" + } + ] + }, + { + "id": 1020, + "data_source": "Mono3DRefer", + "scene_name": "006314", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [435.88, 211.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.84, 1.99, 24.01], \"size_3d\": [1.43, 1.61, 4.13]}]\n```" + } + ] + }, + { + "id": 1021, + "data_source": "Mono3DRefer", + "scene_name": "006314", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [736.77, 205.83]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.16, 1.57, 18.26], \"size_3d\": [1.47, 1.6, 3.87]}]\n```" + } + ] + }, + { + "id": 1022, + "data_source": "Mono3DRefer", + "scene_name": "006314", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [706.21, 198.14]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.13, 1.62, 23.81], \"size_3d\": [1.57, 1.57, 4.04]}]\n```" + } + ] + }, + { + "id": 1023, + "data_source": "Mono3DRefer", + "scene_name": "006327", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [427.41, 232.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.1, 1.71, 12.04], \"size_3d\": [1.44, 1.68, 4.39]}]\n```" + } + ] + }, + { + "id": 1024, + "data_source": "Mono3DRefer", + "scene_name": "006352", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [328.47, 227.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.55, 1.82, 14.09], \"size_3d\": [1.51, 1.81, 4.07]}]\n```" + } + ] + }, + { + "id": 1025, + "data_source": "Mono3DRefer", + "scene_name": "006352", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [758.40, 181.49]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.48, 1.24, 31.7], \"size_3d\": [1.72, 0.5, 1.67]}]\n```" + } + ] + }, + { + "id": 1026, + "data_source": "Mono3DRefer", + "scene_name": "006359", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [597.52, 188.07]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.95, 1.83, 53.34], \"size_3d\": [1.41, 1.59, 4.47]}]\n```" + } + ] + }, + { + "id": 1027, + "data_source": "Mono3DRefer", + "scene_name": "006391", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [222.81, 273.44]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.73, 1.95, 8.71], \"size_3d\": [1.47, 1.58, 3.55]}]\n```" + } + ] + }, + { + "id": 1028, + "data_source": "Mono3DRefer", + "scene_name": "006391", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [828.50, 207.93]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.62, 1.55, 15.42], \"size_3d\": [1.6, 1.75, 3.89]}]\n```" + } + ] + }, + { + "id": 1029, + "data_source": "Mono3DRefer", + "scene_name": "006391", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1151.32, 205.62]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.11, 1.35, 12.21], \"size_3d\": [1.59, 1.64, 4.03]}]\n```" + } + ] + }, + { + "id": 1030, + "data_source": "Mono3DRefer", + "scene_name": "006391", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [19.35, 278.48]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-8.97, 2.28, 10.89], \"size_3d\": [1.37, 1.7, 4.38]}]\n```" + } + ] + }, + { + "id": 1031, + "data_source": "Mono3DRefer", + "scene_name": "006391", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1070.05, 189.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [11.57, 1.17, 18.22], \"size_3d\": [1.5, 1.8, 4.5]}]\n```" + } + ] + }, + { + "id": 1032, + "data_source": "Mono3DRefer", + "scene_name": "006391", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1012.90, 178.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [15.56, 1.15, 27.94], \"size_3d\": [1.83, 1.75, 4.52]}]\n```" + } + ] + }, + { + "id": 1033, + "data_source": "Mono3DRefer", + "scene_name": "006429", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [360.63, 261.51]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.6, 1.72, 7.36], \"size_3d\": [1.63, 1.6, 3.73]}]\n```" + } + ] + }, + { + "id": 1034, + "data_source": "Mono3DRefer", + "scene_name": "006429", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [960.16, 298.