[
    {
        "id": 0,
        "data_source": "Mono3DRefer",
        "scene_name": "000004",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.96, \"bbox_2d\": [280.38, 185.1, 344.9, 215.59], \"bbox_3d\": [1.49, 1.76, 4.01, -15.71, 2.16, 38.26], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.88, \"bbox_2d\": [365.14, 184.54, 406.11, 205.2], \"bbox_3d\": [1.38, 1.8, 3.41, -15.89, 2.23, 51.17], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 1,
        "data_source": "Mono3DRefer",
        "scene_name": "000004_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.18, \"bbox_2d\": [897.1, 185.1, 961.62, 215.59], \"bbox_3d\": [1.49, 1.76, 4.01, 16.86, 2.16, 38.26], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.26, \"bbox_2d\": [835.89, 184.54, 876.86, 205.2], \"bbox_3d\": [1.38, 1.8, 3.41, 17.45, 2.23, 51.17], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 2,
        "data_source": "Mono3DRefer",
        "scene_name": "000002",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [657.39, 190.13, 700.07, 223.39], \"bbox_3d\": [1.41, 1.58, 4.36, 3.18, 2.27, 34.38], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 3,
        "data_source": "Mono3DRefer",
        "scene_name": "000002_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [541.93, 190.13, 584.61, 223.39], \"bbox_3d\": [1.41, 1.58, 4.36, -2.15, 2.27, 34.38], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 4,
        "data_source": "Mono3DRefer",
        "scene_name": "000031",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.35, \"bbox_2d\": [334.28, 180.65, 490.02, 297.48], \"bbox_3d\": [1.65, 1.67, 3.81, -3.18, 1.79, 12.2], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.93, \"bbox_2d\": [785.85, 179.67, 1028.82, 340.75], \"bbox_3d\": [1.52, 1.51, 3.1, 3.18, 1.61, 8.46], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.8, \"bbox_2d\": [711.98, 179.65, 848.82, 277.62], \"bbox_3d\": [1.53, 1.58, 3.53, 2.9, 1.66, 13.14], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [660.82, 178.72, 713.09, 222.03], \"bbox_3d\": [1.46, 1.6, 3.71, 2.71, 1.69, 26.41], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 5,
        "data_source": "Mono3DRefer",
        "scene_name": "000031_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.79, \"bbox_2d\": [751.98, 180.65, 907.72, 297.48], \"bbox_3d\": [1.65, 1.67, 3.81, 3.5, 1.79, 12.2], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.21, \"bbox_2d\": [213.18, 179.67, 456.15, 340.75], \"bbox_3d\": [1.52, 1.51, 3.1, -2.97, 1.61, 8.46], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.34, \"bbox_2d\": [393.18, 179.65, 530.02, 277.62], \"bbox_3d\": [1.53, 1.58, 3.53, -2.55, 1.66, 13.14], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [528.91, 178.72, 581.18, 222.03], \"bbox_3d\": [1.46, 1.6, 3.71, -1.93, 1.69, 26.41], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 6,
        "data_source": "Mono3DRefer",
        "scene_name": "000037",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [555.85, 173.64, 628.69, 240.05], \"bbox_3d\": [1.6, 1.76, 3.84, -0.45, 1.32, 19.43], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.46, \"bbox_2d\": [473.07, 183.18, 535.73, 226.04], \"bbox_3d\": [1.3, 1.61, 4.39, -3.46, 1.24, 24.49], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 7,
        "data_source": "Mono3DRefer",
        "scene_name": "000037_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [612.31, 173.64, 685.15, 240.05], \"bbox_3d\": [1.6, 1.76, 3.84, 1.11, 1.32, 19.43], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.68, \"bbox_2d\": [705.27, 183.18, 767.93, 226.04], \"bbox_3d\": [1.3, 1.61, 4.39, 4.3, 1.24, 24.49], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 8,
        "data_source": "Mono3DRefer",
        "scene_name": "000050",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.75, \"bbox_2d\": [683.34, 170.98, 803.44, 257.43], \"bbox_3d\": [1.49, 1.56, 4.34, 2.51, 1.49, 14.75], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.31, \"bbox_2d\": [262.97, 182.23, 469.76, 318.0], \"bbox_3d\": [1.42, 1.53, 4.12, -3.06, 1.56, 9.79], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": -2.37, \"bbox_2d\": [910.25, 159.81, 1241.0, 374.0], \"bbox_3d\": [1.59, 1.59, 3.89, 2.61, 1.55, 2.39], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [641.55, 172.79, 681.44, 206.29], \"bbox_3d\": [1.38, 1.64, 3.51, 2.22, 1.4, 31.72], \"ry\": -1.51}]\n```"
            }
        ]
    },
    {
        "id": 9,
        "data_source": "Mono3DRefer",
        "scene_name": "000050_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.39, \"bbox_2d\": [438.56, 170.98, 558.66, 257.43], \"bbox_3d\": [1.49, 1.56, 4.34, -2.1, 1.49, 14.75], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.83, \"bbox_2d\": [772.24, 182.23, 979.03, 318.0], \"bbox_3d\": [1.42, 1.53, 4.12, 3.31, 1.56, 9.79], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": -0.77, \"bbox_2d\": [1.0, 159.81, 331.75, 374.0], \"bbox_3d\": [1.59, 1.59, 3.89, -2.6, 1.55, 2.39], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [560.56, 172.79, 600.45, 206.29], \"bbox_3d\": [1.38, 1.64, 3.51, -1.28, 1.4, 31.72], \"ry\": -1.63}]\n```"
            }
        ]
    },
    {
        "id": 10,
        "data_source": "Mono3DRefer",
        "scene_name": "000126",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.77, \"bbox_2d\": [315.89, 189.95, 441.04, 267.24], \"bbox_3d\": [1.34, 1.64, 4.57, -4.85, 1.75, 15.6], \"ry\": 1.47}]\n```"
            }
        ]
    },
    {
        "id": 11,
        "data_source": "Mono3DRefer",
        "scene_name": "000126_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.37, \"bbox_2d\": [800.96, 189.95, 926.11, 267.24], \"bbox_3d\": [1.34, 1.64, 4.57, 5.28, 1.75, 15.6], \"ry\": 1.67}]\n```"
            }
        ]
    },
    {
        "id": 12,
        "data_source": "Mono3DRefer",
        "scene_name": "000140",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.77, \"bbox_2d\": [706.99, 162.59, 820.15, 248.79], \"bbox_3d\": [1.69, 1.64, 4.21, 3.29, 1.52, 16.43], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [453.95, 179.06, 526.72, 235.16], \"bbox_3d\": [1.55, 1.64, 3.7, -3.6, 1.75, 22.01], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.44, \"bbox_2d\": [550.54, 173.16, 603.7, 211.98], \"bbox_3d\": [1.63, 1.81, 4.54, -1.45, 1.68, 32.89], \"ry\": -1.48}, {\"label\": \"car\", \"angle\": -1.3, \"bbox_2d\": [685.71, 170.0, 744.25, 209.05], \"bbox_3d\": [1.47, 1.54, 3.02, 4.2, 1.38, 28.79], \"ry\": -1.15}]\n```"
            }
        ]
    },
    {
        "id": 13,
        "data_source": "Mono3DRefer",
        "scene_name": "000140_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.37, \"bbox_2d\": [421.85, 162.59, 535.01, 248.79], \"bbox_3d\": [1.69, 1.64, 4.21, -2.83, 1.52, 16.43], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [715.28, 179.06, 788.05, 235.16], \"bbox_3d\": [1.55, 1.64, 3.7, 4.24, 1.75, 22.01], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.7, \"bbox_2d\": [638.3, 173.16, 691.46, 211.98], \"bbox_3d\": [1.63, 1.81, 4.54, 2.43, 1.68, 32.89], \"ry\": -1.66}, {\"label\": \"car\", \"angle\": -1.84, \"bbox_2d\": [497.75, 170.0, 556.29, 209.05], \"bbox_3d\": [1.47, 1.54, 3.02, -3.35, 1.38, 28.79], \"ry\": -1.99}]\n```"
            }
        ]
    },
    {
        "id": 14,
        "data_source": "Mono3DRefer",
        "scene_name": "000152",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.22, \"bbox_2d\": [45.07, 196.83, 447.49, 374.0], \"bbox_3d\": [1.5, 1.55, 4.21, -2.67, 1.77, 6.37], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.93, \"bbox_2d\": [751.85, 155.9, 1136.5, 374.0], \"bbox_3d\": [1.82, 1.65, 3.67, 2.41, 1.74, 6.35], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -1.8, \"bbox_2d\": [711.29, 186.05, 878.68, 307.07], \"bbox_3d\": [1.52, 1.51, 4.28, 2.66, 1.76, 11.53], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [453.56, 185.34, 532.94, 243.89], \"bbox_3d\": [1.42, 1.57, 4.1, -3.18, 1.79, 20.12], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.78, \"bbox_2d\": [662.72, 183.71, 773.72, 256.63], \"bbox_3d\": [1.43, 1.64, 4.14, 2.29, 1.7, 16.6], \"ry\": -1.64}, {\"label\": \"car\", \"angle\": 1.62, \"bbox_2d\": [533.48, 179.04, 563.54, 204.53], \"bbox_3d\": [1.38, 1.53, 3.58, -3.51, 1.74, 41.26], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [628.63, 176.51, 657.81, 200.82], \"bbox_3d\": [1.49, 1.65, 4.06, 2.09, 1.75, 46.82], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 15,
        "data_source": "Mono3DRefer",
        "scene_name": "000152_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.92, \"bbox_2d\": [794.51, 196.83, 1196.93, 374.0], \"bbox_3d\": [1.5, 1.55, 4.21, 2.81, 1.77, 6.37], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.21, \"bbox_2d\": [105.5, 155.9, 490.15, 374.0], \"bbox_3d\": [1.82, 1.65, 3.67, -2.27, 1.74, 6.35], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.34, \"bbox_2d\": [363.32, 186.05, 530.71, 307.07], \"bbox_3d\": [1.52, 1.51, 4.28, -2.36, 1.76, 11.53], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [709.06, 185.34, 788.44, 243.89], \"bbox_3d\": [1.42, 1.57, 4.1, 3.76, 1.79, 20.12], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.36, \"bbox_2d\": [468.28, 183.71, 579.28, 256.63], \"bbox_3d\": [1.43, 1.64, 4.14, -1.83, 1.7, 16.6], \"ry\": -1.5}, {\"label\": \"car\", \"angle\": 1.52, \"bbox_2d\": [678.46, 179.04, 708.52, 204.53], \"bbox_3d\": [1.38, 1.53, 3.58, 4.76, 1.74, 41.26], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [584.19, 176.51, 613.37, 200.82], \"bbox_3d\": [1.49, 1.65, 4.06, -0.67, 1.75, 46.82], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 16,
        "data_source": "Mono3DRefer",
        "scene_name": "000159",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.78, \"bbox_2d\": [748.38, 163.3, 893.8, 265.27], \"bbox_3d\": [1.77, 1.77, 5.1, 4.15, 1.64, 15.19], \"ry\": -1.52}, {\"label\": \"car\", \"angle\": 2.22, \"bbox_2d\": [0.0, 208.68, 267.12, 374.0], \"bbox_3d\": [1.39, 1.55, 3.65, -4.59, 1.77, 6.02], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.99, \"bbox_2d\": [170.35, 187.87, 405.54, 313.74], \"bbox_3d\": [1.46, 1.63, 3.92, -4.5, 1.72, 10.67], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.73, \"bbox_2d\": [526.48, 173.25, 570.3, 203.47], \"bbox_3d\": [1.47, 1.66, 3.76, -3.16, 1.51, 37.26], \"ry\": 1.65}, {\"label\": \"car\", \"angle\": -1.71, \"bbox_2d\": [724.84, 176.54, 802.29, 229.29], \"bbox_3d\": [1.41, 1.66, 3.86, 4.4, 1.53, 21.35], \"ry\": -1.51}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [709.33, 170.79, 767.58, 216.55], \"bbox_3d\": [1.59, 1.59, 3.34, 4.7, 1.54, 26.99], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [702.15, 170.78, 747.12, 206.15], \"bbox_3d\": [1.47, 1.6, 3.7, 5.03, 1.41, 32.2], \"ry\": -1.51}, {\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [591.95, 170.23, 614.45, 187.15], \"bbox_3d\": [1.45, 1.6, 3.2, -0.6, 1.25, 64.3], \"ry\": 1.69}]\n```"
            }
        ]
    },
    {
        "id": 17,
        "data_source": "Mono3DRefer",
        "scene_name": "000159_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.36, \"bbox_2d\": [348.2, 163.3, 493.62, 265.27], \"bbox_3d\": [1.77, 1.77, 5.1, -3.73, 1.64, 15.19], \"ry\": -1.62}, {\"label\": \"car\", \"angle\": 0.92, \"bbox_2d\": [974.88, 208.68, 1242.0, 374.0], \"bbox_3d\": [1.39, 1.55, 3.65, 4.72, 1.77, 6.02], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.15, \"bbox_2d\": [836.46, 187.87, 1071.65, 313.74], \"bbox_3d\": [1.46, 1.63, 3.92, 4.78, 1.72, 10.67], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.41, \"bbox_2d\": [671.7, 173.25, 715.52, 203.47], \"bbox_3d\": [1.47, 1.66, 3.76, 4.28, 1.51, 37.26], \"ry\": 1.49}, {\"label\": \"car\", \"angle\": -1.43, \"bbox_2d\": [439.71, 176.54, 517.16, 229.29], \"bbox_3d\": [1.41, 1.66, 3.86, -3.79, 1.53, 21.35], \"ry\": -1.63}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [474.42, 170.79, 532.67, 216.55], \"bbox_3d\": [1.59, 1.59, 3.34, -3.91, 1.54, 26.99], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [494.88, 170.78, 539.85, 206.15], \"bbox_3d\": [1.47, 1.6, 3.7, -4.07, 1.41, 32.2], \"ry\": -1.63}, {\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [627.55, 170.23, 650.05, 187.15], \"bbox_3d\": [1.45, 1.6, 3.2, 2.58, 1.25, 64.3], \"ry\": 1.45}]\n```"
            }
        ]
    },
    {
        "id": 18,
        "data_source": "Mono3DRefer",
        "scene_name": "000001",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.85, \"bbox_2d\": [387.63, 181.54, 423.81, 203.12], \"bbox_3d\": [1.67, 1.87, 3.69, -16.53, 2.39, 58.49], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 19,
        "data_source": "Mono3DRefer",
        "scene_name": "000001_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.29, \"bbox_2d\": [818.19, 181.54, 854.37, 203.12], \"bbox_3d\": [1.67, 1.87, 3.69, 18.32, 2.39, 58.49], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 20,
        "data_source": "Mono3DRefer",
        "scene_name": "000175",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.48, \"bbox_2d\": [468.64, 185.01, 511.46, 223.67], \"bbox_3d\": [1.57, 1.55, 3.32, -5.25, 2.12, 31.67], \"ry\": -1.64}, {\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [481.92, 183.05, 522.33, 214.58], \"bbox_3d\": [1.56, 1.68, 3.91, -5.7, 2.11, 38.31], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": -3.0, \"bbox_2d\": [264.63, 175.08, 408.71, 229.38], \"bbox_3d\": [1.77, 1.73, 4.53, -9.53, 1.88, 25.41], \"ry\": 2.93}]\n```"
            }
        ]
    },
    {
        "id": 21,
        "data_source": "Mono3DRefer",
        "scene_name": "000175_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.66, \"bbox_2d\": [730.54, 185.01, 773.36, 223.67], \"bbox_3d\": [1.57, 1.55, 3.32, 6.19, 2.12, 31.67], \"ry\": -1.5}, {\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [719.67, 183.05, 760.08, 214.58], \"bbox_3d\": [1.56, 1.68, 3.91, 6.85, 2.11, 38.31], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": -0.14, \"bbox_2d\": [833.29, 175.08, 977.37, 229.38], \"bbox_3d\": [1.77, 1.73, 4.53, 10.27, 1.88, 25.41], \"ry\": 0.21}]\n```"
            }
        ]
    },
    {
        "id": 22,
        "data_source": "Mono3DRefer",
        "scene_name": "000186",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.23, \"bbox_2d\": [0.0, 195.79, 206.03, 374.0], \"bbox_3d\": [1.49, 1.63, 3.68, -5.86, 1.77, 7.09], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -2.26, \"bbox_2d\": [889.45, 189.86, 1241.0, 374.0], \"bbox_3d\": [1.49, 1.61, 3.55, 3.0, 1.61, 3.78], \"ry\": -1.63}, {\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [460.43, 182.2, 513.98, 216.49], \"bbox_3d\": [1.41, 1.57, 3.53, -5.54, 1.84, 32.04], \"ry\": 1.17}, {\"label\": \"car\", \"angle\": 2.64, \"bbox_2d\": [534.31, 177.09, 600.27, 199.68], \"bbox_3d\": [1.47, 1.72, 4.22, -2.95, 1.78, 49.71], \"ry\": 2.58}, {\"label\": \"car\", \"angle\": 0.76, \"bbox_2d\": [337.79, 183.39, 418.84, 211.07], \"bbox_3d\": [1.42, 1.71, 4.14, -12.61, 2.02, 39.14], \"ry\": 0.45}, {\"label\": \"car\", \"angle\": 1.89, \"bbox_2d\": [101.63, 181.63, 205.96, 234.79], \"bbox_3d\": [1.61, 1.87, 3.69, -15.15, 1.91, 24.12], \"ry\": 1.33}, {\"label\": \"car\", \"angle\": 2.72, \"bbox_2d\": [641.22, 174.76, 710.64, 195.97], \"bbox_3d\": [1.48, 1.87, 4.74, 4.84, 1.65, 53.25], \"ry\": 2.81}]\n```"
            }
        ]
    },
    {
        "id": 23,
        "data_source": "Mono3DRefer",
        "scene_name": "000186_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.91, \"bbox_2d\": [1035.97, 195.79, 1242.0, 374.0], \"bbox_3d\": [1.49, 1.63, 3.68, 6.02, 1.77, 7.09], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -0.88, \"bbox_2d\": [1.0, 189.86, 352.55, 374.0], \"bbox_3d\": [1.49, 1.61, 3.55, -2.94, 1.61, 3.78], \"ry\": -1.51}, {\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [728.02, 182.2, 781.57, 216.49], \"bbox_3d\": [1.41, 1.57, 3.53, 6.49, 1.84, 32.04], \"ry\": 1.97}, {\"label\": \"car\", \"angle\": 0.5, \"bbox_2d\": [641.73, 177.09, 707.69, 199.68], \"bbox_3d\": [1.47, 1.72, 4.22, 4.46, 1.78, 49.71], \"ry\": 0.56}, {\"label\": \"car\", \"angle\": 2.38, \"bbox_2d\": [823.16, 183.39, 904.21, 211.07], \"bbox_3d\": [1.42, 1.71, 4.14, 13.79, 2.02, 39.14], \"ry\": 2.69}, {\"label\": \"car\", \"angle\": 1.25, \"bbox_2d\": [1036.04, 181.63, 1140.37, 234.79], \"bbox_3d\": [1.61, 1.87, 3.69, 15.85, 1.91, 24.12], \"ry\": 1.81}, {\"label\": \"car\", \"angle\": 0.42, \"bbox_2d\": [531.36, 174.76, 600.78, 195.97], \"bbox_3d\": [1.48, 1.87, 4.74, -3.21, 1.65, 53.25], \"ry\": 0.33}]\n```"
            }
        ]
    },
    {
        "id": 24,
        "data_source": "Mono3DRefer",
        "scene_name": "000188",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.84, \"bbox_2d\": [846.8, 157.66, 1036.53, 281.15], \"bbox_3d\": [1.72, 1.67, 4.42, 5.34, 1.54, 12.35], \"ry\": -1.45}, {\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [581.77, 181.44, 661.2, 245.91], \"bbox_3d\": [1.44, 1.56, 3.84, 0.35, 1.67, 18.2], \"ry\": 1.7}, {\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [657.52, 175.77, 692.17, 209.26], \"bbox_3d\": [1.5, 1.55, 4.21, 3.11, 1.66, 34.76], \"ry\": -1.47}, {\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [768.88, 169.23, 811.34, 210.31], \"bbox_3d\": [1.82, 1.65, 3.67, 8.39, 1.68, 33.97], \"ry\": -1.4}]\n```"
            }
        ]
    },
    {
        "id": 25,
        "data_source": "Mono3DRefer",
        "scene_name": "000188_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.3, \"bbox_2d\": [205.47, 157.66, 395.2, 281.15], \"bbox_3d\": [1.72, 1.67, 4.42, -5.01, 1.54, 12.35], \"ry\": -1.69}, {\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [580.8, 181.44, 660.23, 245.91], \"bbox_3d\": [1.44, 1.56, 3.84, 0.16, 1.67, 18.2], \"ry\": 1.44}, {\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [549.83, 175.77, 584.48, 209.26], \"bbox_3d\": [1.5, 1.55, 4.21, -2.07, 1.66, 34.76], \"ry\": -1.67}, {\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [430.66, 169.23, 473.12, 210.31], \"bbox_3d\": [1.82, 1.65, 3.67, -7.37, 1.68, 33.97], \"ry\": -1.74}]\n```"
            }
        ]
    },
    {
        "id": 26,
        "data_source": "Mono3DRefer",
        "scene_name": "000196",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.61, \"bbox_2d\": [544.47, 200.46, 582.45, 236.89], \"bbox_3d\": [1.5, 1.62, 4.19, -2.2, 2.89, 34.51], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 27,
        "data_source": "Mono3DRefer",
        "scene_name": "000196_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.53, \"bbox_2d\": [659.55, 200.46, 697.53, 236.89], \"bbox_3d\": [1.5, 1.62, 4.19, 3.23, 2.89, 34.51], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 28,
        "data_source": "Mono3DRefer",
        "scene_name": "000203",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.87, \"bbox_2d\": [362.12, 193.89, 401.96, 217.66], \"bbox_3d\": [1.61, 1.75, 3.78, -16.83, 3.21, 53.36], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 29,
        "data_source": "Mono3DRefer",
        "scene_name": "000203_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.27, \"bbox_2d\": [840.04, 193.89, 879.88, 217.66], \"bbox_3d\": [1.61, 1.75, 3.78, 18.46, 3.21, 53.36], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 30,
        "data_source": "Mono3DRefer",
        "scene_name": "000224",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.88, \"bbox_2d\": [337.85, 180.82, 384.92, 202.94], \"bbox_3d\": [1.34, 1.73, 3.98, -15.97, 1.87, 46.47], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 31,
        "data_source": "Mono3DRefer",
        "scene_name": "000224_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.26, \"bbox_2d\": [857.08, 180.82, 904.15, 202.94], \"bbox_3d\": [1.34, 1.73, 3.98, 17.38, 1.87, 46.47], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 32,
        "data_source": "Mono3DRefer",
        "scene_name": "000270",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [586.89, 171.29, 613.75, 197.83], \"bbox_3d\": [1.65, 1.67, 3.64, -0.67, 1.58, 47.13], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": 1.86, \"bbox_2d\": [339.18, 183.53, 411.69, 224.1], \"bbox_3d\": [1.44, 1.62, 4.02, -9.14, 1.88, 28.31], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.69, \"bbox_2d\": [448.5, 176.73, 479.09, 201.42], \"bbox_3d\": [1.68, 1.67, 3.87, -10.42, 1.98, 51.53], \"ry\": 1.49}]\n```"
            }
        ]
    },
    {
        "id": 33,
        "data_source": "Mono3DRefer",
        "scene_name": "000270_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [628.25, 171.29, 655.11, 197.83], \"bbox_3d\": [1.65, 1.67, 3.64, 2.1, 1.58, 47.13], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": 1.28, \"bbox_2d\": [830.31, 183.53, 902.82, 224.1], \"bbox_3d\": [1.44, 1.62, 4.02, 9.98, 1.88, 28.31], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.45, \"bbox_2d\": [762.91, 176.73, 793.5, 201.42], \"bbox_3d\": [1.68, 1.67, 3.87, 11.99, 1.98, 51.53], \"ry\": 1.65}]\n```"
            }
        ]
    },
    {
        "id": 34,
        "data_source": "Mono3DRefer",
        "scene_name": "000279",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.66, \"bbox_2d\": [529.35, 175.77, 586.32, 220.96], \"bbox_3d\": [1.46, 1.63, 4.47, -1.82, 1.59, 25.88], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [561.38, 166.68, 611.43, 202.09], \"bbox_3d\": [1.7, 1.82, 4.45, -1.17, 1.43, 37.12], \"ry\": 1.71}, {\"label\": \"car\", \"angle\": -0.31, \"bbox_2d\": [603.29, 167.56, 648.34, 191.98], \"bbox_3d\": [1.57, 1.56, 2.62, 1.02, 1.24, 47.96], \"ry\": -0.29}, {\"label\": \"car\", \"angle\": -2.76, \"bbox_2d\": [136.02, 173.18, 416.2, 263.58], \"bbox_3d\": [1.47, 1.68, 4.26, -5.88, 1.51, 12.99], \"ry\": 3.11}]\n```"
            }
        ]
    },
    {
        "id": 35,
        "data_source": "Mono3DRefer",
        "scene_name": "000279_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.48, \"bbox_2d\": [655.68, 175.77, 712.65, 220.96], \"bbox_3d\": [1.46, 1.63, 4.47, 2.58, 1.59, 25.88], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [630.57, 166.68, 680.62, 202.09], \"bbox_3d\": [1.7, 1.82, 4.45, 2.28, 1.43, 37.12], \"ry\": 1.43}, {\"label\": \"car\", \"angle\": -2.83, \"bbox_2d\": [593.66, 167.56, 638.71, 191.98], \"bbox_3d\": [1.57, 1.56, 2.62, 0.44, 1.24, 47.96], \"ry\": -2.85}, {\"label\": \"car\", \"angle\": -0.38, \"bbox_2d\": [825.8, 173.18, 1105.98, 263.58], \"bbox_3d\": [1.47, 1.68, 4.26, 6.23, 1.51, 12.99], \"ry\": 0.03}]\n```"
            }
        ]
    },
    {
        "id": 36,
        "data_source": "Mono3DRefer",
        "scene_name": "000207",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.03, \"bbox_2d\": [190.15, 187.39, 288.84, 234.38], \"bbox_3d\": [1.6, 1.78, 3.86, -13.92, 2.17, 27.3], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 2.08, \"bbox_2d\": [152.24, 186.83, 248.19, 230.88], \"bbox_3d\": [1.65, 1.77, 3.85, -16.83, 2.25, 29.78], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.87, \"bbox_2d\": [382.8, 183.82, 426.35, 208.22], \"bbox_3d\": [1.58, 1.82, 3.87, -14.12, 2.35, 49.73], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 37,
        "data_source": "Mono3DRefer",
        "scene_name": "000207_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.11, \"bbox_2d\": [953.16, 187.39, 1051.85, 234.38], \"bbox_3d\": [1.6, 1.78, 3.86, 14.72, 2.17, 27.3], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.06, \"bbox_2d\": [993.81, 186.83, 1089.76, 230.88], \"bbox_3d\": [1.65, 1.77, 3.85, 17.71, 2.25, 29.78], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.27, \"bbox_2d\": [815.65, 183.82, 859.2, 208.22], \"bbox_3d\": [1.58, 1.82, 3.87, 15.63, 2.35, 49.73], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 38,
        "data_source": "Mono3DRefer",
        "scene_name": "000312",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.9, \"bbox_2d\": [233.68, 217.17, 431.03, 339.14], \"bbox_3d\": [1.27, 1.54, 3.58, -3.84, 2.01, 10.49], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.79, \"bbox_2d\": [379.56, 194.15, 490.29, 279.0], \"bbox_3d\": [1.63, 1.65, 3.91, -3.93, 2.17, 16.63], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [611.12, 189.23, 649.32, 224.8], \"bbox_3d\": [1.46, 1.53, 3.17, 0.83, 2.22, 32.32], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 39,
        "data_source": "Mono3DRefer",
        "scene_name": "000312_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.24, \"bbox_2d\": [810.97, 217.17, 1008.32, 339.14], \"bbox_3d\": [1.27, 1.54, 3.58, 4.11, 2.01, 10.49], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.35, \"bbox_2d\": [751.71, 194.15, 862.44, 279.0], \"bbox_3d\": [1.63, 1.65, 3.91, 4.4, 2.17, 16.63], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [592.68, 189.23, 630.88, 224.8], \"bbox_3d\": [1.46, 1.53, 3.17, 0.13, 2.22, 32.32], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 40,
        "data_source": "Mono3DRefer",
        "scene_name": "000283",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -3.11, \"bbox_2d\": [157.62, 189.29, 367.83, 264.9], \"bbox_3d\": [1.52, 1.41, 4.22, -7.93, 1.94, 16.71], \"ry\": 2.74}, {\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [444.66, 188.24, 507.94, 233.45], \"bbox_3d\": [1.34, 1.64, 4.57, -4.54, 1.91, 24.83], \"ry\": 1.5}]\n```"
            }
        ]
    },
    {
        "id": 41,
        "data_source": "Mono3DRefer",
        "scene_name": "000283_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.03, \"bbox_2d\": [874.17, 189.29, 1084.38, 264.9], \"bbox_3d\": [1.52, 1.41, 4.22, 8.4, 1.94, 16.71], \"ry\": 0.4}, {\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [734.06, 188.24, 797.34, 233.45], \"bbox_3d\": [1.34, 1.64, 4.57, 5.27, 1.91, 24.83], \"ry\": 1.64}]\n```"
            }
        ]
    },
    {
        "id": 42,
        "data_source": "Mono3DRefer",
        "scene_name": "000328",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.37, \"bbox_2d\": [0.0, 234.92, 248.08, 374.0], \"bbox_3d\": [1.4, 1.62, 4.26, -3.56, 1.85, 3.23], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.95, \"bbox_2d\": [129.16, 202.22, 390.23, 369.87], \"bbox_3d\": [1.46, 1.52, 3.48, -3.89, 1.87, 8.56], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": 1.85, \"bbox_2d\": [323.37, 195.32, 472.21, 289.27], \"bbox_3d\": [1.39, 1.6, 3.8, -3.76, 1.85, 13.3], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.92, \"bbox_2d\": [759.88, 184.24, 1074.29, 363.67], \"bbox_3d\": [1.46, 1.6, 4.52, 3.0, 1.61, 8.29], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.78, \"bbox_2d\": [717.69, 179.18, 842.81, 268.58], \"bbox_3d\": [1.48, 1.56, 3.46, 3.06, 1.61, 13.77], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 2.77, \"bbox_2d\": [963.96, 148.16, 1139.34, 222.68], \"bbox_3d\": [2.05, 1.8, 3.95, 12.7, 1.4, 21.04], \"ry\": -2.98}, {\"label\": \"car\", \"angle\": -1.8, \"bbox_2d\": [641.09, 178.2, 688.13, 211.16], \"bbox_3d\": [1.51, 1.53, 3.38, 2.59, 1.79, 35.24], \"ry\": -1.73}, {\"label\": \"car\", \"angle\": -1.9, \"bbox_2d\": [589.11, 181.99, 626.5, 203.04], \"bbox_3d\": [1.39, 1.54, 3.42, -0.21, 2.03, 50.01], \"ry\": -1.91}]\n```"
            }
        ]
    },
    {
        "id": 43,
        "data_source": "Mono3DRefer",
        "scene_name": "000328_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.77, \"bbox_2d\": [993.92, 234.92, 1242.0, 374.0], \"bbox_3d\": [1.4, 1.62, 4.26, 3.6, 1.85, 3.23], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.19, \"bbox_2d\": [851.77, 202.22, 1112.84, 369.87], \"bbox_3d\": [1.46, 1.52, 3.48, 4.1, 1.87, 8.56], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": 1.29, \"bbox_2d\": [769.79, 195.32, 918.63, 289.27], \"bbox_3d\": [1.39, 1.6, 3.8, 4.12, 1.85, 13.3], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.22, \"bbox_2d\": [167.71, 184.24, 482.12, 363.67], \"bbox_3d\": [1.46, 1.6, 4.52, -2.8, 1.61, 8.29], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.36, \"bbox_2d\": [399.19, 179.18, 524.31, 268.58], \"bbox_3d\": [1.48, 1.56, 3.46, -2.69, 1.61, 13.77], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 0.37, \"bbox_2d\": [102.66, 148.16, 278.04, 222.68], \"bbox_3d\": [2.05, 1.8, 3.95, -12.09, 1.4, 21.04], \"ry\": -0.16}, {\"label\": \"car\", \"angle\": -1.34, \"bbox_2d\": [553.87, 178.2, 600.91, 211.16], \"bbox_3d\": [1.51, 1.53, 3.38, -1.53, 1.79, 35.24], \"ry\": -1.41}, {\"label\": \"car\", \"angle\": -1.24, \"bbox_2d\": [615.5, 181.99, 652.89, 203.04], \"bbox_3d\": [1.39, 1.54, 3.42, 1.73, 2.03, 50.01], \"ry\": -1.23}]\n```"
            }
        ]
    },
    {
        "id": 44,
        "data_source": "Mono3DRefer",
        "scene_name": "000346",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.29, \"bbox_2d\": [725.19, 176.13, 817.42, 215.67], \"bbox_3d\": [1.42, 1.56, 3.48, 6.17, 1.58, 28.07], \"ry\": -2.08}, {\"label\": \"car\", \"angle\": -1.76, \"bbox_2d\": [625.58, 176.88, 663.91, 203.47], \"bbox_3d\": [1.41, 1.51, 3.45, 1.87, 1.65, 40.32], \"ry\": -1.71}, {\"label\": \"car\", \"angle\": -2.37, \"bbox_2d\": [925.17, 184.37, 1241.0, 374.0], \"bbox_3d\": [1.66, 1.66, 3.98, 2.95, 1.72, 2.79], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": -2.41, \"bbox_2d\": [0.0, 166.63, 163.63, 358.89], \"bbox_3d\": [1.64, 1.59, 3.87, -6.78, 1.61, 6.93], \"ry\": 3.12}, {\"label\": \"car\", \"angle\": 0.55, \"bbox_2d\": [0.0, 179.79, 350.52, 306.88], \"bbox_3d\": [1.52, 1.69, 3.68, -5.66, 1.63, 9.62], \"ry\": 0.03}, {\"label\": \"car\", \"angle\": -2.63, \"bbox_2d\": [98.12, 181.89, 340.85, 276.69], \"bbox_3d\": [1.45, 1.55, 3.21, -6.44, 1.62, 12.04], \"ry\": -3.11}, {\"label\": \"car\", \"angle\": -2.77, \"bbox_2d\": [276.07, 174.38, 418.72, 237.11], \"bbox_3d\": [1.57, 1.47, 3.23, -6.94, 1.63, 19.14], \"ry\": -3.11}, {\"label\": \"car\", \"angle\": -2.84, \"bbox_2d\": [311.39, 179.05, 446.33, 230.94], \"bbox_3d\": [1.43, 1.57, 3.46, -6.76, 1.63, 21.19], \"ry\": 3.14}]\n```"
            }
        ]
    },
    {
        "id": 45,
        "data_source": "Mono3DRefer",
        "scene_name": "000346_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.85, \"bbox_2d\": [424.58, 176.13, 516.81, 215.67], \"bbox_3d\": [1.42, 1.56, 3.48, -5.34, 1.58, 28.07], \"ry\": -1.06}, {\"label\": \"car\", \"angle\": -1.38, \"bbox_2d\": [578.09, 176.88, 616.42, 203.47], \"bbox_3d\": [1.41, 1.51, 3.45, -0.65, 1.65, 40.32], \"ry\": -1.43}, {\"label\": \"car\", \"angle\": -0.77, \"bbox_2d\": [1.0, 184.37, 316.83, 374.0], \"bbox_3d\": [1.66, 1.66, 3.98, -2.92, 1.72, 2.79], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": -0.73, \"bbox_2d\": [1078.37, 166.63, 1242.0, 358.89], \"bbox_3d\": [1.64, 1.59, 3.87, 6.94, 1.61, 6.93], \"ry\": 0.02}, {\"label\": \"car\", \"angle\": 2.59, \"bbox_2d\": [891.48, 179.79, 1242.0, 306.88], \"bbox_3d\": [1.52, 1.69, 3.68, 5.9, 1.63, 9.62], \"ry\": 3.11}, {\"label\": \"car\", \"angle\": -0.51, \"bbox_2d\": [901.15, 181.89, 1143.88, 276.69], \"bbox_3d\": [1.45, 1.55, 3.21, 6.76, 1.62, 12.04], \"ry\": -0.03}, {\"label\": \"car\", \"angle\": -0.37, \"bbox_2d\": [823.28, 174.38, 965.93, 237.11], \"bbox_3d\": [1.57, 1.47, 3.23, 7.48, 1.63, 19.14], \"ry\": -0.03}, {\"label\": \"car\", \"angle\": -0.3, \"bbox_2d\": [795.67, 179.05, 930.61, 230.94], \"bbox_3d\": [1.43, 1.57, 3.46, 7.37, 1.63, 21.19], \"ry\": 0.0}]\n```"
            }
        ]
    },
    {
        "id": 46,
        "data_source": "Mono3DRefer",
        "scene_name": "000305",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.48, \"bbox_2d\": [553.79, 170.75, 579.89, 191.89], \"bbox_3d\": [1.48, 1.56, 3.62, -2.47, 0.72, 52.49], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": -1.45, \"bbox_2d\": [549.27, 166.65, 589.32, 199.31], \"bbox_3d\": [1.67, 1.64, 4.32, -1.69, 0.91, 39.3], \"ry\": -1.49}, {\"label\": \"car\", \"angle\": -0.34, \"bbox_2d\": [298.85, 178.66, 437.73, 230.61], \"bbox_3d\": [1.5, 1.62, 3.88, -7.41, 1.43, 22.92], \"ry\": -0.66}, {\"label\": \"car\", \"angle\": 0.29, \"bbox_2d\": [0.0, 182.25, 126.53, 243.88], \"bbox_3d\": [1.48, 1.7, 4.5, -15.05, 1.53, 18.42], \"ry\": -0.4}, {\"label\": \"car\", \"angle\": 2.05, \"bbox_2d\": [328.63, 171.03, 397.18, 204.53], \"bbox_3d\": [1.68, 1.67, 4.29, -12.66, 1.15, 38.44], \"ry\": 1.73}]\n```"
            }
        ]
    },
    {
        "id": 47,
        "data_source": "Mono3DRefer",
        "scene_name": "000305_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.66, \"bbox_2d\": [658.11, 170.75, 684.21, 191.89], \"bbox_3d\": [1.48, 1.56, 3.62, 5.13, 0.72, 52.49], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": -1.69, \"bbox_2d\": [648.68, 166.65, 688.73, 199.31], \"bbox_3d\": [1.67, 1.64, 4.32, 3.66, 0.91, 39.3], \"ry\": -1.65}, {\"label\": \"car\", \"angle\": -2.8, \"bbox_2d\": [800.27, 178.66, 939.15, 230.61], \"bbox_3d\": [1.5, 1.62, 3.88, 8.54, 1.43, 22.92], \"ry\": -2.48}, {\"label\": \"car\", \"angle\": 2.85, \"bbox_2d\": [1111.47, 182.25, 1238.0, 243.88], \"bbox_3d\": [1.48, 1.7, 4.5, 15.94, 1.53, 18.42], \"ry\": -2.74}, {\"label\": \"car\", \"angle\": 1.09, \"bbox_2d\": [840.82, 171.03, 909.37, 204.53], \"bbox_3d\": [1.68, 1.67, 4.29, 14.59, 1.15, 38.44], \"ry\": 1.41}]\n```"
            }
        ]
    },
    {
        "id": 48,
        "data_source": "Mono3DRefer",
        "scene_name": "000373",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.18, \"bbox_2d\": [165.71, 173.27, 325.33, 241.0], \"bbox_3d\": [1.77, 1.6, 3.79, -10.21, 1.8, 20.4], \"ry\": -0.28}, {\"label\": \"car\", \"angle\": -1.77, \"bbox_2d\": [479.93, 183.16, 530.73, 219.77], \"bbox_3d\": [1.66, 1.66, 3.98, -5.19, 2.17, 35.16], \"ry\": -1.92}, {\"label\": \"car\", \"angle\": -2.66, \"bbox_2d\": [0.0, 165.51, 206.09, 290.61], \"bbox_3d\": [1.78, 1.65, 3.75, -8.67, 1.7, 11.22], \"ry\": 2.98}, {\"label\": \"car\", \"angle\": -2.73, \"bbox_2d\": [13.5, 181.8, 264.86, 267.1], \"bbox_3d\": [1.49, 1.75, 3.73, -9.06, 1.69, 14.11], \"ry\": 2.99}, {\"label\": \"car\", \"angle\": -2.8, \"bbox_2d\": [105.44, 182.48, 298.53, 250.73], \"bbox_3d\": [1.49, 1.64, 3.69, -9.69, 1.74, 17.32], \"ry\": 2.98}]\n```"
            }
        ]
    },
    {
        "id": 49,
        "data_source": "Mono3DRefer",
        "scene_name": "000373_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.96, \"bbox_2d\": [916.67, 173.27, 1076.29, 241.0], \"bbox_3d\": [1.77, 1.6, 3.79, 10.79, 1.8, 20.4], \"ry\": -2.86}, {\"label\": \"car\", \"angle\": -1.37, \"bbox_2d\": [711.27, 183.16, 762.07, 219.77], \"bbox_3d\": [1.66, 1.66, 3.98, 6.24, 2.17, 35.16], \"ry\": -1.22}, {\"label\": \"car\", \"angle\": -0.48, \"bbox_2d\": [1035.91, 165.51, 1242.0, 290.61], \"bbox_3d\": [1.78, 1.65, 3.75, 8.96, 1.7, 11.22], \"ry\": 0.16}, {\"label\": \"car\", \"angle\": -0.41, \"bbox_2d\": [977.14, 181.8, 1228.5, 267.1], \"bbox_3d\": [1.49, 1.75, 3.73, 9.45, 1.69, 14.11], \"ry\": 0.15}, {\"label\": \"car\", \"angle\": -0.34, \"bbox_2d\": [943.47, 182.48, 1136.56, 250.73], \"bbox_3d\": [1.49, 1.64, 3.69, 10.18, 1.74, 17.32], \"ry\": 0.16}]\n```"
            }
        ]
    },
    {
        "id": 50,
        "data_source": "Mono3DRefer",
        "scene_name": "000378",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.39, \"bbox_2d\": [367.13, 181.05, 505.29, 233.31], \"bbox_3d\": [1.47, 1.72, 4.22, -5.44, 1.75, 22.92], \"ry\": 2.16}, {\"label\": \"car\", \"angle\": 2.51, \"bbox_2d\": [581.28, 174.27, 707.53, 215.64], \"bbox_3d\": [1.48, 1.87, 4.74, 1.36, 1.56, 28.26], \"ry\": 2.56}, {\"label\": \"car\", \"angle\": -0.14, \"bbox_2d\": [619.1, 168.59, 788.46, 234.89], \"bbox_3d\": [1.63, 1.69, 4.23, 2.36, 1.56, 19.14], \"ry\": -0.02}]\n```"
            }
        ]
    },
    {
        "id": 51,
        "data_source": "Mono3DRefer",
        "scene_name": "000378_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.75, \"bbox_2d\": [736.71, 181.05, 874.87, 233.31], \"bbox_3d\": [1.47, 1.72, 4.22, 6.1, 1.75, 22.92], \"ry\": 0.98}, {\"label\": \"car\", \"angle\": 0.63, \"bbox_2d\": [534.47, 174.27, 660.72, 215.64], \"bbox_3d\": [1.48, 1.87, 4.74, -0.53, 1.56, 28.26], \"ry\": 0.58}, {\"label\": \"car\", \"angle\": -3.0, \"bbox_2d\": [453.54, 168.59, 622.9, 234.89], \"bbox_3d\": [1.63, 1.69, 4.23, -1.82, 1.56, 19.14], \"ry\": -3.12}]\n```"
            }
        ]
    },
    {
        "id": 52,
        "data_source": "Mono3DRefer",
        "scene_name": "000362",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.81, \"bbox_2d\": [696.42, 182.69, 843.91, 280.75], \"bbox_3d\": [1.49, 1.71, 3.58, 2.66, 1.68, 12.99], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [389.94, 193.33, 482.41, 254.78], \"bbox_3d\": [1.39, 1.81, 3.46, -4.52, 1.97, 19.07], \"ry\": -1.64}, {\"label\": \"car\", \"angle\": -1.7, \"bbox_2d\": [653.64, 182.52, 716.85, 232.92], \"bbox_3d\": [1.47, 1.55, 3.37, 2.3, 1.8, 23.15], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [450.43, 182.09, 515.2, 229.97], \"bbox_3d\": [1.72, 1.8, 4.16, -4.94, 2.09, 28.36], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [496.53, 183.28, 532.5, 212.85], \"bbox_3d\": [1.62, 1.66, 3.81, -5.57, 2.25, 42.25], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.65, \"bbox_2d\": [631.36, 179.19, 668.4, 210.8], \"bbox_3d\": [1.61, 1.67, 3.62, 2.08, 1.96, 38.95], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 53,