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.58, 1.74, 5.43], \"size_3d\": [1.59, 1.49, 3.34]}]\n```" + } + ] + }, + { + "id": 1035, + "data_source": "Mono3DRefer", + "scene_name": "006429", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [764.08, 241.44]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.26, 1.8, 10.83], \"size_3d\": [1.54, 1.6, 3.52]}]\n```" + } + ] + }, + { + "id": 1036, + "data_source": "Mono3DRefer", + "scene_name": "006429", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [455.46, 225.91]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.76, 1.7, 12.64], \"size_3d\": [1.54, 1.5, 3.48]}]\n```" + } + ] + }, + { + "id": 1037, + "data_source": "Mono3DRefer", + "scene_name": "006429", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [489.38, 214.25]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.02, 1.74, 17.77], \"size_3d\": [1.44, 1.63, 3.32]}]\n```" + } + ] + }, + { + "id": 1038, + "data_source": "Mono3DRefer", + "scene_name": "006429", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [709.97, 212.55]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.38, 1.74, 17.53], \"size_3d\": [1.55, 1.55, 3.27]}]\n```" + } + ] + }, + { + "id": 1039, + "data_source": "Mono3DRefer", + "scene_name": "006429", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [674.59, 203.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.97, 1.69, 22.52], \"size_3d\": [1.48, 1.6, 3.79]}]\n```" + } + ] + }, + { + "id": 1040, + "data_source": "Mono3DRefer", + "scene_name": "006429", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [539.31, 195.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.27, 1.82, 32.97], \"size_3d\": [1.56, 1.55, 3.64]}]\n```" + } + ] + }, + { + "id": 1041, + "data_source": "Mono3DRefer", + "scene_name": "006429", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [558.54, 188.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.79, 1.77, 38.61], \"size_3d\": [1.91, 1.66, 4.22]}]\n```" + } + ] + }, + { + "id": 1042, + "data_source": "Mono3DRefer", + "scene_name": "006429", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [574.56, 187.84]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.22, 1.84, 44.53], \"size_3d\": [1.83, 1.69, 4.28]}]\n```" + } + ] + }, + { + "id": 1043, + "data_source": "Mono3DRefer", + "scene_name": "006554", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [717.90, 177.24]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [9.08, 1.07, 60.87], \"size_3d\": [1.4, 1.55, 4.06]}]\n```" + } + ] + }, + { + "id": 1044, + "data_source": "Mono3DRefer", + "scene_name": "006554", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [2.92, 173.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-17.92, 1.8, 21.24], \"size_3d\": [3.58, 2.81, 10.71]}]\n```" + } + ] + }, + { + "id": 1045, + "data_source": "Mono3DRefer", + "scene_name": "006584", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [426.61, 215.88]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.48, 1.89, 17.43], \"size_3d\": [1.7, 1.72, 4.11]}]\n```" + } + ] + }, + { + "id": 1046, + "data_source": "Mono3DRefer", + "scene_name": "006607", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [492.55, 211.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.61, 1.88, 21.89], \"size_3d\": [1.41, 1.59, 4.47]}]\n```" + } + ] + }, + { + "id": 1047, + "data_source": "Mono3DRefer", + "scene_name": "006617", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [547.80, 181.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.41, 0.78, 29.51], \"size_3d\": [1.5, 1.59, 3.6]}]\n```" + } + ] + }, + { + "id": 1048, + "data_source": "Mono3DRefer", + "scene_name": "006617", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [1023.14, 187.59]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [11.66, 1.13, 19.77], \"size_3d\": [1.86, 0.55, 1.16]}]\n```" + } + ] + }, + { + "id": 1049, + "data_source": "Mono3DRefer", + "scene_name": "006617", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [1027.73, 188.87]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [12.01, 1.16, 20.14], \"size_3d\": [1.84, 0.56, 1.23]}]\n```" + } + ] + }, + { + "id": 1050, + "data_source": "Mono3DRefer", + "scene_name": "006617", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [1320.93, 189.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [20.83, 1.2, 20.6], \"size_3d\": [1.88, 1.82, 4.57]}]\n```" + } + ] + }, + { + "id": 1051, + "data_source": "Mono3DRefer", + "scene_name": "006617", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [564.43, 180.10]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.19, 0.66, 37.97], \"size_3d\": [1.36, 1.57, 4.06]}]\n```" + } + ] + }, + { + "id": 1052, + "data_source": "Mono3DRefer", + "scene_name": "006617", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [595.15, 175.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.94, 0.23, 69.62], \"size_3d\": [1.5, 1.7, 4.45]}]\n```" + } + ] + }, + { + "id": 1053, + "data_source": "Mono3DRefer", + "scene_name": "006659", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: cyclist, the coordinate of center point in the image: [1125.83, 278.09]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.55, 1.66, 6.44], \"size_3d\": [1.44, 0.36, 1.26]}]\n```" + } + ] + }, + { + "id": 1054, + "data_source": "Mono3DRefer", + "scene_name": "006659", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [949.59, 296.75]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.67, 1.68, 5.79], \"size_3d\": [1.37, 1.51, 3.39]}]\n```" + } + ] + }, + { + "id": 1055, + "data_source": "Mono3DRefer", + "scene_name": "006659", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [792.98, 228.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.76, 1.72, 11.09], \"size_3d\": [1.74, 1.66, 4.23]}]\n```" + } + ] + }, + { + "id": 1056, + "data_source": "Mono3DRefer", + "scene_name": "006659", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [540.18, 201.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.51, 1.79, 25.48], \"size_3d\": [1.55, 1.68, 4.42]}]\n```" + } + ] + }, + { + "id": 1057, + "data_source": "Mono3DRefer", + "scene_name": "006659", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [702.06, 191.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.23, 1.68, 25.66], \"size_3d\": [2.0, 1.76, 4.61]}]\n```" + } + ] + }, + { + "id": 1058, + "data_source": "Mono3DRefer", + "scene_name": "006659", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [678.52, 196.20]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.1, 1.87, 33.06], \"size_3d\": [1.6, 1.53, 4.18]}]\n```" + } + ] + }, + { + "id": 1059, + "data_source": "Mono3DRefer", + "scene_name": "006691", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [498.93, 210.63]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.28, 1.84, 21.0], \"size_3d\": [1.48, 1.87, 4.42]}]\n```" + } + ] + }, + { + "id": 1060, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [115.03, 324.59]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.66, 1.81, 5.25], \"size_3d\": [1.41, 1.76, 4.4]}]\n```" + } + ] + }, + { + "id": 1061, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-202.58, 323.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.67, 1.94, 5.87], \"size_3d\": [1.43, 1.7, 3.74]}]\n```" + } + ] + }, + { + "id": 1062, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [680.10, 199.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.62, 1.8, 27.41], \"size_3d\": [1.55, 1.66, 4.15]}]\n```" + } + ] + }, + { + "id": 1063, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [384.67, 237.96]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.91, 1.82, 12.35], \"size_3d\": [1.41, 1.66, 3.35]}]\n```" + } + ] + }, + { + "id": 1064, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [897.21, 193.64]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.03, 1.32, 20.29], \"size_3d\": [1.47, 1.7, 4.65]}]\n```" + } + ] + }, + { + "id": 1065, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [860.89, 185.08]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [8.05, 1.35, 23.28], \"size_3d\": [1.91, 1.81, 4.33]}]\n```" + } + ] + }, + { + "id": 1066, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [460.85, 202.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.53, 2.11, 31.39], \"size_3d\": [1.63, 1.61, 3.81]}]\n```" + } + ] + }, + { + "id": 1067, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [388.41, 218.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.35, 2.01, 20.52], \"size_3d\": [1.43, 1.57, 3.48]}]\n```" + } + ] + }, + { + "id": 1068, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [802.42, 185.47]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.81, 1.33, 29.44], \"size_3d\": [1.63, 1.67, 4.32]}]\n```" + } + ] + }, + { + "id": 1069, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [498.05, 197.