        "data_source": "Mono3DRefer",
        "scene_name": "000362_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.33, \"bbox_2d\": [398.09, 182.69, 545.58, 280.75], \"bbox_3d\": [1.49, 1.71, 3.58, -2.31, 1.68, 12.99], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [759.59, 193.33, 852.06, 254.78], \"bbox_3d\": [1.39, 1.81, 3.46, 5.06, 1.97, 19.07], \"ry\": -1.5}, {\"label\": \"car\", \"angle\": -1.44, \"bbox_2d\": [525.15, 182.52, 588.36, 232.92], \"bbox_3d\": [1.47, 1.55, 3.37, -1.63, 1.8, 23.15], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [726.8, 182.09, 791.57, 229.97], \"bbox_3d\": [1.72, 1.8, 4.16, 5.78, 2.09, 28.36], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [709.5, 183.28, 745.47, 212.85], \"bbox_3d\": [1.62, 1.66, 3.81, 6.85, 2.25, 42.25], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.49, \"bbox_2d\": [573.6, 179.19, 610.64, 210.8], \"bbox_3d\": [1.61, 1.67, 3.62, -0.91, 1.96, 38.95], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 54,
        "data_source": "Mono3DRefer",
        "scene_name": "000357",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [573.22, 174.08, 611.54, 209.01], \"bbox_3d\": [1.6, 1.76, 3.84, -0.78, 1.08, 35.2], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -0.85, \"bbox_2d\": [0.0, 179.63, 106.98, 310.05], \"bbox_3d\": [1.61, 1.61, 3.68, -8.38, 1.55, 8.98], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -1.16, \"bbox_2d\": [148.83, 190.03, 391.12, 315.88], \"bbox_3d\": [1.43, 1.64, 3.99, -4.66, 1.53, 10.54], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.14, \"bbox_2d\": [185.38, 186.02, 331.59, 251.55], \"bbox_3d\": [1.4, 1.66, 4.07, -8.53, 1.44, 17.9], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.35, \"bbox_2d\": [394.98, 185.44, 483.98, 240.67], \"bbox_3d\": [1.35, 1.57, 3.72, -4.58, 1.37, 19.89], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.27, \"bbox_2d\": [334.51, 181.23, 406.12, 221.77], \"bbox_3d\": [1.44, 1.58, 3.66, -9.12, 1.3, 27.78], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -1.39, \"bbox_2d\": [435.92, 178.89, 497.2, 220.45], \"bbox_3d\": [1.49, 1.64, 3.95, -5.45, 1.26, 28.03], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -1.01, \"bbox_2d\": [56.79, 179.27, 215.8, 248.04], \"bbox_3d\": [1.6, 1.66, 3.82, -12.13, 1.45, 18.77], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 55,
        "data_source": "Mono3DRefer",
        "scene_name": "000357_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [629.46, 174.08, 667.78, 209.01], \"bbox_3d\": [1.6, 1.76, 3.84, 2.02, 1.08, 35.2], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -2.29, \"bbox_2d\": [1134.02, 179.63, 1241.0, 310.05], \"bbox_3d\": [1.61, 1.61, 3.68, 8.65, 1.55, 8.98], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.98, \"bbox_2d\": [849.88, 190.03, 1092.17, 315.88], \"bbox_3d\": [1.43, 1.64, 3.99, 4.99, 1.53, 10.54], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -2.0, \"bbox_2d\": [909.41, 186.02, 1055.62, 251.55], \"bbox_3d\": [1.4, 1.66, 4.07, 9.13, 1.44, 17.9], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.79, \"bbox_2d\": [757.02, 185.44, 846.02, 240.67], \"bbox_3d\": [1.35, 1.57, 3.72, 5.25, 1.37, 19.89], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.87, \"bbox_2d\": [834.88, 181.23, 906.49, 221.77], \"bbox_3d\": [1.44, 1.58, 3.66, 10.09, 1.3, 27.78], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.75, \"bbox_2d\": [743.8, 178.89, 805.08, 220.45], \"bbox_3d\": [1.49, 1.64, 3.95, 6.42, 1.26, 28.03], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -2.13, \"bbox_2d\": [1025.2, 179.27, 1184.21, 248.04], \"bbox_3d\": [1.6, 1.66, 3.82, 12.76, 1.45, 18.77], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 56,
        "data_source": "Mono3DRefer",
        "scene_name": "000201",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [414.3, 184.11, 450.76, 211.85], \"bbox_3d\": [1.39, 1.81, 3.46, -9.6, 2.01, 38.84], \"ry\": -1.83}, {\"label\": \"car\", \"angle\": -1.7, \"bbox_2d\": [537.0, 179.7, 570.04, 205.31], \"bbox_3d\": [1.47, 1.55, 3.37, -3.48, 1.9, 43.72], \"ry\": -1.78}, {\"label\": \"car\", \"angle\": 1.08, \"bbox_2d\": [805.19, 175.71, 1241.0, 374.0], \"bbox_3d\": [1.53, 1.57, 3.87, 2.89, 1.57, 5.71], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": -1.86, \"bbox_2d\": [660.38, 181.78, 785.64, 262.88], \"bbox_3d\": [1.45, 1.61, 3.34, 2.15, 1.64, 14.83], \"ry\": -1.72}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [315.1, 192.02, 414.65, 257.48], \"bbox_3d\": [1.34, 1.69, 3.6, -5.87, 1.85, 17.52], \"ry\": -1.73}, {\"label\": \"car\", \"angle\": -1.81, \"bbox_2d\": [609.11, 170.02, 691.23, 231.7], \"bbox_3d\": [1.69, 1.59, 3.77, 1.08, 1.64, 21.88], \"ry\": -1.76}, {\"label\": \"car\", \"angle\": -1.71, \"bbox_2d\": [560.14, 180.73, 607.61, 214.73], \"bbox_3d\": [1.49, 1.71, 3.58, -1.31, 1.87, 33.9], \"ry\": -1.75}]\n```"
            }
        ]
    },
    {
        "id": 57,
        "data_source": "Mono3DRefer",
        "scene_name": "000201_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [791.24, 184.11, 827.7, 211.85], \"bbox_3d\": [1.39, 1.81, 3.46, 10.77, 2.01, 38.84], \"ry\": -1.31}, {\"label\": \"car\", \"angle\": -1.44, \"bbox_2d\": [671.96, 179.7, 705.0, 205.31], \"bbox_3d\": [1.47, 1.55, 3.37, 4.8, 1.9, 43.72], \"ry\": -1.36}, {\"label\": \"car\", \"angle\": 2.06, \"bbox_2d\": [1.0, 175.71, 436.81, 374.0], \"bbox_3d\": [1.53, 1.57, 3.87, -2.77, 1.57, 5.71], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": -1.28, \"bbox_2d\": [456.36, 181.78, 581.62, 262.88], \"bbox_3d\": [1.45, 1.61, 3.34, -1.74, 1.64, 14.83], \"ry\": -1.42}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [827.35, 192.02, 926.9, 257.48], \"bbox_3d\": [1.34, 1.69, 3.6, 6.36, 1.85, 17.52], \"ry\": -1.41}, {\"label\": \"car\", \"angle\": -1.33, \"bbox_2d\": [550.77, 170.02, 632.89, 231.7], \"bbox_3d\": [1.69, 1.59, 3.77, -0.45, 1.64, 21.88], \"ry\": -1.38}, {\"label\": \"car\", \"angle\": -1.43, \"bbox_2d\": [634.39, 180.73, 681.86, 214.73], \"bbox_3d\": [1.49, 1.71, 3.58, 2.32, 1.87, 33.9], \"ry\": -1.39}]\n```"
            }
        ]
    },
    {
        "id": 58,
        "data_source": "Mono3DRefer",
        "scene_name": "000401",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.87, \"bbox_2d\": [0.0, 198.12, 356.05, 374.0], \"bbox_3d\": [1.46, 1.68, 4.1, -2.8, 1.63, 3.23], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.77, \"bbox_2d\": [659.29, 177.45, 766.69, 251.02], \"bbox_3d\": [1.49, 1.64, 4.17, 2.22, 1.61, 16.89], \"ry\": -1.64}, {\"label\": \"car\", \"angle\": -1.22, \"bbox_2d\": [85.17, 185.69, 416.22, 374.0], \"bbox_3d\": [1.44, 1.65, 4.25, -3.44, 1.61, 7.79], \"ry\": -1.63}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [510.43, 173.32, 556.99, 214.44], \"bbox_3d\": [1.6, 1.75, 3.89, -3.18, 1.65, 30.33], \"ry\": -1.63}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [634.82, 172.77, 691.27, 215.4], \"bbox_3d\": [1.59, 1.64, 4.03, 2.04, 1.62, 29.24], \"ry\": -1.66}, {\"label\": \"car\", \"angle\": -1.46, \"bbox_2d\": [535.67, 178.56, 567.07, 203.68], \"bbox_3d\": [1.46, 1.56, 3.21, -3.57, 1.82, 44.08], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [622.16, 170.42, 651.22, 200.63], \"bbox_3d\": [1.83, 1.75, 4.52, 1.66, 1.71, 46.27], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 59,
        "data_source": "Mono3DRefer",
        "scene_name": "000401_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.27, \"bbox_2d\": [885.95, 198.12, 1242.0, 374.0], \"bbox_3d\": [1.46, 1.68, 4.1, 2.84, 1.63, 3.23], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.37, \"bbox_2d\": [475.31, 177.45, 582.71, 251.02], \"bbox_3d\": [1.49, 1.64, 4.17, -1.75, 1.61, 16.89], \"ry\": -1.5}, {\"label\": \"car\", \"angle\": -1.92, \"bbox_2d\": [825.78, 185.69, 1156.83, 374.0], \"bbox_3d\": [1.44, 1.65, 4.25, 3.62, 1.61, 7.79], \"ry\": -1.51}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [685.01, 173.32, 731.57, 214.44], \"bbox_3d\": [1.6, 1.75, 3.89, 4.08, 1.65, 30.33], \"ry\": -1.51}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [550.73, 172.77, 607.18, 215.4], \"bbox_3d\": [1.59, 1.64, 4.03, -1.17, 1.62, 29.24], \"ry\": -1.48}, {\"label\": \"car\", \"angle\": -1.68, \"bbox_2d\": [674.93, 178.56, 706.33, 203.68], \"bbox_3d\": [1.46, 1.56, 3.21, 4.91, 1.82, 44.08], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [590.78, 170.42, 619.84, 200.63], \"bbox_3d\": [1.83, 1.75, 4.52, -0.25, 1.71, 46.27], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 60,
        "data_source": "Mono3DRefer",
        "scene_name": "000409",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [551.99, 170.51, 714.01, 326.62], \"bbox_3d\": [1.66, 1.73, 3.05, 0.2, 1.66, 9.29], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.73, \"bbox_2d\": [452.53, 176.19, 481.78, 194.54], \"bbox_3d\": [1.47, 1.72, 4.39, -12.02, 1.78, 60.84], \"ry\": 1.54}]\n```"
            }
        ]
    },
    {
        "id": 61,
        "data_source": "Mono3DRefer",
        "scene_name": "000409_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [527.99, 170.51, 690.01, 326.62], \"bbox_3d\": [1.66, 1.73, 3.05, 0.03, 1.66, 9.29], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.41, \"bbox_2d\": [760.22, 176.19, 789.47, 194.54], \"bbox_3d\": [1.47, 1.72, 4.39, 13.89, 1.78, 60.84], \"ry\": 1.6}]\n```"
            }
        ]
    },
    {
        "id": 62,
        "data_source": "Mono3DRefer",
        "scene_name": "000413",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [581.85, 178.13, 617.81, 213.69], \"bbox_3d\": [1.65, 1.67, 3.64, -0.55, 1.93, 35.66], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 2.06, \"bbox_2d\": [102.07, 186.6, 276.94, 279.58], \"bbox_3d\": [1.59, 1.57, 3.39, -8.22, 1.88, 14.37], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.85, \"bbox_2d\": [364.12, 185.04, 435.41, 222.92], \"bbox_3d\": [1.35, 1.63, 4.1, -8.25, 1.85, 28.55], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 63,
        "data_source": "Mono3DRefer",
        "scene_name": "000413_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [624.19, 178.13, 660.15, 213.69], \"bbox_3d\": [1.65, 1.67, 3.64, 1.62, 1.93, 35.66], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 1.08, \"bbox_2d\": [965.06, 186.6, 1139.93, 279.58], \"bbox_3d\": [1.59, 1.57, 3.39, 8.61, 1.88, 14.37], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.29, \"bbox_2d\": [806.59, 185.04, 877.88, 222.92], \"bbox_3d\": [1.35, 1.63, 4.1, 9.09, 1.85, 28.55], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 64,
        "data_source": "Mono3DRefer",
        "scene_name": "000428",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [543.68, 162.61, 586.17, 206.25], \"bbox_3d\": [1.91, 1.65, 4.4, -1.96, 1.12, 33.44], \"ry\": -1.7}]\n```"
            }
        ]
    },
    {
        "id": 65,
        "data_source": "Mono3DRefer",
        "scene_name": "000428_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [637.83, 162.61, 680.32, 206.25], \"bbox_3d\": [1.91, 1.65, 4.4, 2.64, 1.12, 33.44], \"ry\": -1.44}]\n```"
            }
        ]
    },
    {
        "id": 66,
        "data_source": "Mono3DRefer",
        "scene_name": "000429",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.99, \"bbox_2d\": [128.3, 193.63, 378.71, 329.79], \"bbox_3d\": [1.47, 1.66, 3.76, -4.72, 1.8, 10.11], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -2.16, \"bbox_2d\": [915.45, 193.81, 1241.0, 374.0], \"bbox_3d\": [1.47, 1.6, 3.7, 3.72, 1.67, 5.16], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.87, \"bbox_2d\": [325.77, 186.96, 457.33, 264.19], \"bbox_3d\": [1.43, 1.68, 3.76, -4.63, 1.76, 15.71], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.88, \"bbox_2d\": [782.2, 182.73, 979.38, 304.49], \"bbox_3d\": [1.49, 1.64, 3.52, 3.75, 1.65, 10.75], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.84, \"bbox_2d\": [400.88, 184.88, 498.38, 239.16], \"bbox_3d\": [1.38, 1.68, 4.34, -4.59, 1.76, 21.12], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": -1.79, \"bbox_2d\": [724.05, 177.24, 844.27, 255.98], \"bbox_3d\": [1.5, 1.64, 4.14, 3.64, 1.61, 15.96], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.71, \"bbox_2d\": [510.96, 178.89, 551.25, 208.88], \"bbox_3d\": [1.45, 1.6, 3.2, -4.03, 1.77, 36.95], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.72, \"bbox_2d\": [706.21, 176.48, 783.27, 233.61], \"bbox_3d\": [1.51, 1.66, 3.5, 3.79, 1.63, 20.99], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.68, \"bbox_2d\": [697.35, 175.2, 753.53, 219.69], \"bbox_3d\": [1.51, 1.61, 3.51, 4.13, 1.62, 26.48], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": -1.69, \"bbox_2d\": [685.22, 176.43, 733.92, 212.58], \"bbox_3d\": [1.49, 1.68, 3.8, 4.32, 1.67, 31.99], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 67,
        "data_source": "Mono3DRefer",
        "scene_name": "000429_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.15, \"bbox_2d\": [863.29, 193.63, 1113.7, 329.79], \"bbox_3d\": [1.47, 1.66, 3.76, 4.98, 1.8, 10.11], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -0.98, \"bbox_2d\": [1.0, 193.81, 326.55, 374.0], \"bbox_3d\": [1.47, 1.6, 3.7, -3.62, 1.67, 5.16], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.27, \"bbox_2d\": [784.67, 186.96, 916.23, 264.19], \"bbox_3d\": [1.43, 1.68, 3.76, 5.07, 1.76, 15.71], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.26, \"bbox_2d\": [262.62, 182.73, 459.8, 304.49], \"bbox_3d\": [1.49, 1.64, 3.52, -3.47, 1.65, 10.75], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.3, \"bbox_2d\": [743.62, 184.88, 841.12, 239.16], \"bbox_3d\": [1.38, 1.68, 4.34, 5.2, 1.76, 21.12], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": -1.35, \"bbox_2d\": [397.73, 177.24, 517.95, 255.98], \"bbox_3d\": [1.5, 1.64, 4.14, -3.2, 1.61, 15.96], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.43, \"bbox_2d\": [690.75, 178.89, 731.04, 208.88], \"bbox_3d\": [1.45, 1.6, 3.2, 5.14, 1.77, 36.95], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.42, \"bbox_2d\": [458.73, 176.48, 535.79, 233.61], \"bbox_3d\": [1.51, 1.66, 3.5, -3.19, 1.63, 20.99], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.46, \"bbox_2d\": [488.47, 175.2, 544.65, 219.69], \"bbox_3d\": [1.51, 1.61, 3.51, -3.35, 1.62, 26.48], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": -1.45, \"bbox_2d\": [508.08, 176.43, 556.78, 212.58], \"bbox_3d\": [1.49, 1.68, 3.8, -3.37, 1.67, 31.99], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 68,
        "data_source": "Mono3DRefer",
        "scene_name": "000453",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.42, \"bbox_2d\": [902.39, 157.2, 1063.73, 205.46], \"bbox_3d\": [1.51, 1.75, 4.45, 12.58, 0.78, 23.77], \"ry\": 0.06}, {\"label\": \"car\", \"angle\": 1.52, \"bbox_2d\": [437.83, 172.24, 471.58, 199.6], \"bbox_3d\": [1.44, 1.64, 3.68, -8.45, 1.0, 39.6], \"ry\": 1.31}, {\"label\": \"car\", \"angle\": 1.9, \"bbox_2d\": [247.46, 175.43, 324.61, 214.58], \"bbox_3d\": [1.63, 1.78, 4.54, -14.37, 1.42, 32.11], \"ry\": 1.49}, {\"label\": \"car\", \"angle\": -0.86, \"bbox_2d\": [0.0, 201.41, 303.97, 369.0], \"bbox_3d\": [1.5, 1.78, 3.69, -3.16, 1.68, 3.35], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 69,
        "data_source": "Mono3DRefer",
        "scene_name": "000453_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.72, \"bbox_2d\": [160.27, 157.2, 321.61, 205.46], \"bbox_3d\": [1.51, 1.75, 4.45, -12.11, 0.78, 23.77], \"ry\": 3.08}, {\"label\": \"car\", \"angle\": 1.62, \"bbox_2d\": [752.42, 172.24, 786.17, 199.6], \"bbox_3d\": [1.44, 1.64, 3.68, 9.27, 1.0, 39.6], \"ry\": 1.83}, {\"label\": \"car\", \"angle\": 1.24, \"bbox_2d\": [899.39, 175.43, 976.54, 214.58], \"bbox_3d\": [1.63, 1.78, 4.54, 15.02, 1.42, 32.11], \"ry\": 1.65}, {\"label\": \"car\", \"angle\": -2.28, \"bbox_2d\": [920.03, 201.41, 1224.0, 369.0], \"bbox_3d\": [1.5, 1.78, 3.69, 3.17, 1.68, 3.35], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 70,
        "data_source": "Mono3DRefer",
        "scene_name": "000459",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [486.97, 181.39, 523.92, 215.4], \"bbox_3d\": [1.57, 1.55, 3.32, -5.12, 2.0, 35.4], \"ry\": -1.64}, {\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [496.08, 180.12, 531.92, 208.44], \"bbox_3d\": [1.56, 1.68, 3.91, -5.58, 1.99, 42.08], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -3.03, \"bbox_2d\": [310.88, 173.65, 433.53, 220.6], \"bbox_3d\": [1.77, 1.73, 4.53, -9.53, 1.83, 29.14], \"ry\": 2.94}]\n```"
            }
        ]
    },
    {
        "id": 71,
        "data_source": "Mono3DRefer",
        "scene_name": "000459_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [718.08, 181.39, 755.03, 215.4], \"bbox_3d\": [1.57, 1.55, 3.32, 6.18, 2.0, 35.4], \"ry\": -1.5}, {\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [710.08, 180.12, 745.92, 208.44], \"bbox_3d\": [1.56, 1.68, 3.91, 6.85, 1.99, 42.08], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -0.11, \"bbox_2d\": [808.47, 173.65, 931.12, 220.6], \"bbox_3d\": [1.77, 1.73, 4.53, 10.39, 1.83, 29.14], \"ry\": 0.2}]\n```"
            }
        ]
    },
    {
        "id": 72,
        "data_source": "Mono3DRefer",
        "scene_name": "000478",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.53, \"bbox_2d\": [549.67, 171.16, 574.55, 193.69], \"bbox_3d\": [1.48, 1.56, 3.62, -2.65, 0.79, 49.39], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.31, \"bbox_2d\": [521.34, 168.33, 579.4, 206.63], \"bbox_3d\": [1.67, 1.64, 4.32, -2.32, 1.09, 33.73], \"ry\": -1.38}, {\"label\": \"car\", \"angle\": 0.02, \"bbox_2d\": [131.53, 183.53, 292.83, 242.31], \"bbox_3d\": [1.5, 1.62, 3.88, -10.98, 1.58, 20.45], \"ry\": -0.47}, {\"label\": \"car\", \"angle\": 2.05, \"bbox_2d\": [328.66, 170.75, 397.22, 204.26], \"bbox_3d\": [1.68, 1.67, 4.29, -12.66, 1.14, 38.44], \"ry\": 1.73}]\n```"
            }
        ]
    },
    {
        "id": 73,
        "data_source": "Mono3DRefer",
        "scene_name": "000478_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.61, \"bbox_2d\": [663.45, 171.16, 688.33, 193.69], \"bbox_3d\": [1.48, 1.56, 3.62, 5.15, 0.79, 49.39], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.83, \"bbox_2d\": [658.6, 168.33, 716.66, 206.63], \"bbox_3d\": [1.67, 1.64, 4.32, 4.01, 1.09, 33.73], \"ry\": -1.76}, {\"label\": \"car\", \"angle\": 3.12, \"bbox_2d\": [945.17, 183.53, 1106.47, 242.31], \"bbox_3d\": [1.5, 1.62, 3.88, 11.98, 1.58, 20.45], \"ry\": -2.67}, {\"label\": \"car\", \"angle\": 1.09, \"bbox_2d\": [840.78, 170.75, 909.34, 204.26], \"bbox_3d\": [1.68, 1.67, 4.29, 14.59, 1.14, 38.44], \"ry\": 1.41}]\n```"
            }
        ]
    },
    {
        "id": 74,
        "data_source": "Mono3DRefer",
        "scene_name": "000457",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [582.61, 179.34, 617.01, 206.61], \"bbox_3d\": [1.26, 1.6, 3.56, -0.55, 1.59, 35.5], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [538.61, 179.58, 570.51, 204.14], \"bbox_3d\": [1.37, 1.63, 3.57, -3.26, 1.78, 42.65], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 75,
        "data_source": "Mono3DRefer",
        "scene_name": "000457_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [624.99, 179.34, 659.39, 206.61], \"bbox_3d\": [1.26, 1.6, 3.56, 1.61, 1.59, 35.5], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [671.49, 179.58, 703.39, 204.14], \"bbox_3d\": [1.37, 1.63, 3.57, 4.55, 1.78, 42.65], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 76,
        "data_source": "Mono3DRefer",
        "scene_name": "000486",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.72, \"bbox_2d\": [687.62, 180.27, 751.84, 228.76], \"bbox_3d\": [1.39, 1.45, 3.44, 3.34, 1.63, 22.68], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -2.33, \"bbox_2d\": [933.46, 184.83, 1241.0, 374.0], \"bbox_3d\": [1.46, 1.67, 3.89, 3.22, 1.54, 3.33], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": 1.9, \"bbox_2d\": [317.05, 189.17, 432.98, 261.68], \"bbox_3d\": [1.56, 1.63, 3.62, -5.74, 2.0, 17.94], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.85, \"bbox_2d\": [727.81, 177.41, 893.29, 287.55], \"bbox_3d\": [1.51, 1.6, 3.54, 3.03, 1.6, 11.79], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.85, \"bbox_2d\": [695.21, 177.9, 797.53, 249.66], \"bbox_3d\": [1.53, 1.5, 3.34, 3.11, 1.67, 17.28], \"ry\": -1.67}, {\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [396.59, 189.0, 467.44, 240.34], \"bbox_3d\": [1.46, 1.43, 3.52, -5.64, 2.0, 23.04], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 77,
        "data_source": "Mono3DRefer",
        "scene_name": "000486_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.42, \"bbox_2d\": [490.16, 180.27, 554.38, 228.76], \"bbox_3d\": [1.39, 1.45, 3.44, -2.68, 1.63, 22.68], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -0.81, \"bbox_2d\": [1.0, 184.83, 308.54, 374.0], \"bbox_3d\": [1.46, 1.67, 3.89, -3.18, 1.54, 3.33], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": 1.24, \"bbox_2d\": [809.02, 189.17, 924.95, 261.68], \"bbox_3d\": [1.56, 1.63, 3.62, 6.25, 2.0, 17.94], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.29, \"bbox_2d\": [348.71, 177.41, 514.19, 287.55], \"bbox_3d\": [1.51, 1.6, 3.54, -2.72, 1.6, 11.79], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.29, \"bbox_2d\": [444.47, 177.9, 546.79, 249.66], \"bbox_3d\": [1.53, 1.5, 3.34, -2.62, 1.67, 17.28], \"ry\": -1.47}, {\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [774.56, 189.0, 845.41, 240.34], \"bbox_3d\": [1.46, 1.43, 3.52, 6.31, 2.0, 23.04], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 78,
        "data_source": "Mono3DRefer",
        "scene_name": "000510",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.27, \"bbox_2d\": [0.0, 210.72, 279.62, 352.71], \"bbox_3d\": [1.47, 1.58, 3.55, -6.26, 1.98, 9.08], \"ry\": -2.86}, {\"label\": \"car\", \"angle\": -1.46, \"bbox_2d\": [644.99, 175.97, 737.72, 252.69], \"bbox_3d\": [1.6, 1.75, 3.89, 2.0, 1.69, 17.11], \"ry\": -1.35}, {\"label\": \"car\", \"angle\": -1.87, \"bbox_2d\": [885.08, 167.18, 1040.96, 258.45], \"bbox_3d\": [1.59, 1.64, 4.03, 6.91, 1.52, 14.67], \"ry\": -1.44}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [861.14, 170.63, 958.62, 229.14], \"bbox_3d\": [1.5, 1.8, 4.5, 8.48, 1.47, 20.88], \"ry\": -1.36}, {\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [711.88, 179.06, 756.95, 215.9], \"bbox_3d\": [1.46, 1.56, 3.21, 5.26, 1.74, 30.47], \"ry\": -1.3}, {\"label\": \"car\", \"angle\": -1.6, \"bbox_2d\": [840.6, 162.79, 888.64, 208.68], \"bbox_3d\": [1.83, 1.75, 4.52, 10.87, 1.45, 31.1], \"ry\": -1.27}]\n```"
            }
        ]
    },
    {
        "id": 79,
        "data_source": "Mono3DRefer",
        "scene_name": "000510_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.87, \"bbox_2d\": [962.38, 210.72, 1242.0, 352.71], \"bbox_3d\": [1.47, 1.58, 3.55, 6.49, 1.98, 9.08], \"ry\": -0.28}, {\"label\": \"car\", \"angle\": -1.68, \"bbox_2d\": [504.28, 175.97, 597.01, 252.69], \"bbox_3d\": [1.6, 1.75, 3.89, -1.52, 1.69, 17.11], \"ry\": -1.79}, {\"label\": \"car\", \"angle\": -1.27, \"bbox_2d\": [201.04, 167.18, 356.92, 258.45], \"bbox_3d\": [1.59, 1.64, 4.03, -6.51, 1.52, 14.67], \"ry\": -1.7}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [283.38, 170.63, 380.86, 229.14], \"bbox_3d\": [1.5, 1.8, 4.5, -7.88, 1.47, 20.88], \"ry\": -1.78}, {\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [485.05, 179.06, 530.12, 215.9], \"bbox_3d\": [1.46, 1.56, 3.21, -4.36, 1.74, 30.47], \"ry\": -1.84}, {\"label\": \"car\", \"angle\": -1.54, \"bbox_2d\": [353.36, 162.79, 401.4, 208.68], \"bbox_3d\": [1.83, 1.75, 4.52, -9.95, 1.45, 31.1], \"ry\": -1.87}]\n```"
            }
        ]
    },
    {
        "id": 80,
        "data_source": "Mono3DRefer",
        "scene_name": "000558",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.95, \"bbox_2d\": [0.0, 180.41, 161.24, 261.69], \"bbox_3d\": [1.6, 1.66, 3.82, -12.07, 1.5, 16.12], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [572.92, 174.19, 611.89, 209.71], \"bbox_3d\": [1.6, 1.76, 3.84, -0.77, 1.1, 34.65], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.05, \"bbox_2d\": [0.0, 193.32, 336.11, 375.0], \"bbox_3d\": [1.43, 1.64, 3.99, -4.62, 1.56, 7.89], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.07, \"bbox_2d\": [103.07, 187.44, 290.9, 266.29], \"bbox_3d\": [1.4, 1.66, 4.07, -8.51, 1.47, 15.29], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.32, \"bbox_2d\": [359.34, 187.11, 467.84, 252.58], \"bbox_3d\": [1.35, 1.57, 3.72, -4.54, 1.42, 17.17], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.24, \"bbox_2d\": [305.29, 181.74, 388.31, 227.12], \"bbox_3d\": [1.44, 1.58, 3.66, -9.02, 1.34, 25.05], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -1.37, \"bbox_2d\": [417.33, 179.31, 487.71, 225.8], \"bbox_3d\": [1.49, 1.64, 3.95, -5.39, 1.3, 25.27], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 81,
        "data_source": "Mono3DRefer",
        "scene_name": "000558_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.19, \"bbox_2d\": [1079.76, 180.41, 1241.0, 261.69], \"bbox_3d\": [1.6, 1.66, 3.82, 12.6, 1.5, 16.12], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [629.11, 174.19, 668.08, 209.71], \"bbox_3d\": [1.6, 1.76, 3.84, 1.99, 1.1, 34.65], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -2.09, \"bbox_2d\": [904.89, 193.32, 1241.0, 375.0], \"bbox_3d\": [1.43, 1.64, 3.99, 4.85, 1.56, 7.89], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -2.07, \"bbox_2d\": [950.1, 187.44, 1137.93, 266.29], \"bbox_3d\": [1.4, 1.66, 4.07, 9.01, 1.47, 15.29], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.82, \"bbox_2d\": [773.16, 187.11, 881.66, 252.58], \"bbox_3d\": [1.35, 1.57, 3.72, 5.11, 1.42, 17.17], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.9, \"bbox_2d\": [852.69, 181.74, 935.71, 227.12], \"bbox_3d\": [1.44, 1.58, 3.66, 9.88, 1.34, 25.05], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.77, \"bbox_2d\": [753.29, 179.31, 823.67, 225.8], \"bbox_3d\": [1.49, 1.64, 3.95, 6.26, 1.3, 25.27], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 82,
        "data_source": "Mono3DRefer",
        "scene_name": "000564",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.85, \"bbox_2d\": [247.81, 194.06, 501.75, 370.17], \"bbox_3d\": [1.45, 1.62, 3.83, -2.39, 1.74, 8.22], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [545.17, 180.12, 608.18, 224.86], \"bbox_3d\": [1.43, 1.66, 3.67, -1.12, 1.7, 25.18], \"ry\": 1.67}]\n```"
            }
        ]
    },
    {
        "id": 83,
        "data_source": "Mono3DRefer",
        "scene_name": "000564_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.29, \"bbox_2d\": [740.25, 194.06, 994.19, 370.17], \"bbox_3d\": [1.45, 1.62, 3.83, 2.59, 1.74, 8.22], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [633.82, 180.12, 696.83, 224.86], \"bbox_3d\": [1.43, 1.66, 3.67, 1.86, 1.7, 25.18], \"ry\": 1.47}]\n```"
            }
        ]
    },
    {
        "id": 84,
        "data_source": "Mono3DRefer",
        "scene_name": "000601",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.97, \"bbox_2d\": [273.88, 185.2, 340.43, 218.41], \"bbox_3d\": [1.52, 1.76, 3.66, -14.99, 2.16, 35.84], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [587.49, 173.79, 609.79, 195.27], \"bbox_3d\": [1.66, 1.73, 3.05, -0.91, 1.76, 58.01], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 85,
        "data_source": "Mono3DRefer",
        "scene_name": "000601_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.17, \"bbox_2d\": [901.57, 185.2, 968.12, 218.41], \"bbox_3d\": [1.52, 1.76, 3.66, 16.06, 2.16, 35.84], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [632.21, 173.79, 654.51, 195.27], \"bbox_3d\": [1.66, 1.73, 3.05, 2.69, 1.76, 58.01], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 86,
        "data_source": "Mono3DRefer",
        "scene_name": "000630",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [592.75, 170.94, 625.64, 202.61], \"bbox_3d\": [1.66, 1.73, 3.05, -0.07, 1.59, 39.82], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 87,
        "data_source": "Mono3DRefer",
        "scene_name": "000630_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [616.36, 170.94, 649.25, 202.61], \"bbox_3d\": [1.66, 1.73, 3.05, 1.27, 1.59, 39.82], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 88,
        "data_source": "Mono3DRefer",
        "scene_name": "000644",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [526.27, 176.52, 575.79, 214.4], \"bbox_3d\": [1.45, 1.62, 3.83, -2.41, 1.62, 29.84], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.59, \"bbox_2d\": [575.39, 174.31, 603.05, 198.28], \"bbox_3d\": [1.43, 1.66, 3.67, -1.3, 1.55, 45.52], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 89,
        "data_source": "Mono3DRefer",
        "scene_name": "000644_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [666.21, 176.52, 715.73, 214.4], \"bbox_3d\": [1.45, 1.62, 3.83, 3.29, 1.62, 29.84], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.55, \"bbox_2d\": [638.95, 174.31, 666.61, 198.28], \"bbox_3d\": [1.43, 1.66, 3.67, 2.68, 1.55, 45.52], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 90,
        "data_source": "Mono3DRefer",
        "scene_name": "000658",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [401.46, 180.6, 462.4, 219.44], \"bbox_3d\": [1.48, 1.64, 3.59, -7.28, 1.81, 29.65], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 91,
        "data_source": "Mono3DRefer",
        "scene_name": "000658_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [779.6, 180.6, 840.54, 219.44], \"bbox_3d\": [1.48, 1.64, 3.59, 8.16, 1.81, 29.65], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 92,
        "data_source": "Mono3DRefer",
        "scene_name": "000670",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.77, \"bbox_2d\": [532.21, 182.23, 583.47, 216.23], \"bbox_3d\": [1.5, 1.7, 3.77, -2.45, 1.97, 34.34], \"ry\": 1.7}]\n```"
            }
        ]
    },
    {
        "id": 93,
        "data_source": "Mono3DRefer",
        "scene_name": "000670_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.37, \"bbox_2d\": [658.53, 182.23, 709.79, 216.23], \"bbox_3d\": [1.5, 1.7, 3.77, 3.48, 1.97, 34.34], \"ry\": 1.44}]\n```"
            }
        ]
    },
    {
        "id": 94,
        "data_source": "Mono3DRefer",
        "scene_name": "000729",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.19, \"bbox_2d\": [359.52, 174.25, 504.16, 222.91], \"bbox_3d\": [1.5, 1.66, 4.4, -5.83, 1.58, 23.84], \"ry\": -0.05}, {\"label\": \"car\", \"angle\": -1.69, \"bbox_2d\": [665.34, 178.28, 735.27, 229.03], \"bbox_3d\": [1.41, 1.62, 4.19, 2.66, 1.6, 22.4], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -0.15, \"bbox_2d\": [730.19, 173.0, 823.27, 212.41], \"bbox_3d\": [1.42, 1.59, 3.21, 6.23, 1.45, 27.38], \"ry\": 0.07}, {\"label\": \"car\", \"angle\": 0.77, \"bbox_2d\": [0.0, 157.82, 184.87, 370.99], \"bbox_3d\": [1.68, 1.71, 4.07, -6.46, 1.59, 6.57], \"ry\": 0.01}, {\"label\": \"car\", \"angle\": -2.58, \"bbox_2d\": [0.0, 175.32, 299.29, 314.94], \"bbox_3d\": [1.53, 1.7, 4.32, -6.41, 1.59, 8.89], \"ry\": 3.09}, {\"label\": \"car\", \"angle\": 0.4, \"bbox_2d\": [181.37, 171.69, 428.79, 255.99], \"bbox_3d\": [1.54, 1.78, 4.2, -6.01, 1.55, 14.45], \"ry\": 0.01}]\n```"
            }
        ]
    },
    {
        "id": 95,
        "data_source": "Mono3DRefer",
        "scene_name": "000729_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.95, \"bbox_2d\": [737.84, 174.25, 882.48, 222.91], \"bbox_3d\": [1.5, 1.66, 4.4, 6.52, 1.58, 23.84], \"ry\": -3.09}, {\"label\": \"car\", \"angle\": -1.45, \"bbox_2d\": [506.73, 178.28, 576.66, 229.03], \"bbox_3d\": [1.41, 1.62, 4.19, -2.01, 1.6, 22.4], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -2.99, \"bbox_2d\": [418.73, 173.0, 511.81, 212.41], \"bbox_3d\": [1.42, 1.59, 3.21, -5.42, 1.45, 27.38], \"ry\": 3.07}, {\"label\": \"car\", \"angle\": 2.37, \"bbox_2d\": [1057.13, 157.82, 1242.0, 370.99], \"bbox_3d\": [1.68, 1.71, 4.07, 6.61, 1.59, 6.57], \"ry\": 3.13}, {\"label\": \"car\", \"angle\": -0.56, \"bbox_2d\": [942.71, 175.32, 1242.0, 314.94], \"bbox_3d\": [1.53, 1.7, 4.32, 6.63, 1.59, 8.89], \"ry\": 0.05}, {\"label\": \"car\", \"angle\": 2.74, \"bbox_2d\": [813.21, 171.69, 1060.63, 255.99], \"bbox_3d\": [1.54, 1.78, 4.2, 6.41, 1.55, 14.45], \"ry\": 3.13}]\n```"
            }
        ]
    },
    {
        "id": 96,
        "data_source": "Mono3DRefer",
        "scene_name": "000754",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [424.44, 187.64, 524.16, 266.72], \"bbox_3d\": [1.46, 1.6, 3.33, -2.83, 1.8, 15.45], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [676.58, 176.34, 781.77, 260.01], \"bbox_3d\": [1.64, 1.7, 3.54, 2.49, 1.74, 16.08], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -1.71, \"bbox_2d\": [664.96, 185.88, 735.92, 240.06], \"bbox_3d\": [1.37, 1.51, 3.39, 2.44, 1.76, 20.48], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": 1.63, \"bbox_2d\": [534.25, 181.92, 570.01, 211.97], \"bbox_3d\": [1.55, 1.68, 4.42, -3.19, 2.07, 40.05], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 97,
        "data_source": "Mono3DRefer",
        "scene_name": "000754_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [717.84, 187.64, 817.56, 266.72], \"bbox_3d\": [1.46, 1.6, 3.33, 3.26, 1.8, 15.45], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [460.23, 176.34, 565.42, 260.01], \"bbox_3d\": [1.64, 1.7, 3.54, -2.04, 1.74, 16.08], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.43, \"bbox_2d\": [506.08, 185.88, 577.04, 240.06], \"bbox_3d\": [1.37, 1.51, 3.39, -1.85, 1.76, 20.48], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": 1.51, \"bbox_2d\": [671.99, 181.92, 707.75, 211.97], \"bbox_3d\": [1.55, 1.68, 4.42, 4.4, 2.07, 40.05], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 98,
        "data_source": "Mono3DRefer",
        "scene_name": "000766",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.22, \"bbox_2d\": [763.02, 175.47, 853.81, 211.96], \"bbox_3d\": [1.62, 1.58, 3.78, 9.11, 1.76, 33.45], \"ry\": 0.05}, {\"label\": \"car\", \"angle\": -1.6, \"bbox_2d\": [661.28, 174.22, 682.9, 193.97], \"bbox_3d\": [1.47, 1.55, 3.67, 4.79, 1.6, 56.2], \"ry\": -1.52}]\n```"
            }
        ]
    },
    {
        "id": 99,
        "data_source": "Mono3DRefer",
        "scene_name": "000766_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.92, \"bbox_2d\": [388.19, 175.47, 478.98, 211.96], \"bbox_3d\": [1.62, 1.58, 3.78, -8.11, 1.76, 33.45], \"ry\": 3.09}, {\"label\": \"car\", \"angle\": -1.54, \"bbox_2d\": [559.1, 174.22, 580.72, 193.97], \"bbox_3d\": [1.47, 1.55, 3.67, -3.07, 1.6, 56.2], \"ry\": -1.62}]\n```"
            }
        ]
    },
    {
        "id": 100,
        "data_source": "Mono3DRefer",
        "scene_name": "000772",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.24, \"bbox_2d\": [1141.49, 173.73, 1241.0, 272.86], \"bbox_3d\": [1.65, 1.67, 3.64, 11.72, 1.67, 13.43], \"ry\": -0.53}, {\"label\": \"car\", \"angle\": 2.22, \"bbox_2d\": [901.27, 174.98, 1037.57, 233.75], \"bbox_3d\": [1.59, 1.55, 3.93, 10.65, 1.68, 21.42], \"ry\": 2.68}, {\"label\": \"car\", \"angle\": 2.03, \"bbox_2d\": [1107.36, 178.76, 1221.84, 222.99], \"bbox_3d\": [1.47, 1.57, 4.24, 20.12, 1.71, 26.19], \"ry\": 2.68}]\n```"
            }
        ]
    },
    {
        "id": 101,
        "data_source": "Mono3DRefer",
        "scene_name": "000772_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.9, \"bbox_2d\": [1.0, 173.73, 100.51, 272.86], \"bbox_3d\": [1.65, 1.67, 3.64, -11.36, 1.67, 13.43], \"ry\": -2.61}, {\"label\": \"car\", \"angle\": 0.92, \"bbox_2d\": [204.43, 174.98, 340.73, 233.75], \"bbox_3d\": [1.59, 1.55, 3.93, -10.03, 1.68, 21.42], \"ry\": 0.46}, {\"label\": \"car\", \"angle\": 1.11, \"bbox_2d\": [20.16, 178.76, 134.64, 222.99], \"bbox_3d\": [1.47, 1.57, 4.24, -19.35, 1.71, 26.19], \"ry\": 0.46}]\n```"
            }
        ]
    },
    {
        "id": 102,
        "data_source": "Mono3DRefer",
        "scene_name": "000790",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.33, \"bbox_2d\": [631.31, 166.25, 712.0, 224.24], \"bbox_3d\": [1.79, 1.72, 4.35, 1.96, 1.61, 24.68], \"ry\": 1.41}, {\"label\": \"car\", \"angle\": 1.66, \"bbox_2d\": [412.54, 184.6, 468.42, 231.64], \"bbox_3d\": [1.45, 1.49, 4.07, -5.8, 1.87, 24.85], \"ry\": 1.43}, {\"label\": \"car\", \"angle\": 1.65, \"bbox_2d\": [445.6, 187.03, 486.07, 217.34], \"bbox_3d\": [1.27, 1.54, 3.58, -6.61, 1.94, 33.16], \"ry\": 1.45}]\n```"
            }
        ]
    },
    {
        "id": 103,
        "data_source": "Mono3DRefer",
        "scene_name": "000790_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.81, \"bbox_2d\": [530.0, 166.25, 610.69, 224.24], \"bbox_3d\": [1.79, 1.72, 4.35, -1.24, 1.61, 24.68], \"ry\": 1.73}, {\"label\": \"car\", \"angle\": 1.48, \"bbox_2d\": [773.58, 184.6, 829.46, 231.64], \"bbox_3d\": [1.45, 1.49, 4.07, 6.53, 1.87, 24.85], \"ry\": 1.71}, {\"label\": \"car\", \"angle\": 1.49, \"bbox_2d\": [755.93, 187.03, 796.4, 217.34], \"bbox_3d\": [1.27, 1.54, 3.58, 7.6, 1.94, 33.16], \"ry\": 1.69}]\n```"
            }
        ]
    },
    {
        "id": 104,
        "data_source": "Mono3DRefer",
        "scene_name": "000795",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -3.05, \"bbox_2d\": [980.19, 171.36, 1202.98, 239.62], \"bbox_3d\": [1.49, 1.53, 4.38, 11.62, 1.49, 17.68], \"ry\": -2.48}, {\"label\": \"car\", \"angle\": 1.77, \"bbox_2d\": [501.49, 182.06, 556.38, 219.63], \"bbox_3d\": [1.61, 1.74, 4.06, -3.72, 2.05, 33.48], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [689.93, 174.39, 719.15, 203.3], \"bbox_3d\": [1.77, 1.77, 5.1, 6.13, 1.9, 47.2], \"ry\": -1.45}, {\"label\": \"car\", \"angle\": 0.38, \"bbox_2d\": [240.46, 186.37, 349.64, 221.23], \"bbox_3d\": [1.5, 1.87, 4.23, -14.54, 2.16, 33.39], \"ry\": -0.03}, {\"label\": \"car\", \"angle\": -1.8, \"bbox_2d\": [753.18, 189.21, 912.75, 286.1], \"bbox_3d\": [1.38, 1.73, 3.97, 3.67, 1.71, 12.74], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": 2.98, \"bbox_2d\": [1198.09, 156.73, 1241.0, 264.99], \"bbox_3d\": [1.74, 1.58, 3.9, 11.79, 1.46, 11.33], \"ry\": -2.51}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [721.72, 182.39, 815.61, 249.62], \"bbox_3d\": [1.5, 1.62, 4.11, 3.87, 1.76, 18.4], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": 1.82, \"bbox_2d\": [474.47, 183.45, 539.95, 226.98], \"bbox_3d\": [1.58, 1.68, 3.76, -4.03, 2.02, 28.59], \"ry\": 1.68}]\n```"
            }
        ]
    },
    {
        "id": 105,
        "data_source": "Mono3DRefer",
        "scene_name": "000795_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.09, \"bbox_2d\": [39.02, 171.36, 261.81, 239.62], \"bbox_3d\": [1.49, 1.53, 4.38, -11.12, 1.49, 17.68], \"ry\": -0.66}, {\"label\": \"car\", \"angle\": 1.37, \"bbox_2d\": [685.62, 182.06, 740.51, 219.63], \"bbox_3d\": [1.61, 1.74, 4.06, 4.72, 2.05, 33.48], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [522.85, 174.39, 552.07, 203.3], \"bbox_3d\": [1.77, 1.77, 5.1, -4.7, 1.9, 47.2], \"ry\": -1.69}, {\"label\": \"car\", \"angle\": 2.76, \"bbox_2d\": [892.36, 186.37, 1001.54, 221.23], \"bbox_3d\": [1.5, 1.87, 4.23, 15.54, 2.16, 33.39], \"ry\": -3.11}, {\"label\": \"car\", \"angle\": -1.34, \"bbox_2d\": [329.25, 189.21, 488.82, 286.1], \"bbox_3d\": [1.38, 1.73, 3.97, -3.33, 1.71, 12.74], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": 0.16, \"bbox_2d\": [1.0, 156.73, 43.91, 264.99], \"bbox_3d\": [1.74, 1.58, 3.9, -11.49, 1.46, 11.33], \"ry\": -0.63}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [426.39, 182.39, 520.28, 249.62], \"bbox_3d\": [1.5, 1.62, 4.11, -3.35, 1.76, 18.4], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": 1.32, \"bbox_2d\": [702.05, 183.45, 767.53, 226.98], \"bbox_3d\": [1.58, 1.68, 3.76, 4.87, 2.02, 28.59], \"ry\": 1.46}]\n```"
            }
        ]
    },
    {
        "id": 106,
        "data_source": "Mono3DRefer",
        "scene_name": "000801",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.66, \"bbox_2d\": [626.6, 173.38, 741.32, 276.5], \"bbox_3d\": [1.46, 1.53, 3.17, 1.05, 1.49, 11.91], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 107,
        "data_source": "Mono3DRefer",
        "scene_name": "000801_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.48, \"bbox_2d\": [500.68, 173.38, 615.4, 276.5], \"bbox_3d\": [1.46, 1.53, 3.17, -0.73, 1.49, 11.91], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 108,
        "data_source": "Mono3DRefer",
        "scene_name": "000812",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [588.14, 171.35, 638.34, 219.68], \"bbox_3d\": [1.66, 1.73, 3.05, 0.07, 1.64, 26.61], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 109,
        "data_source": "Mono3DRefer",
        "scene_name": "000812_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [603.66, 171.35, 653.86, 219.68], \"bbox_3d\": [1.66, 1.73, 3.05, 0.71, 1.64, 26.61], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 110,
        "data_source": "Mono3DRefer",
        "scene_name": "000852",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.75, \"bbox_2d\": [406.46, 187.77, 497.51, 254.53], \"bbox_3d\": [1.39, 1.48, 3.76, -3.75, 1.78, 17.48], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.63, \"bbox_2d\": [529.45, 177.68, 564.3, 204.79], \"bbox_3d\": [1.46, 1.75, 4.23, -3.61, 1.76, 41.53], \"ry\": 1.54}]\n```"
            }
        ]
    },
    {
        "id": 111,
        "data_source": "Mono3DRefer",
        "scene_name": "000852_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.39, \"bbox_2d\": [744.49, 187.77, 835.54, 254.53], \"bbox_3d\": [1.39, 1.48, 3.76, 4.24, 1.78, 17.48], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.51, \"bbox_2d\": [677.7, 177.68, 712.55, 204.79], \"bbox_3d\": [1.46, 1.75, 4.23, 4.86, 1.76, 41.53], \"ry\": 1.6}]\n```"
            }
        ]
    },
    {
        "id": 112,
        "data_source": "Mono3DRefer",
        "scene_name": "000838",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.17, \"bbox_2d\": [655.83, 180.72, 747.16, 211.9], \"bbox_3d\": [1.45, 1.6, 4.23, 4.43, 1.86, 35.5], \"ry\": -0.05}]\n```"
            }
        ]
    },
    {
        "id": 113,
        "data_source": "Mono3DRefer",
        "scene_name": "000838_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.97, \"bbox_2d\": [494.84, 180.72, 586.17, 211.9], \"bbox_3d\": [1.45, 1.6, 4.23, -3.37, 1.86, 35.5], \"ry\": -3.09}]\n```"
            }
        ]
    },
    {
        "id": 114,
        "data_source": "Mono3DRefer",
        "scene_name": "000843",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.23, \"bbox_2d\": [0.0, 210.68, 198.6, 374.0], \"bbox_3d\": [1.42, 1.54, 3.5, -6.05, 1.89, 7.43], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.84, \"bbox_2d\": [734.16, 174.44, 928.73, 297.74], \"bbox_3d\": [1.51, 1.75, 3.78, 3.03, 1.56, 10.84], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 2.01, \"bbox_2d\": [173.86, 197.53, 364.42, 293.14], \"bbox_3d\": [1.36, 1.51, 4.02, -5.98, 1.86, 13.1], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.84, \"bbox_2d\": [359.02, 179.63, 454.33, 245.15], \"bbox_3d\": [1.74, 1.65, 4.11, -5.93, 1.95, 21.37], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.65, \"bbox_2d\": [549.8, 178.34, 579.83, 199.3], \"bbox_3d\": [1.41, 1.76, 4.4, -3.19, 1.81, 51.25], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [417.11, 180.0, 484.05, 225.35], \"bbox_3d\": [1.61, 1.64, 4.0, -6.1, 1.9, 27.86], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.73, \"bbox_2d\": [472.42, 182.37, 515.91, 211.04], \"bbox_3d\": [1.43, 1.7, 3.74, -6.17, 1.96, 38.6], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [639.59, 175.1, 662.2, 194.49], \"bbox_3d\": [1.55, 1.66, 4.15, 3.37, 1.76, 60.25], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 2.98, \"bbox_2d\": [697.03, 169.1, 764.3, 190.14], \"bbox_3d\": [1.47, 1.7, 4.65, 8.81, 1.24, 53.04], \"ry\": -3.14}]\n```"
            }
        ]
    },
    {
        "id": 115,
        "data_source": "Mono3DRefer",
        "scene_name": "000843_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.91, \"bbox_2d\": [1043.4, 210.68, 1242.0, 374.0], \"bbox_3d\": [1.42, 1.54, 3.5, 6.22, 1.89, 7.43], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.3, \"bbox_2d\": [313.27, 174.44, 507.84, 297.74], \"bbox_3d\": [1.51, 1.75, 3.78, -2.75, 1.56, 10.84], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.13, \"bbox_2d\": [877.58, 197.53, 1068.14, 293.14], \"bbox_3d\": [1.36, 1.51, 4.02, 6.33, 1.86, 13.1], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.3, \"bbox_2d\": [787.67, 179.63, 882.98, 245.15], \"bbox_3d\": [1.74, 1.65, 4.11, 6.55, 1.95, 21.37], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.49, \"bbox_2d\": [662.17, 178.34, 692.2, 199.3], \"bbox_3d\": [1.41, 1.76, 4.4, 4.75, 1.81, 51.25], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [757.95, 180.0, 824.89, 225.35], \"bbox_3d\": [1.61, 1.64, 4.0, 6.92, 1.9, 27.86], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.41, \"bbox_2d\": [726.09, 182.37, 769.58, 211.04], \"bbox_3d\": [1.43, 1.7, 3.74, 7.33, 1.96, 38.6], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [579.8, 175.1, 602.41, 194.49], \"bbox_3d\": [1.55, 1.66, 4.15, -1.52, 1.76, 60.25], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 0.16, \"bbox_2d\": [477.7, 169.1, 544.97, 190.14], \"bbox_3d\": [1.47, 1.7, 4.65, -7.19, 1.24, 53.04], \"ry\": -0.0}]\n```"
            }
        ]
    },
    {
        "id": 116,
        "data_source": "Mono3DRefer",
        "scene_name": "000949",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.12, \"bbox_2d\": [73.24, 186.87, 231.16, 246.07], \"bbox_3d\": [1.55, 1.88, 4.59, -13.68, 2.0, 21.88], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 117,
        "data_source": "Mono3DRefer",
        "scene_name": "000949_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.02, \"bbox_2d\": [1010.84, 186.87, 1168.76, 246.07], \"bbox_3d\": [1.55, 1.88, 4.59, 14.31, 2.0, 21.88], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 118,
        "data_source": "Mono3DRefer",
        "scene_name": "000863",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.0, \"bbox_2d\": [853.02, 174.67, 1241.0, 374.0], \"bbox_3d\": [1.57, 1.56, 2.62, 2.6, 1.6, 4.41], \"ry\": -1.5}, {\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [636.63, 177.66, 671.72, 201.34], \"bbox_3d\": [1.5, 1.7, 3.77, 2.96, 1.84, 48.04], \"ry\": 1.8}]\n```"
            }
        ]
    },
    {
        "id": 119,
        "data_source": "Mono3DRefer",
        "scene_name": "000863_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.14, \"bbox_2d\": [1.0, 174.67, 388.98, 374.0], \"bbox_3d\": [1.57, 1.56, 2.62, -2.52, 1.6, 4.41], \"ry\": -1.64}, {\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [570.28, 177.66, 605.37, 201.34], \"bbox_3d\": [1.5, 1.7, 3.77, -1.5, 1.84, 48.04], \"ry\": 1.34}]\n```"
            }
        ]
    },
    {
        "id": 120,
        "data_source": "Mono3DRefer",
        "scene_name": "000988",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.04, \"bbox_2d\": [199.0, 190.86, 280.35, 225.96], \"bbox_3d\": [1.38, 1.8, 3.41, -16.08, 2.2, 31.43], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 2.02, \"bbox_2d\": [388.38, 183.3, 429.67, 203.17], \"bbox_3d\": [1.45, 1.74, 3.42, -15.45, 2.27, 55.56], \"ry\": 1.75}]\n```"
            }
        ]
    },
    {
        "id": 121,
        "data_source": "Mono3DRefer",
        "scene_name": "000988_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.1, \"bbox_2d\": [961.65, 190.86, 1043.0, 225.96], \"bbox_3d\": [1.38, 1.8, 3.41, 17.01, 2.2, 31.43], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.12, \"bbox_2d\": [812.33, 183.3, 853.62, 203.17], \"bbox_3d\": [1.45, 1.74, 3.42, 17.15, 2.27, 55.56], \"ry\": 1.39}]\n```"
            }
        ]
    },
    {
        "id": 122,
        "data_source": "Mono3DRefer",
        "scene_name": "000991",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [609.0, 175.97, 649.27, 216.41], \"bbox_3d\": [1.57, 1.56, 2.62, 0.75, 1.72, 29.63], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 1.81, \"bbox_2d\": [415.78, 186.79, 516.72, 248.26], \"bbox_3d\": [1.43, 1.68, 4.19, -3.77, 1.83, 19.45], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [480.68, 183.82, 537.9, 228.62], \"bbox_3d\": [1.46, 1.59, 4.27, -3.62, 1.88, 26.25], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [518.65, 179.79, 559.57, 207.68], \"bbox_3d\": [1.38, 1.62, 4.06, -3.72, 1.76, 38.15], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [545.82, 173.97, 573.17, 195.06], \"bbox_3d\": [1.49, 1.53, 3.88, -3.73, 1.6, 53.48], \"ry\": 1.63}]\n```"
            }
        ]
    },
    {
        "id": 123,
        "data_source": "Mono3DRefer",
        "scene_name": "000991_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [592.73, 175.97, 633.0, 216.41], \"bbox_3d\": [1.57, 1.56, 2.62, 0.13, 1.72, 29.63], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 1.33, \"bbox_2d\": [725.28, 186.79, 826.22, 248.26], \"bbox_3d\": [1.43, 1.68, 4.19, 4.32, 1.83, 19.45], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [704.1, 183.82, 761.32, 228.62], \"bbox_3d\": [1.46, 1.59, 4.27, 4.39, 1.88, 26.25], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [682.43, 179.79, 723.35, 207.68], \"bbox_3d\": [1.38, 1.62, 4.06, 4.87, 1.76, 38.15], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [668.83, 173.97, 696.18, 195.06], \"bbox_3d\": [1.49, 1.53, 3.88, 5.36, 1.6, 53.48], \"ry\": 1.51}]\n```"
            }
        ]
    },
    {
        "id": 124,
        "data_source": "Mono3DRefer",
        "scene_name": "001065",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.9, \"bbox_2d\": [746.12, 184.82, 1011.23, 339.89], \"bbox_3d\": [1.36, 1.55, 3.87, 2.75, 1.52, 8.45], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.76, \"bbox_2d\": [681.97, 169.16, 770.57, 243.71], \"bbox_3d\": [1.62, 1.48, 3.36, 2.69, 1.57, 17.56], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": 0.42, \"bbox_2d\": [225.97, 174.51, 437.53, 249.06], \"bbox_3d\": [1.55, 1.7, 4.09, -6.19, 1.62, 16.2], \"ry\": 0.06}, {\"label\": \"car\", \"angle\": -2.85, \"bbox_2d\": [311.86, 159.5, 443.96, 229.56], \"bbox_3d\": [1.95, 1.67, 3.35, -6.79, 1.59, 21.23], \"ry\": 3.13}, {\"label\": \"car\", \"angle\": 0.23, \"bbox_2d\": [394.04, 174.68, 500.06, 215.61], \"bbox_3d\": [1.43, 1.49, 3.56, -5.99, 1.52, 26.6], \"ry\": 0.01}, {\"label\": \"car\", \"angle\": 0.21, \"bbox_2d\": [418.84, 171.89, 517.76, 212.18], \"bbox_3d\": [1.53, 1.6, 3.62, -5.66, 1.52, 28.88], \"ry\": 0.01}, {\"label\": \"car\", \"angle\": 0.12, \"bbox_2d\": [472.05, 161.29, 541.05, 193.65], \"bbox_3d\": [2.08, 1.8, 4.37, -6.9, 1.35, 48.27], \"ry\": -0.02}, {\"label\": \"car\", \"angle\": -1.68, \"bbox_2d\": [650.97, 174.73, 694.79, 208.86], \"bbox_3d\": [1.38, 1.49, 3.38, 2.64, 1.49, 31.26], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -2.34, \"bbox_2d\": [928.17, 160.85, 1241.0, 374.0], \"bbox_3d\": [1.66, 1.74, 3.65, 2.75, 1.62, 2.5], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 125,
        "data_source": "Mono3DRefer",
        "scene_name": "001065_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.24, \"bbox_2d\": [230.77, 184.82, 495.88, 339.89], \"bbox_3d\": [1.36, 1.55, 3.87, -2.54, 1.52, 8.45], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.38, \"bbox_2d\": [471.43, 169.16, 560.03, 243.71], \"bbox_3d\": [1.62, 1.48, 3.36, -2.2, 1.57, 17.56], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": 2.72, \"bbox_2d\": [804.47, 174.51, 1016.03, 249.06], \"bbox_3d\": [1.55, 1.7, 4.09, 6.64, 1.62, 16.2], \"ry\": 3.08}, {\"label\": \"car\", \"angle\": -0.29, \"bbox_2d\": [798.04, 159.5, 930.14, 229.56], \"bbox_3d\": [1.95, 1.67, 3.35, 7.4, 1.59, 21.23], \"ry\": 0.01}, {\"label\": \"car\", \"angle\": 2.91, \"bbox_2d\": [741.94, 174.68, 847.96, 215.61], \"bbox_3d\": [1.43, 1.49, 3.56, 6.77, 1.52, 26.6], \"ry\": 3.13}, {\"label\": \"car\", \"angle\": 2.93, \"bbox_2d\": [724.24, 171.89, 823.16, 212.18], \"bbox_3d\": [1.53, 1.6, 3.62, 6.51, 1.52, 28.88], \"ry\": 3.13}, {\"label\": \"car\", \"angle\": 3.02, \"bbox_2d\": [700.95, 161.29, 769.95, 193.65], \"bbox_3d\": [2.08, 1.8, 4.37, 8.37, 1.35, 48.27], \"ry\": -3.12}, {\"label\": \"car\", \"angle\": -1.46, \"bbox_2d\": [547.21, 174.73, 591.03, 208.86], \"bbox_3d\": [1.38, 1.49, 3.38, -1.71, 1.49, 31.26], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -0.8, \"bbox_2d\": [1.0, 160.85, 313.83, 374.0], \"bbox_3d\": [1.66, 1.74, 3.65, -2.73, 1.62, 2.5], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 126,
        "data_source": "Mono3DRefer",
        "scene_name": "001068",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [515.71, 166.73, 562.9, 209.2], \"bbox_3d\": [2.11, 2.04, 4.62, -3.23, 1.37, 38.35], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 127,
        "data_source": "Mono3DRefer",
        "scene_name": "001068_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [675.1, 166.73, 722.29, 209.2], \"bbox_3d\": [2.11, 2.04, 4.62, 5.16, 1.37, 38.35], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 128,
        "data_source": "Mono3DRefer",
        "scene_name": "001084",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [501.36, 176.72, 568.58, 229.86], \"bbox_3d\": [1.46, 1.63, 4.47, -2.26, 1.6, 22.36], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.75, \"bbox_2d\": [543.9, 166.03, 599.42, 205.38], \"bbox_3d\": [1.7, 1.82, 4.45, -1.74, 1.43, 33.63], \"ry\": 1.69}, {\"label\": \"car\", \"angle\": -0.53, \"bbox_2d\": [603.83, 168.41, 652.99, 194.39], \"bbox_3d\": [1.57, 1.56, 2.62, 1.12, 1.31, 45.07], \"ry\": -0.5}, {\"label\": \"car\", \"angle\": -2.63, \"bbox_2d\": [0.0, 174.25, 334.18, 301.26], \"bbox_3d\": [1.47, 1.68, 4.26, -6.11, 1.52, 9.44], \"ry\": 3.09}]\n```"
            }
        ]
    },
    {
        "id": 129,
        "data_source": "Mono3DRefer",
        "scene_name": "001084_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [673.42, 176.72, 740.64, 229.86], \"bbox_3d\": [1.46, 1.63, 4.47, 2.91, 1.6, 22.36], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.39, \"bbox_2d\": [642.58, 166.03, 698.1, 205.38], \"bbox_3d\": [1.7, 1.82, 4.45, 2.74, 1.43, 33.63], \"ry\": 1.45}, {\"label\": \"car\", \"angle\": -2.61, \"bbox_2d\": [589.01, 168.41, 638.17, 194.39], \"bbox_3d\": [1.57, 1.56, 2.62, 0.25, 1.31, 45.07], \"ry\": -2.64}, {\"label\": \"car\", \"angle\": -0.51, \"bbox_2d\": [907.82, 174.25, 1242.0, 301.26], \"bbox_3d\": [1.47, 1.68, 4.26, 6.35, 1.52, 9.44], \"ry\": 0.05}]\n```"
            }
        ]
    },
    {
        "id": 130,
        "data_source": "Mono3DRefer",
        "scene_name": "001089",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [0.0, 131.13, 296.73, 374.0], \"bbox_3d\": [2.01, 1.89, 4.91, -4.94, 1.7, 8.36], \"ry\": 1.24}, {\"label\": \"car\", \"angle\": -1.51, \"bbox_2d\": [300.57, 185.39, 356.93, 235.41], \"bbox_3d\": [1.65, 1.67, 3.81, -10.21, 2.12, 26.29], \"ry\": -1.88}, {\"label\": \"car\", \"angle\": -1.72, \"bbox_2d\": [493.74, 182.35, 552.96, 231.2], \"bbox_3d\": [1.52, 1.51, 3.1, -3.03, 1.85, 24.44], \"ry\": -1.85}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [470.96, 183.54, 524.95, 224.92], \"bbox_3d\": [1.53, 1.58, 3.53, -4.58, 1.97, 28.9], \"ry\": -1.89}, {\"label\": \"car\", \"angle\": -1.6, \"bbox_2d\": [455.42, 182.65, 486.04, 209.51], \"bbox_3d\": [1.46, 1.6, 3.71, -8.11, 2.03, 41.7], \"ry\": -1.79}, {\"label\": \"car\", \"angle\": -1.75, \"bbox_2d\": [515.32, 181.89, 608.01, 251.21], \"bbox_3d\": [1.57, 1.72, 3.52, -1.37, 1.81, 18.41], \"ry\": -1.82}]\n```"
            }
        ]
    },
    {
        "id": 131,
        "data_source": "Mono3DRefer",
        "scene_name": "001089_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [945.27, 131.13, 1242.0, 374.0], \"bbox_3d\": [2.01, 1.89, 4.91, 5.14, 1.7, 8.36], \"ry\": 1.9}, {\"label\": \"car\", \"angle\": -1.63, \"bbox_2d\": [885.07, 185.39, 941.43, 235.41], \"bbox_3d\": [1.65, 1.67, 3.81, 10.98, 2.12, 26.29], \"ry\": -1.26}, {\"label\": \"car\", \"angle\": -1.42, \"bbox_2d\": [689.04, 182.35, 748.26, 231.2], \"bbox_3d\": [1.52, 1.51, 3.1, 3.74, 1.85, 24.44], \"ry\": -1.29}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [717.05, 183.54, 771.04, 224.92], \"bbox_3d\": [1.53, 1.58, 3.53, 5.43, 1.97, 28.9], \"ry\": -1.25}, {\"label\": \"car\", \"angle\": -1.54, \"bbox_2d\": [755.96, 182.65, 786.58, 209.51], \"bbox_3d\": [1.46, 1.6, 3.71, 9.37, 2.03, 41.7], \"ry\": -1.35}, {\"label\": \"car\", \"angle\": -1.39, \"bbox_2d\": [633.99, 181.89, 726.68, 251.21], \"bbox_3d\": [1.57, 1.72, 3.52, 1.89, 1.81, 18.41], \"ry\": -1.32}]\n```"
            }
        ]
    },
    {
        "id": 132,
        "data_source": "Mono3DRefer",
        "scene_name": "001097",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.27, \"bbox_2d\": [0.0, 192.2, 290.4, 374.0], \"bbox_3d\": [1.55, 1.64, 3.7, -3.5, 1.7, 4.01], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.38, \"bbox_2d\": [461.32, 164.7, 592.81, 259.2], \"bbox_3d\": [1.63, 1.81, 4.54, -1.55, 1.52, 14.81], \"ry\": -1.49}, {\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [826.88, 170.66, 955.42, 286.93], \"bbox_3d\": [1.47, 1.54, 3.02, 4.1, 1.46, 10.78], \"ry\": -1.22}, {\"label\": \"car\", \"angle\": 1.86, \"bbox_2d\": [314.89, 180.93, 450.86, 259.92], \"bbox_3d\": [1.42, 1.58, 4.08, -4.63, 1.6, 15.17], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.1, \"bbox_2d\": [856.51, 162.96, 1019.92, 241.86], \"bbox_3d\": [1.5, 1.52, 4.12, 7.14, 1.32, 15.6], \"ry\": -0.68}]\n```"
            }
        ]
    },
    {
        "id": 133,
        "data_source": "Mono3DRefer",
        "scene_name": "001097_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.87, \"bbox_2d\": [951.6, 192.2, 1242.0, 374.0], \"bbox_3d\": [1.55, 1.64, 3.7, 3.56, 1.7, 4.01], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.76, \"bbox_2d\": [649.19, 164.7, 780.68, 259.2], \"bbox_3d\": [1.63, 1.81, 4.54, 1.96, 1.52, 14.81], \"ry\": -1.65}, {\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [286.58, 170.66, 415.12, 286.93], \"bbox_3d\": [1.47, 1.54, 3.02, -3.82, 1.46, 10.78], \"ry\": -1.92}, {\"label\": \"car\", \"angle\": 1.28, \"bbox_2d\": [791.14, 180.93, 927.11, 259.92], \"bbox_3d\": [1.42, 1.58, 4.08, 5.05, 1.6, 15.17], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -2.04, \"bbox_2d\": [222.08, 162.96, 385.49, 241.86], \"bbox_3d\": [1.5, 1.52, 4.12, -6.71, 1.32, 15.6], \"ry\": -2.46}]\n```"
            }
        ]
    },
    {
        "id": 134,
        "data_source": "Mono3DRefer",
        "scene_name": "001115",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.99, \"bbox_2d\": [260.12, 187.25, 311.49, 215.63], \"bbox_3d\": [1.54, 1.85, 2.47, -18.69, 2.4, 41.62], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 135,
        "data_source": "Mono3DRefer",
        "scene_name": "001115_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.15, \"bbox_2d\": [930.51, 187.25, 981.88, 215.63], \"bbox_3d\": [1.54, 1.85, 2.47, 19.95, 2.4, 41.62], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 136,
        "data_source": "Mono3DRefer",
        "scene_name": "001139",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.75, \"bbox_2d\": [449.98, 180.21, 502.92, 221.07], \"bbox_3d\": [1.74, 1.65, 4.11, -6.07, 2.08, 33.03], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [473.87, 182.47, 516.23, 213.79], \"bbox_3d\": [1.61, 1.64, 4.0, -6.3, 2.15, 39.74], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -0.9, \"bbox_2d\": [0.0, 203.29, 108.07, 252.45], \"bbox_3d\": [1.49, 1.7, 4.51, -20.82, 2.69, 26.37], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.87, \"bbox_2d\": [323.16, 194.37, 423.96, 256.75], \"bbox_3d\": [1.42, 1.54, 3.5, -6.19, 2.03, 19.13], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.69, \"bbox_2d\": [669.64, 175.01, 741.45, 227.94], \"bbox_3d\": [1.51, 1.75, 3.78, 2.88, 1.6, 22.75], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.83, \"bbox_2d\": [390.31, 191.3, 466.05, 237.13], \"bbox_3d\": [1.36, 1.51, 4.02, -6.14, 2.03, 24.63], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 137,
        "data_source": "Mono3DRefer",
        "scene_name": "001139_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.39, \"bbox_2d\": [739.08, 180.21, 792.02, 221.07], \"bbox_3d\": [1.74, 1.65, 4.11, 7.06, 2.08, 33.03], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [725.77, 182.47, 768.13, 213.79], \"bbox_3d\": [1.61, 1.64, 4.0, 7.5, 2.15, 39.74], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -2.24, \"bbox_2d\": [1133.93, 203.29, 1242.0, 252.45], \"bbox_3d\": [1.49, 1.7, 4.51, 21.59, 2.69, 26.37], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.27, \"bbox_2d\": [818.04, 194.37, 918.84, 256.75], \"bbox_3d\": [1.42, 1.54, 3.5, 6.73, 2.03, 19.13], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.45, \"bbox_2d\": [500.55, 175.01, 572.36, 227.94], \"bbox_3d\": [1.51, 1.75, 3.78, -2.22, 1.6, 22.75], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.31, \"bbox_2d\": [775.95, 191.3, 851.69, 237.13], \"bbox_3d\": [1.36, 1.51, 4.02, 6.86, 2.03, 24.63], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 138,
        "data_source": "Mono3DRefer",
        "scene_name": "001140",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.07, \"bbox_2d\": [60.48, 202.06, 304.03, 326.8], \"bbox_3d\": [1.42, 1.54, 3.5, -6.08, 1.91, 10.66], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.77, \"bbox_2d\": [706.87, 174.2, 840.44, 264.18], \"bbox_3d\": [1.51, 1.75, 3.78, 3.0, 1.56, 14.16], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.93, \"bbox_2d\": [272.47, 193.92, 408.03, 266.98], \"bbox_3d\": [1.36, 1.51, 4.02, -5.97, 1.88, 16.34], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.81, \"bbox_2d\": [395.15, 179.2, 473.39, 235.36], \"bbox_3d\": [1.74, 1.65, 4.11, -5.92, 1.97, 24.59], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.78, \"bbox_2d\": [439.95, 182.55, 497.67, 223.04], \"bbox_3d\": [1.61, 1.64, 4.0, -6.06, 2.04, 31.2], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.61, \"bbox_2d\": [638.0, 175.89, 659.23, 194.26], \"bbox_3d\": [1.55, 1.66, 4.15, 3.35, 1.84, 63.5], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 139,
        "data_source": "Mono3DRefer",
        "scene_name": "001140_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.07, \"bbox_2d\": [937.97, 202.06, 1181.52, 326.8], \"bbox_3d\": [1.42, 1.54, 3.5, 6.36, 1.91, 10.66], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.37, \"bbox_2d\": [401.56, 174.2, 535.13, 264.18], \"bbox_3d\": [1.51, 1.75, 3.78, -2.61, 1.56, 14.16], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.21, \"bbox_2d\": [833.97, 193.92, 969.53, 266.98], \"bbox_3d\": [1.36, 1.51, 4.02, 6.43, 1.88, 16.34], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.33, \"bbox_2d\": [768.61, 179.2, 846.85, 235.36], \"bbox_3d\": [1.74, 1.65, 4.11, 6.64, 1.97, 24.59], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.36, \"bbox_2d\": [744.33, 182.55, 802.05, 223.04], \"bbox_3d\": [1.61, 1.64, 4.0, 6.99, 2.04, 31.2], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.53, \"bbox_2d\": [582.77, 175.89, 604.0, 194.26], \"bbox_3d\": [1.55, 1.66, 4.15, -1.4, 1.84, 63.5], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 140,
        "data_source": "Mono3DRefer",
        "scene_name": "001144",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.63, \"bbox_2d\": [527.93, 200.8, 570.54, 240.13], \"bbox_3d\": [1.5, 1.62, 4.19, -2.68, 2.82, 32.15], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 141,
        "data_source": "Mono3DRefer",
        "scene_name": "001144_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.51, \"bbox_2d\": [671.46, 200.8, 714.07, 240.13], \"bbox_3d\": [1.5, 1.62, 4.19, 3.64, 2.82, 32.15], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 142,
        "data_source": "Mono3DRefer",
        "scene_name": "001177",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.93, \"bbox_2d\": [358.07, 183.23, 412.27, 210.05], \"bbox_3d\": [1.51, 1.86, 3.91, -13.5, 2.15, 43.45], \"ry\": 1.63}]\n```"
            }
        ]
    },
    {
        "id": 143,
        "data_source": "Mono3DRefer",
        "scene_name": "001177_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.21, \"bbox_2d\": [829.73, 183.23, 883.93, 210.05], \"bbox_3d\": [1.51, 1.86, 3.91, 14.82, 2.15, 43.45], \"ry\": 1.51}]\n```"
            }
        ]
    },
    {
        "id": 144,
        "data_source": "Mono3DRefer",
        "scene_name": "001236",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.03, \"bbox_2d\": [204.63, 185.94, 290.87, 223.36], \"bbox_3d\": [1.49, 1.76, 4.01, -15.8, 2.09, 31.64], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.93, \"bbox_2d\": [327.16, 184.42, 376.76, 208.21], \"bbox_3d\": [1.38, 1.8, 3.41, -15.93, 2.11, 44.64], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 145,
        "data_source": "Mono3DRefer",
        "scene_name": "001236_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.11, \"bbox_2d\": [951.13, 185.94, 1037.37, 223.36], \"bbox_3d\": [1.49, 1.76, 4.01, 16.74, 2.09, 31.64], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.21, \"bbox_2d\": [865.24, 184.42, 914.84, 208.21], \"bbox_3d\": [1.38, 1.8, 3.41, 17.28, 2.11, 44.64], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 146,
        "data_source": "Mono3DRefer",
        "scene_name": "001243",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [593.57, 178.95, 640.87, 225.65], \"bbox_3d\": [1.65, 1.67, 3.64, 0.28, 1.89, 27.54], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 2.03, \"bbox_2d\": [175.1, 186.35, 345.0, 258.92], \"bbox_3d\": [1.4, 1.68, 4.45, -7.87, 1.74, 16.67], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.83, \"bbox_2d\": [371.83, 184.42, 443.35, 227.61], \"bbox_3d\": [1.45, 1.62, 3.77, -7.46, 1.9, 26.8], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.81, \"bbox_2d\": [429.0, 182.09, 479.75, 215.98], \"bbox_3d\": [1.53, 1.46, 4.18, -7.56, 2.0, 35.24], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.73, \"bbox_2d\": [470.6, 181.14, 504.24, 207.65], \"bbox_3d\": [1.59, 1.57, 3.39, -7.7, 2.12, 45.4], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [491.57, 182.66, 522.06, 202.01], \"bbox_3d\": [1.35, 1.63, 4.1, -7.62, 2.09, 53.42], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 147,
        "data_source": "Mono3DRefer",
        "scene_name": "001243_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [601.13, 178.95, 648.43, 225.65], \"bbox_3d\": [1.65, 1.67, 3.64, 0.53, 1.89, 27.54], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 1.11, \"bbox_2d\": [897.0, 186.35, 1066.9, 258.92], \"bbox_3d\": [1.4, 1.68, 4.45, 8.34, 1.74, 16.67], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.31, \"bbox_2d\": [798.65, 184.42, 870.17, 227.61], \"bbox_3d\": [1.45, 1.62, 3.77, 8.25, 1.9, 26.8], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.33, \"bbox_2d\": [762.25, 182.09, 813.0, 215.98], \"bbox_3d\": [1.53, 1.46, 4.18, 8.62, 2.0, 35.24], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.41, \"bbox_2d\": [737.76, 181.14, 771.4, 207.65], \"bbox_3d\": [1.59, 1.57, 3.39, 9.08, 2.12, 45.4], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [719.94, 182.66, 750.43, 202.01], \"bbox_3d\": [1.35, 1.63, 4.1, 9.25, 2.09, 53.42], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 148,
        "data_source": "Mono3DRefer",
        "scene_name": "001251",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.75, \"bbox_2d\": [481.38, 180.09, 513.66, 202.6], \"bbox_3d\": [1.51, 1.51, 4.15, -7.9, 2.02, 50.83], \"ry\": 1.6}]\n```"
            }
        ]
    },
    {
        "id": 149,
        "data_source": "Mono3DRefer",
        "scene_name": "001251_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.39, \"bbox_2d\": [728.34, 180.09, 760.62, 202.6], \"bbox_3d\": [1.51, 1.51, 4.15, 9.45, 2.02, 50.83], \"ry\": 1.54}]\n```"
            }
        ]
    },
    {
        "id": 150,
        "data_source": "Mono3DRefer",
        "scene_name": "001260",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.82, \"bbox_2d\": [827.59, 173.26, 1150.0, 336.98], \"bbox_3d\": [1.6, 1.57, 3.23, 4.36, 1.63, 8.45], \"ry\": -0.36}, {\"label\": \"car\", \"angle\": 2.07, \"bbox_2d\": [1099.05, 177.83, 1241.0, 314.21], \"bbox_3d\": [1.57, 1.5, 3.68, 8.59, 1.64, 9.73], \"ry\": 2.78}]\n```"
            }
        ]
    },
    {
        "id": 151,
        "data_source": "Mono3DRefer",
        "scene_name": "001260_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.32, \"bbox_2d\": [92.0, 173.26, 414.41, 336.98], \"bbox_3d\": [1.6, 1.57, 3.23, -4.15, 1.63, 8.45], \"ry\": -2.78}, {\"label\": \"car\", \"angle\": 1.07, \"bbox_2d\": [1.0, 177.83, 142.95, 314.21], \"bbox_3d\": [1.57, 1.5, 3.68, -8.34, 1.64, 9.73], \"ry\": 0.36}]\n```"
            }
        ]
    },
    {
        "id": 152,
        "data_source": "Mono3DRefer",
        "scene_name": "001268",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.19, \"bbox_2d\": [133.44, 190.08, 455.8, 374.0], \"bbox_3d\": [1.47, 1.6, 3.66, -2.83, 1.67, 7.27], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": 1.77, \"bbox_2d\": [502.5, 172.92, 566.96, 222.27], \"bbox_3d\": [1.7, 1.63, 4.08, -2.78, 1.73, 27.1], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": -1.71, \"bbox_2d\": [692.9, 175.68, 790.84, 261.47], \"bbox_3d\": [1.59, 1.59, 2.47, 2.56, 1.66, 14.71], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [678.39, 185.69, 747.06, 242.04], \"bbox_3d\": [1.37, 1.59, 3.22, 2.68, 1.74, 19.64], \"ry\": -1.51}, {\"label\": \"car\", \"angle\": 1.54, \"bbox_2d\": [641.6, 177.73, 665.92, 199.41], \"bbox_3d\": [1.49, 1.61, 3.74, 3.09, 1.85, 51.85], \"ry\": 1.6}]\n```"
            }
        ]
    },
    {
        "id": 153,
        "data_source": "Mono3DRefer",
        "scene_name": "001268_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.95, \"bbox_2d\": [786.2, 190.08, 1108.56, 374.0], \"bbox_3d\": [1.47, 1.6, 3.66, 3.0, 1.67, 7.27], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": 1.37, \"bbox_2d\": [675.04, 172.92, 739.5, 222.27], \"bbox_3d\": [1.7, 1.63, 4.08, 3.58, 1.73, 27.1], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": -1.43, \"bbox_2d\": [451.16, 175.68, 549.1, 261.47], \"bbox_3d\": [1.59, 1.59, 2.47, -2.16, 1.66, 14.71], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [494.94, 185.69, 563.61, 242.04], \"bbox_3d\": [1.37, 1.59, 3.22, -2.12, 1.74, 19.64], \"ry\": -1.63}, {\"label\": \"car\", \"angle\": 1.6, \"bbox_2d\": [576.08, 177.73, 600.4, 199.41], \"bbox_3d\": [1.49, 1.61, 3.74, -1.51, 1.85, 51.85], \"ry\": 1.54}]\n```"
            }
        ]
    },
    {
        "id": 154,
        "data_source": "Mono3DRefer",
        "scene_name": "001271",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.86, \"bbox_2d\": [252.9, 173.87, 448.96, 296.63], \"bbox_3d\": [1.5, 1.62, 4.19, -3.73, 1.55, 11.04], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [638.02, 187.14, 663.03, 207.15], \"bbox_3d\": [1.41, 1.58, 4.36, 3.03, 2.53, 55.02], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 155,
        "data_source": "Mono3DRefer",
        "scene_name": "001271_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.28, \"bbox_2d\": [793.04, 173.87, 989.1, 296.63], \"bbox_3d\": [1.5, 1.62, 4.19, 4.02, 1.55, 11.04], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [578.97, 187.14, 603.98, 207.15], \"bbox_3d\": [1.41, 1.58, 4.36, -1.35, 2.53, 55.02], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 156,
        "data_source": "Mono3DRefer",
        "scene_name": "001303",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.31, \"bbox_2d\": [341.6, 180.66, 483.83, 236.05], \"bbox_3d\": [1.47, 1.72, 4.22, -5.83, 1.72, 21.71], \"ry\": 2.05}, {\"label\": \"car\", \"angle\": 2.55, \"bbox_2d\": [566.09, 173.3, 697.62, 216.04], \"bbox_3d\": [1.48, 1.87, 4.74, 0.84, 1.52, 27.36], \"ry\": 2.58}, {\"label\": \"car\", \"angle\": -0.25, \"bbox_2d\": [686.37, 165.77, 866.43, 233.82], \"bbox_3d\": [1.63, 1.69, 4.23, 4.18, 1.49, 18.68], \"ry\": -0.04}]\n```"
            }
        ]
    },
    {
        "id": 157,
        "data_source": "Mono3DRefer",
        "scene_name": "001303_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.83, \"bbox_2d\": [758.17, 180.66, 900.4, 236.05], \"bbox_3d\": [1.47, 1.72, 4.22, 6.46, 1.72, 21.71], \"ry\": 1.09}, {\"label\": \"car\", \"angle\": 0.59, \"bbox_2d\": [544.38, 173.3, 675.91, 216.04], \"bbox_3d\": [1.48, 1.87, 4.74, -0.03, 1.52, 27.36], \"ry\": 0.56}, {\"label\": \"car\", \"angle\": -2.89, \"bbox_2d\": [375.57, 165.77, 555.63, 233.82], \"bbox_3d\": [1.63, 1.69, 4.23, -3.65, 1.49, 18.68], \"ry\": -3.1}]\n```"
            }
        ]
    },
    {
        "id": 158,
        "data_source": "Mono3DRefer",
        "scene_name": "001304",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [600.35, 174.09, 630.17, 202.81], \"bbox_3d\": [1.66, 1.73, 3.05, 0.28, 1.76, 43.75], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 2.15, \"bbox_2d\": [71.19, 198.56, 187.22, 247.73], \"bbox_3d\": [1.43, 1.56, 3.5, -16.09, 2.35, 24.3], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.82, \"bbox_2d\": [416.51, 185.22, 451.27, 206.36], \"bbox_3d\": [1.44, 1.63, 3.43, -12.75, 2.36, 52.33], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 159,
        "data_source": "Mono3DRefer",
        "scene_name": "001304_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [611.83, 174.09, 641.65, 202.81], \"bbox_3d\": [1.66, 1.73, 3.05, 1.05, 1.76, 43.75], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 0.99, \"bbox_2d\": [1054.78, 198.56, 1170.81, 247.73], \"bbox_3d\": [1.43, 1.56, 3.5, 16.8, 2.35, 24.3], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.32, \"bbox_2d\": [790.73, 185.22, 825.49, 206.36], \"bbox_3d\": [1.44, 1.63, 3.43, 14.35, 2.36, 52.33], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 160,