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.69, 2.24, 42.9], \"size_3d\": [1.53, 1.68, 3.86]}]\n```" + } + ] + }, + { + "id": 1070, + "data_source": "Mono3DRefer", + "scene_name": "006733", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [1152.24, 162.85]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [22.19, 0.62, 29.58], \"size_3d\": [2.06, 2.07, 4.94]}]\n```" + } + ] + }, + { + "id": 1071, + "data_source": "Mono3DRefer", + "scene_name": "006735", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [392.28, 252.86]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.06, 1.99, 9.96], \"size_3d\": [1.77, 1.75, 4.67]}]\n```" + } + ] + }, + { + "id": 1072, + "data_source": "Mono3DRefer", + "scene_name": "006735", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [520.24, 218.54]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.64, 2.12, 20.84], \"size_3d\": [1.6, 1.68, 3.94]}]\n```" + } + ] + }, + { + "id": 1073, + "data_source": "Mono3DRefer", + "scene_name": "006735", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [584.03, 200.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.82, 2.59, 49.75], \"size_3d\": [1.42, 1.66, 4.11]}]\n```" + } + ] + }, + { + "id": 1074, + "data_source": "Mono3DRefer", + "scene_name": "006735", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1363.02, 194.29]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [7.66, 1.05, 7.39], \"size_3d\": [1.66, 1.15, 3.39]}]\n```" + } + ] + }, + { + "id": 1075, + "data_source": "Mono3DRefer", + "scene_name": "006743", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [588.67, 200.16]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-0.79, 1.76, 25.22], \"size_3d\": [1.61, 1.66, 3.2]}]\n```" + } + ] + }, + { + "id": 1076, + "data_source": "Mono3DRefer", + "scene_name": "006743", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [542.90, 187.33]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-7.15, 2.37, 76.74], \"size_3d\": [1.66, 1.61, 3.46]}]\n```" + } + ] + }, + { + "id": 1077, + "data_source": "Mono3DRefer", + "scene_name": "006743", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [862.06, 179.58]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [18.31, 1.17, 52.49], \"size_3d\": [1.36, 1.5, 4.21]}]\n```" + } + ] + }, + { + "id": 1078, + "data_source": "Mono3DRefer", + "scene_name": "006743", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [896.05, 174.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [18.48, 0.99, 46.69], \"size_3d\": [1.78, 1.87, 4.98]}]\n```" + } + ] + }, + { + "id": 1079, + "data_source": "Mono3DRefer", + "scene_name": "006743", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [991.37, 173.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [18.6, 1.0, 35.26], \"size_3d\": [1.97, 2.16, 5.31]}]\n```" + } + ] + }, + { + "id": 1080, + "data_source": "Mono3DRefer", + "scene_name": "006743", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [1161.76, 161.36]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [18.7, 0.77, 24.51], \"size_3d\": [2.32, 2.3, 5.87]}]\n```" + } + ] + }, + { + "id": 1081, + "data_source": "Mono3DRefer", + "scene_name": "006774", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [515.01, 201.02]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.5, 2.01, 26.25], \"size_3d\": [1.97, 1.87, 4.53]}]\n```" + } + ] + }, + { + "id": 1082, + "data_source": "Mono3DRefer", + "scene_name": "006774", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [557.45, 192.60]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.7, 2.23, 50.4], \"size_3d\": [1.7, 1.53, 3.82]}]\n```" + } + ] + }, + { + "id": 1083, + "data_source": "Mono3DRefer", + "scene_name": "006784", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [556.72, 202.70]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.14, 2.58, 42.06], \"size_3d\": [1.68, 1.63, 3.9]}]\n```" + } + ] + }, + { + "id": 1084, + "data_source": "Mono3DRefer", + "scene_name": "006799", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [324.75, 238.40]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.14, 1.5, 7.79], \"size_3d\": [1.72, 0.65, 1.02]}]\n```" + } + ] + }, + { + "id": 1085, + "data_source": "Mono3DRefer", + "scene_name": "006857", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [150.20, 250.17]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.95, 1.9, 10.82], \"size_3d\": [1.48, 1.61, 3.61]}]\n```" + } + ] + }, + { + "id": 1086, + "data_source": "Mono3DRefer", + "scene_name": "006857", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [629.76, 186.