        "data_source": "Mono3DRefer",
        "scene_name": "001350",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [583.52, 169.94, 605.61, 187.44], \"bbox_3d\": [1.26, 1.6, 3.56, -1.2, 1.07, 54.32], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 161,
        "data_source": "Mono3DRefer",
        "scene_name": "001350_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [636.39, 169.94, 658.48, 187.44], \"bbox_3d\": [1.26, 1.6, 3.56, 2.86, 1.07, 54.32], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 162,
        "data_source": "Mono3DRefer",
        "scene_name": "001432",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [650.77, 187.15, 702.31, 227.15], \"bbox_3d\": [1.41, 1.58, 4.36, 2.53, 2.0, 28.63], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 163,
        "data_source": "Mono3DRefer",
        "scene_name": "001432_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [539.69, 187.15, 591.23, 227.15], \"bbox_3d\": [1.41, 1.58, 4.36, -1.68, 2.0, 28.63], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 164,
        "data_source": "Mono3DRefer",
        "scene_name": "001435",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [664.13, 178.09, 715.62, 228.43], \"bbox_3d\": [1.65, 1.67, 3.64, 2.81, 1.85, 25.6], \"ry\": -1.45}, {\"label\": \"car\", \"angle\": 2.43, \"bbox_2d\": [0.0, 186.97, 146.96, 329.51], \"bbox_3d\": [1.47, 1.57, 4.24, -7.22, 1.65, 7.56], \"ry\": 1.68}, {\"label\": \"car\", \"angle\": 1.92, \"bbox_2d\": [376.49, 182.86, 480.64, 233.73], \"bbox_3d\": [1.4, 1.68, 4.45, -5.55, 1.73, 22.49], \"ry\": 1.68}, {\"label\": \"car\", \"angle\": 1.83, \"bbox_2d\": [485.88, 181.89, 543.69, 217.36], \"bbox_3d\": [1.45, 1.62, 3.77, -4.18, 1.87, 31.92], \"ry\": 1.7}, {\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [527.93, 180.26, 568.05, 209.26], \"bbox_3d\": [1.53, 1.46, 4.18, -3.46, 1.96, 40.58], \"ry\": 1.68}, {\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [557.36, 179.24, 588.56, 203.32], \"bbox_3d\": [1.59, 1.57, 3.39, -2.53, 2.03, 49.62], \"ry\": 1.69}]\n```"
            }
        ]
    },
    {
        "id": 165,
        "data_source": "Mono3DRefer",
        "scene_name": "001435_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [526.38, 178.09, 577.87, 228.43], \"bbox_3d\": [1.65, 1.67, 3.64, -2.06, 1.85, 25.6], \"ry\": -1.69}, {\"label\": \"car\", \"angle\": 0.71, \"bbox_2d\": [1095.04, 186.97, 1242.0, 329.51], \"bbox_3d\": [1.47, 1.57, 4.24, 7.4, 1.65, 7.56], \"ry\": 1.46}, {\"label\": \"car\", \"angle\": 1.22, \"bbox_2d\": [761.36, 182.86, 865.51, 233.73], \"bbox_3d\": [1.4, 1.68, 4.45, 6.2, 1.73, 22.49], \"ry\": 1.46}, {\"label\": \"car\", \"angle\": 1.31, \"bbox_2d\": [698.31, 181.89, 756.12, 217.36], \"bbox_3d\": [1.45, 1.62, 3.77, 5.13, 1.87, 31.92], \"ry\": 1.44}, {\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [673.95, 180.26, 714.07, 209.26], \"bbox_3d\": [1.53, 1.46, 4.18, 4.68, 1.96, 40.58], \"ry\": 1.46}, {\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [653.44, 179.24, 684.64, 203.32], \"bbox_3d\": [1.59, 1.57, 3.39, 4.04, 2.03, 49.62], \"ry\": 1.45}]\n```"
            }
        ]
    },
    {
        "id": 166,
        "data_source": "Mono3DRefer",
        "scene_name": "001478",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.72, \"bbox_2d\": [712.2, 173.64, 809.45, 240.67], \"bbox_3d\": [1.38, 1.64, 3.51, 3.33, 1.42, 16.71], \"ry\": -1.53}]\n```"
            }
        ]
    },
    {
        "id": 167,
        "data_source": "Mono3DRefer",
        "scene_name": "001478_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.42, \"bbox_2d\": [432.55, 173.64, 529.8, 240.67], \"bbox_3d\": [1.38, 1.64, 3.51, -2.86, 1.42, 16.71], \"ry\": -1.61}]\n```"
            }
        ]
    },
    {
        "id": 168,
        "data_source": "Mono3DRefer",
        "scene_name": "001480",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.92, \"bbox_2d\": [338.11, 186.05, 393.26, 215.41], \"bbox_3d\": [1.48, 1.71, 3.54, -13.25, 2.22, 39.24], \"ry\": 1.6}]\n```"
            }
        ]
    },
    {
        "id": 169,
        "data_source": "Mono3DRefer",
        "scene_name": "001480_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.22, \"bbox_2d\": [848.74, 186.05, 903.89, 215.41], \"bbox_3d\": [1.48, 1.71, 3.54, 14.43, 2.22, 39.24], \"ry\": 1.54}]\n```"
            }
        ]
    },
    {
        "id": 170,
        "data_source": "Mono3DRefer",
        "scene_name": "001497",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [556.06, 185.21, 714.24, 334.53], \"bbox_3d\": [1.49, 1.6, 3.83, 0.21, 1.67, 9.3], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.06, \"bbox_2d\": [0.0, 180.02, 378.37, 374.0], \"bbox_3d\": [1.59, 1.65, 4.04, -3.32, 1.65, 5.58], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.39, \"bbox_2d\": [433.24, 179.39, 523.66, 238.47], \"bbox_3d\": [1.46, 1.73, 4.19, -3.59, 1.66, 20.16], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.72, \"bbox_2d\": [690.62, 178.33, 747.69, 216.58], \"bbox_3d\": [1.42, 1.66, 4.18, 4.31, 1.66, 29.28], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 171,
        "data_source": "Mono3DRefer",
        "scene_name": "001497_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [527.76, 185.21, 685.94, 334.53], \"bbox_3d\": [1.49, 1.6, 3.83, 0.02, 1.67, 9.3], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -2.08, \"bbox_2d\": [863.63, 180.02, 1242.0, 374.0], \"bbox_3d\": [1.59, 1.65, 4.04, 3.43, 1.65, 5.58], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.75, \"bbox_2d\": [718.34, 179.39, 808.76, 238.47], \"bbox_3d\": [1.46, 1.73, 4.19, 4.17, 1.66, 20.16], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -1.42, \"bbox_2d\": [494.31, 178.33, 551.38, 216.58], \"bbox_3d\": [1.42, 1.66, 4.18, -3.44, 1.66, 29.28], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 172,
        "data_source": "Mono3DRefer",
        "scene_name": "001502",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.56, \"bbox_2d\": [652.66, 137.25, 680.2, 164.35], \"bbox_3d\": [1.5, 1.62, 4.19, 3.46, -0.58, 45.01], \"ry\": 1.63}]\n```"
            }
        ]
    },
    {
        "id": 173,
        "data_source": "Mono3DRefer",
        "scene_name": "001502_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.58, \"bbox_2d\": [561.8, 137.25, 589.34, 164.35], \"bbox_3d\": [1.5, 1.62, 4.19, -2.09, -0.58, 45.01], \"ry\": 1.51}]\n```"
            }
        ]
    },
    {
        "id": 174,
        "data_source": "Mono3DRefer",
        "scene_name": "001555",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [379.71, 188.91, 487.14, 256.15], \"bbox_3d\": [1.38, 1.62, 4.06, -4.19, 1.8, 17.54], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.78, \"bbox_2d\": [486.66, 177.24, 537.9, 212.37], \"bbox_3d\": [1.49, 1.53, 3.88, -4.41, 1.71, 32.84], \"ry\": 1.65}, {\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [612.29, 173.8, 661.58, 223.27], \"bbox_3d\": [1.57, 1.56, 2.62, 0.86, 1.62, 24.46], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 2.09, \"bbox_2d\": [0.0, 201.34, 313.6, 374.0], \"bbox_3d\": [1.46, 1.59, 4.27, -3.96, 1.76, 5.72], \"ry\": 1.51}]\n```"
            }
        ]
    },
    {
        "id": 175,
        "data_source": "Mono3DRefer",
        "scene_name": "001555_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [754.86, 188.91, 862.29, 256.15], \"bbox_3d\": [1.38, 1.62, 4.06, 4.68, 1.8, 17.54], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.36, \"bbox_2d\": [704.1, 177.24, 755.34, 212.37], \"bbox_3d\": [1.49, 1.53, 3.88, 5.39, 1.71, 32.84], \"ry\": 1.49}, {\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [580.42, 173.8, 629.71, 223.27], \"bbox_3d\": [1.57, 1.56, 2.62, -0.15, 1.62, 24.46], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 1.05, \"bbox_2d\": [928.4, 201.34, 1242.0, 374.0], \"bbox_3d\": [1.46, 1.59, 4.27, 4.08, 1.76, 5.72], \"ry\": 1.63}]\n```"
            }
        ]
    },
    {
        "id": 176,
        "data_source": "Mono3DRefer",
        "scene_name": "001557",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.24, \"bbox_2d\": [0.0, 216.87, 331.33, 374.0], \"bbox_3d\": [1.46, 1.6, 3.33, -2.62, 1.73, 2.95], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -2.25, \"bbox_2d\": [890.89, 180.3, 1241.0, 374.0], \"bbox_3d\": [1.64, 1.7, 3.54, 2.67, 1.68, 2.99], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.89, \"bbox_2d\": [760.27, 199.31, 1029.66, 374.0], \"bbox_3d\": [1.37, 1.51, 3.39, 2.66, 1.7, 7.66], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.66, \"bbox_2d\": [514.2, 181.94, 569.91, 227.54], \"bbox_3d\": [1.55, 1.68, 4.42, -2.51, 1.91, 27.16], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.68, \"bbox_2d\": [655.69, 183.45, 697.23, 219.16], \"bbox_3d\": [1.6, 1.53, 4.18, 3.14, 2.13, 35.02], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 177,
        "data_source": "Mono3DRefer",
        "scene_name": "001557_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.9, \"bbox_2d\": [910.67, 216.87, 1242.0, 374.0], \"bbox_3d\": [1.46, 1.6, 3.33, 2.65, 1.73, 2.95], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -0.89, \"bbox_2d\": [1.0, 180.3, 351.11, 374.0], \"bbox_3d\": [1.64, 1.7, 3.54, -2.64, 1.68, 2.99], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.25, \"bbox_2d\": [212.34, 199.31, 481.73, 374.0], \"bbox_3d\": [1.37, 1.51, 3.39, -2.48, 1.7, 7.66], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.48, \"bbox_2d\": [672.09, 181.94, 727.8, 227.54], \"bbox_3d\": [1.55, 1.68, 4.42, 3.31, 1.91, 27.16], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.46, \"bbox_2d\": [544.77, 183.45, 586.31, 219.16], \"bbox_3d\": [1.6, 1.53, 4.18, -2.09, 2.13, 35.02], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 178,
        "data_source": "Mono3DRefer",
        "scene_name": "001645",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.39, \"bbox_2d\": [667.67, 175.73, 766.65, 253.18], \"bbox_3d\": [1.62, 1.58, 3.89, 2.38, 1.71, 17.18], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [460.77, 182.05, 532.37, 231.7], \"bbox_3d\": [1.45, 1.67, 4.43, -3.66, 1.77, 23.7], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [645.79, 182.91, 712.07, 231.73], \"bbox_3d\": [1.47, 1.59, 3.62, 2.17, 1.81, 23.94], \"ry\": -1.64}, {\"label\": \"car\", \"angle\": 2.0, \"bbox_2d\": [0.0, 192.85, 379.29, 374.0], \"bbox_3d\": [1.45, 1.64, 4.21, -3.6, 1.68, 6.73], \"ry\": 1.52}]\n```"
            }
        ]
    },
    {
        "id": 179,
        "data_source": "Mono3DRefer",
        "scene_name": "001645_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.75, \"bbox_2d\": [475.35, 175.73, 574.33, 253.18], \"bbox_3d\": [1.62, 1.58, 3.89, -1.9, 1.71, 17.18], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [709.63, 182.05, 781.23, 231.7], \"bbox_3d\": [1.45, 1.67, 4.43, 4.35, 1.77, 23.7], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [529.93, 182.91, 596.21, 231.73], \"bbox_3d\": [1.47, 1.59, 3.62, -1.47, 1.81, 23.94], \"ry\": -1.5}, {\"label\": \"car\", \"angle\": 1.14, \"bbox_2d\": [862.71, 192.85, 1242.0, 374.0], \"bbox_3d\": [1.45, 1.64, 4.21, 3.75, 1.68, 6.73], \"ry\": 1.62}]\n```"
            }
        ]
    },
    {
        "id": 180,
        "data_source": "Mono3DRefer",
        "scene_name": "001650",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [658.58, 188.93, 699.46, 220.61], \"bbox_3d\": [1.41, 1.58, 4.36, 3.33, 2.24, 35.82], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 181,
        "data_source": "Mono3DRefer",
        "scene_name": "001650_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [542.54, 188.93, 583.42, 220.61], \"bbox_3d\": [1.41, 1.58, 4.36, -2.26, 2.24, 35.82], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 182,
        "data_source": "Mono3DRefer",
        "scene_name": "001660",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.13, \"bbox_2d\": [99.31, 192.23, 207.39, 236.54], \"bbox_3d\": [1.67, 1.82, 4.42, -19.47, 2.55, 30.96], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.96, \"bbox_2d\": [296.23, 186.6, 353.98, 217.38], \"bbox_3d\": [1.63, 1.87, 3.47, -16.22, 2.44, 41.17], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 183,
        "data_source": "Mono3DRefer",
        "scene_name": "001660_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.01, \"bbox_2d\": [1034.61, 192.23, 1142.69, 236.54], \"bbox_3d\": [1.67, 1.82, 4.42, 20.39, 2.55, 30.96], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.18, \"bbox_2d\": [888.02, 186.6, 945.77, 217.38], \"bbox_3d\": [1.63, 1.87, 3.47, 17.46, 2.44, 41.17], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 184,
        "data_source": "Mono3DRefer",
        "scene_name": "001665",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.05, \"bbox_2d\": [0.0, 190.82, 367.85, 374.0], \"bbox_3d\": [1.63, 1.65, 3.91, -3.77, 1.84, 6.72], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.63, \"bbox_2d\": [615.94, 183.71, 672.36, 235.8], \"bbox_3d\": [1.46, 1.53, 3.17, 0.95, 1.81, 22.23], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 185,
        "data_source": "Mono3DRefer",
        "scene_name": "001665_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.09, \"bbox_2d\": [874.15, 190.82, 1242.0, 374.0], \"bbox_3d\": [1.63, 1.65, 3.91, 3.92, 1.84, 6.72], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.51, \"bbox_2d\": [569.64, 183.71, 626.06, 235.8], \"bbox_3d\": [1.46, 1.53, 3.17, -0.31, 1.81, 22.23], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 186,
        "data_source": "Mono3DRefer",
        "scene_name": "001680",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [679.85, 176.37, 727.39, 217.44], \"bbox_3d\": [1.62, 1.58, 3.89, 3.87, 1.78, 30.6], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [551.99, 179.13, 595.59, 209.17], \"bbox_3d\": [1.45, 1.67, 4.43, -1.84, 1.79, 37.4], \"ry\": 1.65}, {\"label\": \"car\", \"angle\": 1.71, \"bbox_2d\": [470.23, 177.58, 550.59, 235.61], \"bbox_3d\": [1.45, 1.64, 4.21, -2.73, 1.6, 20.34], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 187,
        "data_source": "Mono3DRefer",
        "scene_name": "001680_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [514.61, 176.37, 562.15, 217.44], \"bbox_3d\": [1.62, 1.58, 3.89, -2.96, 1.78, 30.6], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [646.41, 179.13, 690.01, 209.17], \"bbox_3d\": [1.45, 1.67, 4.43, 2.96, 1.79, 37.4], \"ry\": 1.49}, {\"label\": \"car\", \"angle\": 1.43, \"bbox_2d\": [691.41, 177.58, 771.77, 235.61], \"bbox_3d\": [1.45, 1.64, 4.21, 3.31, 1.6, 20.34], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 188,
        "data_source": "Mono3DRefer",
        "scene_name": "001684",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.1, \"bbox_2d\": [137.77, 195.23, 224.19, 232.96], \"bbox_3d\": [1.49, 1.81, 3.36, -18.91, 2.53, 31.9], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 2.64, \"bbox_2d\": [949.6, 178.63, 1008.5, 198.87], \"bbox_3d\": [1.42, 1.58, 3.48, 26.9, 1.86, 52.68], \"ry\": 3.11}]\n```"
            }
        ]
    },
    {
        "id": 189,
        "data_source": "Mono3DRefer",
        "scene_name": "001684_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.04, \"bbox_2d\": [1017.81, 195.23, 1104.23, 232.96], \"bbox_3d\": [1.49, 1.81, 3.36, 19.86, 2.53, 31.9], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 0.5, \"bbox_2d\": [233.5, 178.63, 292.4, 198.87], \"bbox_3d\": [1.42, 1.58, 3.48, -25.29, 1.86, 52.68], \"ry\": 0.03}]\n```"
            }
        ]
    },
    {
        "id": 190,
        "data_source": "Mono3DRefer",
        "scene_name": "001694",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.69, \"bbox_2d\": [473.59, 194.81, 535.33, 244.8], \"bbox_3d\": [1.5, 1.62, 4.19, -3.64, 2.32, 25.24], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 191,
        "data_source": "Mono3DRefer",
        "scene_name": "001694_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.45, \"bbox_2d\": [706.67, 194.81, 768.41, 244.8], \"bbox_3d\": [1.5, 1.62, 4.19, 4.38, 2.32, 25.24], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 192,
        "data_source": "Mono3DRefer",
        "scene_name": "001710",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.01, \"bbox_2d\": [166.29, 195.94, 447.83, 354.92], \"bbox_3d\": [1.44, 1.64, 3.78, -3.42, 1.77, 8.87], \"ry\": 1.65}, {\"label\": \"car\", \"angle\": 1.86, \"bbox_2d\": [353.92, 174.9, 517.9, 290.67], \"bbox_3d\": [1.77, 1.71, 4.28, -3.0, 1.83, 13.24], \"ry\": 1.64}, {\"label\": \"car\", \"angle\": -1.76, \"bbox_2d\": [716.04, 186.48, 799.74, 241.14], \"bbox_3d\": [1.45, 1.71, 3.93, 4.31, 1.89, 21.77], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.75, \"bbox_2d\": [489.19, 180.79, 565.62, 242.43], \"bbox_3d\": [1.73, 1.65, 3.96, -2.5, 1.99, 22.41], \"ry\": 1.64}, {\"label\": \"car\", \"angle\": -1.72, \"bbox_2d\": [695.59, 176.51, 763.35, 227.04], \"bbox_3d\": [1.78, 1.89, 4.37, 4.47, 1.94, 27.83], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.69, \"bbox_2d\": [523.61, 182.34, 574.5, 230.18], \"bbox_3d\": [1.68, 1.51, 3.29, -2.28, 2.05, 27.29], \"ry\": 1.61}]\n```"
            }
        ]
    },
    {
        "id": 193,
        "data_source": "Mono3DRefer",
        "scene_name": "001710_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.13, \"bbox_2d\": [794.17, 195.94, 1075.71, 354.92], \"bbox_3d\": [1.44, 1.64, 3.78, 3.64, 1.77, 8.87], \"ry\": 1.49}, {\"label\": \"car\", \"angle\": 1.28, \"bbox_2d\": [724.1, 174.9, 888.08, 290.67], \"bbox_3d\": [1.77, 1.71, 4.28, 3.36, 1.83, 13.24], \"ry\": 1.5}, {\"label\": \"car\", \"angle\": -1.38, \"bbox_2d\": [442.26, 186.48, 525.96, 241.14], \"bbox_3d\": [1.45, 1.71, 3.93, -3.68, 1.89, 21.77], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.39, \"bbox_2d\": [676.38, 180.79, 752.81, 242.43], \"bbox_3d\": [1.73, 1.65, 3.96, 3.15, 1.99, 22.41], \"ry\": 1.5}, {\"label\": \"car\", \"angle\": -1.42, \"bbox_2d\": [478.65, 176.51, 546.41, 227.04], \"bbox_3d\": [1.78, 1.89, 4.37, -3.65, 1.94, 27.83], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.45, \"bbox_2d\": [667.5, 182.34, 718.39, 230.18], \"bbox_3d\": [1.68, 1.51, 3.29, 3.08, 2.05, 27.29], \"ry\": 1.53}]\n```"
            }
        ]
    },
    {
        "id": 194,
        "data_source": "Mono3DRefer",
        "scene_name": "001711",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.34, \"bbox_2d\": [269.54, 179.68, 350.83, 209.43], \"bbox_3d\": [1.6, 1.66, 4.49, -17.19, 2.01, 41.55], \"ry\": 1.95}, {\"label\": \"car\", \"angle\": 2.64, \"bbox_2d\": [423.65, 172.98, 484.5, 199.29], \"bbox_3d\": [1.78, 1.67, 3.85, -11.0, 1.81, 50.91], \"ry\": 2.43}, {\"label\": \"car\", \"angle\": 2.82, \"bbox_2d\": [373.5, 176.67, 434.28, 198.24], \"bbox_3d\": [1.59, 1.76, 4.18, -15.99, 1.91, 55.96], \"ry\": 2.54}, {\"label\": \"car\", \"angle\": 3.08, \"bbox_2d\": [523.68, 170.89, 586.62, 192.1], \"bbox_3d\": [1.66, 1.57, 5.04, -4.54, 1.54, 59.24], \"ry\": 3.0}]\n```"
            }
        ]
    },
    {
        "id": 195,
        "data_source": "Mono3DRefer",
        "scene_name": "001711_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.8, \"bbox_2d\": [891.17, 179.68, 972.46, 209.43], \"bbox_3d\": [1.6, 1.66, 4.49, 18.45, 2.01, 41.55], \"ry\": 1.19}, {\"label\": \"car\", \"angle\": 0.5, \"bbox_2d\": [757.5, 172.98, 818.35, 199.29], \"bbox_3d\": [1.78, 1.67, 3.85, 12.55, 1.81, 50.91], \"ry\": 0.71}, {\"label\": \"car\", \"angle\": 0.32, \"bbox_2d\": [807.72, 176.67, 868.5, 198.24], \"bbox_3d\": [1.59, 1.76, 4.18, 17.7, 1.91, 55.96], \"ry\": 0.6}, {\"label\": \"car\", \"angle\": 0.06, \"bbox_2d\": [655.38, 170.89, 718.32, 192.1], \"bbox_3d\": [1.66, 1.57, 5.04, 6.36, 1.54, 59.24], \"ry\": 0.14}]\n```"
            }
        ]
    },
    {
        "id": 196,
        "data_source": "Mono3DRefer",
        "scene_name": "001714",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.64, \"bbox_2d\": [1087.15, 149.7, 1223.0, 188.3], \"bbox_3d\": [1.28, 1.7, 3.95, 19.7, 0.24, 25.14], \"ry\": 0.02}, {\"label\": \"car\", \"angle\": -1.24, \"bbox_2d\": [208.48, 181.03, 456.19, 329.94], \"bbox_3d\": [1.5, 1.78, 3.69, -3.25, 1.53, 9.18], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 197,
        "data_source": "Mono3DRefer",
        "scene_name": "001714_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.5, \"bbox_2d\": [1.0, 149.7, 136.85, 188.3], \"bbox_3d\": [1.28, 1.7, 3.95, -19.2, 0.24, 25.14], \"ry\": 3.12}, {\"label\": \"car\", \"angle\": -1.9, \"bbox_2d\": [767.81, 181.03, 1015.52, 329.94], \"bbox_3d\": [1.5, 1.78, 3.69, 3.39, 1.53, 9.18], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 198,
        "data_source": "Mono3DRefer",
        "scene_name": "001823",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [639.68, 167.91, 678.64, 206.95], \"bbox_3d\": [1.57, 1.56, 2.62, 2.03, 1.39, 30.65], \"ry\": -1.52}, {\"label\": \"car\", \"angle\": 1.78, \"bbox_2d\": [533.63, 173.67, 587.2, 206.02], \"bbox_3d\": [1.43, 1.68, 4.19, -2.31, 1.49, 34.2], \"ry\": 1.71}, {\"label\": \"car\", \"angle\": 1.64, \"bbox_2d\": [560.39, 170.6, 593.81, 197.88], \"bbox_3d\": [1.46, 1.59, 4.27, -1.86, 1.37, 41.18], \"ry\": 1.6}]\n```"
            }
        ]
    },
    {
        "id": 199,
        "data_source": "Mono3DRefer",
        "scene_name": "001823_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [563.36, 167.91, 602.32, 206.95], \"bbox_3d\": [1.57, 1.56, 2.62, -1.12, 1.39, 30.65], \"ry\": -1.62}, {\"label\": \"car\", \"angle\": 1.36, \"bbox_2d\": [654.8, 173.67, 708.37, 206.02], \"bbox_3d\": [1.43, 1.68, 4.19, 3.33, 1.49, 34.2], \"ry\": 1.43}, {\"label\": \"car\", \"angle\": 1.5, \"bbox_2d\": [648.19, 170.6, 681.61, 197.88], \"bbox_3d\": [1.46, 1.59, 4.27, 3.1, 1.37, 41.18], \"ry\": 1.54}]\n```"
            }
        ]
    },
    {
        "id": 200,
        "data_source": "Mono3DRefer",
        "scene_name": "001844",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.95, \"bbox_2d\": [0.0, 181.64, 160.34, 258.02], \"bbox_3d\": [1.49, 1.59, 4.11, -12.25, 1.7, 15.42], \"ry\": 2.29}, {\"label\": \"car\", \"angle\": 2.89, \"bbox_2d\": [363.79, 169.44, 527.78, 224.21], \"bbox_3d\": [1.49, 1.67, 4.5, -4.92, 1.41, 21.57], \"ry\": 2.67}, {\"label\": \"car\", \"angle\": -1.12, \"bbox_2d\": [855.55, 158.52, 1024.11, 252.24], \"bbox_3d\": [1.65, 1.67, 3.64, 6.65, 1.41, 14.5], \"ry\": -0.7}, {\"label\": \"car\", \"angle\": -0.92, \"bbox_2d\": [1226.84, 161.66, 1241.0, 221.05], \"bbox_3d\": [1.5, 1.61, 4.07, 17.97, 1.19, 18.05], \"ry\": -0.15}]\n```"
            }
        ]
    },
    {
        "id": 201,
        "data_source": "Mono3DRefer",
        "scene_name": "001844_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.19, \"bbox_2d\": [1081.66, 181.64, 1242.0, 258.02], \"bbox_3d\": [1.49, 1.59, 4.11, 12.68, 1.7, 15.42], \"ry\": 0.85}, {\"label\": \"car\", \"angle\": 0.25, \"bbox_2d\": [714.22, 169.44, 878.21, 224.21], \"bbox_3d\": [1.49, 1.67, 4.5, 5.54, 1.41, 21.57], \"ry\": 0.47}, {\"label\": \"car\", \"angle\": -2.02, \"bbox_2d\": [217.89, 158.52, 386.45, 252.24], \"bbox_3d\": [1.65, 1.67, 3.64, -6.25, 1.41, 14.5], \"ry\": -2.44}, {\"label\": \"car\", \"angle\": -2.22, \"bbox_2d\": [1.0, 161.66, 15.16, 221.05], \"bbox_3d\": [1.5, 1.61, 4.07, -17.46, 1.19, 18.05], \"ry\": -2.99}]\n```"
            }
        ]
    },
    {
        "id": 202,
        "data_source": "Mono3DRefer",
        "scene_name": "001890",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [578.45, 173.97, 608.64, 197.89], \"bbox_3d\": [1.26, 1.6, 3.56, -0.96, 1.34, 40.21], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.51, \"bbox_2d\": [542.64, 172.27, 570.09, 193.65], \"bbox_3d\": [1.37, 1.63, 3.57, -3.61, 1.36, 48.72], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 203,
        "data_source": "Mono3DRefer",
        "scene_name": "001890_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [633.36, 173.97, 663.55, 197.89], \"bbox_3d\": [1.26, 1.6, 3.56, 2.17, 1.34, 40.21], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.63, \"bbox_2d\": [671.91, 172.27, 699.36, 193.65], \"bbox_3d\": [1.37, 1.63, 3.57, 5.09, 1.36, 48.72], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 204,
        "data_source": "Mono3DRefer",
        "scene_name": "001920",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.89, \"bbox_2d\": [380.1, 181.66, 427.8, 205.98], \"bbox_3d\": [1.51, 1.86, 3.91, -13.52, 2.1, 47.47], \"ry\": 1.62}]\n```"
            }
        ]
    },
    {
        "id": 205,
        "data_source": "Mono3DRefer",
        "scene_name": "001920_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.25, \"bbox_2d\": [814.2, 181.66, 861.9, 205.98], \"bbox_3d\": [1.51, 1.86, 3.91, 14.96, 2.1, 47.47], \"ry\": 1.52}]\n```"
            }
        ]
    },
    {
        "id": 206,
        "data_source": "Mono3DRefer",
        "scene_name": "001985",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.51, \"bbox_2d\": [510.64, 187.39, 541.63, 217.02], \"bbox_3d\": [1.57, 1.55, 3.32, -4.77, 2.42, 41.07], \"ry\": -1.63}, {\"label\": \"car\", \"angle\": 1.9, \"bbox_2d\": [258.89, 194.15, 468.52, 325.41], \"bbox_3d\": [1.5, 1.7, 3.77, -3.41, 1.86, 10.62], \"ry\": 1.6}]\n```"
            }
        ]
    },
    {
        "id": 207,
        "data_source": "Mono3DRefer",
        "scene_name": "001985_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.63, \"bbox_2d\": [700.37, 187.39, 731.36, 217.02], \"bbox_3d\": [1.57, 1.55, 3.32, 6.01, 2.42, 41.07], \"ry\": -1.51}, {\"label\": \"car\", \"angle\": 1.24, \"bbox_2d\": [773.48, 194.15, 983.11, 325.41], \"bbox_3d\": [1.5, 1.7, 3.77, 3.68, 1.86, 10.62], \"ry\": 1.54}]\n```"
            }
        ]
    },
    {
        "id": 208,
        "data_source": "Mono3DRefer",
        "scene_name": "002022",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [468.35, 180.48, 548.33, 235.58], \"bbox_3d\": [1.5, 1.7, 3.77, -3.01, 1.75, 21.8], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": -1.53, \"bbox_2d\": [549.0, 171.18, 572.26, 193.77], \"bbox_3d\": [1.57, 1.55, 3.32, -3.57, 1.48, 52.32], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 209,
        "data_source": "Mono3DRefer",
        "scene_name": "002022_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [693.67, 180.48, 773.65, 235.58], \"bbox_3d\": [1.5, 1.7, 3.77, 3.64, 1.75, 21.8], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": -1.61, \"bbox_2d\": [669.74, 171.18, 693.0, 193.77], \"bbox_3d\": [1.57, 1.55, 3.32, 5.17, 1.48, 52.32], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 210,
        "data_source": "Mono3DRefer",
        "scene_name": "002103",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.07, \"bbox_2d\": [821.05, 195.57, 1241.0, 374.0], \"bbox_3d\": [1.52, 1.51, 4.28, 2.71, 1.72, 4.64], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.79, \"bbox_2d\": [369.95, 197.51, 505.92, 294.7], \"bbox_3d\": [1.42, 1.57, 4.1, -3.06, 1.94, 13.45], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.83, \"bbox_2d\": [700.29, 190.03, 911.7, 327.79], \"bbox_3d\": [1.43, 1.64, 4.14, 2.36, 1.7, 9.96], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": 1.63, \"bbox_2d\": [522.64, 185.16, 559.66, 216.34], \"bbox_3d\": [1.38, 1.53, 3.58, -3.29, 1.99, 34.58], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.63, \"bbox_2d\": [635.53, 180.24, 670.21, 208.75], \"bbox_3d\": [1.49, 1.65, 4.06, 2.31, 1.91, 40.22], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 211,
        "data_source": "Mono3DRefer",
        "scene_name": "002103_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.07, \"bbox_2d\": [1.0, 195.57, 420.95, 374.0], \"bbox_3d\": [1.52, 1.51, 4.28, -2.63, 1.72, 4.64], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.35, \"bbox_2d\": [736.08, 197.51, 872.05, 294.7], \"bbox_3d\": [1.42, 1.57, 4.1, 3.42, 1.94, 13.45], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.31, \"bbox_2d\": [330.3, 190.03, 541.71, 327.79], \"bbox_3d\": [1.43, 1.64, 4.14, -2.11, 1.7, 9.96], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": 1.51, \"bbox_2d\": [682.34, 185.16, 719.36, 216.34], \"bbox_3d\": [1.38, 1.53, 3.58, 4.32, 1.99, 34.58], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.51, \"bbox_2d\": [571.79, 180.24, 606.47, 208.75], \"bbox_3d\": [1.49, 1.65, 4.06, -1.1, 1.91, 40.22], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 212,
        "data_source": "Mono3DRefer",
        "scene_name": "002128",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.01, \"bbox_2d\": [832.14, 117.64, 1241.0, 374.0], \"bbox_3d\": [1.79, 1.72, 4.35, 3.63, 1.48, 6.52], \"ry\": 1.5}, {\"label\": \"car\", \"angle\": 2.0, \"bbox_2d\": [24.37, 202.97, 372.5, 374.0], \"bbox_3d\": [1.45, 1.49, 4.07, -3.95, 1.84, 7.7], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.77, \"bbox_2d\": [373.17, 198.63, 478.33, 268.93], \"bbox_3d\": [1.27, 1.54, 3.58, -3.98, 1.89, 15.94], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [435.33, 181.55, 509.6, 240.63], \"bbox_3d\": [1.63, 1.65, 3.91, -4.17, 1.91, 22.2], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [601.76, 180.39, 634.57, 209.79], \"bbox_3d\": [1.46, 1.53, 3.17, 0.36, 1.86, 37.84], \"ry\": -1.62}]\n```"
            }
        ]
    },
    {
        "id": 213,
        "data_source": "Mono3DRefer",
        "scene_name": "002128_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.13, \"bbox_2d\": [1.0, 117.64, 409.86, 374.0], \"bbox_3d\": [1.79, 1.72, 4.35, -3.49, 1.48, 6.52], \"ry\": 1.64}, {\"label\": \"car\", \"angle\": 1.14, \"bbox_2d\": [869.5, 202.97, 1217.63, 374.0], \"bbox_3d\": [1.45, 1.49, 4.07, 4.13, 1.84, 7.7], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.37, \"bbox_2d\": [763.67, 198.63, 868.83, 268.93], \"bbox_3d\": [1.27, 1.54, 3.58, 4.42, 1.89, 15.94], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [732.4, 181.55, 806.67, 240.63], \"bbox_3d\": [1.63, 1.65, 3.91, 4.81, 1.91, 22.2], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [607.43, 180.39, 640.24, 209.79], \"bbox_3d\": [1.46, 1.53, 3.17, 0.78, 1.86, 37.84], \"ry\": -1.52}]\n```"
            }
        ]
    },
    {
        "id": 214,
        "data_source": "Mono3DRefer",
        "scene_name": "002188",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.84, \"bbox_2d\": [382.17, 184.97, 428.36, 209.45], \"bbox_3d\": [1.55, 1.88, 4.59, -13.95, 2.4, 49.32], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 215,
        "data_source": "Mono3DRefer",
        "scene_name": "002188_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.3, \"bbox_2d\": [813.64, 184.97, 859.83, 209.45], \"bbox_3d\": [1.55, 1.88, 4.59, 15.45, 2.4, 49.32], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 216,
        "data_source": "Mono3DRefer",
        "scene_name": "002250",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.83, \"bbox_2d\": [270.37, 189.11, 449.37, 304.25], \"bbox_3d\": [1.45, 1.64, 4.21, -3.82, 1.75, 11.65], \"ry\": 1.51}, {\"label\": \"car\", \"angle\": 1.43, \"bbox_2d\": [640.73, 178.09, 710.42, 235.87], \"bbox_3d\": [1.62, 1.58, 3.89, 1.9, 1.79, 22.36], \"ry\": 1.51}, {\"label\": \"car\", \"angle\": 1.71, \"bbox_2d\": [474.77, 182.57, 532.65, 222.58], \"bbox_3d\": [1.45, 1.67, 4.43, -4.21, 1.86, 28.93], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [624.21, 183.9, 677.96, 223.45], \"bbox_3d\": [1.47, 1.59, 3.62, 1.57, 1.93, 29.21], \"ry\": -1.68}]\n```"
            }
        ]
    },
    {
        "id": 217,
        "data_source": "Mono3DRefer",
        "scene_name": "002250_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.31, \"bbox_2d\": [792.63, 189.11, 971.63, 304.25], \"bbox_3d\": [1.45, 1.64, 4.21, 4.13, 1.75, 11.65], \"ry\": 1.63}, {\"label\": \"car\", \"angle\": 1.71, \"bbox_2d\": [531.58, 178.09, 601.27, 235.87], \"bbox_3d\": [1.62, 1.58, 3.89, -1.25, 1.79, 22.36], \"ry\": 1.63}, {\"label\": \"car\", \"angle\": 1.43, \"bbox_2d\": [709.35, 182.57, 767.23, 222.58], \"bbox_3d\": [1.45, 1.67, 4.43, 5.07, 1.86, 28.93], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [564.04, 183.9, 617.79, 223.45], \"bbox_3d\": [1.47, 1.59, 3.62, -0.71, 1.93, 29.21], \"ry\": -1.46}]\n```"
            }
        ]
    },
    {
        "id": 218,
        "data_source": "Mono3DRefer",
        "scene_name": "002300",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.29, \"bbox_2d\": [0.0, 228.49, 332.57, 374.0], \"bbox_3d\": [1.42, 1.57, 4.1, -2.83, 1.8, 3.04], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.66, \"bbox_2d\": [499.5, 186.11, 555.36, 231.99], \"bbox_3d\": [1.38, 1.53, 3.58, -2.73, 1.84, 24.16], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [658.75, 182.85, 709.34, 222.44], \"bbox_3d\": [1.49, 1.65, 4.06, 2.95, 1.92, 29.78], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [550.6, 183.78, 580.17, 210.69], \"bbox_3d\": [1.48, 1.54, 4.05, -2.63, 2.15, 42.73], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 219,
        "data_source": "Mono3DRefer",
        "scene_name": "002300_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.85, \"bbox_2d\": [909.43, 228.49, 1242.0, 374.0], \"bbox_3d\": [1.42, 1.57, 4.1, 2.86, 1.8, 3.04], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.48, \"bbox_2d\": [686.64, 186.11, 742.5, 231.99], \"bbox_3d\": [1.38, 1.53, 3.58, 3.43, 1.84, 24.16], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [532.66, 182.85, 583.25, 222.44], \"bbox_3d\": [1.49, 1.65, 4.06, -2.07, 1.92, 29.78], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [661.83, 183.78, 691.4, 210.69], \"bbox_3d\": [1.48, 1.54, 4.05, 3.92, 2.15, 42.73], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 220,
        "data_source": "Mono3DRefer",
        "scene_name": "002307",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.15, \"bbox_2d\": [32.33, 190.27, 188.01, 255.47], \"bbox_3d\": [1.6, 1.78, 3.86, -13.97, 2.12, 20.39], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 2.19, \"bbox_2d\": [9.76, 187.56, 152.75, 245.44], \"bbox_3d\": [1.65, 1.77, 3.85, -16.84, 2.15, 23.17], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.92, \"bbox_2d\": [343.44, 182.73, 397.83, 211.18], \"bbox_3d\": [1.58, 1.82, 3.87, -14.15, 2.18, 42.77], \"ry\": 1.61}]\n```"
            }
        ]
    },
    {
        "id": 221,
        "data_source": "Mono3DRefer",
        "scene_name": "002307_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.99, \"bbox_2d\": [1053.99, 190.27, 1209.67, 255.47], \"bbox_3d\": [1.6, 1.78, 3.86, 14.55, 2.12, 20.39], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 0.95, \"bbox_2d\": [1089.25, 187.56, 1232.24, 245.44], \"bbox_3d\": [1.65, 1.77, 3.85, 17.51, 2.15, 23.17], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.22, \"bbox_2d\": [844.17, 182.73, 898.56, 211.18], \"bbox_3d\": [1.58, 1.82, 3.87, 15.44, 2.18, 42.77], \"ry\": 1.53}]\n```"
            }
        ]
    },
    {
        "id": 222,
        "data_source": "Mono3DRefer",
        "scene_name": "002376",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.95, \"bbox_2d\": [140.71, 196.21, 438.29, 357.05], \"bbox_3d\": [1.43, 1.75, 4.47, -3.66, 1.78, 9.16], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.66, \"bbox_2d\": [514.2, 176.37, 552.44, 207.45], \"bbox_3d\": [1.39, 1.48, 3.76, -3.65, 1.57, 34.47], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 223,
        "data_source": "Mono3DRefer",
        "scene_name": "002376_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.19, \"bbox_2d\": [803.71, 196.21, 1101.29, 357.05], \"bbox_3d\": [1.43, 1.75, 4.47, 3.89, 1.78, 9.16], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.48, \"bbox_2d\": [689.56, 176.37, 727.8, 207.45], \"bbox_3d\": [1.39, 1.48, 3.76, 4.68, 1.57, 34.47], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 224,
        "data_source": "Mono3DRefer",
        "scene_name": "002383",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.44, \"bbox_2d\": [0.0, 212.46, 179.01, 374.0], \"bbox_3d\": [1.42, 1.64, 3.63, -3.38, 1.64, 2.43], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.36, \"bbox_2d\": [694.54, 174.98, 839.7, 272.43], \"bbox_3d\": [1.42, 1.6, 3.78, 2.5, 1.48, 12.53], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 2.4, \"bbox_2d\": [613.94, 165.07, 744.15, 218.6], \"bbox_3d\": [1.57, 1.65, 4.1, 2.23, 1.35, 23.11], \"ry\": 2.49}]\n```"
            }
        ]
    },
    {
        "id": 225,
        "data_source": "Mono3DRefer",
        "scene_name": "002383_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.7, \"bbox_2d\": [1062.99, 212.46, 1242.0, 374.0], \"bbox_3d\": [1.42, 1.64, 3.63, 3.39, 1.64, 2.43], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.78, \"bbox_2d\": [402.3, 174.98, 547.46, 272.43], \"bbox_3d\": [1.42, 1.6, 3.78, -2.16, 1.48, 12.53], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 0.74, \"bbox_2d\": [497.85, 165.07, 628.06, 218.6], \"bbox_3d\": [1.57, 1.65, 4.1, -1.56, 1.35, 23.11], \"ry\": 0.65}]\n```"