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.42, 1.75, 52.85], \"size_3d\": [1.54, 1.63, 3.67]}]\n```" + } + ] + }, + { + "id": 1087, + "data_source": "Mono3DRefer", + "scene_name": "006857", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [505.12, 193.15]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.49, 2.03, 44.42], \"size_3d\": [1.56, 1.59, 3.69]}]\n```" + } + ] + }, + { + "id": 1088, + "data_source": "Mono3DRefer", + "scene_name": "006857", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [525.65, 187.03]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.77, 1.93, 49.1], \"size_3d\": [1.93, 1.59, 4.01]}]\n```" + } + ] + }, + { + "id": 1089, + "data_source": "Mono3DRefer", + "scene_name": "006857", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [669.82, 185.42]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.35, 1.71, 52.8], \"size_3d\": [1.58, 1.67, 3.84]}]\n```" + } + ] + }, + { + "id": 1090, + "data_source": "Mono3DRefer", + "scene_name": "006872", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [315.73, 213.12]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.82, 1.47, 12.01], \"size_3d\": [1.88, 0.69, 0.47]}]\n```" + } + ] + }, + { + "id": 1091, + "data_source": "Mono3DRefer", + "scene_name": "006872", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [611.20, 205.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.2, 1.33, 17.25], \"size_3d\": [1.51, 1.01, 0.97]}]\n```" + } + ] + }, + { + "id": 1092, + "data_source": "Mono3DRefer", + "scene_name": "006872", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [498.46, 205.50]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.39, 1.38, 16.42], \"size_3d\": [1.66, 0.65, 0.72]}]\n```" + } + ] + }, + { + "id": 1093, + "data_source": "Mono3DRefer", + "scene_name": "006872", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [556.21, 197.11]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.33, 1.31, 20.65], \"size_3d\": [1.72, 0.88, 0.9]}]\n```" + } + ] + }, + { + "id": 1094, + "data_source": "Mono3DRefer", + "scene_name": "006872", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [630.44, 190.66]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.97, 1.2, 24.61], \"size_3d\": [1.77, 0.94, 0.93]}]\n```" + } + ] + }, + { + "id": 1095, + "data_source": "Mono3DRefer", + "scene_name": "006872", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [615.80, 186.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [0.63, 1.1, 32.15], \"size_3d\": [1.73, 0.67, 0.83]}]\n```" + } + ] + }, + { + "id": 1096, + "data_source": "Mono3DRefer", + "scene_name": "006872", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [936.66, 199.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.9, 1.44, 6.32], \"size_3d\": [2.56, 2.06, 5.87]}]\n```" + } + ] + }, + { + "id": 1097, + "data_source": "Mono3DRefer", + "scene_name": "006890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [527.72, 201.74]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.6, 2.01, 31.21], \"size_3d\": [1.52, 1.73, 4.28]}]\n```" + } + ] + }, + { + "id": 1098, + "data_source": "Mono3DRefer", + "scene_name": "006890", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [562.56, 190.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.65, 2.07, 55.11], \"size_3d\": [1.44, 1.7, 3.65]}]\n```" + } + ] + }, + { + "id": 1099, + "data_source": "Mono3DRefer", + "scene_name": "006905", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [467.22, 226.09]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.12, 1.97, 15.51], \"size_3d\": [1.65, 1.75, 3.39]}]\n```" + } + ] + }, + { + "id": 1100, + "data_source": "Mono3DRefer", + "scene_name": "006905", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [502.77, 213.20]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.46, 2.07, 22.97], \"size_3d\": [1.57, 1.54, 4.01]}]\n```" + } + ] + }, + { + "id": 1101, + "data_source": "Mono3DRefer", + "scene_name": "006941", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [276.91, 241.81]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.76, 1.51, 7.99], \"size_3d\": [1.63, 0.4, 0.97]}]\n```" + } + ] + }, + { + "id": 1102, + "data_source": "Mono3DRefer", + "scene_name": "007024", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [505.68, 205.57]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.98, 1.63, 20.28], \"size_3d\": [1.42, 1.66, 4.11]}]\n```" + } + ] + }, + { + "id": 1103, + "data_source": "Mono3DRefer", + "scene_name": "007024", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [578.01, 170.17]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.94, 0.74, 65.86], \"size_3d\": [1.97, 1.87, 4.53]}]\n```" + } + ] + }, + { + "id": 1104, + "data_source": "Mono3DRefer", + "scene_name": "007057", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [253.55, 195.45]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-18.49, 1.88, 37.35], \"size_3d\": [1.42, 1.7, 4.14]}]\n```" + } + ] + }, + { + "id": 1105, + "data_source": "Mono3DRefer", + "scene_name": "007057", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [198.53, 193.82]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-21.23, 1.84, 37.16], \"size_3d\": [1.52, 1.71, 4.11]}]\n```" + } + ] + }, + { + "id": 1106, + "data_source": "Mono3DRefer", + "scene_name": "007057", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [97.12, 204.21]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-17.54, 1.78, 24.61], \"size_3d\": [1.42, 1.55, 3.45]}]\n```" + } + ] + }, + { + "id": 1107, + "data_source": "Mono3DRefer", + "scene_name": "007069", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [686.20, 198.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.21, 1.79, 30.78], \"size_3d\": [1.41, 1.65, 4.28]}]\n```" + } + ] + }, + { + "id": 1108, + "data_source": "Mono3DRefer", + "scene_name": "007069", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [460.53, 189.27]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.73, 1.62, 27.45], \"size_3d\": [1.99, 1.8, 4.96]}]\n```" + } + ] + }, + { + "id": 1109, + "data_source": "Mono3DRefer", + "scene_name": "007069", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [449.90, 198.73]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.61, 1.62, 25.08], \"size_3d\": [1.44, 1.8, 4.44]}]\n```" + } + ] + }, + { + "id": 1110, + "data_source": "Mono3DRefer", + "scene_name": "007069", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [395.50, 207.41]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.19, 1.74, 20.66], \"size_3d\": [1.5, 1.8, 4.5]}]\n```" + } + ] + }, + { + "id": 1111, + "data_source": "Mono3DRefer", + "scene_name": "007069", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [377.29, 213.67]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.72, 1.76, 17.58], \"size_3d\": [1.53, 1.8, 4.22]}]\n```" + } + ] + }, + { + "id": 1112, + "data_source": "Mono3DRefer", + "scene_name": "007069", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [346.66, 219.26]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.61, 1.73, 15.23], \"size_3d\": [1.5, 1.46, 3.95]}]\n```" + } + ] + }, + { + "id": 1113, + "data_source": "Mono3DRefer", + "scene_name": "007069", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [282.73, 225.05]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.85, 1.69, 12.78], \"size_3d\": [1.53, 1.64, 3.6]}]\n```" + } + ] + }, + { + "id": 1114, + "data_source": "Mono3DRefer", + "scene_name": "007069", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [-10.18, 261.56]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-6.59, 1.7, 7.6], \"size_3d\": [1.53, 1.51, 3.38]}]\n```" + } + ] + }, + { + "id": 1115, + "data_source": "Mono3DRefer", + "scene_name": "007069", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: truck, the coordinate of center point in the image: [662.14, 182.97]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.37, 1.86, 47.06], \"size_3d\": [2.4, 2.5, 6.54]}]\n```" + } + ] + }, + { + "id": 1116, + "data_source": "Mono3DRefer", + "scene_name": "007075", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [1035.86, 220.40]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [5.17, 1.43, 8.56], \"size_3d\": [1.89, 0.48, 1.2]}]\n```" + } + ] + }, + { + "id": 1117, + "data_source": "Mono3DRefer", + "scene_name": "007086", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [571.42, 187.95]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.47, 2.07, 64.52], \"size_3d\": [1.44, 1.72, 4.14]}]\n```" + } + ] + }, + { + "id": 1118, + "data_source": "Mono3DRefer", + "scene_name": "007131", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [870.09, 250.64]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.92, 1.7, 8.25], \"size_3d\": [1.62, 1.58, 3.89]}]\n```" + } + ] + }, + { + "id": 1119, + "data_source": "Mono3DRefer", + "scene_name": "007131", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [473.47, 222.