            }
        ]
    },
    {
        "id": 226,
        "data_source": "Mono3DRefer",
        "scene_name": "002391",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.82, \"bbox_2d\": [410.87, 181.16, 443.68, 199.56], \"bbox_3d\": [1.49, 1.76, 4.01, -15.48, 2.2, 61.24], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 227,
        "data_source": "Mono3DRefer",
        "scene_name": "002391_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.32, \"bbox_2d\": [798.32, 181.16, 831.13, 199.56], \"bbox_3d\": [1.49, 1.76, 4.01, 17.36, 2.2, 61.24], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 228,
        "data_source": "Mono3DRefer",
        "scene_name": "002439",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.95, \"bbox_2d\": [765.63, 177.16, 1038.86, 346.85], \"bbox_3d\": [1.72, 1.67, 4.42, 3.45, 1.8, 9.64], \"ry\": -1.62}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [436.02, 194.91, 545.34, 283.1], \"bbox_3d\": [1.44, 1.56, 3.84, -2.29, 1.93, 14.45], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [540.7, 186.53, 579.23, 224.85], \"bbox_3d\": [1.5, 1.55, 4.21, -2.19, 2.12, 31.38], \"ry\": -1.63}, {\"label\": \"car\", \"angle\": -1.69, \"bbox_2d\": [656.8, 181.12, 705.51, 226.01], \"bbox_3d\": [1.82, 1.65, 3.67, 3.0, 2.19, 31.39], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 229,
        "data_source": "Mono3DRefer",
        "scene_name": "002439_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.19, \"bbox_2d\": [203.14, 177.16, 476.37, 346.85], \"bbox_3d\": [1.72, 1.67, 4.42, -3.21, 1.8, 9.64], \"ry\": -1.52}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [696.66, 194.91, 805.98, 283.1], \"bbox_3d\": [1.44, 1.56, 3.84, 2.69, 1.93, 14.45], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [662.77, 186.53, 701.3, 224.85], \"bbox_3d\": [1.5, 1.55, 4.21, 3.12, 2.12, 31.38], \"ry\": -1.51}, {\"label\": \"car\", \"angle\": -1.45, \"bbox_2d\": [536.49, 181.12, 585.2, 226.01], \"bbox_3d\": [1.82, 1.65, 3.67, -2.07, 2.19, 31.39], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 230,
        "data_source": "Mono3DRefer",
        "scene_name": "002463",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [426.51, 181.06, 466.85, 211.13], \"bbox_3d\": [1.45, 1.62, 3.83, -8.4, 1.88, 37.21], \"ry\": 1.46}]\n```"
            }
        ]
    },
    {
        "id": 231,
        "data_source": "Mono3DRefer",
        "scene_name": "002463_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [775.15, 181.06, 815.49, 211.13], \"bbox_3d\": [1.45, 1.62, 3.83, 9.52, 1.88, 37.21], \"ry\": 1.68}]\n```"
            }
        ]
    },
    {
        "id": 232,
        "data_source": "Mono3DRefer",
        "scene_name": "002483",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.97, \"bbox_2d\": [256.16, 184.28, 342.73, 222.81], \"bbox_3d\": [1.55, 1.88, 4.59, -13.71, 2.08, 32.09], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 233,
        "data_source": "Mono3DRefer",
        "scene_name": "002483_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.17, \"bbox_2d\": [899.27, 184.28, 985.84, 222.81], \"bbox_3d\": [1.55, 1.88, 4.59, 14.67, 2.08, 32.09], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 234,
        "data_source": "Mono3DRefer",
        "scene_name": "002504",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [650.03, 185.32, 680.23, 209.31], \"bbox_3d\": [1.41, 1.58, 4.36, 3.44, 2.23, 45.94], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 235,
        "data_source": "Mono3DRefer",
        "scene_name": "002504_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [561.77, 185.32, 591.97, 209.31], \"bbox_3d\": [1.41, 1.58, 4.36, -2.05, 2.23, 45.94], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 236,
        "data_source": "Mono3DRefer",
        "scene_name": "002539",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.84, \"bbox_2d\": [345.58, 194.87, 482.45, 286.72], \"bbox_3d\": [1.39, 1.52, 3.56, -3.52, 1.85, 13.39], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.62, \"bbox_2d\": [520.41, 185.71, 551.09, 209.51], \"bbox_3d\": [1.34, 1.64, 4.57, -4.56, 2.16, 44.56], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": 2.97, \"bbox_2d\": [406.13, 183.69, 496.17, 216.39], \"bbox_3d\": [1.52, 1.41, 4.22, -7.99, 2.09, 36.18], \"ry\": 2.75}]\n```"
            }
        ]
    },
    {
        "id": 237,
        "data_source": "Mono3DRefer",
        "scene_name": "002539_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.3, \"bbox_2d\": [759.55, 194.87, 896.42, 286.72], \"bbox_3d\": [1.39, 1.52, 3.56, 3.88, 1.85, 13.39], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.52, \"bbox_2d\": [690.91, 185.71, 721.59, 209.51], \"bbox_3d\": [1.34, 1.64, 4.57, 5.91, 2.16, 44.56], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": 0.17, \"bbox_2d\": [745.83, 183.69, 835.87, 216.39], \"bbox_3d\": [1.52, 1.41, 4.22, 9.08, 2.09, 36.18], \"ry\": 0.39}]\n```"
            }
        ]
    },
    {
        "id": 238,
        "data_source": "Mono3DRefer",
        "scene_name": "002570",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.32, \"bbox_2d\": [715.75, 186.07, 906.67, 308.38], \"bbox_3d\": [1.42, 1.59, 4.19, 2.68, 1.64, 10.76], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.83, \"bbox_2d\": [303.44, 189.46, 472.58, 299.96], \"bbox_3d\": [1.42, 1.64, 3.63, -3.37, 1.71, 11.5], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [680.08, 182.76, 775.08, 250.5], \"bbox_3d\": [1.38, 1.58, 3.66, 2.58, 1.62, 16.8], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.45, \"bbox_2d\": [664.21, 176.49, 734.41, 229.1], \"bbox_3d\": [1.42, 1.6, 3.78, 2.54, 1.55, 21.56], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 2.86, \"bbox_2d\": [738.78, 167.3, 834.02, 201.96], \"bbox_3d\": [1.57, 1.65, 4.1, 8.36, 1.34, 34.51], \"ry\": 3.09}]\n```"
            }
        ]
    },
    {
        "id": 239,
        "data_source": "Mono3DRefer",
        "scene_name": "002570_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.82, \"bbox_2d\": [335.33, 186.07, 526.25, 308.38], \"bbox_3d\": [1.42, 1.59, 4.19, -2.4, 1.64, 10.76], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.31, \"bbox_2d\": [769.42, 189.46, 938.56, 299.96], \"bbox_3d\": [1.42, 1.64, 3.63, 3.67, 1.71, 11.5], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [466.92, 182.76, 561.92, 250.5], \"bbox_3d\": [1.38, 1.58, 3.66, -2.11, 1.62, 16.8], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.69, \"bbox_2d\": [507.59, 176.49, 577.79, 229.1], \"bbox_3d\": [1.42, 1.6, 3.78, -1.92, 1.55, 21.56], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 0.28, \"bbox_2d\": [407.98, 167.3, 503.22, 201.96], \"bbox_3d\": [1.57, 1.65, 4.1, -7.33, 1.34, 34.51], \"ry\": 0.05}]\n```"
            }
        ]
    },
    {
        "id": 240,
        "data_source": "Mono3DRefer",
        "scene_name": "002612",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [356.88, 172.66, 503.34, 285.23], \"bbox_3d\": [1.7, 1.63, 4.08, -3.09, 1.73, 13.05], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.92, \"bbox_2d\": [778.12, 204.57, 1185.49, 374.0], \"bbox_3d\": [1.37, 1.59, 3.22, 2.4, 1.68, 5.63], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [466.63, 183.81, 546.19, 237.95], \"bbox_3d\": [1.4, 1.67, 3.72, -2.95, 1.74, 21.0], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 1.52, \"bbox_2d\": [633.23, 178.83, 668.19, 209.0], \"bbox_3d\": [1.49, 1.61, 3.74, 2.06, 1.81, 37.81], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -2.35, \"bbox_2d\": [0.0, 170.9, 136.74, 363.94], \"bbox_3d\": [1.59, 1.63, 4.43, -7.23, 1.61, 6.74], \"ry\": 3.13}]\n```"
            }
        ]
    },
    {
        "id": 241,
        "data_source": "Mono3DRefer",
        "scene_name": "002612_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [738.66, 172.66, 885.12, 285.23], \"bbox_3d\": [1.7, 1.63, 4.08, 3.44, 1.73, 13.05], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.22, \"bbox_2d\": [56.51, 204.57, 463.88, 374.0], \"bbox_3d\": [1.37, 1.59, 3.22, -2.28, 1.68, 5.63], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [695.81, 183.81, 775.37, 237.95], \"bbox_3d\": [1.4, 1.67, 3.72, 3.55, 1.74, 21.0], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 1.62, \"bbox_2d\": [573.81, 178.83, 608.77, 209.0], \"bbox_3d\": [1.49, 1.61, 3.74, -0.92, 1.81, 37.81], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -0.79, \"bbox_2d\": [1105.26, 170.9, 1242.0, 363.94], \"bbox_3d\": [1.59, 1.63, 4.43, 7.38, 1.61, 6.74], \"ry\": 0.01}]\n```"
            }
        ]
    },
    {
        "id": 242,
        "data_source": "Mono3DRefer",
        "scene_name": "002695",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.65, \"bbox_2d\": [656.36, 188.82, 690.58, 215.86], \"bbox_3d\": [1.41, 1.58, 4.36, 3.58, 2.36, 41.57], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 243,
        "data_source": "Mono3DRefer",
        "scene_name": "002695_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.49, \"bbox_2d\": [551.42, 188.82, 585.64, 215.86], \"bbox_3d\": [1.41, 1.58, 4.36, -2.32, 2.36, 41.57], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 244,
        "data_source": "Mono3DRefer",
        "scene_name": "002729",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.9, \"bbox_2d\": [863.21, 198.84, 1241.0, 374.0], \"bbox_3d\": [1.42, 1.59, 4.19, 2.64, 1.59, 3.15], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 2.24, \"bbox_2d\": [0.0, 204.73, 282.94, 374.0], \"bbox_3d\": [1.42, 1.64, 3.63, -3.38, 1.66, 3.79], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.84, \"bbox_2d\": [727.72, 186.09, 949.14, 328.03], \"bbox_3d\": [1.38, 1.58, 3.66, 2.54, 1.57, 9.06], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [684.69, 176.59, 811.91, 264.29], \"bbox_3d\": [1.42, 1.6, 3.78, 2.42, 1.51, 13.71], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 2.44, \"bbox_2d\": [634.27, 164.74, 756.83, 213.74], \"bbox_3d\": [1.57, 1.65, 4.1, 2.97, 1.32, 24.99], \"ry\": 2.56}]\n```"
            }
        ]
    },
    {
        "id": 245,
        "data_source": "Mono3DRefer",
        "scene_name": "002729_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.24, \"bbox_2d\": [1.0, 198.84, 378.79, 374.0], \"bbox_3d\": [1.42, 1.59, 4.19, -2.6, 1.59, 3.15], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 0.9, \"bbox_2d\": [959.06, 204.73, 1242.0, 374.0], \"bbox_3d\": [1.42, 1.64, 3.63, 3.44, 1.66, 3.79], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.3, \"bbox_2d\": [292.86, 186.09, 514.28, 328.03], \"bbox_3d\": [1.38, 1.58, 3.66, -2.31, 1.57, 9.06], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [430.09, 176.59, 557.31, 264.29], \"bbox_3d\": [1.42, 1.6, 3.78, -2.05, 1.51, 13.71], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 0.7, \"bbox_2d\": [485.17, 164.74, 607.73, 213.74], \"bbox_3d\": [1.57, 1.65, 4.1, -2.24, 1.32, 24.99], \"ry\": 0.58}]\n```"
            }
        ]
    },
    {
        "id": 246,
        "data_source": "Mono3DRefer",
        "scene_name": "002801",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.69, \"bbox_2d\": [172.01, 174.55, 333.15, 241.48], \"bbox_3d\": [1.61, 1.57, 3.35, -9.14, 1.68, 18.53], \"ry\": 3.14}, {\"label\": \"car\", \"angle\": 1.35, \"bbox_2d\": [678.59, 160.55, 738.72, 203.48], \"bbox_3d\": [1.79, 1.72, 4.35, 4.33, 1.3, 32.51], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": 1.6, \"bbox_2d\": [518.07, 176.3, 553.04, 209.84], \"bbox_3d\": [1.45, 1.49, 4.07, -3.44, 1.63, 33.54], \"ry\": 1.5}]\n```"
            }
        ]
    },
    {
        "id": 247,
        "data_source": "Mono3DRefer",
        "scene_name": "002801_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.45, \"bbox_2d\": [908.85, 174.55, 1069.99, 241.48], \"bbox_3d\": [1.61, 1.57, 3.35, 9.67, 1.68, 18.53], \"ry\": 0.0}, {\"label\": \"car\", \"angle\": 1.79, \"bbox_2d\": [503.28, 160.55, 563.41, 203.48], \"bbox_3d\": [1.79, 1.72, 4.35, -3.36, 1.3, 32.51], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": 1.54, \"bbox_2d\": [688.96, 176.3, 723.93, 209.84], \"bbox_3d\": [1.45, 1.49, 4.07, 4.44, 1.63, 33.54], \"ry\": 1.64}]\n```"
            }
        ]
    },
    {
        "id": 248,
        "data_source": "Mono3DRefer",
        "scene_name": "002845",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.9, \"bbox_2d\": [280.4, 180.57, 439.0, 233.86], \"bbox_3d\": [1.47, 1.53, 4.21, -7.4, 1.73, 21.51], \"ry\": 3.05}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [646.57, 170.1, 739.13, 242.43], \"bbox_3d\": [1.64, 1.62, 4.2, 1.98, 1.61, 18.7], \"ry\": -1.64}, {\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [406.69, 185.51, 511.92, 262.12], \"bbox_3d\": [1.35, 1.47, 3.43, -3.02, 1.64, 14.85], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -2.42, \"bbox_2d\": [0.0, 196.1, 117.46, 374.0], \"bbox_3d\": [1.48, 1.61, 4.24, -6.84, 1.72, 5.94], \"ry\": 3.03}]\n```"
            }
        ]
    },
    {
        "id": 249,
        "data_source": "Mono3DRefer",
        "scene_name": "002845_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.24, \"bbox_2d\": [803.0, 180.57, 961.6, 233.86], \"bbox_3d\": [1.47, 1.53, 4.21, 8.02, 1.73, 21.51], \"ry\": 0.09}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [502.87, 170.1, 595.43, 242.43], \"bbox_3d\": [1.64, 1.62, 4.2, -1.45, 1.61, 18.7], \"ry\": -1.5}, {\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [730.08, 185.51, 835.31, 262.12], \"bbox_3d\": [1.35, 1.47, 3.43, 3.43, 1.64, 14.85], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -0.72, \"bbox_2d\": [1124.54, 196.1, 1242.0, 374.0], \"bbox_3d\": [1.48, 1.61, 4.24, 6.97, 1.72, 5.94], \"ry\": 0.11}]\n```"
            }
        ]
    },
    {
        "id": 250,
        "data_source": "Mono3DRefer",
        "scene_name": "002880",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.31, \"bbox_2d\": [657.76, 158.09, 771.68, 239.17], \"bbox_3d\": [1.79, 1.72, 4.35, 2.45, 1.49, 18.27], \"ry\": 1.44}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [360.99, 183.93, 445.78, 248.48], \"bbox_3d\": [1.45, 1.49, 4.07, -5.26, 1.75, 18.64], \"ry\": 1.44}, {\"label\": \"car\", \"angle\": 1.69, \"bbox_2d\": [422.72, 187.11, 476.84, 225.16], \"bbox_3d\": [1.27, 1.54, 3.58, -5.92, 1.82, 26.81], \"ry\": 1.47}]\n```"
            }
        ]
    },
    {
        "id": 251,
        "data_source": "Mono3DRefer",
        "scene_name": "002880_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.83, \"bbox_2d\": [470.32, 158.09, 584.24, 239.17], \"bbox_3d\": [1.79, 1.72, 4.35, -1.93, 1.49, 18.27], \"ry\": 1.7}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [796.22, 183.93, 881.01, 248.48], \"bbox_3d\": [1.45, 1.49, 4.07, 5.79, 1.75, 18.64], \"ry\": 1.7}, {\"label\": \"car\", \"angle\": 1.45, \"bbox_2d\": [765.16, 187.11, 819.28, 225.16], \"bbox_3d\": [1.27, 1.54, 3.58, 6.71, 1.82, 26.81], \"ry\": 1.67}]\n```"
            }
        ]
    },
    {
        "id": 252,
        "data_source": "Mono3DRefer",
        "scene_name": "002934",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.2, \"bbox_2d\": [561.6, 203.48, 971.86, 374.0], \"bbox_3d\": [1.47, 1.58, 3.55, 0.98, 1.79, 6.31], \"ry\": -2.06}, {\"label\": \"car\", \"angle\": -1.94, \"bbox_2d\": [441.91, 206.76, 664.11, 341.33], \"bbox_3d\": [1.37, 1.7, 4.38, -1.13, 1.96, 10.59], \"ry\": -2.04}, {\"label\": \"car\", \"angle\": -1.84, \"bbox_2d\": [380.52, 207.76, 513.09, 299.07], \"bbox_3d\": [1.4, 1.56, 3.91, -3.43, 2.18, 14.4], \"ry\": -2.07}, {\"label\": \"car\", \"angle\": -1.75, \"bbox_2d\": [327.73, 202.99, 419.48, 275.44], \"bbox_3d\": [1.6, 1.65, 3.77, -6.41, 2.46, 19.2], \"ry\": -2.07}, {\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [74.4, 206.66, 155.8, 275.49], \"bbox_3d\": [1.86, 1.63, 4.2, -15.96, 3.03, 23.38], \"ry\": 1.1}, {\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [0.0, 225.49, 101.75, 325.2], \"bbox_3d\": [1.45, 1.46, 3.41, -10.74, 2.56, 13.67], \"ry\": 1.04}, {\"label\": \"car\", \"angle\": -1.72, \"bbox_2d\": [279.22, 212.44, 337.09, 252.93], \"bbox_3d\": [1.37, 1.61, 4.26, -12.66, 3.11, 30.05], \"ry\": -2.11}, {\"label\": \"car\", \"angle\": 1.6, \"bbox_2d\": [146.76, 215.15, 180.62, 245.84], \"bbox_3d\": [1.51, 1.55, 3.92, -26.11, 4.09, 42.23], \"ry\": 1.05}]\n```"
            }
        ]
    },
    {
        "id": 253,
        "data_source": "Mono3DRefer",
        "scene_name": "002934_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.94, \"bbox_2d\": [270.14, 203.48, 680.4, 374.0], \"bbox_3d\": [1.47, 1.58, 3.55, -0.84, 1.79, 6.31], \"ry\": -1.08}, {\"label\": \"car\", \"angle\": -1.2, \"bbox_2d\": [577.89, 206.76, 800.09, 341.33], \"bbox_3d\": [1.37, 1.7, 4.38, 1.4, 1.96, 10.59], \"ry\": -1.1}, {\"label\": \"car\", \"angle\": -1.3, \"bbox_2d\": [728.91, 207.76, 861.48, 299.07], \"bbox_3d\": [1.4, 1.56, 3.91, 3.82, 2.18, 14.4], \"ry\": -1.07}, {\"label\": \"car\", \"angle\": -1.39, \"bbox_2d\": [822.52, 202.99, 914.27, 275.44], \"bbox_3d\": [1.6, 1.65, 3.77, 6.96, 2.46, 19.2], \"ry\": -1.07}, {\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [1086.2, 206.66, 1167.6, 275.49], \"bbox_3d\": [1.86, 1.63, 4.2, 16.64, 3.03, 23.38], \"ry\": 2.04}, {\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [1140.25, 225.49, 1242.0, 325.2], \"bbox_3d\": [1.45, 1.46, 3.41, 11.11, 2.56, 13.67], \"ry\": 2.1}, {\"label\": \"car\", \"angle\": -1.42, \"bbox_2d\": [904.91, 212.44, 962.78, 252.93], \"bbox_3d\": [1.37, 1.61, 4.26, 13.55, 3.11, 30.05], \"ry\": -1.03}, {\"label\": \"car\", \"angle\": 1.54, \"bbox_2d\": [1061.38, 215.15, 1095.24, 245.84], \"bbox_3d\": [1.51, 1.55, 3.92, 27.39, 4.09, 42.23], \"ry\": 2.09}]\n```"
            }
        ]
    },
    {
        "id": 254,
        "data_source": "Mono3DRefer",
        "scene_name": "002995",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.66, \"bbox_2d\": [657.89, 186.38, 693.7, 214.16], \"bbox_3d\": [1.41, 1.58, 4.36, 3.58, 2.19, 40.14], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 255,
        "data_source": "Mono3DRefer",
        "scene_name": "002995_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.48, \"bbox_2d\": [548.3, 186.38, 584.11, 214.16], \"bbox_3d\": [1.41, 1.58, 4.36, -2.37, 2.19, 40.14], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 256,
        "data_source": "Mono3DRefer",
        "scene_name": "002997",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.75, \"bbox_2d\": [416.21, 173.88, 505.19, 236.61], \"bbox_3d\": [1.5, 1.62, 4.19, -3.96, 1.56, 19.57], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 257,
        "data_source": "Mono3DRefer",
        "scene_name": "002997_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.39, \"bbox_2d\": [736.81, 173.88, 825.79, 236.61], \"bbox_3d\": [1.5, 1.62, 4.19, 4.52, 1.56, 19.57], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 258,
        "data_source": "Mono3DRefer",
        "scene_name": "003038",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [617.46, 177.22, 654.92, 202.78], \"bbox_3d\": [1.5, 1.7, 3.77, 1.64, 1.79, 44.67], \"ry\": 1.77}]\n```"
            }
        ]
    },
    {
        "id": 259,
        "data_source": "Mono3DRefer",
        "scene_name": "003038_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [587.08, 177.22, 624.54, 202.78], \"bbox_3d\": [1.5, 1.7, 3.77, -0.29, 1.79, 44.67], \"ry\": 1.37}]\n```"
            }
        ]
    },
    {
        "id": 260,
        "data_source": "Mono3DRefer",
        "scene_name": "003182",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [617.05, 175.01, 694.65, 245.43], \"bbox_3d\": [1.46, 1.53, 3.17, 0.94, 1.53, 16.71], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 261,
        "data_source": "Mono3DRefer",
        "scene_name": "003182_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [547.35, 175.01, 624.95, 245.43], \"bbox_3d\": [1.46, 1.53, 3.17, -0.47, 1.53, 16.71], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 262,
        "data_source": "Mono3DRefer",
        "scene_name": "003292",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.59, \"bbox_2d\": [567.1, 209.92, 599.86, 243.88], \"bbox_3d\": [1.5, 1.62, 4.19, -1.39, 3.55, 38.04], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 263,
        "data_source": "Mono3DRefer",
        "scene_name": "003292_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.55, \"bbox_2d\": [642.14, 209.92, 674.9, 243.88], \"bbox_3d\": [1.5, 1.62, 4.19, 2.53, 3.55, 38.04], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 264,
        "data_source": "Mono3DRefer",
        "scene_name": "003312",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.92, \"bbox_2d\": [66.92, 188.35, 459.16, 374.0], \"bbox_3d\": [1.55, 1.68, 4.42, -2.76, 1.73, 6.87], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.79, \"bbox_2d\": [692.48, 177.75, 819.99, 272.66], \"bbox_3d\": [1.6, 1.53, 4.18, 2.69, 1.71, 14.37], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": -1.76, \"bbox_2d\": [663.4, 177.64, 748.0, 240.79], \"bbox_3d\": [1.56, 1.57, 3.98, 2.51, 1.71, 20.09], \"ry\": -1.63}, {\"label\": \"car\", \"angle\": 1.41, \"bbox_2d\": [662.04, 168.89, 693.11, 193.11], \"bbox_3d\": [1.79, 1.72, 4.35, 5.18, 1.53, 55.96], \"ry\": 1.51}]\n```"
            }
        ]
    },
    {
        "id": 265,
        "data_source": "Mono3DRefer",
        "scene_name": "003312_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.22, \"bbox_2d\": [782.84, 188.35, 1175.08, 374.0], \"bbox_3d\": [1.55, 1.68, 4.42, 2.92, 1.73, 6.87], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.35, \"bbox_2d\": [422.01, 177.75, 549.52, 272.66], \"bbox_3d\": [1.6, 1.53, 4.18, -2.3, 1.71, 14.37], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": -1.38, \"bbox_2d\": [494.0, 177.64, 578.6, 240.79], \"bbox_3d\": [1.56, 1.57, 3.98, -1.94, 1.71, 20.09], \"ry\": -1.51}, {\"label\": \"car\", \"angle\": 1.73, \"bbox_2d\": [548.89, 168.89, 579.96, 193.11], \"bbox_3d\": [1.79, 1.72, 4.35, -3.47, 1.53, 55.96], \"ry\": 1.63}]\n```"
            }
        ]
    },
    {
        "id": 266,
        "data_source": "Mono3DRefer",
        "scene_name": "003448",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.71, \"bbox_2d\": [649.78, 177.1, 723.97, 229.65], \"bbox_3d\": [1.41, 1.58, 4.36, 2.17, 1.56, 21.77], \"ry\": -1.61}]\n```"
            }
        ]
    },
    {
        "id": 267,
        "data_source": "Mono3DRefer",
        "scene_name": "003448_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.43, \"bbox_2d\": [518.03, 177.1, 592.22, 229.65], \"bbox_3d\": [1.41, 1.58, 4.36, -1.54, 1.56, 21.77], \"ry\": -1.53}]\n```"
            }
        ]
    },
    {
        "id": 268,
        "data_source": "Mono3DRefer",
        "scene_name": "003467",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.99, \"bbox_2d\": [766.92, 192.71, 1125.01, 374.0], \"bbox_3d\": [1.52, 1.54, 4.5, 3.06, 1.78, 7.82], \"ry\": -1.63}]\n```"
            }
        ]
    },
    {
        "id": 269,
        "data_source": "Mono3DRefer",
        "scene_name": "003467_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.15, \"bbox_2d\": [116.99, 192.71, 475.08, 374.0], \"bbox_3d\": [1.52, 1.54, 4.5, -2.87, 1.78, 7.82], \"ry\": -1.51}]\n```"
            }
        ]
    },
    {
        "id": 270,
        "data_source": "Mono3DRefer",
        "scene_name": "003497",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.23, \"bbox_2d\": [118.6, 189.39, 450.21, 373.07], \"bbox_3d\": [1.33, 1.71, 4.09, -3.0, 1.54, 7.57], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [651.6, 165.38, 727.66, 221.36], \"bbox_3d\": [1.49, 1.56, 4.34, 2.23, 1.32, 21.6], \"ry\": -1.62}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [412.17, 173.05, 512.7, 245.39], \"bbox_3d\": [1.42, 1.53, 4.12, -3.26, 1.46, 16.44], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.85, \"bbox_2d\": [718.48, 160.48, 947.51, 322.2], \"bbox_3d\": [1.59, 1.59, 3.89, 2.48, 1.5, 9.15], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.54, \"bbox_2d\": [625.54, 165.3, 658.7, 192.76], \"bbox_3d\": [1.38, 1.64, 3.51, 1.72, 1.02, 38.34], \"ry\": -1.49}]\n```"
            }
        ]
    },
    {
        "id": 271,
        "data_source": "Mono3DRefer",
        "scene_name": "003497_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.91, \"bbox_2d\": [791.79, 189.39, 1123.4, 373.07], \"bbox_3d\": [1.33, 1.71, 4.09, 3.18, 1.54, 7.57], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [514.34, 165.38, 590.4, 221.36], \"bbox_3d\": [1.49, 1.56, 4.34, -1.61, 1.32, 21.6], \"ry\": -1.52}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [729.3, 173.05, 829.83, 245.39], \"bbox_3d\": [1.42, 1.53, 4.12, 3.72, 1.46, 16.44], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.29, \"bbox_2d\": [294.49, 160.48, 523.52, 322.2], \"bbox_3d\": [1.59, 1.59, 3.89, -2.25, 1.5, 9.15], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.6, \"bbox_2d\": [583.3, 165.3, 616.46, 192.76], \"bbox_3d\": [1.38, 1.64, 3.51, -0.57, 1.02, 38.34], \"ry\": -1.65}]\n```"
            }
        ]
    },
    {
        "id": 272,
        "data_source": "Mono3DRefer",
        "scene_name": "003515",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.28, \"bbox_2d\": [729.74, 190.9, 974.9, 345.3], \"bbox_3d\": [1.42, 1.59, 4.19, 2.66, 1.68, 9.09], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.87, \"bbox_2d\": [240.78, 193.77, 452.53, 328.55], \"bbox_3d\": [1.42, 1.64, 3.63, -3.39, 1.75, 9.87], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [685.29, 186.42, 793.21, 263.37], \"bbox_3d\": [1.38, 1.58, 3.66, 2.54, 1.69, 15.18], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [666.01, 181.88, 743.2, 239.38], \"bbox_3d\": [1.42, 1.6, 3.78, 2.48, 1.68, 19.99], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 2.82, \"bbox_2d\": [719.74, 174.46, 819.62, 211.09], \"bbox_3d\": [1.57, 1.65, 4.1, 7.19, 1.67, 32.81], \"ry\": 3.04}]\n```"
            }
        ]
    },
    {
        "id": 273,
        "data_source": "Mono3DRefer",
        "scene_name": "003515_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.86, \"bbox_2d\": [267.1, 190.9, 512.26, 345.3], \"bbox_3d\": [1.42, 1.59, 4.19, -2.43, 1.68, 9.09], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.27, \"bbox_2d\": [789.47, 193.77, 1001.22, 328.55], \"bbox_3d\": [1.42, 1.64, 3.63, 3.64, 1.75, 9.87], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [448.79, 186.42, 556.71, 263.37], \"bbox_3d\": [1.38, 1.58, 3.66, -2.12, 1.69, 15.18], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [498.8, 181.88, 575.99, 239.38], \"bbox_3d\": [1.42, 1.6, 3.78, -1.91, 1.68, 19.99], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 0.32, \"bbox_2d\": [422.38, 174.46, 522.26, 211.09], \"bbox_3d\": [1.57, 1.65, 4.1, -6.21, 1.67, 32.81], \"ry\": 0.1}]\n```"
            }
        ]
    },
    {
        "id": 274,
        "data_source": "Mono3DRefer",
        "scene_name": "003547",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.73, \"bbox_2d\": [400.21, 180.07, 502.06, 251.89], \"bbox_3d\": [1.45, 1.64, 4.21, -3.61, 1.63, 16.88], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [652.02, 174.34, 704.76, 220.65], \"bbox_3d\": [1.62, 1.58, 3.89, 2.49, 1.7, 27.37], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [509.12, 176.97, 559.17, 210.35], \"bbox_3d\": [1.45, 1.67, 4.43, -3.52, 1.66, 33.91], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": -1.7, \"bbox_2d\": [637.55, 179.61, 681.33, 212.65], \"bbox_3d\": [1.47, 1.59, 3.62, 2.26, 1.8, 34.26], \"ry\": -1.64}]\n```"
            }
        ]
    },
    {
        "id": 275,
        "data_source": "Mono3DRefer",
        "scene_name": "003547_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.41, \"bbox_2d\": [739.94, 180.07, 841.79, 251.89], \"bbox_3d\": [1.45, 1.64, 4.21, 4.08, 1.63, 16.88], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [537.24, 174.34, 589.98, 220.65], \"bbox_3d\": [1.62, 1.58, 3.89, -1.68, 1.7, 27.37], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [682.83, 176.97, 732.88, 210.35], \"bbox_3d\": [1.45, 1.67, 4.43, 4.53, 1.66, 33.91], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": -1.44, \"bbox_2d\": [560.67, 179.61, 604.45, 212.65], \"bbox_3d\": [1.47, 1.59, 3.62, -1.24, 1.8, 34.26], \"ry\": -1.5}]\n```"
            }
        ]
    },
    {
        "id": 276,
        "data_source": "Mono3DRefer",
        "scene_name": "003557",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.86, \"bbox_2d\": [323.73, 189.18, 489.78, 295.41], \"bbox_3d\": [1.5, 1.7, 3.77, -3.36, 1.82, 12.51], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [519.05, 181.46, 548.37, 209.25], \"bbox_3d\": [1.57, 1.55, 3.32, -4.53, 2.09, 42.95], \"ry\": -1.62}]\n```"
            }
        ]
    },
    {
        "id": 277,
        "data_source": "Mono3DRefer",
        "scene_name": "003557_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.28, \"bbox_2d\": [752.22, 189.18, 918.27, 295.41], \"bbox_3d\": [1.5, 1.7, 3.77, 3.69, 1.82, 12.51], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [693.63, 181.46, 722.95, 209.25], \"bbox_3d\": [1.57, 1.55, 3.32, 5.83, 2.09, 42.95], \"ry\": -1.52}]\n```"
            }
        ]
    },
    {
        "id": 278,
        "data_source": "Mono3DRefer",
        "scene_name": "003559",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.84, \"bbox_2d\": [732.94, 190.43, 890.37, 293.89], \"bbox_3d\": [1.52, 1.54, 4.5, 3.46, 1.89, 13.42], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 279,
        "data_source": "Mono3DRefer",
        "scene_name": "003559_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.3, \"bbox_2d\": [351.63, 190.43, 509.06, 293.89], \"bbox_3d\": [1.52, 1.54, 4.5, -3.1, 1.89, 13.42], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 280,
        "data_source": "Mono3DRefer",
        "scene_name": "003580",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [595.11, 176.85, 625.96, 207.33], \"bbox_3d\": [1.65, 1.67, 3.64, 0.04, 1.9, 41.26], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 281,
        "data_source": "Mono3DRefer",
        "scene_name": "003580_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [616.04, 176.85, 646.89, 207.33], \"bbox_3d\": [1.65, 1.67, 3.64, 1.21, 1.9, 41.26], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 282,
        "data_source": "Mono3DRefer",
        "scene_name": "003676",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.81, \"bbox_2d\": [714.3, 162.18, 909.82, 308.1], \"bbox_3d\": [1.76, 1.71, 4.35, 2.73, 1.66, 10.96], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -2.29, \"bbox_2d\": [0.0, 188.68, 94.92, 374.0], \"bbox_3d\": [1.52, 1.58, 3.61, -6.45, 1.67, 5.67], \"ry\": -3.11}, {\"label\": \"car\", \"angle\": 0.63, \"bbox_2d\": [0.0, 186.31, 276.54, 342.57], \"bbox_3d\": [1.52, 1.71, 4.49, -6.41, 1.7, 8.02], \"ry\": -0.03}, {\"label\": \"car\", \"angle\": -2.54, \"bbox_2d\": [1.2, 186.38, 331.52, 299.9], \"bbox_3d\": [1.49, 1.61, 3.87, -6.35, 1.71, 10.49], \"ry\": -3.08}, {\"label\": \"car\", \"angle\": -2.66, \"bbox_2d\": [125.69, 180.49, 362.97, 271.0], \"bbox_3d\": [1.5, 1.58, 3.47, -6.51, 1.66, 12.99], \"ry\": -3.12}, {\"label\": \"car\", \"angle\": 0.37, \"bbox_2d\": [234.39, 161.45, 448.69, 247.86], \"bbox_3d\": [1.95, 1.64, 4.57, -6.42, 1.72, 17.44], \"ry\": 0.02}, {\"label\": \"car\", \"angle\": -2.74, \"bbox_2d\": [213.62, 175.9, 402.61, 260.79], \"bbox_3d\": [1.66, 1.58, 3.31, -6.3, 1.75, 15.2], \"ry\": -3.13}, {\"label\": \"car\", \"angle\": -1.79, \"bbox_2d\": [687.53, 181.7, 794.37, 253.53], \"bbox_3d\": [1.44, 1.66, 3.25, 2.8, 1.65, 16.32], \"ry\": -1.62}, {\"label\": \"car\", \"angle\": -2.82, \"bbox_2d\": [289.41, 164.47, 439.0, 237.28], \"bbox_3d\": [1.87, 1.61, 3.53, -6.67, 1.68, 19.71], \"ry\": 3.14}, {\"label\": \"car\", \"angle\": -2.84, \"bbox_2d\": [338.93, 172.46, 480.28, 225.99], \"bbox_3d\": [1.72, 1.65, 4.33, -6.78, 1.74, 24.55], \"ry\": -3.11}, {\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [645.53, 177.2, 687.67, 210.36], \"bbox_3d\": [1.45, 1.59, 3.59, 2.57, 1.67, 33.79], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.69, \"bbox_2d\": [669.88, 177.14, 742.34, 233.52], \"bbox_3d\": [1.54, 1.67, 3.72, 2.77, 1.69, 21.78], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 283,
        "data_source": "Mono3DRefer",
        "scene_name": "003676_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.33, \"bbox_2d\": [332.18, 162.18, 527.7, 308.1], \"bbox_3d\": [1.76, 1.71, 4.35, -2.44, 1.66, 10.96], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -0.85, \"bbox_2d\": [1147.08, 188.68, 1242.0, 374.0], \"bbox_3d\": [1.52, 1.58, 3.61, 6.57, 1.67, 5.67], \"ry\": -0.03}, {\"label\": \"car\", \"angle\": 2.51, \"bbox_2d\": [965.46, 186.31, 1242.0, 342.57], \"bbox_3d\": [1.52, 1.71, 4.49, 6.6, 1.7, 8.02], \"ry\": -3.11}, {\"label\": \"car\", \"angle\": -0.6, \"bbox_2d\": [910.48, 186.38, 1240.8, 299.9], \"bbox_3d\": [1.49, 1.61, 3.87, 6.62, 1.71, 10.49], \"ry\": -0.06}, {\"label\": \"car\", \"angle\": -0.48, \"bbox_2d\": [879.03, 180.49, 1116.31, 271.0], \"bbox_3d\": [1.5, 1.58, 3.47, 6.86, 1.66, 12.99], \"ry\": -0.02}, {\"label\": \"car\", \"angle\": 2.77, \"bbox_2d\": [793.31, 161.45, 1007.61, 247.86], \"bbox_3d\": [1.95, 1.64, 4.57, 6.91, 1.72, 17.44], \"ry\": 3.12}, {\"label\": \"car\", \"angle\": -0.4, \"bbox_2d\": [839.39, 175.9, 1028.38, 260.79], \"bbox_3d\": [1.66, 1.58, 3.31, 6.72, 1.75, 15.2], \"ry\": -0.01}, {\"label\": \"car\", \"angle\": -1.35, \"bbox_2d\": [447.63, 181.7, 554.47, 253.53], \"bbox_3d\": [1.44, 1.66, 3.25, -2.34, 1.65, 16.32], \"ry\": -1.52}, {\"label\": \"car\", \"angle\": -0.32, \"bbox_2d\": [803.0, 164.47, 952.59, 237.28], \"bbox_3d\": [1.87, 1.61, 3.53, 7.23, 1.68, 19.71], \"ry\": 0.0}, {\"label\": \"car\", \"angle\": -0.3, \"bbox_2d\": [761.72, 172.46, 903.07, 225.99], \"bbox_3d\": [1.72, 1.65, 4.33, 7.5, 1.74, 24.55], \"ry\": -0.03}, {\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [554.33, 177.2, 596.47, 210.36], \"bbox_3d\": [1.45, 1.59, 3.59, -1.56, 1.67, 33.79], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.45, \"bbox_2d\": [499.66, 177.14, 572.12, 233.52], \"bbox_3d\": [1.54, 1.67, 3.72, -2.14, 1.69, 21.78], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 284,
        "data_source": "Mono3DRefer",
        "scene_name": "003678",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.87, \"bbox_2d\": [398.57, 180.33, 440.98, 202.57], \"bbox_3d\": [1.51, 1.86, 3.91, -13.54, 2.05, 51.49], \"ry\": 1.61}]\n```"
            }
        ]
    },
    {
        "id": 285,
        "data_source": "Mono3DRefer",
        "scene_name": "003678_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.27, \"bbox_2d\": [801.02, 180.33, 843.43, 202.57], \"bbox_3d\": [1.51, 1.86, 3.91, 15.11, 2.05, 51.49], \"ry\": 1.53}]\n```"
            }
        ]
    },
    {
        "id": 286,
        "data_source": "Mono3DRefer",
        "scene_name": "003755",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.18, \"bbox_2d\": [799.28, 180.38, 1208.74, 374.0], \"bbox_3d\": [1.62, 1.58, 3.89, 2.93, 1.69, 6.45], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.81, \"bbox_2d\": [366.23, 183.41, 520.27, 281.22], \"bbox_3d\": [1.45, 1.67, 4.43, -2.86, 1.66, 13.16], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.81, \"bbox_2d\": [711.13, 188.15, 850.2, 283.91], \"bbox_3d\": [1.47, 1.59, 3.62, 2.93, 1.78, 13.3], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [444.4, 179.6, 534.79, 244.71], \"bbox_3d\": [1.56, 1.68, 3.69, -3.14, 1.75, 19.27], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.43, \"bbox_2d\": [681.24, 184.3, 771.63, 249.19], \"bbox_3d\": [1.44, 1.64, 4.5, 2.84, 1.76, 18.75], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.66, \"bbox_2d\": [513.41, 179.28, 560.12, 219.73], \"bbox_3d\": [1.46, 1.51, 3.24, -2.82, 1.72, 27.93], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.49, \"bbox_2d\": [667.17, 180.6, 710.56, 213.25], \"bbox_3d\": [1.38, 1.59, 4.19, 3.5, 1.74, 32.91], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [653.08, 176.19, 677.12, 197.77], \"bbox_3d\": [1.51, 1.56, 3.81, 3.99, 1.77, 52.86], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 287,
        "data_source": "Mono3DRefer",
        "scene_name": "003755_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.96, \"bbox_2d\": [33.26, 180.38, 442.72, 374.0], \"bbox_3d\": [1.62, 1.58, 3.89, -2.79, 1.69, 6.45], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.33, \"bbox_2d\": [721.73, 183.41, 875.77, 281.22], \"bbox_3d\": [1.45, 1.67, 4.43, 3.22, 1.66, 13.16], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.33, \"bbox_2d\": [391.8, 188.15, 530.87, 283.91], \"bbox_3d\": [1.47, 1.59, 3.62, -2.57, 1.78, 13.3], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [707.21, 179.6, 797.6, 244.71], \"bbox_3d\": [1.56, 1.68, 3.69, 3.69, 1.75, 19.27], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.71, \"bbox_2d\": [470.37, 184.3, 560.76, 249.19], \"bbox_3d\": [1.44, 1.64, 4.5, -2.31, 1.76, 18.75], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.48, \"bbox_2d\": [681.88, 179.28, 728.59, 219.73], \"bbox_3d\": [1.46, 1.51, 3.24, 3.64, 1.72, 27.93], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.65, \"bbox_2d\": [531.44, 180.6, 574.83, 213.25], \"bbox_3d\": [1.38, 1.59, 4.19, -2.52, 1.74, 32.91], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [564.88, 176.19, 588.92, 197.77], \"bbox_3d\": [1.51, 1.56, 3.81, -2.38, 1.77, 52.86], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 288,
        "data_source": "Mono3DRefer",
        "scene_name": "003828",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [479.72, 179.88, 553.52, 230.17], \"bbox_3d\": [1.5, 1.7, 3.77, -3.01, 1.74, 23.66], \"ry\": 1.63}, {\"label\": \"car\", \"angle\": -1.53, \"bbox_2d\": [551.12, 170.76, 573.57, 192.55], \"bbox_3d\": [1.57, 1.55, 3.32, -3.57, 1.44, 54.18], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 289,
        "data_source": "Mono3DRefer",
        "scene_name": "003828_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [688.48, 179.88, 762.28, 230.17], \"bbox_3d\": [1.5, 1.7, 3.77, 3.7, 1.74, 23.66], \"ry\": 1.51}, {\"label\": \"car\", \"angle\": -1.61, \"bbox_2d\": [668.43, 170.76, 690.88, 192.55], \"bbox_3d\": [1.57, 1.55, 3.32, 5.23, 1.44, 54.18], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 290,
        "data_source": "Mono3DRefer",
        "scene_name": "003938",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [513.73, 165.3, 581.96, 220.82], \"bbox_3d\": [1.73, 1.65, 3.96, -2.07, 1.52, 24.61], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": -1.7, \"bbox_2d\": [702.76, 160.38, 763.97, 206.98], \"bbox_3d\": [1.78, 1.89, 4.37, 5.0, 1.33, 29.98], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 1.69, \"bbox_2d\": [544.22, 164.96, 590.86, 208.65], \"bbox_3d\": [1.68, 1.51, 3.29, -1.72, 1.4, 29.57], \"ry\": 1.63}, {\"label\": \"car\", \"angle\": 1.94, \"bbox_2d\": [284.44, 179.15, 486.25, 293.3], \"bbox_3d\": [1.44, 1.64, 3.78, -3.24, 1.55, 11.06], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": 1.84, \"bbox_2d\": [406.29, 160.46, 541.26, 257.34], \"bbox_3d\": [1.77, 1.71, 4.28, -2.76, 1.58, 15.41], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [719.98, 169.87, 793.95, 218.15], \"bbox_3d\": [1.45, 1.71, 3.93, 4.72, 1.39, 23.87], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 291,
        "data_source": "Mono3DRefer",
        "scene_name": "003938_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [660.04, 165.3, 728.27, 220.82], \"bbox_3d\": [1.73, 1.65, 3.96, 2.79, 1.52, 24.61], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": -1.44, \"bbox_2d\": [478.03, 160.38, 539.24, 206.98], \"bbox_3d\": [1.78, 1.89, 4.37, -4.11, 1.33, 29.98], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 1.45, \"bbox_2d\": [651.14, 164.96, 697.78, 208.65], \"bbox_3d\": [1.68, 1.51, 3.29, 2.6, 1.4, 29.57], \"ry\": 1.51}, {\"label\": \"car\", \"angle\": 1.2, \"bbox_2d\": [755.75, 179.15, 957.56, 293.3], \"bbox_3d\": [1.44, 1.64, 3.78, 3.53, 1.55, 11.06], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": 1.3, \"bbox_2d\": [700.74, 160.46, 835.71, 257.34], \"bbox_3d\": [1.77, 1.71, 4.28, 3.19, 1.58, 15.41], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [448.05, 169.87, 522.02, 218.15], \"bbox_3d\": [1.45, 1.71, 3.93, -4.03, 1.39, 23.87], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 292,
        "data_source": "Mono3DRefer",
        "scene_name": "004026",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 3.1, \"bbox_2d\": [647.94, 172.91, 703.37, 193.79], \"bbox_3d\": [1.48, 1.72, 3.99, 4.79, 1.51, 53.27], \"ry\": -3.09}, {\"label\": \"car\", \"angle\": -0.17, \"bbox_2d\": [670.89, 171.95, 775.38, 207.48], \"bbox_3d\": [1.45, 1.6, 4.23, 4.8, 1.44, 31.19], \"ry\": -0.02}]\n```"
            }
        ]
    },
    {
        "id": 293,
        "data_source": "Mono3DRefer",
        "scene_name": "004026_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.04, \"bbox_2d\": [538.63, 172.91, 594.06, 193.79], \"bbox_3d\": [1.48, 1.72, 3.99, -3.16, 1.51, 53.27], \"ry\": -0.05}, {\"label\": \"car\", \"angle\": -2.97, \"bbox_2d\": [466.62, 171.95, 571.11, 207.48], \"bbox_3d\": [1.45, 1.6, 4.23, -3.87, 1.44, 31.19], \"ry\": -3.12}]\n```"
            }
        ]
    },
    {
        "id": 294,
        "data_source": "Mono3DRefer",
        "scene_name": "004110",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.77, \"bbox_2d\": [18.47, 196.21, 100.12, 248.87], \"bbox_3d\": [1.52, 1.51, 3.1, -17.8, 2.3, 23.23], \"ry\": -2.42}, {\"label\": \"car\", \"angle\": -1.81, \"bbox_2d\": [60.49, 196.51, 175.09, 264.92], \"bbox_3d\": [1.57, 1.72, 3.52, -13.07, 2.22, 19.03], \"ry\": -2.4}]\n```"
            }
        ]
    },
    {
        "id": 295,
        "data_source": "Mono3DRefer",
        "scene_name": "004110_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.37, \"bbox_2d\": [1141.88, 196.21, 1223.53, 248.87], \"bbox_3d\": [1.52, 1.51, 3.1, 18.47, 2.3, 23.23], \"ry\": -0.72}, {\"label\": \"car\", \"angle\": -1.33, \"bbox_2d\": [1066.91, 196.51, 1181.51, 264.92], \"bbox_3d\": [1.57, 1.72, 3.52, 13.61, 2.22, 19.03], \"ry\": -0.74}]\n```"
            }
        ]
    },
    {
        "id": 296,
        "data_source": "Mono3DRefer",
        "scene_name": "004130",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.71, \"bbox_2d\": [471.54, 182.9, 544.13, 233.55], \"bbox_3d\": [1.46, 1.75, 4.23, -3.25, 1.8, 23.41], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 297,
        "data_source": "Mono3DRefer",
        "scene_name": "004130_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.43, \"bbox_2d\": [697.87, 182.9, 770.46, 233.55], \"bbox_3d\": [1.46, 1.75, 4.23, 3.93, 1.8, 23.41], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 298,
        "data_source": "Mono3DRefer",
        "scene_name": "004162",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.85, \"bbox_2d\": [283.51, 182.01, 462.22, 306.8], \"bbox_3d\": [1.46, 1.51, 3.24, -3.2, 1.6, 10.2], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [706.97, 187.43, 828.96, 268.62], \"bbox_3d\": [1.38, 1.59, 4.19, 3.03, 1.71, 14.83], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.71, \"bbox_2d\": [427.84, 180.91, 523.52, 246.65], \"bbox_3d\": [1.38, 1.69, 3.74, -3.12, 1.58, 17.21], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [658.2, 179.15, 696.68, 212.23], \"bbox_3d\": [1.51, 1.56, 3.81, 3.2, 1.83, 35.15], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 299,
        "data_source": "Mono3DRefer",
        "scene_name": "004162_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.29, \"bbox_2d\": [779.78, 182.01, 958.49, 306.8], \"bbox_3d\": [1.46, 1.51, 3.24, 3.46, 1.6, 10.2], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [413.04, 187.43, 535.03, 268.62], \"bbox_3d\": [1.38, 1.59, 4.19, -2.62, 1.71, 14.83], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.43, \"bbox_2d\": [718.48, 180.91, 814.16, 246.65], \"bbox_3d\": [1.38, 1.69, 3.74, 3.6, 1.58, 17.21], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [545.32, 179.15, 583.8, 212.23], \"bbox_3d\": [1.51, 1.56, 3.81, -2.15, 1.83, 35.15], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 300,
        "data_source": "Mono3DRefer",
        "scene_name": "004168",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.63, \"bbox_2d\": [340.46, 186.53, 376.54, 215.47], \"bbox_3d\": [1.45, 1.62, 3.83, -13.66, 2.22, 39.24], \"ry\": 1.3}]\n```"
            }
        ]
    },
    {
        "id": 301,
        "data_source": "Mono3DRefer",
        "scene_name": "004168_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.51, \"bbox_2d\": [865.46, 186.53, 901.54, 215.47], \"bbox_3d\": [1.45, 1.62, 3.83, 14.84, 2.22, 39.24], \"ry\": 1.84}]\n```"
            }
        ]
    },
    {
        "id": 302,
        "data_source": "Mono3DRefer",
        "scene_name": "004224",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.63, \"bbox_2d\": [683.1, 134.2, 713.11, 161.33], \"bbox_3d\": [1.5, 1.62, 4.19, 5.57, -0.79, 45.45], \"ry\": 1.75}]\n```"
            }
        ]
    },
    {
        "id": 303,
        "data_source": "Mono3DRefer",
        "scene_name": "004224_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.51, \"bbox_2d\": [528.89, 134.2, 558.9, 161.33], \"bbox_3d\": [1.5, 1.62, 4.19, -4.19, -0.79, 45.45], \"ry\": 1.39}]\n```"
            }
        ]
    },
    {
        "id": 304,
        "data_source": "Mono3DRefer",
        "scene_name": "004249",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.69, \"bbox_2d\": [459.05, 177.76, 535.16, 231.17], \"bbox_3d\": [1.38, 1.69, 3.74, -3.18, 1.53, 20.73], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.63, \"bbox_2d\": [653.31, 176.93, 687.39, 206.82], \"bbox_3d\": [1.51, 1.56, 3.81, 3.16, 1.74, 38.69], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": 2.14, \"bbox_2d\": [0.0, 174.16, 360.61, 374.0], \"bbox_3d\": [1.56, 1.68, 3.69, -3.29, 1.59, 5.02], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.06, \"bbox_2d\": [813.61, 207.59, 1241.0, 374.0], \"bbox_3d\": [1.44, 1.64, 4.5, 2.7, 1.75, 4.51], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.79, \"bbox_2d\": [373.3, 180.32, 493.13, 268.38], \"bbox_3d\": [1.46, 1.51, 3.24, -3.27, 1.61, 13.71], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [689.02, 184.57, 779.58, 247.17], \"bbox_3d\": [1.38, 1.59, 4.19, 3.0, 1.7, 18.43], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 305,
        "data_source": "Mono3DRefer",
        "scene_name": "004249_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.45, \"bbox_2d\": [706.84, 177.76, 782.95, 231.17], \"bbox_3d\": [1.38, 1.69, 3.74, 3.78, 1.53, 20.73], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.51, \"bbox_2d\": [554.61, 176.93, 588.69, 206.82], \"bbox_3d\": [1.51, 1.56, 3.81, -2.0, 1.74, 38.69], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": 1.0, \"bbox_2d\": [881.39, 174.16, 1242.0, 374.0], \"bbox_3d\": [1.56, 1.68, 3.69, 3.39, 1.59, 5.02], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 2.08, \"bbox_2d\": [1.0, 207.59, 428.39, 374.0], \"bbox_3d\": [1.44, 1.64, 4.5, -2.62, 1.75, 4.51], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.35, \"bbox_2d\": [748.87, 180.32, 868.7, 268.38], \"bbox_3d\": [1.46, 1.51, 3.24, 3.64, 1.61, 13.71], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [462.42, 184.57, 552.98, 247.17], \"bbox_3d\": [1.38, 1.59, 4.19, -2.48, 1.7, 18.43], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 306,
        "data_source": "Mono3DRefer",
        "scene_name": "004271",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.87, \"bbox_2d\": [972.23, 146.54, 1237.0, 257.82], \"bbox_3d\": [1.85, 1.84, 4.69, 9.56, 1.24, 13.44], \"ry\": -0.27}]\n```"
            }
        ]
    },
    {
        "id": 307,
        "data_source": "Mono3DRefer",
        "scene_name": "004271_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.27, \"bbox_2d\": [1.0, 146.54, 265.77, 257.82], \"bbox_3d\": [1.85, 1.84, 4.69, -8.93, 1.24, 13.44], \"ry\": -2.87}]\n```"
            }
        ]
    },
    {
        "id": 308,
        "data_source": "Mono3DRefer",
        "scene_name": "004318",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.68, \"bbox_2d\": [582.06, 162.75, 624.76, 195.76], \"bbox_3d\": [1.6, 1.76, 3.84, -0.3, 0.5, 37.11], \"ry\": -1.69}, {\"label\": \"car\", \"angle\": -1.63, \"bbox_2d\": [512.45, 167.86, 549.61, 198.63], \"bbox_3d\": [1.39, 1.56, 3.45, -3.75, 0.59, 34.46], \"ry\": -1.73}, {\"label\": \"car\", \"angle\": -1.61, \"bbox_2d\": [506.04, 166.04, 534.2, 188.83], \"bbox_3d\": [1.41, 1.66, 3.76, -5.76, 0.21, 46.82], \"ry\": -1.73}]\n```"
            }
        ]
    },
    {
        "id": 309,
        "data_source": "Mono3DRefer",
        "scene_name": "004318_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.46, \"bbox_2d\": [616.24, 162.75, 658.94, 195.76], \"bbox_3d\": [1.6, 1.76, 3.84, 1.61, 0.5, 37.11], \"ry\": -1.45}, {\"label\": \"car\", \"angle\": -1.51, \"bbox_2d\": [691.39, 167.86, 728.55, 198.63], \"bbox_3d\": [1.39, 1.56, 3.45, 4.96, 0.59, 34.46], \"ry\": -1.41}, {\"label\": \"car\", \"angle\": -1.53, \"bbox_2d\": [706.8, 166.04, 734.96, 188.83], \"bbox_3d\": [1.41, 1.66, 3.76, 7.43, 0.21, 46.82], \"ry\": -1.41}]\n```"
            }
        ]
    },
    {
        "id": 310,
        "data_source": "Mono3DRefer",
        "scene_name": "004363",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.73, \"bbox_2d\": [0.0, 147.01, 237.97, 374.0], \"bbox_3d\": [2.01, 1.89, 4.91, -5.82, 1.81, 8.78], \"ry\": 1.16}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [230.8, 189.13, 288.38, 239.9], \"bbox_3d\": [1.65, 1.67, 3.81, -12.68, 2.26, 26.2], \"ry\": -1.97}, {\"label\": \"car\", \"angle\": -1.75, \"bbox_2d\": [425.23, 187.73, 485.52, 235.94], \"bbox_3d\": [1.52, 1.51, 3.1, -5.46, 2.06, 25.08], \"ry\": -1.96}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [404.94, 186.69, 458.83, 227.86], \"bbox_3d\": [1.53, 1.58, 3.53, -7.32, 2.11, 29.3], \"ry\": -1.97}, {\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [388.11, 187.5, 418.66, 214.8], \"bbox_3d\": [1.46, 1.6, 3.71, -12.01, 2.33, 41.72], \"ry\": -1.87}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [451.29, 184.71, 539.95, 251.44], \"bbox_3d\": [1.57, 1.72, 3.52, -3.17, 1.9, 19.18], \"ry\": -1.9}]\n```"
            }
        ]
    },
    {
        "id": 311,
        "data_source": "Mono3DRefer",
        "scene_name": "004363_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.41, \"bbox_2d\": [1004.03, 147.01, 1242.0, 374.0], \"bbox_3d\": [2.01, 1.89, 4.91, 6.04, 1.81, 8.78], \"ry\": 1.98}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [953.62, 189.13, 1011.2, 239.9], \"bbox_3d\": [1.65, 1.67, 3.81, 13.45, 2.26, 26.2], \"ry\": -1.17}, {\"label\": \"car\", \"angle\": -1.39, \"bbox_2d\": [756.48, 187.73, 816.77, 235.94], \"bbox_3d\": [1.52, 1.51, 3.1, 6.19, 2.06, 25.08], \"ry\": -1.18}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [783.17, 186.69, 837.06, 227.86], \"bbox_3d\": [1.53, 1.58, 3.53, 8.19, 2.11, 29.3], \"ry\": -1.17}, {\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [823.34, 187.5, 853.89, 214.8], \"bbox_3d\": [1.46, 1.6, 3.71, 13.27, 2.33, 41.72], \"ry\": -1.27}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [702.05, 184.71, 790.71, 251.44], \"bbox_3d\": [1.57, 1.72, 3.52, 3.72, 1.9, 19.18], \"ry\": -1.24}]\n```"
            }
        ]
    },
    {
        "id": 312,
        "data_source": "Mono3DRefer",
        "scene_name": "004424",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [1130.66, 164.15, 1241.0, 239.65], \"bbox_3d\": [1.5, 1.8, 4.5, 13.29, 1.34, 16.46], \"ry\": -1.07}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [1085.66, 156.37, 1155.81, 212.65], \"bbox_3d\": [1.83, 1.75, 4.52, 18.1, 1.31, 25.77], \"ry\": -1.01}, {\"label\": \"car\", \"angle\": -2.2, \"bbox_2d\": [136.27, 217.04, 447.47, 374.0], \"bbox_3d\": [1.47, 1.58, 3.55, -3.87, 2.06, 8.57], \"ry\": -2.62}, {\"label\": \"car\", \"angle\": -1.49, \"bbox_2d\": [859.1, 175.56, 971.64, 269.45], \"bbox_3d\": [1.6, 1.75, 3.89, 6.16, 1.67, 14.41], \"ry\": -1.09}, {\"label\": \"car\", \"angle\": -1.93, \"bbox_2d\": [1181.26, 159.17, 1241.0, 265.35], \"bbox_3d\": [1.59, 1.64, 4.03, 10.32, 1.38, 10.88], \"ry\": -1.18}, {\"label\": \"car\", \"angle\": -2.0, \"bbox_2d\": [0.0, 231.26, 237.69, 356.87], \"bbox_3d\": [1.37, 1.7, 4.38, -7.88, 2.39, 11.07], \"ry\": -2.6}]\n```"
            }
        ]
    },
    {
        "id": 313,
        "data_source": "Mono3DRefer",
        "scene_name": "004424_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [1.0, 164.15, 111.34, 239.65], \"bbox_3d\": [1.5, 1.8, 4.5, -12.83, 1.34, 16.46], \"ry\": -2.07}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [86.19, 156.37, 156.34, 212.65], \"bbox_3d\": [1.83, 1.75, 4.52, -17.34, 1.31, 25.77], \"ry\": -2.13}, {\"label\": \"car\", \"angle\": -0.94, \"bbox_2d\": [794.53, 217.04, 1105.73, 374.0], \"bbox_3d\": [1.47, 1.58, 3.55, 4.08, 2.06, 8.57], \"ry\": -0.52}, {\"label\": \"car\", \"angle\": -1.65, \"bbox_2d\": [270.36, 175.56, 382.9, 269.45], \"bbox_3d\": [1.6, 1.75, 3.89, -5.77, 1.67, 14.41], \"ry\": -2.05}, {\"label\": \"car\", \"angle\": -1.21, \"bbox_2d\": [1.0, 159.17, 60.74, 265.35], \"bbox_3d\": [1.59, 1.64, 4.03, -10.04, 1.38, 10.88], \"ry\": -1.96}, {\"label\": \"car\", \"angle\": -1.14, \"bbox_2d\": [1004.31, 231.26, 1242.0, 356.87], \"bbox_3d\": [1.37, 1.7, 4.38, 8.17, 2.39, 11.07], \"ry\": -0.54}]\n```"
            }
        ]
    },
    {
        "id": 314,
        "data_source": "Mono3DRefer",
        "scene_name": "004438",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [485.9, 190.27, 542.82, 236.61], \"bbox_3d\": [1.5, 1.62, 4.19, -3.49, 2.18, 26.64], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 315,
        "data_source": "Mono3DRefer",
        "scene_name": "004438_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [699.18, 190.27, 756.1, 236.61], \"bbox_3d\": [1.5, 1.62, 4.19, 4.27, 2.18, 26.64], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 316,
        "data_source": "Mono3DRefer",
        "scene_name": "004474",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [311.18, 178.27, 456.34, 277.28], \"bbox_3d\": [1.57, 1.67, 4.14, -3.95, 1.52, 13.62], \"ry\": 1.52}]\n```"
            }
        ]
    },
    {
        "id": 317,
        "data_source": "Mono3DRefer",
        "scene_name": "004474_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [781.66, 178.27, 926.82, 277.28], \"bbox_3d\": [1.57, 1.67, 4.14, 4.59, 1.52, 13.62], \"ry\": 1.62}]\n```"
            }
        ]
    },
    {
        "id": 318,
        "data_source": "Mono3DRefer",
        "scene_name": "004491",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.64, \"bbox_2d\": [589.83, 174.64, 628.98, 205.98], \"bbox_3d\": [1.46, 1.63, 4.47, -0.0, 1.58, 36.31], \"ry\": 1.64}, {\"label\": \"car\", \"angle\": -2.94, \"bbox_2d\": [390.82, 175.37, 531.61, 223.27], \"bbox_3d\": [1.47, 1.68, 4.26, -4.84, 1.58, 23.65], \"ry\": -3.14}, {\"label\": \"car\", \"angle\": 1.29, \"bbox_2d\": [763.9, 186.85, 1007.53, 348.14], \"bbox_3d\": [1.49, 1.61, 3.74, 2.97, 1.68, 8.71], \"ry\": 1.61}]\n```"
            }
        ]
    },
    {
        "id": 319,
        "data_source": "Mono3DRefer",
        "scene_name": "004491_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.5, \"bbox_2d\": [613.02, 174.64, 652.17, 205.98], \"bbox_3d\": [1.46, 1.63, 4.47, 1.09, 1.58, 36.31], \"ry\": 1.5}, {\"label\": \"car\", \"angle\": -0.2, \"bbox_2d\": [710.39, 175.37, 851.18, 223.27], \"bbox_3d\": [1.47, 1.68, 4.26, 5.53, 1.58, 23.65], \"ry\": -0.0}, {\"label\": \"car\", \"angle\": 1.85, \"bbox_2d\": [234.47, 186.85, 478.1, 348.14], \"bbox_3d\": [1.49, 1.61, 3.74, -2.76, 1.68, 8.71], \"ry\": 1.53}]\n```"
            }
        ]
    },
    {
        "id": 320,
        "data_source": "Mono3DRefer",
        "scene_name": "004608",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.6, \"bbox_2d\": [557.99, 208.54, 592.22, 243.48], \"bbox_3d\": [1.5, 1.62, 4.19, -1.76, 3.42, 36.86], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 321,
        "data_source": "Mono3DRefer",
        "scene_name": "004608_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.54, \"bbox_2d\": [649.78, 208.54, 684.01, 243.48], \"bbox_3d\": [1.5, 1.62, 4.19, 2.87, 3.42, 36.86], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 322,
        "data_source": "Mono3DRefer",
        "scene_name": "004638",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.92, \"bbox_2d\": [279.14, 171.22, 340.31, 198.09], \"bbox_3d\": [1.34, 1.73, 3.98, -16.0, 1.29, 38.57], \"ry\": 1.53}]\n```"
            }
        ]
    },
    {
        "id": 323,
        "data_source": "Mono3DRefer",
        "scene_name": "004638_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.22, \"bbox_2d\": [901.69, 171.22, 962.86, 198.09], \"bbox_3d\": [1.34, 1.73, 3.98, 17.16, 1.29, 38.57], \"ry\": 1.61}]\n```"
            }
        ]
    },
    {
        "id": 324,
        "data_source": "Mono3DRefer",
        "scene_name": "004752",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.16, \"bbox_2d\": [0.0, 193.15, 255.76, 363.38], \"bbox_3d\": [1.45, 1.6, 3.2, -5.58, 1.72, 8.03], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -2.32, \"bbox_2d\": [898.93, 190.92, 1241.0, 374.0], \"bbox_3d\": [1.49, 1.68, 3.8, 3.14, 1.62, 3.64], \"ry\": -1.65}, {\"label\": \"car\", \"angle\": 1.97, \"bbox_2d\": [180.84, 184.77, 369.71, 286.98], \"bbox_3d\": [1.49, 1.63, 3.68, -5.69, 1.72, 12.67], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.94, \"bbox_2d\": [766.31, 180.25, 1012.62, 328.72], \"bbox_3d\": [1.49, 1.61, 3.55, 3.2, 1.6, 9.14], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": 1.04, \"bbox_2d\": [471.4, 177.11, 527.77, 203.35], \"bbox_3d\": [1.41, 1.57, 3.53, -6.33, 1.68, 40.97], \"ry\": 0.89}, {\"label\": \"car\", \"angle\": 2.81, \"bbox_2d\": [667.09, 172.15, 730.14, 191.22], \"bbox_3d\": [1.48, 1.87, 4.74, 7.2, 1.46, 58.86], \"ry\": 2.93}]\n```"
            }
        ]
    },
    {
        "id": 325,
        "data_source": "Mono3DRefer",
        "scene_name": "004752_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.98, \"bbox_2d\": [986.24, 193.15, 1242.0, 363.38], \"bbox_3d\": [1.45, 1.6, 3.2, 5.77, 1.72, 8.03], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -0.82, \"bbox_2d\": [1.0, 190.92, 343.07, 374.0], \"bbox_3d\": [1.49, 1.68, 3.8, -3.09, 1.62, 3.64], \"ry\": -1.49}, {\"label\": \"car\", \"angle\": 1.17, \"bbox_2d\": [872.29, 184.77, 1061.16, 286.98], \"bbox_3d\": [1.49, 1.63, 3.68, 6.03, 1.72, 12.67], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.2, \"bbox_2d\": [229.38, 180.25, 475.69, 328.72], \"bbox_3d\": [1.49, 1.61, 3.55, -2.97, 1.6, 9.14], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": 2.1, \"bbox_2d\": [714.23, 177.11, 770.6, 203.35], \"bbox_3d\": [1.41, 1.57, 3.53, 7.57, 1.68, 40.97], \"ry\": 2.25}, {\"label\": \"car\", \"angle\": 0.33, \"bbox_2d\": [511.86, 172.15, 574.91, 191.22], \"bbox_3d\": [1.48, 1.87, 4.74, -5.4, 1.46, 58.86], \"ry\": 0.21}]\n```"
            }
        ]
    },
    {
        "id": 326,
        "data_source": "Mono3DRefer",
        "scene_name": "004817",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.31, \"bbox_2d\": [0.0, 223.08, 218.87, 374.0], \"bbox_3d\": [1.45, 1.49, 4.07, -3.92, 1.84, 3.79], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.85, \"bbox_2d\": [284.85, 207.97, 446.7, 309.73], \"bbox_3d\": [1.27, 1.54, 3.58, -3.87, 1.93, 11.89], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.77, \"bbox_2d\": [397.36, 187.16, 495.91, 262.69], \"bbox_3d\": [1.63, 1.65, 3.91, -4.0, 2.02, 18.08], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [607.62, 183.69, 644.19, 217.18], \"bbox_3d\": [1.46, 1.53, 3.17, 0.67, 1.98, 33.7], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 327,
        "data_source": "Mono3DRefer",
        "scene_name": "004817_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.83, \"bbox_2d\": [1023.13, 223.08, 1242.0, 374.0], \"bbox_3d\": [1.45, 1.49, 4.07, 3.98, 1.84, 3.79], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.29, \"bbox_2d\": [795.3, 207.97, 957.15, 309.73], \"bbox_3d\": [1.27, 1.54, 3.58, 4.18, 1.93, 11.89], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.37, \"bbox_2d\": [746.09, 187.16, 844.64, 262.69], \"bbox_3d\": [1.63, 1.65, 3.91, 4.51, 2.02, 18.08], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [597.81, 183.69, 634.38, 217.18], \"bbox_3d\": [1.46, 1.53, 3.17, 0.34, 1.98, 33.7], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 328,
        "data_source": "Mono3DRefer",
        "scene_name": "004850",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [597.32, 173.71, 624.63, 200.61], \"bbox_3d\": [1.65, 1.67, 3.64, 0.01, 1.73, 46.52], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.12, \"bbox_2d\": [0.0, 183.12, 430.03, 374.0], \"bbox_3d\": [1.61, 1.51, 4.5, -2.72, 1.71, 5.37], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 329,
        "data_source": "Mono3DRefer",
        "scene_name": "004850_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [617.37, 173.71, 644.68, 200.61], \"bbox_3d\": [1.65, 1.67, 3.64, 1.4, 1.73, 46.52], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -2.02, \"bbox_2d\": [811.97, 183.12, 1242.0, 374.0], \"bbox_3d\": [1.61, 1.51, 4.5, 2.83, 1.71, 5.37], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 330,
        "data_source": "Mono3DRefer",
        "scene_name": "004861",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.73, \"bbox_2d\": [436.15, 184.63, 515.93, 243.48], \"bbox_3d\": [1.5, 1.62, 4.19, -3.83, 1.87, 21.02], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 331,
        "data_source": "Mono3DRefer",
        "scene_name": "004861_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.41, \"bbox_2d\": [726.07, 184.63, 805.85, 243.48], \"bbox_3d\": [1.5, 1.62, 4.19, 4.43, 1.87, 21.02], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 332,
        "data_source": "Mono3DRefer",
        "scene_name": "004881",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.35, \"bbox_2d\": [704.56, 182.55, 859.82, 283.69], \"bbox_3d\": [1.42, 1.59, 4.19, 2.7, 1.6, 12.42], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [347.53, 184.44, 487.93, 277.49], \"bbox_3d\": [1.42, 1.64, 3.63, -3.36, 1.65, 13.11], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.72, \"bbox_2d\": [676.79, 175.38, 761.69, 235.84], \"bbox_3d\": [1.38, 1.58, 3.66, 2.65, 1.46, 18.45], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [662.64, 171.63, 726.92, 220.34], \"bbox_3d\": [1.42, 1.6, 3.78, 2.6, 1.41, 23.14], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 2.89, \"bbox_2d\": [758.41, 164.07, 849.47, 197.07], \"bbox_3d\": [1.57, 1.65, 4.1, 9.65, 1.17, 36.18], \"ry\": -3.14}]\n```"
            }
        ]
    },
    {
        "id": 333,
        "data_source": "Mono3DRefer",
        "scene_name": "004881_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.79, \"bbox_2d\": [382.18, 182.55, 537.44, 283.69], \"bbox_3d\": [1.42, 1.59, 4.19, -2.37, 1.6, 12.42], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [754.07, 184.44, 894.47, 277.49], \"bbox_3d\": [1.42, 1.64, 3.63, 3.71, 1.65, 13.11], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.42, \"bbox_2d\": [480.31, 175.38, 565.21, 235.84], \"bbox_3d\": [1.38, 1.58, 3.66, -2.13, 1.46, 18.45], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [515.08, 171.63, 579.36, 220.34], \"bbox_3d\": [1.42, 1.6, 3.78, -1.93, 1.41, 23.14], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 0.25, \"bbox_2d\": [392.53, 164.07, 483.59, 197.07], \"bbox_3d\": [1.57, 1.65, 4.1, -8.56, 1.17, 36.18], \"ry\": -0.0}]\n```"
            }
        ]
    },
    {
        "id": 334,
        "data_source": "Mono3DRefer",
        "scene_name": "004892",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.03, \"bbox_2d\": [765.81, 166.61, 1177.5, 374.0], \"bbox_3d\": [1.72, 1.67, 4.42, 3.03, 1.71, 7.35], \"ry\": -1.65}, {\"label\": \"car\", \"angle\": 1.73, \"bbox_2d\": [352.84, 193.82, 490.09, 303.48], \"bbox_3d\": [1.44, 1.56, 3.84, -3.0, 1.83, 12.0], \"ry\": 1.49}, {\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [493.62, 183.73, 535.99, 225.21], \"bbox_3d\": [1.5, 1.55, 4.21, -3.78, 1.95, 28.86], \"ry\": -1.67}, {\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [624.12, 174.38, 675.12, 223.4], \"bbox_3d\": [1.82, 1.65, 3.67, 1.49, 1.9, 28.87], \"ry\": -1.62}]\n```"
            }
        ]
    },
    {
        "id": 335,
        "data_source": "Mono3DRefer",
        "scene_name": "004892_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.11, \"bbox_2d\": [64.5, 166.61, 476.19, 374.0], \"bbox_3d\": [1.72, 1.67, 4.42, -2.86, 1.71, 7.35], \"ry\": -1.49}, {\"label\": \"car\", \"angle\": 1.41, \"bbox_2d\": [751.91, 193.82, 889.16, 303.48], \"bbox_3d\": [1.44, 1.56, 3.84, 3.32, 1.83, 12.0], \"ry\": 1.65}, {\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [706.01, 183.73, 748.38, 225.21], \"bbox_3d\": [1.5, 1.55, 4.21, 4.63, 1.95, 28.86], \"ry\": -1.47}, {\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [566.88, 174.38, 617.88, 223.4], \"bbox_3d\": [1.82, 1.65, 3.67, -0.64, 1.9, 28.87], \"ry\": -1.52}]\n```"
            }
        ]
    },
    {
        "id": 336,
        "data_source": "Mono3DRefer",
        "scene_name": "004927",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [589.99, 170.23, 621.54, 201.4], \"bbox_3d\": [1.65, 1.67, 3.64, -0.22, 1.54, 40.4], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 337,
        "data_source": "Mono3DRefer",
        "scene_name": "004927_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [620.46, 170.23, 652.01, 201.4], \"bbox_3d\": [1.65, 1.67, 3.64, 1.44, 1.54, 40.4], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 338,
        "data_source": "Mono3DRefer",
        "scene_name": "004932",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [309.06, 185.84, 505.14, 323.68], \"bbox_3d\": [1.55, 1.68, 4.42, -2.73, 1.77, 10.59], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.75, \"bbox_2d\": [681.27, 182.93, 775.19, 255.81], \"bbox_3d\": [1.6, 1.53, 4.18, 2.81, 1.87, 18.21], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [661.27, 183.05, 729.91, 235.58], \"bbox_3d\": [1.56, 1.57, 3.98, 2.71, 1.92, 23.91], \"ry\": -1.63}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [665.0, 172.65, 693.93, 195.34], \"bbox_3d\": [1.79, 1.72, 4.35, 5.68, 1.8, 59.61], \"ry\": 1.51}]\n```"
            }
        ]
    },
    {
        "id": 339,
        "data_source": "Mono3DRefer",
        "scene_name": "004932_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [736.86, 185.84, 932.94, 323.68], \"bbox_3d\": [1.55, 1.68, 4.42, 3.0, 1.77, 10.59], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.39, \"bbox_2d\": [466.81, 182.93, 560.73, 255.81], \"bbox_3d\": [1.6, 1.53, 4.18, -2.29, 1.87, 18.21], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [512.09, 183.05, 580.73, 235.58], \"bbox_3d\": [1.56, 1.57, 3.98, -2.01, 1.92, 23.91], \"ry\": -1.51}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [548.07, 172.65, 577.0, 195.34], \"bbox_3d\": [1.79, 1.72, 4.35, -3.85, 1.8, 59.61], \"ry\": 1.63}]\n```"
            }
        ]
    },
    {
        "id": 340,
        "data_source": "Mono3DRefer",
        "scene_name": "005054",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.11, \"bbox_2d\": [0.0, 204.32, 389.66, 374.0], \"bbox_3d\": [1.52, 1.57, 4.42, -2.74, 1.78, 4.12], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.06, \"bbox_2d\": [826.02, 187.78, 1241.0, 374.0], \"bbox_3d\": [1.55, 1.47, 3.36, 2.78, 1.68, 5.11], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [461.91, 191.98, 536.89, 255.42], \"bbox_3d\": [1.46, 1.6, 3.33, -2.88, 2.0, 19.09], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": -1.7, \"bbox_2d\": [665.15, 182.31, 746.1, 249.39], \"bbox_3d\": [1.64, 1.7, 3.54, 2.47, 1.91, 19.71], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.63, \"bbox_2d\": [540.24, 186.84, 572.92, 214.79], \"bbox_3d\": [1.55, 1.68, 4.42, -3.21, 2.43, 43.68], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 341,
        "data_source": "Mono3DRefer",
        "scene_name": "005054_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.03, \"bbox_2d\": [852.34, 204.32, 1242.0, 374.0], \"bbox_3d\": [1.52, 1.57, 4.42, 2.81, 1.78, 4.12], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 2.08, \"bbox_2d\": [1.0, 187.78, 415.98, 374.0], \"bbox_3d\": [1.55, 1.47, 3.36, -2.68, 1.68, 5.11], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [705.11, 191.98, 780.09, 255.42], \"bbox_3d\": [1.46, 1.6, 3.33, 3.42, 2.0, 19.09], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": -1.44, \"bbox_2d\": [495.9, 182.31, 576.85, 249.39], \"bbox_3d\": [1.64, 1.7, 3.54, -1.91, 1.91, 19.71], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.51, \"bbox_2d\": [669.08, 186.84, 701.76, 214.79], \"bbox_3d\": [1.55, 1.68, 4.42, 4.53, 2.43, 43.68], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 342,
        "data_source": "Mono3DRefer",
        "scene_name": "005108",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.86, \"bbox_2d\": [316.52, 167.75, 350.08, 184.95], \"bbox_3d\": [1.41, 1.66, 3.76, -23.34, -0.03, 61.05], \"ry\": -2.22}, {\"label\": \"car\", \"angle\": -1.75, \"bbox_2d\": [473.73, 167.96, 522.61, 202.0], \"bbox_3d\": [1.6, 1.76, 3.84, -5.57, 0.78, 36.03], \"ry\": -1.9}, {\"label\": \"car\", \"angle\": -1.91, \"bbox_2d\": [399.0, 172.83, 443.53, 196.56], \"bbox_3d\": [1.39, 1.56, 3.45, -11.46, 0.66, 44.0], \"ry\": -2.16}]\n```"
            }
        ]
    },
    {
        "id": 343,
        "data_source": "Mono3DRefer",
        "scene_name": "005108_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.28, \"bbox_2d\": [890.92, 167.75, 924.48, 184.95], \"bbox_3d\": [1.41, 1.66, 3.76, 25.54, -0.03, 61.05], \"ry\": -0.92}, {\"label\": \"car\", \"angle\": -1.39, \"bbox_2d\": [718.39, 167.96, 767.27, 202.0], \"bbox_3d\": [1.6, 1.76, 3.84, 6.84, 0.78, 36.03], \"ry\": -1.24}, {\"label\": \"car\", \"angle\": -1.23, \"bbox_2d\": [797.47, 172.83, 842.0, 196.56], \"bbox_3d\": [1.39, 1.56, 3.45, 13.03, 0.66, 44.0], \"ry\": -0.98}]\n```"
            }
        ]
    },
    {
        "id": 344,
        "data_source": "Mono3DRefer",
        "scene_name": "005120",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.92, \"bbox_2d\": [825.05, 137.77, 1196.37, 369.09], \"bbox_3d\": [1.8, 1.74, 4.96, 3.82, 1.56, 8.13], \"ry\": -1.49}, {\"label\": \"car\", \"angle\": -1.66, \"bbox_2d\": [786.92, 164.3, 867.4, 234.15], \"bbox_3d\": [1.61, 1.56, 4.12, 5.5, 1.44, 18.79], \"ry\": -1.38}]\n```"
            }
        ]
    },
    {
        "id": 345,
        "data_source": "Mono3DRefer",
        "scene_name": "005120_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.22, \"bbox_2d\": [45.63, 137.77, 416.95, 369.09], \"bbox_3d\": [1.8, 1.74, 4.96, -3.62, 1.56, 8.13], \"ry\": -1.65}, {\"label\": \"car\", \"angle\": -1.48, \"bbox_2d\": [374.6, 164.3, 455.08, 234.15], \"bbox_3d\": [1.61, 1.56, 4.12, -4.97, 1.44, 18.79], \"ry\": -1.76}]\n```"
            }
        ]
    },
    {
        "id": 346,
        "data_source": "Mono3DRefer",
        "scene_name": "005145",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.7, \"bbox_2d\": [673.71, 176.33, 750.59, 235.69], \"bbox_3d\": [1.54, 1.67, 3.72, 2.8, 1.66, 20.78], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.84, \"bbox_2d\": [723.73, 159.27, 949.58, 324.25], \"bbox_3d\": [1.76, 1.71, 4.35, 2.74, 1.64, 9.94], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -2.51, \"bbox_2d\": [0.0, 187.79, 304.62, 314.5], \"bbox_3d\": [1.49, 1.61, 3.87, -6.35, 1.72, 9.5], \"ry\": -3.08}, {\"label\": \"car\", \"angle\": -2.63, \"bbox_2d\": [84.88, 179.68, 344.88, 277.93], \"bbox_3d\": [1.5, 1.58, 3.47, -6.5, 1.63, 12.02], \"ry\": -3.11}, {\"label\": \"car\", \"angle\": 0.39, \"bbox_2d\": [211.26, 159.39, 439.84, 251.22], \"bbox_3d\": [1.95, 1.64, 4.57, -6.41, 1.69, 16.45], \"ry\": 0.03}, {\"label\": \"car\", \"angle\": -2.72, \"bbox_2d\": [185.93, 174.55, 390.15, 265.63], \"bbox_3d\": [1.66, 1.58, 3.31, -6.28, 1.72, 14.21], \"ry\": -3.13}, {\"label\": \"car\", \"angle\": -1.8, \"bbox_2d\": [693.43, 180.77, 809.04, 257.72], \"bbox_3d\": [1.44, 1.66, 3.25, 2.83, 1.61, 15.3], \"ry\": -1.62}, {\"label\": \"car\", \"angle\": -2.8, \"bbox_2d\": [272.74, 163.16, 431.31, 239.99], \"bbox_3d\": [1.87, 1.61, 3.53, -6.65, 1.66, 18.72], \"ry\": 3.14}, {\"label\": \"car\", \"angle\": -2.83, \"bbox_2d\": [328.13, 171.75, 476.0, 227.64], \"bbox_3d\": [1.72, 1.65, 4.33, -6.75, 1.72, 23.54], \"ry\": -3.1}, {\"label\": \"car\", \"angle\": 0.28, \"bbox_2d\": [406.05, 174.49, 509.54, 212.51], \"bbox_3d\": [1.57, 1.54, 4.1, -6.58, 1.67, 31.22], \"ry\": 0.07}, {\"label\": \"car\", \"angle\": -2.96, \"bbox_2d\": [437.72, 165.9, 521.29, 205.38], \"bbox_3d\": [1.89, 1.59, 3.87, -6.51, 1.58, 36.07], \"ry\": -3.14}, {\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [647.67, 176.15, 691.33, 210.38], \"bbox_3d\": [1.45, 1.59, 3.59, 2.62, 1.62, 32.79], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 347,
        "data_source": "Mono3DRefer",