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.88, 1.76, 14.95], \"size_3d\": [1.45, 1.67, 4.43]}]\n```" + } + ] + }, + { + "id": 1120, + "data_source": "Mono3DRefer", + "scene_name": "007131", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [754.02, 223.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.96, 1.79, 15.08], \"size_3d\": [1.47, 1.59, 3.62]}]\n```" + } + ] + }, + { + "id": 1121, + "data_source": "Mono3DRefer", + "scene_name": "007131", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [505.22, 207.51]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.1, 1.79, 21.02], \"size_3d\": [1.56, 1.68, 3.69]}]\n```" + } + ] + }, + { + "id": 1122, + "data_source": "Mono3DRefer", + "scene_name": "007131", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [710.66, 209.35]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.82, 1.76, 20.55], \"size_3d\": [1.44, 1.64, 4.5]}]\n```" + } + ] + }, + { + "id": 1123, + "data_source": "Mono3DRefer", + "scene_name": "007131", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [543.59, 198.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.78, 1.78, 29.75], \"size_3d\": [1.46, 1.51, 3.24]}]\n```" + } + ] + }, + { + "id": 1124, + "data_source": "Mono3DRefer", + "scene_name": "007131", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [683.41, 195.31]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.49, 1.77, 34.68], \"size_3d\": [1.38, 1.59, 4.19]}]\n```" + } + ] + }, + { + "id": 1125, + "data_source": "Mono3DRefer", + "scene_name": "007131", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [664.74, 188.23]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.12, 1.92, 54.65], \"size_3d\": [1.51, 1.56, 3.81]}]\n```" + } + ] + }, + { + "id": 1126, + "data_source": "Mono3DRefer", + "scene_name": "007131", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [657.77, 182.32]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.42, 2.07, 67.05], \"size_3d\": [2.38, 1.98, 5.62]}]\n```" + } + ] + }, + { + "id": 1127, + "data_source": "Mono3DRefer", + "scene_name": "007149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [501.92, 221.78]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.38, 1.72, 15.55], \"size_3d\": [1.33, 1.71, 4.09]}]\n```" + } + ] + }, + { + "id": 1128, + "data_source": "Mono3DRefer", + "scene_name": "007149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [816.74, 183.64]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.2, 1.46, 11.35], \"size_3d\": [2.58, 1.87, 6.44]}]\n```" + } + ] + }, + { + "id": 1129, + "data_source": "Mono3DRefer", + "scene_name": "007149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [697.32, 190.37]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.52, 1.46, 29.43], \"size_3d\": [1.49, 1.56, 4.34]}]\n```" + } + ] + }, + { + "id": 1130, + "data_source": "Mono3DRefer", + "scene_name": "007149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [546.86, 202.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-2.19, 1.71, 24.51], \"size_3d\": [1.42, 1.53, 4.12]}]\n```" + } + ] + }, + { + "id": 1131, + "data_source": "Mono3DRefer", + "scene_name": "007149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [750.16, 209.04]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.3, 1.66, 17.24], \"size_3d\": [1.59, 1.59, 3.89]}]\n```" + } + ] + }, + { + "id": 1132, + "data_source": "Mono3DRefer", + "scene_name": "007149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [670.02, 185.00]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.82, 1.47, 46.3], \"size_3d\": [1.38, 1.64, 3.51]}]\n```" + } + ] + }, + { + "id": 1133, + "data_source": "Mono3DRefer", + "scene_name": "007149", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [948.47, 214.83]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.53, 1.33, 7.64], \"size_3d\": [1.77, 0.57, 0.42]}]\n```" + } + ] + }, + { + "id": 1134, + "data_source": "Mono3DRefer", + "scene_name": "007150", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: pedestrian, the coordinate of center point in the image: [982.56, 219.72]. Additionally, known the camera intrinsic parameters: (fx, fy) = (707.05, 707.05), (cx, cy) = (604.08, 180.