        "scene_name": "005145_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.44, \"bbox_2d\": [491.41, 176.33, 568.29, 235.69], \"bbox_3d\": [1.54, 1.67, 3.72, -2.2, 1.66, 20.78], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.3, \"bbox_2d\": [292.42, 159.27, 518.27, 324.25], \"bbox_3d\": [1.76, 1.71, 4.35, -2.49, 1.64, 9.94], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -0.63, \"bbox_2d\": [937.38, 187.79, 1242.0, 314.5], \"bbox_3d\": [1.49, 1.61, 3.87, 6.59, 1.72, 9.5], \"ry\": -0.06}, {\"label\": \"car\", \"angle\": -0.51, \"bbox_2d\": [897.12, 179.68, 1157.12, 277.93], \"bbox_3d\": [1.5, 1.58, 3.47, 6.82, 1.63, 12.02], \"ry\": -0.03}, {\"label\": \"car\", \"angle\": 2.75, \"bbox_2d\": [802.16, 159.39, 1030.74, 251.22], \"bbox_3d\": [1.95, 1.64, 4.57, 6.87, 1.69, 16.45], \"ry\": 3.11}, {\"label\": \"car\", \"angle\": -0.42, \"bbox_2d\": [851.85, 174.55, 1056.07, 265.63], \"bbox_3d\": [1.66, 1.58, 3.31, 6.67, 1.72, 14.21], \"ry\": -0.01}, {\"label\": \"car\", \"angle\": -1.34, \"bbox_2d\": [432.96, 180.77, 548.57, 257.72], \"bbox_3d\": [1.44, 1.66, 3.25, -2.41, 1.61, 15.3], \"ry\": -1.52}, {\"label\": \"car\", \"angle\": -0.34, \"bbox_2d\": [810.69, 163.16, 969.26, 239.99], \"bbox_3d\": [1.87, 1.61, 3.53, 7.18, 1.66, 18.72], \"ry\": 0.0}, {\"label\": \"car\", \"angle\": -0.31, \"bbox_2d\": [766.0, 171.75, 913.87, 227.64], \"bbox_3d\": [1.72, 1.65, 4.33, 7.43, 1.72, 23.54], \"ry\": -0.04}, {\"label\": \"car\", \"angle\": 2.86, \"bbox_2d\": [732.46, 174.49, 835.95, 212.51], \"bbox_3d\": [1.57, 1.54, 4.1, 7.51, 1.67, 31.22], \"ry\": 3.07}, {\"label\": \"car\", \"angle\": -0.18, \"bbox_2d\": [720.71, 165.9, 804.28, 205.38], \"bbox_3d\": [1.89, 1.59, 3.87, 7.59, 1.58, 36.07], \"ry\": -0.0}, {\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [550.67, 176.15, 594.33, 210.38], \"bbox_3d\": [1.45, 1.59, 3.59, -1.64, 1.62, 32.79], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 348,
        "data_source": "Mono3DRefer",
        "scene_name": "005206",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [437.44, 180.78, 527.42, 245.06], \"bbox_3d\": [1.45, 1.64, 4.21, -3.2, 1.66, 18.61], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [665.13, 179.8, 715.15, 223.48], \"bbox_3d\": [1.62, 1.58, 3.89, 3.11, 1.9, 28.9], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [528.01, 181.8, 574.96, 213.66], \"bbox_3d\": [1.45, 1.67, 4.43, -2.85, 1.91, 35.66], \"ry\": 1.64}]\n```"
            }
        ]
    },
    {
        "id": 349,
        "data_source": "Mono3DRefer",
        "scene_name": "005206_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [714.58, 180.78, 804.56, 245.06], \"bbox_3d\": [1.45, 1.64, 4.21, 3.73, 1.66, 18.61], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [526.85, 179.8, 576.87, 223.48], \"bbox_3d\": [1.62, 1.58, 3.89, -2.26, 1.9, 28.9], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [667.04, 181.8, 713.99, 213.66], \"bbox_3d\": [1.45, 1.67, 4.43, 3.92, 1.91, 35.66], \"ry\": 1.5}]\n```"
            }
        ]
    },
    {
        "id": 350,
        "data_source": "Mono3DRefer",
        "scene_name": "005349",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.85, \"bbox_2d\": [665.68, 163.78, 975.49, 341.93], \"bbox_3d\": [1.6, 1.57, 3.23, 2.35, 1.53, 8.03], \"ry\": -0.58}, {\"label\": \"car\", \"angle\": 2.05, \"bbox_2d\": [919.5, 164.28, 1166.44, 295.44], \"bbox_3d\": [1.57, 1.5, 3.68, 6.17, 1.47, 10.24], \"ry\": 2.58}, {\"label\": \"car\", \"angle\": -1.26, \"bbox_2d\": [1155.86, 179.15, 1241.0, 264.67], \"bbox_3d\": [1.47, 1.6, 3.66, 12.26, 1.6, 13.9], \"ry\": -0.55}]\n```"
            }
        ]
    },
    {
        "id": 351,
        "data_source": "Mono3DRefer",
        "scene_name": "005349_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.29, \"bbox_2d\": [266.51, 163.78, 576.32, 341.93], \"bbox_3d\": [1.6, 1.57, 3.23, -2.16, 1.53, 8.03], \"ry\": -2.56}, {\"label\": \"car\", \"angle\": 1.09, \"bbox_2d\": [75.56, 164.28, 322.5, 295.44], \"bbox_3d\": [1.57, 1.5, 3.68, -5.91, 1.47, 10.24], \"ry\": 0.56}, {\"label\": \"car\", \"angle\": -1.88, \"bbox_2d\": [1.0, 179.15, 86.14, 264.67], \"bbox_3d\": [1.47, 1.6, 3.66, -11.88, 1.6, 13.9], \"ry\": -2.59}]\n```"
            }
        ]
    },
    {
        "id": 352,
        "data_source": "Mono3DRefer",
        "scene_name": "005365",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.81, \"bbox_2d\": [178.63, 188.3, 251.56, 236.72], \"bbox_3d\": [1.52, 1.51, 3.1, -13.62, 2.07, 24.75], \"ry\": -2.31}, {\"label\": \"car\", \"angle\": -1.75, \"bbox_2d\": [148.14, 190.59, 212.81, 233.55], \"bbox_3d\": [1.53, 1.58, 3.53, -16.85, 2.24, 28.17], \"ry\": -2.28}, {\"label\": \"car\", \"angle\": -1.61, \"bbox_2d\": [117.84, 190.22, 157.31, 219.99], \"bbox_3d\": [1.46, 1.6, 3.71, -25.21, 2.41, 38.41], \"ry\": -2.19}, {\"label\": \"car\", \"angle\": -1.79, \"bbox_2d\": [214.89, 187.93, 313.37, 251.93], \"bbox_3d\": [1.57, 1.72, 3.52, -9.65, 2.0, 19.92], \"ry\": -2.24}]\n```"
            }
        ]
    },
    {
        "id": 353,
        "data_source": "Mono3DRefer",
        "scene_name": "005365_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.33, \"bbox_2d\": [990.44, 188.3, 1063.37, 236.72], \"bbox_3d\": [1.52, 1.51, 3.1, 14.34, 2.07, 24.75], \"ry\": -0.83}, {\"label\": \"car\", \"angle\": -1.39, \"bbox_2d\": [1029.19, 190.59, 1093.86, 233.55], \"bbox_3d\": [1.53, 1.58, 3.53, 17.68, 2.24, 28.17], \"ry\": -0.86}, {\"label\": \"car\", \"angle\": -1.53, \"bbox_2d\": [1084.69, 190.22, 1124.16, 219.99], \"bbox_3d\": [1.46, 1.6, 3.71, 26.37, 2.41, 38.41], \"ry\": -0.95}, {\"label\": \"car\", \"angle\": -1.35, \"bbox_2d\": [928.63, 187.93, 1027.11, 251.93], \"bbox_3d\": [1.57, 1.72, 3.52, 10.22, 2.0, 19.92], \"ry\": -0.9}]\n```"
            }
        ]
    },
    {
        "id": 354,
        "data_source": "Mono3DRefer",
        "scene_name": "005441",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [403.69, 184.49, 519.12, 261.91], \"bbox_3d\": [1.5, 1.7, 3.77, -3.24, 1.79, 16.25], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.53, \"bbox_2d\": [533.39, 173.51, 559.92, 198.91], \"bbox_3d\": [1.57, 1.55, 3.32, -4.09, 1.64, 46.71], \"ry\": -1.61}]\n```"
            }
        ]
    },
    {
        "id": 355,
        "data_source": "Mono3DRefer",
        "scene_name": "005441_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [722.88, 184.49, 838.31, 261.91], \"bbox_3d\": [1.5, 1.7, 3.77, 3.69, 1.79, 16.25], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.61, \"bbox_2d\": [682.08, 173.51, 708.61, 198.91], \"bbox_3d\": [1.57, 1.55, 3.32, 5.51, 1.64, 46.71], \"ry\": -1.53}]\n```"
            }
        ]
    },
    {
        "id": 356,
        "data_source": "Mono3DRefer",
        "scene_name": "005453",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.2, \"bbox_2d\": [466.48, 175.75, 521.77, 205.4], \"bbox_3d\": [1.41, 1.57, 3.53, -5.95, 1.59, 36.56], \"ry\": 1.04}, {\"label\": \"car\", \"angle\": 2.62, \"bbox_2d\": [548.69, 171.94, 610.9, 193.03], \"bbox_3d\": [1.47, 1.72, 4.22, -2.2, 1.42, 52.54], \"ry\": 2.58}, {\"label\": \"car\", \"angle\": 0.75, \"bbox_2d\": [343.85, 177.75, 418.45, 202.79], \"bbox_3d\": [1.42, 1.71, 4.14, -13.59, 1.74, 42.72], \"ry\": 0.44}, {\"label\": \"car\", \"angle\": 2.75, \"bbox_2d\": [653.84, 172.63, 719.95, 192.69], \"bbox_3d\": [1.48, 1.87, 4.74, 5.95, 1.49, 56.06], \"ry\": 2.86}, {\"label\": \"car\", \"angle\": 2.36, \"bbox_2d\": [0.0, 202.9, 105.99, 374.0], \"bbox_3d\": [1.45, 1.6, 3.2, -5.66, 1.73, 5.28], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 2.07, \"bbox_2d\": [16.7, 186.99, 300.55, 327.14], \"bbox_3d\": [1.49, 1.63, 3.68, -5.83, 1.71, 9.81], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -2.05, \"bbox_2d\": [806.88, 183.23, 1226.34, 374.0], \"bbox_3d\": [1.49, 1.61, 3.55, 3.09, 1.6, 6.45], \"ry\": -1.62}]\n```"
            }
        ]
    },
    {
        "id": 357,
        "data_source": "Mono3DRefer",
        "scene_name": "005453_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.94, \"bbox_2d\": [720.23, 175.75, 775.52, 205.4], \"bbox_3d\": [1.41, 1.57, 3.53, 7.05, 1.59, 36.56], \"ry\": 2.1}, {\"label\": \"car\", \"angle\": 0.52, \"bbox_2d\": [631.1, 171.94, 693.31, 193.03], \"bbox_3d\": [1.47, 1.72, 4.22, 3.8, 1.42, 52.54], \"ry\": 0.56}, {\"label\": \"car\", \"angle\": 2.39, \"bbox_2d\": [823.55, 177.75, 898.15, 202.79], \"bbox_3d\": [1.42, 1.71, 4.14, 14.88, 1.74, 42.72], \"ry\": 2.7}, {\"label\": \"car\", \"angle\": 0.39, \"bbox_2d\": [522.05, 172.63, 588.16, 192.69], \"bbox_3d\": [1.48, 1.87, 4.74, -4.23, 1.49, 56.06], \"ry\": 0.28}, {\"label\": \"car\", \"angle\": 0.78, \"bbox_2d\": [1136.01, 202.9, 1242.0, 374.0], \"bbox_3d\": [1.45, 1.6, 3.2, 5.77, 1.73, 5.28], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.07, \"bbox_2d\": [941.45, 186.99, 1225.3, 327.14], \"bbox_3d\": [1.49, 1.63, 3.68, 6.08, 1.71, 9.81], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.09, \"bbox_2d\": [15.66, 183.23, 435.12, 374.0], \"bbox_3d\": [1.49, 1.61, 3.55, -2.95, 1.6, 6.45], \"ry\": -1.52}]\n```"
            }
        ]
    },
    {
        "id": 358,
        "data_source": "Mono3DRefer",
        "scene_name": "005515",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.88, \"bbox_2d\": [863.21, 190.06, 1241.0, 374.0], \"bbox_3d\": [1.46, 1.53, 3.17, 2.84, 1.61, 5.14], \"ry\": -1.4}, {\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [804.86, 174.45, 871.79, 227.49], \"bbox_3d\": [1.52, 1.54, 4.5, 7.15, 1.59, 23.04], \"ry\": -1.37}, {\"label\": \"car\", \"angle\": -2.62, \"bbox_2d\": [343.37, 184.87, 511.26, 265.98], \"bbox_3d\": [1.59, 1.45, 3.15, -3.9, 1.86, 15.36], \"ry\": -2.87}]\n```"
            }
        ]
    },
    {
        "id": 359,
        "data_source": "Mono3DRefer",
        "scene_name": "005515_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.26, \"bbox_2d\": [1.0, 190.06, 378.79, 374.0], \"bbox_3d\": [1.46, 1.53, 3.17, -2.74, 1.61, 5.14], \"ry\": -1.74}, {\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [370.21, 174.45, 437.14, 227.49], \"bbox_3d\": [1.52, 1.54, 4.5, -6.48, 1.59, 23.04], \"ry\": -1.77}, {\"label\": \"car\", \"angle\": -0.52, \"bbox_2d\": [730.74, 184.87, 898.63, 265.98], \"bbox_3d\": [1.59, 1.45, 3.15, 4.32, 1.86, 15.36], \"ry\": -0.27}]\n```"
            }
        ]
    },
    {
        "id": 360,
        "data_source": "Mono3DRefer",
        "scene_name": "005555",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [585.28, 174.3, 611.65, 200.37], \"bbox_3d\": [1.65, 1.67, 3.64, -0.8, 1.77, 47.96], \"ry\": -1.59}]\n```"
            }
        ]
    },
    {
        "id": 361,
        "data_source": "Mono3DRefer",
        "scene_name": "005555_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.57, \"bbox_2d\": [630.35, 174.3, 656.72, 200.37], \"bbox_3d\": [1.65, 1.67, 3.64, 2.26, 1.77, 47.96], \"ry\": -1.55}]\n```"
            }
        ]
    },
    {
        "id": 362,
        "data_source": "Mono3DRefer",
        "scene_name": "005616",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.69, \"bbox_2d\": [423.16, 189.84, 485.47, 234.19], \"bbox_3d\": [1.27, 1.54, 3.58, -5.03, 1.85, 23.48], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [452.09, 177.08, 502.27, 219.6], \"bbox_3d\": [1.63, 1.65, 3.91, -5.49, 1.83, 30.01], \"ry\": 1.49}, {\"label\": \"car\", \"angle\": 1.26, \"bbox_2d\": [698.2, 155.45, 855.83, 262.06], \"bbox_3d\": [1.79, 1.72, 4.35, 3.07, 1.52, 14.43], \"ry\": 1.46}, {\"label\": \"car\", \"angle\": 1.79, \"bbox_2d\": [322.49, 190.57, 442.95, 275.53], \"bbox_3d\": [1.45, 1.49, 4.07, -4.59, 1.85, 14.99], \"ry\": 1.49}]\n```"
            }
        ]
    },
    {
        "id": 363,
        "data_source": "Mono3DRefer",
        "scene_name": "005616_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.45, \"bbox_2d\": [756.53, 189.84, 818.84, 234.19], \"bbox_3d\": [1.27, 1.54, 3.58, 5.71, 1.85, 23.48], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [739.73, 177.08, 789.91, 219.6], \"bbox_3d\": [1.63, 1.65, 3.91, 6.38, 1.83, 30.01], \"ry\": 1.65}, {\"label\": \"car\", \"angle\": 1.88, \"bbox_2d\": [386.17, 155.45, 543.8, 262.06], \"bbox_3d\": [1.79, 1.72, 4.35, -2.67, 1.52, 14.43], \"ry\": 1.68}, {\"label\": \"car\", \"angle\": 1.35, \"bbox_2d\": [799.05, 190.57, 919.51, 275.53], \"bbox_3d\": [1.45, 1.49, 4.07, 5.0, 1.85, 14.99], \"ry\": 1.65}]\n```"
            }
        ]
    },
    {
        "id": 364,
        "data_source": "Mono3DRefer",
        "scene_name": "005745",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.75, \"bbox_2d\": [544.97, 183.44, 592.17, 215.86], \"bbox_3d\": [1.5, 1.7, 3.77, -2.04, 2.05, 36.07], \"ry\": 1.69}]\n```"
            }
        ]
    },
    {
        "id": 365,
        "data_source": "Mono3DRefer",
        "scene_name": "005745_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.39, \"bbox_2d\": [649.83, 183.44, 697.03, 215.86], \"bbox_3d\": [1.5, 1.7, 3.77, 3.12, 2.05, 36.07], \"ry\": 1.45}]\n```"
            }
        ]
    },
    {
        "id": 366,
        "data_source": "Mono3DRefer",
        "scene_name": "005747",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.18, \"bbox_2d\": [672.15, 171.62, 782.4, 209.07], \"bbox_3d\": [1.45, 1.6, 4.23, 4.72, 1.43, 29.62], \"ry\": -0.02}, {\"label\": \"car\", \"angle\": 3.1, \"bbox_2d\": [648.07, 172.06, 705.13, 193.54], \"bbox_3d\": [1.48, 1.72, 3.99, 4.72, 1.45, 51.81], \"ry\": -3.09}]\n```"
            }
        ]
    },
    {
        "id": 367,
        "data_source": "Mono3DRefer",
        "scene_name": "005747_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.96, \"bbox_2d\": [459.6, 171.62, 569.85, 209.07], \"bbox_3d\": [1.45, 1.6, 4.23, -3.84, 1.43, 29.62], \"ry\": -3.12}, {\"label\": \"car\", \"angle\": 0.04, \"bbox_2d\": [536.87, 172.06, 593.93, 193.54], \"bbox_3d\": [1.48, 1.72, 3.99, -3.14, 1.45, 51.81], \"ry\": -0.05}]\n```"
            }
        ]
    },
    {
        "id": 368,
        "data_source": "Mono3DRefer",
        "scene_name": "005822",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.93, \"bbox_2d\": [763.92, 175.77, 1126.46, 374.0], \"bbox_3d\": [1.64, 1.7, 3.54, 2.63, 1.69, 6.7], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.8, \"bbox_2d\": [712.98, 188.78, 864.94, 295.22], \"bbox_3d\": [1.37, 1.51, 3.39, 2.59, 1.65, 11.35], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.65, \"bbox_2d\": [521.43, 177.48, 568.8, 216.7], \"bbox_3d\": [1.55, 1.68, 4.42, -2.75, 1.77, 31.04], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.92, \"bbox_2d\": [108.61, 194.84, 446.62, 374.0], \"bbox_3d\": [1.46, 1.6, 3.33, -2.69, 1.7, 6.57], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 369,
        "data_source": "Mono3DRefer",
        "scene_name": "005822_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.21, \"bbox_2d\": [115.54, 175.77, 478.08, 374.0], \"bbox_3d\": [1.64, 1.7, 3.54, -2.48, 1.69, 6.7], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.34, \"bbox_2d\": [377.06, 188.78, 529.02, 295.22], \"bbox_3d\": [1.37, 1.51, 3.39, -2.29, 1.65, 11.35], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.49, \"bbox_2d\": [673.2, 177.48, 720.57, 216.7], \"bbox_3d\": [1.55, 1.68, 4.42, 3.67, 1.77, 31.04], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.22, \"bbox_2d\": [795.38, 194.84, 1133.39, 374.0], \"bbox_3d\": [1.46, 1.6, 3.33, 2.84, 1.7, 6.57], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 370,
        "data_source": "Mono3DRefer",
        "scene_name": "005869",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [498.03, 193.92, 550.61, 238.34], \"bbox_3d\": [1.5, 1.62, 4.19, -3.29, 2.37, 28.05], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 371,
        "data_source": "Mono3DRefer",
        "scene_name": "005869_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [691.39, 193.92, 743.97, 238.34], \"bbox_3d\": [1.5, 1.62, 4.19, 4.12, 2.37, 28.05], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 372,
        "data_source": "Mono3DRefer",
        "scene_name": "005887",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [489.6, 181.45, 557.77, 228.12], \"bbox_3d\": [1.5, 1.7, 3.77, -3.0, 1.82, 25.47], \"ry\": 1.64}]\n```"
            }
        ]
    },
    {
        "id": 373,
        "data_source": "Mono3DRefer",
        "scene_name": "005887_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [684.23, 181.45, 752.4, 228.12], \"bbox_3d\": [1.5, 1.7, 3.77, 3.75, 1.82, 25.47], \"ry\": 1.5}]\n```"
            }
        ]
    },
    {
        "id": 374,
        "data_source": "Mono3DRefer",
        "scene_name": "005907",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.69, \"bbox_2d\": [452.05, 178.6, 494.0, 209.43], \"bbox_3d\": [1.45, 1.62, 3.83, -6.87, 1.75, 36.31], \"ry\": 1.5}]\n```"
            }
        ]
    },
    {
        "id": 375,
        "data_source": "Mono3DRefer",
        "scene_name": "005907_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.45, \"bbox_2d\": [748.0, 178.6, 789.95, 209.43], \"bbox_3d\": [1.45, 1.62, 3.83, 7.96, 1.75, 36.31], \"ry\": 1.64}]\n```"
            }
        ]
    },
    {
        "id": 376,
        "data_source": "Mono3DRefer",
        "scene_name": "005913",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.51, \"bbox_2d\": [740.64, 175.76, 794.29, 220.98], \"bbox_3d\": [1.6, 1.76, 3.84, 6.15, 1.26, 27.56], \"ry\": -1.29}, {\"label\": \"car\", \"angle\": -1.26, \"bbox_2d\": [0.0, 212.8, 65.37, 258.79], \"bbox_3d\": [1.36, 1.66, 4.18, -21.3, 2.45, 25.89], \"ry\": -1.94}, {\"label\": \"car\", \"angle\": -1.35, \"bbox_2d\": [74.74, 201.11, 138.62, 242.26], \"bbox_3d\": [1.7, 1.76, 3.21, -23.28, 2.5, 33.48], \"ry\": -1.96}, {\"label\": \"car\", \"angle\": -1.45, \"bbox_2d\": [795.75, 177.68, 824.17, 197.55], \"bbox_3d\": [1.39, 1.56, 3.45, 14.69, 0.85, 52.17], \"ry\": -1.17}]\n```"
            }
        ]
    },
    {
        "id": 377,
        "data_source": "Mono3DRefer",
        "scene_name": "005913_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.63, \"bbox_2d\": [446.71, 175.76, 500.36, 220.98], \"bbox_3d\": [1.6, 1.76, 3.84, -5.19, 1.26, 27.56], \"ry\": -1.85}, {\"label\": \"car\", \"angle\": -1.88, \"bbox_2d\": [1175.63, 212.8, 1241.0, 258.79], \"bbox_3d\": [1.36, 1.66, 4.18, 22.2, 2.45, 25.89], \"ry\": -1.2}, {\"label\": \"car\", \"angle\": -1.79, \"bbox_2d\": [1102.38, 201.11, 1166.26, 242.26], \"bbox_3d\": [1.7, 1.76, 3.21, 24.46, 2.5, 33.48], \"ry\": -1.18}, {\"label\": \"car\", \"angle\": -1.69, \"bbox_2d\": [416.83, 177.68, 445.25, 197.55], \"bbox_3d\": [1.39, 1.56, 3.45, -12.82, 0.85, 52.17], \"ry\": -1.97}]\n```"
            }
        ]
    },
    {
        "id": 378,
        "data_source": "Mono3DRefer",
        "scene_name": "005969",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [652.71, 188.7, 701.73, 226.88], \"bbox_3d\": [1.41, 1.58, 4.36, 2.69, 2.1, 30.07], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 379,
        "data_source": "Mono3DRefer",
        "scene_name": "005969_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [540.27, 188.7, 589.29, 226.88], \"bbox_3d\": [1.41, 1.58, 4.36, -1.8, 2.1, 30.07], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 380,
        "data_source": "Mono3DRefer",
        "scene_name": "005975",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.31, \"bbox_2d\": [0.0, 163.3, 303.39, 374.0], \"bbox_3d\": [1.7, 1.63, 4.08, -3.01, 1.68, 3.01], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.28, \"bbox_2d\": [298.43, 193.97, 488.92, 312.95], \"bbox_3d\": [1.4, 1.67, 3.72, -3.07, 1.76, 10.87], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [632.33, 186.17, 684.92, 229.06], \"bbox_3d\": [1.49, 1.61, 3.74, 1.76, 2.02, 27.67], \"ry\": 1.53}]\n```"
            }
        ]
    },
    {
        "id": 381,
        "data_source": "Mono3DRefer",
        "scene_name": "005975_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.83, \"bbox_2d\": [938.61, 163.3, 1242.0, 374.0], \"bbox_3d\": [1.7, 1.63, 4.08, 3.04, 1.68, 3.01], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.86, \"bbox_2d\": [753.08, 193.97, 943.57, 312.95], \"bbox_3d\": [1.4, 1.67, 3.72, 3.35, 1.76, 10.87], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [557.08, 186.17, 609.67, 229.06], \"bbox_3d\": [1.49, 1.61, 3.74, -0.94, 2.02, 27.67], \"ry\": 1.61}]\n```"
            }
        ]
    },
    {
        "id": 382,
        "data_source": "Mono3DRefer",
        "scene_name": "005978",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.92, \"bbox_2d\": [762.81, 186.14, 1100.77, 374.0], \"bbox_3d\": [1.41, 1.58, 4.36, 2.85, 1.58, 7.63], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 383,
        "data_source": "Mono3DRefer",
        "scene_name": "005978_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.22, \"bbox_2d\": [141.23, 186.14, 479.19, 374.0], \"bbox_3d\": [1.41, 1.58, 4.36, -2.67, 1.58, 7.63], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 384,
        "data_source": "Mono3DRefer",
        "scene_name": "006013",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [482.3, 183.9, 548.35, 230.14], \"bbox_3d\": [1.46, 1.75, 4.23, -3.29, 1.87, 25.54], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 385,
        "data_source": "Mono3DRefer",
        "scene_name": "006013_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [693.65, 183.9, 759.7, 230.14], \"bbox_3d\": [1.46, 1.75, 4.23, 4.04, 1.87, 25.54], \"ry\": 1.57}]\n```"
            }
        ]
    },
    {
        "id": 386,
        "data_source": "Mono3DRefer",
        "scene_name": "006058",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.72, \"bbox_2d\": [220.01, 173.91, 364.12, 234.75], \"bbox_3d\": [1.61, 1.57, 3.35, -8.91, 1.67, 20.29], \"ry\": -3.13}, {\"label\": \"car\", \"angle\": 1.35, \"bbox_2d\": [684.76, 161.42, 741.59, 202.24], \"bbox_3d\": [1.79, 1.72, 4.35, 4.76, 1.31, 34.09], \"ry\": 1.49}, {\"label\": \"car\", \"angle\": 1.6, \"bbox_2d\": [531.01, 173.87, 564.05, 205.66], \"bbox_3d\": [1.45, 1.49, 4.07, -3.04, 1.52, 35.25], \"ry\": 1.51}]\n```"
            }
        ]
    },
    {
        "id": 387,
        "data_source": "Mono3DRefer",
        "scene_name": "006058_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.42, \"bbox_2d\": [877.88, 173.91, 1021.99, 234.75], \"bbox_3d\": [1.61, 1.57, 3.35, 9.49, 1.67, 20.29], \"ry\": -0.01}, {\"label\": \"car\", \"angle\": 1.79, \"bbox_2d\": [500.41, 161.42, 557.24, 202.24], \"bbox_3d\": [1.79, 1.72, 4.35, -3.74, 1.31, 34.09], \"ry\": 1.65}, {\"label\": \"car\", \"angle\": 1.54, \"bbox_2d\": [677.95, 173.87, 710.99, 205.66], \"bbox_3d\": [1.45, 1.49, 4.07, 4.1, 1.52, 35.25], \"ry\": 1.63}]\n```"
            }
        ]
    },
    {
        "id": 388,
        "data_source": "Mono3DRefer",
        "scene_name": "006195",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.1, \"bbox_2d\": [784.05, 165.58, 1241.0, 374.0], \"bbox_3d\": [1.72, 1.67, 4.42, 2.97, 1.71, 6.01], \"ry\": -1.66}, {\"label\": \"car\", \"angle\": 1.77, \"bbox_2d\": [303.75, 196.31, 471.58, 324.01], \"bbox_3d\": [1.44, 1.56, 3.84, -3.1, 1.83, 10.66], \"ry\": 1.49}, {\"label\": \"car\", \"angle\": -1.54, \"bbox_2d\": [481.52, 182.84, 526.8, 226.35], \"bbox_3d\": [1.5, 1.55, 4.21, -4.01, 1.9, 27.52], \"ry\": -1.68}, {\"label\": \"car\", \"angle\": -1.68, \"bbox_2d\": [621.22, 175.17, 675.36, 226.56], \"bbox_3d\": [1.82, 1.65, 3.67, 1.37, 1.93, 27.63], \"ry\": -1.63}]\n```"
            }
        ]
    },
    {
        "id": 389,
        "data_source": "Mono3DRefer",
        "scene_name": "006195_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.04, \"bbox_2d\": [1.0, 165.58, 457.95, 374.0], \"bbox_3d\": [1.72, 1.67, 4.42, -2.84, 1.71, 6.01], \"ry\": -1.48}, {\"label\": \"car\", \"angle\": 1.37, \"bbox_2d\": [770.42, 196.31, 938.25, 324.01], \"bbox_3d\": [1.44, 1.56, 3.84, 3.38, 1.83, 10.66], \"ry\": 1.65}, {\"label\": \"car\", \"angle\": -1.6, \"bbox_2d\": [715.2, 182.84, 760.48, 226.35], \"bbox_3d\": [1.5, 1.55, 4.21, 4.82, 1.9, 27.52], \"ry\": -1.46}, {\"label\": \"car\", \"angle\": -1.46, \"bbox_2d\": [566.64, 175.17, 620.78, 226.56], \"bbox_3d\": [1.82, 1.65, 3.67, -0.56, 1.93, 27.63], \"ry\": -1.51}]\n```"
            }
        ]
    },
    {
        "id": 390,
        "data_source": "Mono3DRefer",
        "scene_name": "006244",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.59, \"bbox_2d\": [49.07, 191.12, 88.29, 220.48], \"bbox_3d\": [1.45, 1.62, 3.83, -29.18, 2.46, 38.92], \"ry\": 0.95}]\n```"
            }
        ]
    },
    {
        "id": 391,
        "data_source": "Mono3DRefer",
        "scene_name": "006244_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.55, \"bbox_2d\": [1153.71, 191.12, 1192.93, 220.48], \"bbox_3d\": [1.45, 1.62, 3.83, 30.35, 2.46, 38.92], \"ry\": 2.19}]\n```"
            }
        ]
    },
    {
        "id": 392,
        "data_source": "Mono3DRefer",
        "scene_name": "006266",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.94, \"bbox_2d\": [152.02, 181.37, 438.03, 346.63], \"bbox_3d\": [1.48, 1.64, 3.95, -3.38, 1.59, 8.51], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.85, \"bbox_2d\": [738.62, 190.97, 987.03, 343.04], \"bbox_3d\": [1.35, 1.64, 3.84, 2.66, 1.61, 8.68], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [668.98, 178.62, 754.6, 239.22], \"bbox_3d\": [1.42, 1.59, 4.19, 2.54, 1.59, 19.18], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [440.99, 175.91, 519.59, 233.96], \"bbox_3d\": [1.42, 1.64, 3.63, -3.48, 1.52, 19.68], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": -1.68, \"bbox_2d\": [658.49, 178.8, 716.64, 222.05], \"bbox_3d\": [1.38, 1.58, 3.66, 2.59, 1.6, 25.07], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [648.17, 173.81, 697.17, 211.08], \"bbox_3d\": [1.42, 1.6, 3.78, 2.48, 1.48, 29.67], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 393,
        "data_source": "Mono3DRefer",
        "scene_name": "006266_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.2, \"bbox_2d\": [803.97, 181.37, 1089.98, 346.63], \"bbox_3d\": [1.48, 1.64, 3.95, 3.59, 1.59, 8.51], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.29, \"bbox_2d\": [254.97, 190.97, 503.38, 343.04], \"bbox_3d\": [1.35, 1.64, 3.84, -2.45, 1.61, 8.68], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [487.4, 178.62, 573.02, 239.22], \"bbox_3d\": [1.42, 1.59, 4.19, -1.99, 1.59, 19.18], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [722.41, 175.91, 801.01, 233.96], \"bbox_3d\": [1.42, 1.64, 3.63, 4.04, 1.52, 19.68], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": -1.46, \"bbox_2d\": [525.36, 178.8, 583.51, 222.05], \"bbox_3d\": [1.38, 1.58, 3.66, -1.86, 1.6, 25.07], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [544.83, 173.81, 593.83, 211.08], \"bbox_3d\": [1.42, 1.6, 3.78, -1.6, 1.48, 29.67], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 394,
        "data_source": "Mono3DRefer",
        "scene_name": "006269",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.0, \"bbox_2d\": [0.0, 196.28, 365.13, 374.0], \"bbox_3d\": [1.46, 1.63, 4.47, -3.11, 1.68, 4.99], \"ry\": 1.47}, {\"label\": \"car\", \"angle\": 1.81, \"bbox_2d\": [379.73, 162.63, 512.33, 251.86], \"bbox_3d\": [1.7, 1.82, 4.45, -3.5, 1.53, 16.08], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -1.31, \"bbox_2d\": [647.99, 166.6, 692.62, 199.63], \"bbox_3d\": [1.57, 1.56, 2.62, 3.0, 1.29, 35.87], \"ry\": -1.22}]\n```"
            }
        ]
    },
    {
        "id": 395,
        "data_source": "Mono3DRefer",
        "scene_name": "006269_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.14, \"bbox_2d\": [876.87, 196.28, 1242.0, 374.0], \"bbox_3d\": [1.46, 1.63, 4.47, 3.21, 1.68, 4.99], \"ry\": 1.67}, {\"label\": \"car\", \"angle\": 1.33, \"bbox_2d\": [729.67, 162.63, 862.27, 251.86], \"bbox_3d\": [1.7, 1.82, 4.45, 3.95, 1.53, 16.08], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -1.83, \"bbox_2d\": [549.38, 166.6, 594.01, 199.63], \"bbox_3d\": [1.57, 1.56, 2.62, -1.92, 1.29, 35.87], \"ry\": -1.92}]\n```"
            }
        ]
    },
    {
        "id": 396,
        "data_source": "Mono3DRefer",
        "scene_name": "006275",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.79, \"bbox_2d\": [320.28, 182.94, 465.77, 278.61], \"bbox_3d\": [1.45, 1.64, 4.21, -3.83, 1.65, 13.31], \"ry\": 1.51}, {\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [640.26, 173.9, 702.17, 227.16], \"bbox_3d\": [1.62, 1.58, 3.89, 1.92, 1.68, 24.07], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [481.75, 177.25, 537.23, 214.48], \"bbox_3d\": [1.45, 1.67, 4.43, -4.22, 1.66, 30.65], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [622.7, 178.36, 673.84, 215.08], \"bbox_3d\": [1.47, 1.59, 3.62, 1.55, 1.72, 31.03], \"ry\": -1.69}]\n```"
            }
        ]
    },
    {
        "id": 397,
        "data_source": "Mono3DRefer",
        "scene_name": "006275_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.35, \"bbox_2d\": [776.23, 182.94, 921.72, 278.61], \"bbox_3d\": [1.45, 1.64, 4.21, 4.19, 1.65, 13.31], \"ry\": 1.63}, {\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [539.83, 173.9, 601.74, 227.16], \"bbox_3d\": [1.62, 1.58, 3.89, -1.22, 1.68, 24.07], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [704.77, 177.25, 760.25, 214.48], \"bbox_3d\": [1.45, 1.67, 4.43, 5.13, 1.66, 30.65], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [568.16, 178.36, 619.3, 215.08], \"bbox_3d\": [1.47, 1.59, 3.62, -0.63, 1.72, 31.03], \"ry\": -1.45}]\n```"
            }
        ]
    },
    {
        "id": 398,
        "data_source": "Mono3DRefer",
        "scene_name": "006332",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.77, \"bbox_2d\": [695.47, 204.62, 771.7, 233.67], \"bbox_3d\": [1.37, 1.56, 4.19, 6.77, 3.18, 39.53], \"ry\": -0.6}]\n```"
            }
        ]
    },
    {
        "id": 399,
        "data_source": "Mono3DRefer",
        "scene_name": "006332_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.37, \"bbox_2d\": [470.3, 204.62, 546.53, 233.67], \"bbox_3d\": [1.37, 1.56, 4.19, -5.58, 3.18, 39.53], \"ry\": -2.54}]\n```"
            }
        ]
    },
    {
        "id": 400,
        "data_source": "Mono3DRefer",
        "scene_name": "006349",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [659.68, 187.82, 698.89, 218.06], \"bbox_3d\": [1.41, 1.58, 4.36, 3.49, 2.21, 37.26], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 401,
        "data_source": "Mono3DRefer",
        "scene_name": "006349_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [543.11, 187.82, 582.32, 218.06], \"bbox_3d\": [1.41, 1.58, 4.36, -2.37, 2.21, 37.26], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 402,
        "data_source": "Mono3DRefer",
        "scene_name": "006370",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.83, \"bbox_2d\": [689.71, 169.97, 901.56, 308.68], \"bbox_3d\": [1.49, 1.64, 4.17, 2.21, 1.49, 9.94], \"ry\": -1.62}, {\"label\": \"car\", \"angle\": -2.52, \"bbox_2d\": [0.0, 185.65, 230.92, 271.81], \"bbox_3d\": [1.47, 1.58, 3.55, -9.29, 1.73, 13.41], \"ry\": -3.12}, {\"label\": \"car\", \"angle\": -1.5, \"bbox_2d\": [473.68, 172.4, 537.23, 226.8], \"bbox_3d\": [1.6, 1.75, 3.89, -3.34, 1.61, 23.42], \"ry\": -1.64}, {\"label\": \"car\", \"angle\": -1.77, \"bbox_2d\": [640.21, 171.6, 719.72, 228.76], \"bbox_3d\": [1.59, 1.64, 4.03, 2.02, 1.59, 22.34], \"ry\": -1.68}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [516.27, 174.68, 557.41, 204.68], \"bbox_3d\": [1.46, 1.56, 3.21, -3.75, 1.58, 37.15], \"ry\": -1.5}, {\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [620.89, 167.09, 655.37, 202.92], \"bbox_3d\": [1.83, 1.75, 4.52, 1.48, 1.56, 39.36], \"ry\": -1.54}]\n```"
            }
        ]
    },
    {
        "id": 403,
        "data_source": "Mono3DRefer",
        "scene_name": "006370_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.31, \"bbox_2d\": [340.44, 169.97, 552.29, 308.68], \"bbox_3d\": [1.49, 1.64, 4.17, -1.96, 1.49, 9.94], \"ry\": -1.52}, {\"label\": \"car\", \"angle\": -0.62, \"bbox_2d\": [1011.08, 185.65, 1242.0, 271.81], \"bbox_3d\": [1.47, 1.58, 3.55, 9.65, 1.73, 13.41], \"ry\": -0.02}, {\"label\": \"car\", \"angle\": -1.64, \"bbox_2d\": [704.77, 172.4, 768.32, 226.8], \"bbox_3d\": [1.6, 1.75, 3.89, 4.02, 1.61, 23.42], \"ry\": -1.5}, {\"label\": \"car\", \"angle\": -1.37, \"bbox_2d\": [522.28, 171.6, 601.79, 228.76], \"bbox_3d\": [1.59, 1.64, 4.03, -1.37, 1.59, 22.34], \"ry\": -1.46}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [684.59, 174.68, 725.73, 204.68], \"bbox_3d\": [1.46, 1.56, 3.21, 4.87, 1.58, 37.15], \"ry\": -1.64}, {\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [586.63, 167.09, 621.11, 202.92], \"bbox_3d\": [1.83, 1.75, 4.52, -0.29, 1.56, 39.36], \"ry\": -1.6}]\n```"
            }
        ]
    },
    {
        "id": 404,
        "data_source": "Mono3DRefer",
        "scene_name": "006381",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.13, \"bbox_2d\": [776.26, 135.54, 1084.48, 321.68], \"bbox_3d\": [1.79, 1.72, 4.35, 3.59, 1.45, 9.19], \"ry\": 1.5}, {\"label\": \"car\", \"angle\": 1.9, \"bbox_2d\": [195.86, 199.76, 414.0, 339.2], \"bbox_3d\": [1.45, 1.49, 4.07, -4.05, 1.89, 10.2], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [403.34, 194.2, 489.05, 252.77], \"bbox_3d\": [1.27, 1.54, 3.58, -4.13, 1.86, 18.49], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [450.67, 179.5, 514.95, 231.71], \"bbox_3d\": [1.63, 1.65, 3.91, -4.32, 1.87, 24.79], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": -1.63, \"bbox_2d\": [596.05, 176.8, 626.77, 204.22], \"bbox_3d\": [1.46, 1.53, 3.17, 0.02, 1.7, 40.45], \"ry\": -1.63}]\n```"
            }
        ]
    },
    {
        "id": 405,
        "data_source": "Mono3DRefer",
        "scene_name": "006381_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.01, \"bbox_2d\": [157.52, 135.54, 465.74, 321.68], \"bbox_3d\": [1.79, 1.72, 4.35, -3.36, 1.45, 9.19], \"ry\": 1.64}, {\"label\": \"car\", \"angle\": 1.24, \"bbox_2d\": [828.0, 199.76, 1046.14, 339.2], \"bbox_3d\": [1.45, 1.49, 4.07, 4.31, 1.89, 10.2], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [752.95, 194.2, 838.66, 252.77], \"bbox_3d\": [1.27, 1.54, 3.58, 4.65, 1.86, 18.49], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [727.05, 179.5, 791.33, 231.71], \"bbox_3d\": [1.63, 1.65, 3.91, 5.04, 1.87, 24.79], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": -1.51, \"bbox_2d\": [615.23, 176.8, 645.95, 204.22], \"bbox_3d\": [1.46, 1.53, 3.17, 1.2, 1.7, 40.45], \"ry\": -1.51}]\n```"
            }
        ]
    },
    {
        "id": 406,
        "data_source": "Mono3DRefer",
        "scene_name": "006468",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.59, \"bbox_2d\": [0.0, 181.85, 334.5, 295.24], \"bbox_3d\": [1.46, 1.61, 4.31, -6.48, 1.62, 10.38], \"ry\": -3.14}, {\"label\": \"car\", \"angle\": -2.89, \"bbox_2d\": [206.22, 163.25, 443.53, 255.9], \"bbox_3d\": [1.8, 1.77, 4.41, -5.96, 1.64, 15.42], \"ry\": 3.03}, {\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [676.91, 181.07, 751.12, 235.85], \"bbox_3d\": [1.47, 1.56, 3.55, 2.95, 1.72, 21.35], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": -2.89, \"bbox_2d\": [402.0, 174.57, 488.67, 213.46], \"bbox_3d\": [1.58, 1.54, 3.3, -6.99, 1.67, 30.65], \"ry\": -3.12}, {\"label\": \"car\", \"angle\": 0.2, \"bbox_2d\": [421.99, 173.93, 517.76, 212.27], \"bbox_3d\": [1.68, 1.71, 4.07, -6.44, 1.76, 33.29], \"ry\": 0.01}]\n```"
            }
        ]
    },
    {
        "id": 407,
        "data_source": "Mono3DRefer",
        "scene_name": "006468_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.55, \"bbox_2d\": [907.5, 181.85, 1242.0, 295.24], \"bbox_3d\": [1.46, 1.61, 4.31, 6.75, 1.62, 10.38], \"ry\": -0.0}, {\"label\": \"car\", \"angle\": -0.25, \"bbox_2d\": [798.47, 163.25, 1035.78, 255.9], \"bbox_3d\": [1.8, 1.77, 4.41, 6.39, 1.64, 15.42], \"ry\": 0.11}, {\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [490.88, 181.07, 565.09, 235.85], \"bbox_3d\": [1.47, 1.56, 3.55, -2.34, 1.72, 21.35], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": -0.25, \"bbox_2d\": [753.33, 174.57, 840.0, 213.46], \"bbox_3d\": [1.58, 1.54, 3.3, 7.9, 1.67, 30.65], \"ry\": -0.02}, {\"label\": \"car\", \"angle\": 2.94, \"bbox_2d\": [724.24, 173.93, 820.01, 212.27], \"bbox_3d\": [1.68, 1.71, 4.07, 7.43, 1.76, 33.29], \"ry\": 3.13}]\n```"
            }
        ]
    },
    {
        "id": 408,
        "data_source": "Mono3DRefer",
        "scene_name": "006516",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [1070.92, 176.45, 1173.67, 250.52], \"bbox_3d\": [1.66, 1.56, 3.42, 12.81, 1.76, 18.02], \"ry\": -0.8}, {\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [998.7, 177.77, 1057.07, 208.37], \"bbox_3d\": [1.45, 1.64, 4.21, 21.3, 1.72, 36.75], \"ry\": 2.33}]\n```"
            }
        ]
    },
    {
        "id": 409,
        "data_source": "Mono3DRefer",
        "scene_name": "006516_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [68.33, 176.45, 171.08, 250.52], \"bbox_3d\": [1.66, 1.56, 3.42, -12.3, 1.76, 18.02], \"ry\": -2.34}, {\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [184.93, 177.77, 243.3, 208.37], \"bbox_3d\": [1.45, 1.64, 4.21, -20.2, 1.72, 36.75], \"ry\": 0.81}]\n```"
            }
        ]
    },
    {
        "id": 410,
        "data_source": "Mono3DRefer",
        "scene_name": "006537",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.48, \"bbox_2d\": [939.15, 171.89, 1030.28, 252.09], \"bbox_3d\": [1.66, 1.56, 3.42, 8.73, 1.65, 16.76], \"ry\": -1.0}, {\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [838.33, 177.43, 888.12, 207.98], \"bbox_3d\": [1.45, 1.64, 4.21, 12.89, 1.7, 36.66], \"ry\": 2.09}]\n```"
            }
        ]
    },
    {
        "id": 411,
        "data_source": "Mono3DRefer",