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [4.99, 1.4, 9.43], \"size_3d\": [1.75, 0.43, 0.89]}]\n```" + } + ] + }, + { + "id": 1135, + "data_source": "Mono3DRefer", + "scene_name": "007282", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [847.31, 245.52]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [2.9, 1.69, 8.98], \"size_3d\": [1.57, 1.73, 4.15]}]\n```" + } + ] + }, + { + "id": 1136, + "data_source": "Mono3DRefer", + "scene_name": "007298", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [470.71, 204.46]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-5.11, 1.89, 26.24], \"size_3d\": [1.48, 1.61, 3.61]}]\n```" + } + ] + }, + { + "id": 1137, + "data_source": "Mono3DRefer", + "scene_name": "007298", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [585.98, 188.65]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.94, 2.04, 57.53], \"size_3d\": [1.56, 1.59, 3.69]}]\n```" + } + ] + }, + { + "id": 1138, + "data_source": "Mono3DRefer", + "scene_name": "007311", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [126.08, 307.18]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.01, 1.67, 4.4], \"size_3d\": [1.7, 1.63, 4.08]}]\n```" + } + ] + }, + { + "id": 1139, + "data_source": "Mono3DRefer", + "scene_name": "007311", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [434.62, 233.68]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.05, 1.74, 12.33], \"size_3d\": [1.4, 1.67, 3.72]}]\n```" + } + ] + }, + { + "id": 1140, + "data_source": "Mono3DRefer", + "scene_name": "007311", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [656.80, 202.40]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.85, 1.94, 29.17], \"size_3d\": [1.49, 1.61, 3.74]}]\n```" + } + ] + }, + { + "id": 1141, + "data_source": "Mono3DRefer", + "scene_name": "007311", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: van, the coordinate of center point in the image: [557.01, 188.63]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-3.54, 1.97, 47.78], \"size_3d\": [1.85, 1.84, 4.06]}]\n```" + } + ] + }, + { + "id": 1142, + "data_source": "Mono3DRefer", + "scene_name": "007384", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [1015.12, 295.39]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [3.05, 1.77, 5.53], \"size_3d\": [1.66, 1.56, 3.42]}]\n```" + } + ] + }, + { + "id": 1143, + "data_source": "Mono3DRefer", + "scene_name": "007384", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [581.07, 200.61]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-1.06, 1.7, 25.33], \"size_3d\": [1.45, 1.64, 4.21]}]\n```" + } + ] + }, + { + "id": 1144, + "data_source": "Mono3DRefer", + "scene_name": "007384", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [742.70, 195.28]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [6.41, 1.9, 35.06], \"size_3d\": [1.62, 1.58, 3.89]}]\n```" + } + ] + }, + { + "id": 1145, + "data_source": "Mono3DRefer", + "scene_name": "007384", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [629.45, 190.45]. Additionally, known the camera intrinsic parameters: (fx, fy) = (721.54, 721.54), (cx, cy) = (609.56, 172.85). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [1.11, 1.76, 42.43], \"size_3d\": [1.45, 1.67, 4.43]}]\n```" + } + ] + }, + { + "id": 1146, + "data_source": "Mono3DRefer", + "scene_name": "007399", + "question_type": "point_ind_obj_3dIOU_json", + "conversations": [ + { + "from": "human", + "value": "I hope you can play the role of understanding the target object in this scene: Target object: car, the coordinate of center point in the image: [404.86, 210.80]. Additionally, known the camera intrinsic parameters: (fx, fy) = (718.34, 718.34), (cx, cy) = (600.39, 181.51). You'll uderstand the meaning from the phrases I have provided, and answer the 3D attributes of the target object with JSON format including: \n- position_3d (x, y, z) in meters, where x and y are the coordinates of center point of the object's upper plane in the real-world coordinate system, and z is the distance from the camera to the object center.\n- size_3d (height, width, length) in meters, whether the object is obscured or truncated, please estimate the full size of the object.\n\nNoting the answered JSON format should be like: \n```JSON\n[{\"position_3d\": [x, y, z], \"size_3d\": [height, width, length]}]\n```" + }, + { + "from": "gpt", + "value": "```JSON\n[{\"position_3d\": [-4.99, 1.45, 18.11], \"size_3d\": [1.42, 1.78, 3.62]}]\n```" + } + ] + } +] \ No newline at end of file