        "scene_name": "006537_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.66, \"bbox_2d\": [211.72, 171.89, 302.85, 252.09], \"bbox_3d\": [1.66, 1.56, 3.42, -8.26, 1.65, 16.76], \"ry\": -2.14}, {\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [353.88, 177.43, 403.67, 207.98], \"bbox_3d\": [1.45, 1.64, 4.21, -11.79, 1.7, 36.66], \"ry\": 1.05}]\n```"
            }
        ]
    },
    {
        "id": 412,
        "data_source": "Mono3DRefer",
        "scene_name": "006563",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.45, \"bbox_2d\": [979.17, 174.72, 1073.42, 251.87], \"bbox_3d\": [1.66, 1.56, 3.42, 10.02, 1.71, 17.33], \"ry\": -0.93}, {\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [889.87, 177.52, 939.42, 208.01], \"bbox_3d\": [1.45, 1.64, 4.21, 15.54, 1.7, 36.76], \"ry\": 2.14}]\n```"
            }
        ]
    },
    {
        "id": 413,
        "data_source": "Mono3DRefer",
        "scene_name": "006563_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.69, \"bbox_2d\": [168.58, 174.72, 262.83, 251.87], \"bbox_3d\": [1.66, 1.56, 3.42, -9.53, 1.71, 17.33], \"ry\": -2.21}, {\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [302.58, 177.52, 352.13, 208.01], \"bbox_3d\": [1.45, 1.64, 4.21, -14.44, 1.7, 36.76], \"ry\": 1.0}]\n```"
            }
        ]
    },
    {
        "id": 414,
        "data_source": "Mono3DRefer",
        "scene_name": "006576",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.69, \"bbox_2d\": [422.22, 194.51, 481.8, 237.57], \"bbox_3d\": [1.27, 1.54, 3.58, -5.34, 2.05, 24.54], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": 1.67, \"bbox_2d\": [449.39, 180.71, 497.03, 221.3], \"bbox_3d\": [1.63, 1.65, 3.91, -5.91, 1.98, 31.36], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": 1.28, \"bbox_2d\": [682.77, 163.45, 822.05, 259.89], \"bbox_3d\": [1.79, 1.72, 4.35, 2.87, 1.64, 15.73], \"ry\": 1.46}, {\"label\": \"car\", \"angle\": 1.76, \"bbox_2d\": [337.3, 192.76, 443.89, 271.09], \"bbox_3d\": [1.45, 1.49, 4.07, -4.82, 1.94, 16.2], \"ry\": 1.48}]\n```"
            }
        ]
    },
    {
        "id": 415,
        "data_source": "Mono3DRefer",
        "scene_name": "006576_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.45, \"bbox_2d\": [760.2, 194.51, 819.78, 237.57], \"bbox_3d\": [1.27, 1.54, 3.58, 6.06, 2.05, 24.54], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": 1.47, \"bbox_2d\": [744.97, 180.71, 792.61, 221.3], \"bbox_3d\": [1.63, 1.65, 3.91, 6.84, 1.98, 31.36], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": 1.86, \"bbox_2d\": [419.95, 163.45, 559.23, 259.89], \"bbox_3d\": [1.79, 1.72, 4.35, -2.43, 1.64, 15.73], \"ry\": 1.68}, {\"label\": \"car\", \"angle\": 1.38, \"bbox_2d\": [798.11, 192.76, 904.7, 271.09], \"bbox_3d\": [1.45, 1.49, 4.07, 5.27, 1.94, 16.2], \"ry\": 1.66}]\n```"
            }
        ]
    },
    {
        "id": 416,
        "data_source": "Mono3DRefer",
        "scene_name": "006588",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.07, \"bbox_2d\": [927.91, 161.88, 1241.0, 374.0], \"bbox_3d\": [1.49, 1.64, 4.17, 3.35, 1.45, 4.29], \"ry\": -1.44}, {\"label\": \"car\", \"angle\": -2.32, \"bbox_2d\": [0.0, 197.84, 222.43, 327.23], \"bbox_3d\": [1.47, 1.58, 3.55, -7.29, 1.83, 9.5], \"ry\": -2.96}, {\"label\": \"car\", \"angle\": -1.51, \"bbox_2d\": [564.37, 171.81, 642.47, 242.14], \"bbox_3d\": [1.6, 1.75, 3.89, -0.11, 1.6, 18.48], \"ry\": -1.52}, {\"label\": \"car\", \"angle\": -1.84, \"bbox_2d\": [777.88, 170.55, 903.1, 249.95], \"bbox_3d\": [1.59, 1.64, 4.03, 5.09, 1.57, 16.6], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [757.58, 170.06, 840.85, 222.7], \"bbox_3d\": [1.5, 1.8, 4.5, 5.86, 1.45, 23.01], \"ry\": -1.49}, {\"label\": \"car\", \"angle\": -1.48, \"bbox_2d\": [626.99, 174.61, 668.98, 209.57], \"bbox_3d\": [1.46, 1.56, 3.21, 1.7, 1.56, 32.04], \"ry\": -1.43}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [746.06, 162.59, 790.61, 205.25], \"bbox_3d\": [1.83, 1.75, 4.52, 7.22, 1.41, 33.37], \"ry\": -1.41}]\n```"
            }
        ]
    },
    {
        "id": 417,
        "data_source": "Mono3DRefer",
        "scene_name": "006588_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.07, \"bbox_2d\": [1.0, 161.88, 314.09, 374.0], \"bbox_3d\": [1.49, 1.64, 4.17, -3.28, 1.45, 4.29], \"ry\": -1.7}, {\"label\": \"car\", \"angle\": -0.82, \"bbox_2d\": [1019.57, 197.84, 1242.0, 327.23], \"bbox_3d\": [1.47, 1.58, 3.55, 7.53, 1.83, 9.5], \"ry\": -0.18}, {\"label\": \"car\", \"angle\": -1.63, \"bbox_2d\": [599.53, 171.81, 677.63, 242.14], \"bbox_3d\": [1.6, 1.75, 3.89, 0.63, 1.6, 18.48], \"ry\": -1.62}, {\"label\": \"car\", \"angle\": -1.3, \"bbox_2d\": [338.9, 170.55, 464.12, 249.95], \"bbox_3d\": [1.59, 1.64, 4.03, -4.63, 1.57, 16.6], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [401.15, 170.06, 484.42, 222.7], \"bbox_3d\": [1.5, 1.8, 4.5, -5.19, 1.45, 23.01], \"ry\": -1.65}, {\"label\": \"car\", \"angle\": -1.66, \"bbox_2d\": [573.02, 174.61, 615.01, 209.57], \"bbox_3d\": [1.46, 1.56, 3.21, -0.75, 1.56, 32.04], \"ry\": -1.71}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [451.39, 162.59, 495.94, 205.25], \"bbox_3d\": [1.83, 1.75, 4.52, -6.22, 1.41, 33.37], \"ry\": -1.73}]\n```"
            }
        ]
    },
    {
        "id": 418,
        "data_source": "Mono3DRefer",
        "scene_name": "006595",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.3, \"bbox_2d\": [0.0, 215.12, 142.59, 374.0], \"bbox_3d\": [1.42, 1.54, 3.5, -6.06, 1.88, 6.33], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": -1.86, \"bbox_2d\": [745.32, 173.39, 972.74, 314.08], \"bbox_3d\": [1.51, 1.75, 3.78, 3.02, 1.55, 9.74], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 2.04, \"bbox_2d\": [122.91, 198.49, 343.14, 305.15], \"bbox_3d\": [1.36, 1.51, 4.02, -6.01, 1.85, 11.99], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.85, \"bbox_2d\": [342.35, 179.51, 445.57, 249.13], \"bbox_3d\": [1.74, 1.65, 4.11, -5.95, 1.94, 20.23], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.66, \"bbox_2d\": [546.43, 177.49, 577.81, 199.27], \"bbox_3d\": [1.41, 1.76, 4.4, -3.25, 1.74, 49.4], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": 1.81, \"bbox_2d\": [407.45, 178.1, 478.19, 225.51], \"bbox_3d\": [1.61, 1.64, 4.0, -6.14, 1.82, 26.74], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [467.99, 182.01, 513.01, 211.5], \"bbox_3d\": [1.43, 1.7, 3.74, -6.19, 1.92, 37.53], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [638.68, 173.97, 661.69, 193.75], \"bbox_3d\": [1.55, 1.66, 4.15, 3.24, 1.67, 59.13], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 2.98, \"bbox_2d\": [696.92, 167.59, 765.66, 189.09], \"bbox_3d\": [1.47, 1.7, 4.65, 8.68, 1.13, 51.96], \"ry\": -3.14}]\n```"
            }
        ]
    },
    {
        "id": 419,
        "data_source": "Mono3DRefer",
        "scene_name": "006595_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 0.84, \"bbox_2d\": [1099.41, 215.12, 1242.0, 374.0], \"bbox_3d\": [1.42, 1.54, 3.5, 6.2, 1.88, 6.33], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": -1.28, \"bbox_2d\": [269.26, 173.39, 496.68, 314.08], \"bbox_3d\": [1.51, 1.75, 3.78, -2.77, 1.55, 9.74], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.1, \"bbox_2d\": [898.86, 198.49, 1119.09, 305.15], \"bbox_3d\": [1.36, 1.51, 4.02, 6.33, 1.85, 11.99], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.29, \"bbox_2d\": [796.43, 179.51, 899.65, 249.13], \"bbox_3d\": [1.74, 1.65, 4.11, 6.53, 1.94, 20.23], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": 1.48, \"bbox_2d\": [664.19, 177.49, 695.57, 199.27], \"bbox_3d\": [1.41, 1.76, 4.4, 4.75, 1.74, 49.4], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": 1.33, \"bbox_2d\": [763.81, 178.1, 834.55, 225.51], \"bbox_3d\": [1.61, 1.64, 4.0, 6.93, 1.82, 26.74], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [728.99, 182.01, 774.01, 211.5], \"bbox_3d\": [1.43, 1.7, 3.74, 7.32, 1.92, 37.53], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [580.31, 173.97, 603.32, 193.75], \"bbox_3d\": [1.55, 1.66, 4.15, -1.43, 1.67, 59.13], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 0.16, \"bbox_2d\": [476.34, 167.59, 545.08, 189.09], \"bbox_3d\": [1.47, 1.7, 4.65, -7.09, 1.13, 51.96], \"ry\": -0.0}]\n```"
            }
        ]
    },
    {
        "id": 420,
        "data_source": "Mono3DRefer",
        "scene_name": "006618",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.24, \"bbox_2d\": [863.4, 191.83, 1241.0, 374.0], \"bbox_3d\": [1.56, 1.57, 3.98, 2.7, 1.69, 3.38], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": -2.8, \"bbox_2d\": [319.39, 176.08, 428.54, 223.66], \"bbox_3d\": [1.61, 1.57, 3.35, -8.39, 1.75, 25.71], \"ry\": -3.11}, {\"label\": \"car\", \"angle\": 1.37, \"bbox_2d\": [691.86, 166.73, 739.73, 201.91], \"bbox_3d\": [1.79, 1.72, 4.35, 5.65, 1.51, 39.21], \"ry\": 1.51}, {\"label\": \"car\", \"angle\": 1.58, \"bbox_2d\": [559.93, 177.36, 588.27, 204.85], \"bbox_3d\": [1.45, 1.49, 4.07, -2.03, 1.72, 40.47], \"ry\": 1.53}]\n```"
            }
        ]
    },
    {
        "id": 421,
        "data_source": "Mono3DRefer",
        "scene_name": "006618_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.9, \"bbox_2d\": [1.0, 191.83, 378.6, 374.0], \"bbox_3d\": [1.56, 1.57, 3.98, -2.65, 1.69, 3.38], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": -0.34, \"bbox_2d\": [813.46, 176.08, 922.61, 223.66], \"bbox_3d\": [1.61, 1.57, 3.35, 9.14, 1.75, 25.71], \"ry\": -0.03}, {\"label\": \"car\", \"angle\": 1.77, \"bbox_2d\": [502.27, 166.73, 550.14, 201.91], \"bbox_3d\": [1.79, 1.72, 4.35, -4.47, 1.51, 39.21], \"ry\": 1.63}, {\"label\": \"car\", \"angle\": 1.56, \"bbox_2d\": [653.73, 177.36, 682.07, 204.85], \"bbox_3d\": [1.45, 1.49, 4.07, 3.25, 1.72, 40.47], \"ry\": 1.61}]\n```"
            }
        ]
    },
    {
        "id": 422,
        "data_source": "Mono3DRefer",
        "scene_name": "006623",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.58, \"bbox_2d\": [588.73, 174.32, 615.86, 201.14], \"bbox_3d\": [1.65, 1.67, 3.64, -0.54, 1.77, 46.67], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.37, \"bbox_2d\": [384.14, 177.41, 518.37, 281.26], \"bbox_3d\": [1.61, 1.51, 4.5, -2.82, 1.72, 13.57], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 2.04, \"bbox_2d\": [138.21, 189.88, 258.03, 249.19], \"bbox_3d\": [1.61, 1.72, 3.65, -12.59, 2.17, 22.24], \"ry\": 1.53}]\n```"
            }
        ]
    },
    {
        "id": 423,
        "data_source": "Mono3DRefer",
        "scene_name": "006623_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.56, \"bbox_2d\": [626.14, 174.32, 653.27, 201.14], \"bbox_3d\": [1.65, 1.67, 3.64, 1.96, 1.77, 46.67], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.77, \"bbox_2d\": [723.63, 177.41, 857.86, 281.26], \"bbox_3d\": [1.61, 1.51, 4.5, 3.19, 1.72, 13.57], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": 1.1, \"bbox_2d\": [983.97, 189.88, 1103.79, 249.19], \"bbox_3d\": [1.61, 1.72, 3.65, 13.23, 2.17, 22.24], \"ry\": 1.61}]\n```"
            }
        ]
    },
    {
        "id": 424,
        "data_source": "Mono3DRefer",
        "scene_name": "006677",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [462.72, 191.78, 529.56, 244.42], \"bbox_3d\": [1.5, 1.62, 4.19, -3.7, 2.17, 23.83], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 425,
        "data_source": "Mono3DRefer",
        "scene_name": "006677_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [712.44, 191.78, 779.28, 244.42], \"bbox_3d\": [1.5, 1.62, 4.19, 4.39, 2.17, 23.83], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 426,
        "data_source": "Mono3DRefer",
        "scene_name": "006678",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.66, \"bbox_2d\": [636.08, 183.08, 681.65, 215.49], \"bbox_3d\": [1.32, 1.63, 4.1, 2.08, 1.79, 32.13], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 0.25, \"bbox_2d\": [359.24, 178.91, 490.67, 226.19], \"bbox_3d\": [1.58, 1.56, 4.25, -6.52, 1.82, 25.54], \"ry\": -0.0}, {\"label\": \"car\", \"angle\": -2.79, \"bbox_2d\": [241.2, 185.19, 428.66, 253.22], \"bbox_3d\": [1.5, 1.58, 3.88, -6.52, 1.82, 17.26], \"ry\": 3.13}, {\"label\": \"car\", \"angle\": -0.35, \"bbox_2d\": [755.6, 181.48, 938.28, 248.35], \"bbox_3d\": [1.5, 1.62, 3.88, 5.63, 1.73, 17.53], \"ry\": -0.04}, {\"label\": \"car\", \"angle\": -2.72, \"bbox_2d\": [166.27, 185.85, 393.69, 262.86], \"bbox_3d\": [1.44, 1.55, 3.94, -6.68, 1.73, 14.76], \"ry\": -3.14}, {\"label\": \"car\", \"angle\": -2.73, \"bbox_2d\": [63.52, 169.61, 362.2, 285.2], \"bbox_3d\": [1.77, 1.68, 4.12, -6.6, 1.75, 12.26], \"ry\": 3.07}, {\"label\": \"car\", \"angle\": 0.57, \"bbox_2d\": [0.0, 187.56, 331.01, 314.76], \"bbox_3d\": [1.51, 1.59, 4.28, -6.23, 1.74, 9.63], \"ry\": 0.01}, {\"label\": \"car\", \"angle\": 0.7, \"bbox_2d\": [0.0, 194.7, 267.4, 364.76], \"bbox_3d\": [1.5, 1.49, 3.86, -5.8, 1.75, 7.3], \"ry\": 0.04}, {\"label\": \"car\", \"angle\": -0.73, \"bbox_2d\": [995.9, 182.48, 1241.0, 347.94], \"bbox_3d\": [1.55, 1.58, 3.51, 6.32, 1.67, 7.83], \"ry\": -0.07}, {\"label\": \"car\", \"angle\": -0.93, \"bbox_2d\": [1147.45, 197.87, 1241.0, 374.0], \"bbox_3d\": [1.4, 1.59, 3.49, 6.37, 1.6, 5.53], \"ry\": -0.1}]\n```"
            }
        ]
    },
    {
        "id": 427,
        "data_source": "Mono3DRefer",
        "scene_name": "006678_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.48, \"bbox_2d\": [560.35, 183.08, 605.92, 215.49], \"bbox_3d\": [1.32, 1.63, 4.1, -1.12, 1.79, 32.13], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 2.89, \"bbox_2d\": [751.33, 178.91, 882.76, 226.19], \"bbox_3d\": [1.58, 1.56, 4.25, 7.27, 1.82, 25.54], \"ry\": 3.14}, {\"label\": \"car\", \"angle\": -0.35, \"bbox_2d\": [813.34, 185.19, 1000.8, 253.22], \"bbox_3d\": [1.5, 1.58, 3.88, 7.01, 1.82, 17.26], \"ry\": 0.01}, {\"label\": \"car\", \"angle\": -2.79, \"bbox_2d\": [303.72, 181.48, 486.4, 248.35], \"bbox_3d\": [1.5, 1.62, 3.88, -5.14, 1.73, 17.53], \"ry\": -3.1}, {\"label\": \"car\", \"angle\": -0.42, \"bbox_2d\": [848.31, 185.85, 1075.73, 262.86], \"bbox_3d\": [1.44, 1.55, 3.94, 7.09, 1.73, 14.76], \"ry\": -0.0}, {\"label\": \"car\", \"angle\": -0.41, \"bbox_2d\": [879.8, 169.61, 1178.48, 285.2], \"bbox_3d\": [1.77, 1.68, 4.12, 6.93, 1.75, 12.26], \"ry\": 0.07}, {\"label\": \"car\", \"angle\": 2.57, \"bbox_2d\": [910.99, 187.56, 1242.0, 314.76], \"bbox_3d\": [1.51, 1.59, 4.28, 6.47, 1.74, 9.63], \"ry\": 3.13}, {\"label\": \"car\", \"angle\": 2.44, \"bbox_2d\": [974.6, 194.7, 1242.0, 364.76], \"bbox_3d\": [1.5, 1.49, 3.86, 5.97, 1.75, 7.3], \"ry\": 3.1}, {\"label\": \"car\", \"angle\": -2.41, \"bbox_2d\": [1.0, 182.48, 246.1, 347.94], \"bbox_3d\": [1.55, 1.58, 3.51, -6.13, 1.67, 7.83], \"ry\": -3.07}, {\"label\": \"car\", \"angle\": -2.21, \"bbox_2d\": [1.0, 197.87, 94.55, 374.0], \"bbox_3d\": [1.4, 1.59, 3.49, -6.26, 1.6, 5.53], \"ry\": -3.04}]\n```"
            }
        ]
    },
    {
        "id": 428,
        "data_source": "Mono3DRefer",
        "scene_name": "006732",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.77, \"bbox_2d\": [377.18, 190.5, 544.45, 310.79], \"bbox_3d\": [1.44, 1.67, 3.88, -2.1, 1.74, 10.98], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 429,
        "data_source": "Mono3DRefer",
        "scene_name": "006732_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.37, \"bbox_2d\": [697.55, 190.5, 864.82, 310.79], \"bbox_3d\": [1.44, 1.67, 3.88, 2.39, 1.74, 10.98], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 430,
        "data_source": "Mono3DRefer",
        "scene_name": "006772",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.96, \"bbox_2d\": [797.03, 195.79, 1158.56, 374.0], \"bbox_3d\": [1.51, 1.56, 3.81, 3.05, 1.78, 7.0], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.83, \"bbox_2d\": [720.87, 182.78, 885.86, 294.98], \"bbox_3d\": [1.57, 1.68, 3.83, 3.02, 1.76, 12.24], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": 1.63, \"bbox_2d\": [487.57, 178.84, 539.54, 228.0], \"bbox_3d\": [1.52, 1.5, 3.85, -3.24, 1.73, 24.46], \"ry\": 1.5}, {\"label\": \"car\", \"angle\": -1.68, \"bbox_2d\": [659.6, 180.57, 707.45, 216.9], \"bbox_3d\": [1.43, 1.59, 3.68, 3.01, 1.76, 30.51], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": 1.63, \"bbox_2d\": [523.85, 180.98, 559.72, 207.8], \"bbox_3d\": [1.29, 1.59, 4.12, -3.52, 1.73, 37.4], \"ry\": 1.54}]\n```"
            }
        ]
    },
    {
        "id": 431,
        "data_source": "Mono3DRefer",
        "scene_name": "006772_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.18, \"bbox_2d\": [83.44, 195.79, 444.97, 374.0], \"bbox_3d\": [1.51, 1.56, 3.81, -2.89, 1.78, 7.0], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.31, \"bbox_2d\": [356.14, 182.78, 521.13, 294.98], \"bbox_3d\": [1.57, 1.68, 3.83, -2.69, 1.76, 12.24], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": 1.51, \"bbox_2d\": [702.46, 178.84, 754.43, 228.0], \"bbox_3d\": [1.52, 1.5, 3.85, 3.95, 1.73, 24.46], \"ry\": 1.64}, {\"label\": \"car\", \"angle\": -1.46, \"bbox_2d\": [534.55, 180.57, 582.4, 216.9], \"bbox_3d\": [1.43, 1.59, 3.68, -2.1, 1.76, 30.51], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": 1.51, \"bbox_2d\": [682.28, 180.98, 718.15, 207.8], \"bbox_3d\": [1.29, 1.59, 4.12, 4.64, 1.73, 37.4], \"ry\": 1.6}]\n```"
            }
        ]
    },
    {
        "id": 432,
        "data_source": "Mono3DRefer",
        "scene_name": "006797",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.75, \"bbox_2d\": [507.02, 182.98, 566.22, 223.71], \"bbox_3d\": [1.5, 1.7, 3.77, -2.92, 1.93, 29.05], \"ry\": 1.65}]\n```"
            }
        ]
    },
    {
        "id": 433,
        "data_source": "Mono3DRefer",
        "scene_name": "006797_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.39, \"bbox_2d\": [675.78, 182.98, 734.98, 223.71], \"bbox_3d\": [1.5, 1.7, 3.77, 3.78, 1.93, 29.05], \"ry\": 1.49}]\n```"
            }
        ]
    },
    {
        "id": 434,
        "data_source": "Mono3DRefer",
        "scene_name": "006806",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [337.96, 192.16, 468.18, 282.91], \"bbox_3d\": [1.39, 1.48, 3.76, -3.76, 1.79, 13.55], \"ry\": 1.53}, {\"label\": \"car\", \"angle\": 1.64, \"bbox_2d\": [519.67, 177.51, 559.76, 207.82], \"bbox_3d\": [1.46, 1.75, 4.23, -3.61, 1.72, 37.37], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 435,
        "data_source": "Mono3DRefer",
        "scene_name": "006806_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [773.82, 192.16, 904.04, 282.91], \"bbox_3d\": [1.39, 1.48, 3.76, 4.13, 1.79, 13.55], \"ry\": 1.61}, {\"label\": \"car\", \"angle\": 1.5, \"bbox_2d\": [682.24, 177.51, 722.33, 207.82], \"bbox_3d\": [1.46, 1.75, 4.23, 4.73, 1.72, 37.37], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 436,
        "data_source": "Mono3DRefer",
        "scene_name": "006816",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.65, \"bbox_2d\": [654.25, 184.75, 686.93, 210.39], \"bbox_3d\": [1.41, 1.58, 4.36, 3.54, 2.14, 43.01], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 437,
        "data_source": "Mono3DRefer",
        "scene_name": "006816_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.49, \"bbox_2d\": [555.07, 184.75, 587.75, 210.39], \"bbox_3d\": [1.41, 1.58, 4.36, -2.24, 2.14, 43.01], \"ry\": -1.57}]\n```"
            }
        ]
    },
    {
        "id": 438,
        "data_source": "Mono3DRefer",
        "scene_name": "006822",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.37, \"bbox_2d\": [389.28, 195.86, 531.07, 288.8], \"bbox_3d\": [1.33, 1.71, 4.09, -2.59, 1.81, 13.21], \"ry\": -1.56}, {\"label\": \"car\", \"angle\": -1.7, \"bbox_2d\": [664.64, 178.24, 722.08, 221.74], \"bbox_3d\": [1.49, 1.56, 4.34, 3.02, 1.71, 27.18], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.43, \"bbox_2d\": [487.55, 187.62, 556.85, 240.73], \"bbox_3d\": [1.42, 1.53, 4.12, -2.64, 1.91, 22.18], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.76, \"bbox_2d\": [703.73, 175.89, 821.88, 266.37], \"bbox_3d\": [1.59, 1.59, 3.89, 2.93, 1.68, 14.79], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [645.24, 179.75, 673.52, 203.49], \"bbox_3d\": [1.38, 1.64, 3.51, 3.02, 1.81, 44.02], \"ry\": -1.48}]\n```"
            }
        ]
    },
    {
        "id": 439,
        "data_source": "Mono3DRefer",
        "scene_name": "006822_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.77, \"bbox_2d\": [710.93, 195.86, 852.72, 288.8], \"bbox_3d\": [1.33, 1.71, 4.09, 2.95, 1.81, 13.21], \"ry\": -1.58}, {\"label\": \"car\", \"angle\": -1.44, \"bbox_2d\": [519.92, 178.24, 577.36, 221.74], \"bbox_3d\": [1.49, 1.56, 4.34, -2.22, 1.71, 27.18], \"ry\": -1.55}, {\"label\": \"car\", \"angle\": -1.71, \"bbox_2d\": [685.15, 187.62, 754.45, 240.73], \"bbox_3d\": [1.42, 1.53, 4.12, 3.28, 1.91, 22.18], \"ry\": -1.59}, {\"label\": \"car\", \"angle\": -1.38, \"bbox_2d\": [420.12, 175.89, 538.27, 266.37], \"bbox_3d\": [1.59, 1.59, 3.89, -2.52, 1.68, 14.79], \"ry\": -1.57}, {\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [568.48, 179.75, 596.76, 203.49], \"bbox_3d\": [1.38, 1.64, 3.51, -1.69, 1.81, 44.02], \"ry\": -1.66}]\n```"
            }
        ]
    },
    {
        "id": 440,
        "data_source": "Mono3DRefer",
        "scene_name": "006850",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.84, \"bbox_2d\": [749.28, 165.85, 1060.84, 334.17], \"bbox_3d\": [1.6, 1.57, 3.23, 3.36, 1.54, 8.3], \"ry\": -0.47}, {\"label\": \"car\", \"angle\": 2.05, \"bbox_2d\": [1007.06, 169.11, 1241.0, 302.28], \"bbox_3d\": [1.57, 1.5, 3.68, 7.38, 1.53, 10.03], \"ry\": 2.67}]\n```"
            }
        ]
    },
    {
        "id": 441,
        "data_source": "Mono3DRefer",
        "scene_name": "006850_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.3, \"bbox_2d\": [181.16, 165.85, 492.72, 334.17], \"bbox_3d\": [1.6, 1.57, 3.23, -3.16, 1.54, 8.3], \"ry\": -2.67}, {\"label\": \"car\", \"angle\": 1.09, \"bbox_2d\": [1.0, 169.11, 234.94, 302.28], \"bbox_3d\": [1.57, 1.5, 3.68, -7.12, 1.53, 10.03], \"ry\": 0.47}]\n```"
            }
        ]
    },
    {
        "id": 442,
        "data_source": "Mono3DRefer",
        "scene_name": "006866",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.21, \"bbox_2d\": [889.55, 190.47, 1241.0, 374.0], \"bbox_3d\": [1.45, 1.71, 3.93, 3.33, 1.59, 4.41], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 2.15, \"bbox_2d\": [0.0, 182.76, 326.25, 374.0], \"bbox_3d\": [1.73, 1.65, 3.96, -3.52, 1.81, 4.83], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.92, \"bbox_2d\": [724.0, 156.74, 973.11, 312.78], \"bbox_3d\": [1.78, 1.89, 4.37, 3.08, 1.62, 10.53], \"ry\": -1.65}, {\"label\": \"car\", \"angle\": 1.88, \"bbox_2d\": [224.47, 185.01, 427.41, 341.74], \"bbox_3d\": [1.68, 1.51, 3.29, -3.58, 1.86, 9.56], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": 1.79, \"bbox_2d\": [362.02, 196.46, 475.33, 269.92], \"bbox_3d\": [1.39, 1.66, 4.04, -4.32, 1.99, 16.71], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.71, \"bbox_2d\": [478.46, 182.58, 522.78, 221.67], \"bbox_3d\": [1.86, 1.67, 4.13, -5.56, 2.37, 36.87], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 443,
        "data_source": "Mono3DRefer",
        "scene_name": "006866_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.93, \"bbox_2d\": [1.0, 190.47, 352.45, 374.0], \"bbox_3d\": [1.45, 1.71, 3.93, -3.25, 1.59, 4.41], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 0.99, \"bbox_2d\": [915.75, 182.76, 1242.0, 374.0], \"bbox_3d\": [1.73, 1.65, 3.96, 3.61, 1.81, 4.83], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.22, \"bbox_2d\": [268.89, 156.74, 518.0, 312.78], \"bbox_3d\": [1.78, 1.89, 4.37, -2.81, 1.62, 10.53], \"ry\": -1.49}, {\"label\": \"car\", \"angle\": 1.26, \"bbox_2d\": [814.59, 185.01, 1017.53, 341.74], \"bbox_3d\": [1.68, 1.51, 3.29, 3.82, 1.86, 9.56], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": 1.35, \"bbox_2d\": [766.67, 196.46, 879.98, 269.92], \"bbox_3d\": [1.39, 1.66, 4.04, 4.79, 1.99, 16.71], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.43, \"bbox_2d\": [719.22, 182.58, 763.54, 221.67], \"bbox_3d\": [1.86, 1.67, 4.13, 6.67, 2.37, 36.87], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 444,
        "data_source": "Mono3DRefer",
        "scene_name": "006898",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.58, \"bbox_2d\": [106.7, 191.9, 143.83, 220.89], \"bbox_3d\": [1.45, 1.62, 3.83, -26.58, 2.52, 39.57], \"ry\": 0.99}]\n```"
            }
        ]
    },
    {
        "id": 445,
        "data_source": "Mono3DRefer",
        "scene_name": "006898_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.56, \"bbox_2d\": [1098.17, 191.9, 1135.3, 220.89], \"bbox_3d\": [1.45, 1.62, 3.83, 27.77, 2.52, 39.57], \"ry\": 2.15}]\n```"
            }
        ]
    },
    {
        "id": 446,
        "data_source": "Mono3DRefer",
        "scene_name": "006900",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [450.35, 188.41, 523.14, 243.98], \"bbox_3d\": [1.5, 1.62, 4.19, -3.77, 2.02, 22.43], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 447,
        "data_source": "Mono3DRefer",
        "scene_name": "006900_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [718.86, 188.41, 791.65, 243.98], \"bbox_3d\": [1.5, 1.62, 4.19, 4.42, 2.02, 22.43], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 448,
        "data_source": "Mono3DRefer",
        "scene_name": "006978",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.55, \"bbox_2d\": [638.56, 179.63, 707.49, 242.04], \"bbox_3d\": [1.6, 1.76, 3.84, 1.84, 1.45, 20.47], \"ry\": -1.47}, {\"label\": \"car\", \"angle\": -1.36, \"bbox_2d\": [368.94, 182.35, 451.79, 239.07], \"bbox_3d\": [1.55, 1.63, 3.92, -5.96, 1.48, 21.99], \"ry\": -1.62}, {\"label\": \"car\", \"angle\": -1.4, \"bbox_2d\": [423.07, 184.13, 479.52, 222.04], \"bbox_3d\": [1.38, 1.56, 3.83, -6.23, 1.36, 28.82], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": -1.39, \"bbox_2d\": [715.7, 185.0, 748.83, 207.4], \"bbox_3d\": [1.39, 1.56, 3.45, 8.24, 1.4, 47.47], \"ry\": -1.22}]\n```"
            }
        ]
    },
    {
        "id": 449,
        "data_source": "Mono3DRefer",
        "scene_name": "006978_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.59, \"bbox_2d\": [533.51, 179.63, 602.44, 242.04], \"bbox_3d\": [1.6, 1.76, 3.84, -1.15, 1.45, 20.47], \"ry\": -1.67}, {\"label\": \"car\", \"angle\": -1.78, \"bbox_2d\": [789.21, 182.35, 872.06, 239.07], \"bbox_3d\": [1.55, 1.63, 3.92, 6.71, 1.48, 21.99], \"ry\": -1.52}, {\"label\": \"car\", \"angle\": -1.74, \"bbox_2d\": [761.48, 184.13, 817.93, 222.04], \"bbox_3d\": [1.38, 1.56, 3.83, 7.23, 1.36, 28.82], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": -1.75, \"bbox_2d\": [492.17, 185.0, 525.3, 207.4], \"bbox_3d\": [1.39, 1.56, 3.45, -6.55, 1.4, 47.47], \"ry\": -1.92}]\n```"
            }
        ]
    },
    {
        "id": 450,
        "data_source": "Mono3DRefer",
        "scene_name": "006981",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.58, \"bbox_2d\": [575.64, 211.22, 607.35, 244.25], \"bbox_3d\": [1.5, 1.62, 4.19, -1.02, 3.69, 39.22], \"ry\": 1.55}]\n```"
            }
        ]
    },
    {
        "id": 451,
        "data_source": "Mono3DRefer",
        "scene_name": "006981_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.56, \"bbox_2d\": [634.65, 211.22, 666.36, 244.25], \"bbox_3d\": [1.5, 1.62, 4.19, 2.2, 3.69, 39.22], \"ry\": 1.59}]\n```"
            }
        ]
    },
    {
        "id": 452,
        "data_source": "Mono3DRefer",
        "scene_name": "006987",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.78, \"bbox_2d\": [1003.95, 197.19, 1241.0, 374.0], \"bbox_3d\": [1.48, 1.63, 3.43, 4.59, 1.65, 4.51], \"ry\": -0.02}, {\"label\": \"car\", \"angle\": -2.56, \"bbox_2d\": [0.0, 158.94, 173.9, 308.82], \"bbox_3d\": [1.7, 1.62, 4.01, -7.97, 1.57, 8.93], \"ry\": 3.01}, {\"label\": \"car\", \"angle\": 0.49, \"bbox_2d\": [0.0, 146.55, 264.2, 278.39], \"bbox_3d\": [1.91, 1.51, 3.49, -7.64, 1.54, 11.43], \"ry\": -0.09}, {\"label\": \"car\", \"angle\": -2.87, \"bbox_2d\": [129.98, 159.0, 317.89, 237.56], \"bbox_3d\": [1.78, 1.65, 3.75, -9.36, 1.48, 17.69], \"ry\": 2.93}, {\"label\": \"car\", \"angle\": -2.94, \"bbox_2d\": [180.67, 174.43, 337.61, 231.59], \"bbox_3d\": [1.49, 1.75, 3.73, -9.88, 1.56, 20.52], \"ry\": 2.9}, {\"label\": \"car\", \"angle\": -1.8, \"bbox_2d\": [467.22, 173.51, 511.8, 203.84], \"bbox_3d\": [1.66, 1.66, 3.98, -7.05, 1.73, 41.8], \"ry\": -1.97}]\n```"
            }
        ]
    },
    {
        "id": 453,
        "data_source": "Mono3DRefer",
        "scene_name": "006987_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.36, \"bbox_2d\": [1.0, 197.19, 238.05, 374.0], \"bbox_3d\": [1.48, 1.63, 3.43, -4.51, 1.65, 4.51], \"ry\": -3.12}, {\"label\": \"car\", \"angle\": -0.58, \"bbox_2d\": [1068.1, 158.94, 1242.0, 308.82], \"bbox_3d\": [1.7, 1.62, 4.01, 8.19, 1.57, 8.93], \"ry\": 0.13}, {\"label\": \"car\", \"angle\": 2.65, \"bbox_2d\": [977.8, 146.55, 1242.0, 278.39], \"bbox_3d\": [1.91, 1.51, 3.49, 7.94, 1.54, 11.43], \"ry\": -3.05}, {\"label\": \"car\", \"angle\": -0.27, \"bbox_2d\": [924.11, 159.0, 1112.02, 237.56], \"bbox_3d\": [1.78, 1.65, 3.75, 9.86, 1.48, 17.69], \"ry\": 0.21}, {\"label\": \"car\", \"angle\": -0.2, \"bbox_2d\": [904.39, 174.43, 1061.33, 231.59], \"bbox_3d\": [1.49, 1.75, 3.73, 10.47, 1.56, 20.52], \"ry\": 0.24}, {\"label\": \"car\", \"angle\": -1.34, \"bbox_2d\": [730.2, 173.51, 774.78, 203.84], \"bbox_3d\": [1.66, 1.66, 3.98, 8.31, 1.73, 41.8], \"ry\": -1.17}]\n```"
            }
        ]
    },
    {
        "id": 454,
        "data_source": "Mono3DRefer",
        "scene_name": "007048",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.36, \"bbox_2d\": [1138.95, 176.47, 1241.0, 248.49], \"bbox_3d\": [1.66, 1.56, 3.42, 14.95, 1.76, 18.42], \"ry\": -0.69}, {\"label\": \"car\", \"angle\": 1.81, \"bbox_2d\": [1090.83, 179.68, 1154.88, 211.37], \"bbox_3d\": [1.45, 1.64, 4.21, 25.4, 1.81, 35.72], \"ry\": 2.42}]\n```"
            }
        ]
    },
    {
        "id": 455,
        "data_source": "Mono3DRefer",
        "scene_name": "007048_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.78, \"bbox_2d\": [1.0, 176.47, 103.05, 248.49], \"bbox_3d\": [1.66, 1.56, 3.42, -14.43, 1.76, 18.42], \"ry\": -2.45}, {\"label\": \"car\", \"angle\": 1.33, \"bbox_2d\": [87.12, 179.68, 151.17, 211.37], \"bbox_3d\": [1.45, 1.64, 4.21, -24.33, 1.81, 35.72], \"ry\": 0.72}]\n```"
            }
        ]
    },
    {
        "id": 456,
        "data_source": "Mono3DRefer",
        "scene_name": "007187",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.62, \"bbox_2d\": [307.62, 188.21, 343.11, 217.0], \"bbox_3d\": [1.45, 1.62, 3.83, -15.61, 2.32, 39.63], \"ry\": 1.24}]\n```"
            }
        ]
    },
    {
        "id": 457,
        "data_source": "Mono3DRefer",
        "scene_name": "007187_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.52, \"bbox_2d\": [898.89, 188.21, 934.38, 217.0], \"bbox_3d\": [1.45, 1.62, 3.83, 16.8, 2.32, 39.63], \"ry\": 1.9}]\n```"
            }
        ]
    },
    {
        "id": 458,
        "data_source": "Mono3DRefer",
        "scene_name": "007212",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [656.1, 191.43, 700.74, 226.42], \"bbox_3d\": [1.41, 1.58, 4.36, 3.03, 2.3, 32.94], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 459,
        "data_source": "Mono3DRefer",
        "scene_name": "007212_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [541.26, 191.43, 585.9, 226.42], \"bbox_3d\": [1.41, 1.58, 4.36, -2.05, 2.3, 32.94], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 460,
        "data_source": "Mono3DRefer",
        "scene_name": "007214",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -0.79, \"bbox_2d\": [693.86, 197.32, 784.66, 231.84], \"bbox_3d\": [1.37, 1.56, 4.19, 5.88, 2.54, 32.81], \"ry\": -0.62}, {\"label\": \"car\", \"angle\": 3.02, \"bbox_2d\": [998.14, 173.35, 1231.89, 248.13], \"bbox_3d\": [1.54, 1.68, 4.16, 11.25, 1.58, 16.51], \"ry\": -2.68}]\n```"
            }
        ]
    },
    {
        "id": 461,
        "data_source": "Mono3DRefer",
        "scene_name": "007214_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -2.35, \"bbox_2d\": [457.34, 197.32, 548.14, 231.84], \"bbox_3d\": [1.37, 1.56, 4.19, -4.9, 2.54, 32.81], \"ry\": -2.52}, {\"label\": \"car\", \"angle\": 0.12, \"bbox_2d\": [10.11, 173.35, 243.86, 248.13], \"bbox_3d\": [1.54, 1.68, 4.16, -10.79, 1.58, 16.51], \"ry\": -0.46}]\n```"
            }
        ]
    },
    {
        "id": 462,
        "data_source": "Mono3DRefer",
        "scene_name": "007232",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.08, \"bbox_2d\": [8.98, 167.61, 367.67, 357.08], \"bbox_3d\": [1.76, 1.77, 4.41, -4.73, 1.74, 8.93], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.9, \"bbox_2d\": [355.22, 187.78, 493.36, 265.65], \"bbox_3d\": [1.48, 1.65, 4.4, -4.06, 1.85, 16.39], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [545.74, 183.33, 594.67, 217.28], \"bbox_3d\": [1.42, 1.66, 3.64, -1.77, 1.91, 32.58], \"ry\": 1.67}, {\"label\": \"car\", \"angle\": 1.84, \"bbox_2d\": [638.36, 179.84, 672.07, 199.33], \"bbox_3d\": [1.44, 1.64, 3.78, 3.52, 1.99, 55.83], \"ry\": 1.91}]\n```"
            }
        ]
    },
    {
        "id": 463,
        "data_source": "Mono3DRefer",
        "scene_name": "007232_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.06, \"bbox_2d\": [874.33, 167.61, 1233.02, 357.08], \"bbox_3d\": [1.76, 1.77, 4.41, 4.95, 1.74, 8.93], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.24, \"bbox_2d\": [748.64, 187.78, 886.78, 265.65], \"bbox_3d\": [1.48, 1.65, 4.4, 4.52, 1.85, 16.39], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [647.33, 183.33, 696.26, 217.28], \"bbox_3d\": [1.42, 1.66, 3.64, 2.74, 1.91, 32.58], \"ry\": 1.47}, {\"label\": \"car\", \"angle\": 1.3, \"bbox_2d\": [569.93, 179.84, 603.64, 199.33], \"bbox_3d\": [1.44, 1.64, 3.78, -1.81, 1.99, 55.83], \"ry\": 1.23}]\n```"
            }
        ]
    },
    {
        "id": 464,
        "data_source": "Mono3DRefer",
        "scene_name": "007303",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 2.14, \"bbox_2d\": [0.0, 186.67, 349.0, 374.0], \"bbox_3d\": [1.7, 1.82, 4.45, -3.86, 1.84, 5.78], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.49, \"bbox_2d\": [670.11, 162.24, 709.69, 198.52], \"bbox_3d\": [1.57, 1.56, 2.62, 3.64, 1.13, 32.86], \"ry\": -1.38}, {\"label\": \"car\", \"angle\": 1.78, \"bbox_2d\": [608.11, 166.26, 647.59, 189.91], \"bbox_3d\": [1.43, 1.68, 4.19, 1.17, 1.05, 46.11], \"ry\": 1.8}]\n```"
            }
        ]
    },
    {
        "id": 465,
        "data_source": "Mono3DRefer",
        "scene_name": "007303_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.0, \"bbox_2d\": [893.0, 186.67, 1242.0, 374.0], \"bbox_3d\": [1.7, 1.82, 4.45, 3.98, 1.84, 5.78], \"ry\": 1.57}, {\"label\": \"car\", \"angle\": -1.65, \"bbox_2d\": [532.31, 162.24, 571.89, 198.52], \"bbox_3d\": [1.57, 1.56, 2.62, -2.66, 1.13, 32.86], \"ry\": -1.76}, {\"label\": \"car\", \"angle\": 1.36, \"bbox_2d\": [594.41, 166.26, 633.89, 189.91], \"bbox_3d\": [1.43, 1.68, 4.19, 0.23, 1.05, 46.11], \"ry\": 1.34}]\n```"
            }
        ]
    },
    {
        "id": 466,
        "data_source": "Mono3DRefer",
        "scene_name": "007304",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [654.48, 190.12, 701.21, 226.64], \"bbox_3d\": [1.41, 1.58, 4.36, 2.86, 2.2, 31.51], \"ry\": -1.58}]\n```"
            }
        ]
    },
    {
        "id": 467,
        "data_source": "Mono3DRefer",
        "scene_name": "007304_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [540.79, 190.12, 587.52, 226.64], \"bbox_3d\": [1.41, 1.58, 4.36, -1.92, 2.2, 31.51], \"ry\": -1.56}]\n```"
            }
        ]
    },
    {
        "id": 468,
        "data_source": "Mono3DRefer",
        "scene_name": "007402",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.48, \"bbox_2d\": [669.25, 182.88, 719.27, 220.22], \"bbox_3d\": [1.38, 1.59, 4.19, 3.31, 1.8, 29.29], \"ry\": 1.59}, {\"label\": \"car\", \"angle\": -1.62, \"bbox_2d\": [652.34, 177.17, 678.28, 200.37], \"bbox_3d\": [1.51, 1.56, 3.81, 3.72, 1.82, 49.3], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 0.84, \"bbox_2d\": [936.17, 194.03, 1241.0, 374.0], \"bbox_3d\": [1.62, 1.58, 3.89, 2.93, 1.75, 2.9], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.9, \"bbox_2d\": [240.05, 187.18, 491.58, 334.35], \"bbox_3d\": [1.45, 1.67, 4.43, -2.91, 1.67, 9.58], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": -1.88, \"bbox_2d\": [739.86, 191.27, 952.51, 331.55], \"bbox_3d\": [1.47, 1.59, 3.62, 2.88, 1.75, 9.74], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 1.8, \"bbox_2d\": [398.55, 177.46, 515.48, 258.89], \"bbox_3d\": [1.56, 1.68, 3.69, -3.24, 1.67, 15.78], \"ry\": 1.6}, {\"label\": \"car\", \"angle\": 1.4, \"bbox_2d\": [693.88, 187.12, 814.46, 271.12], \"bbox_3d\": [1.44, 1.64, 4.5, 2.8, 1.77, 15.14], \"ry\": 1.58}, {\"label\": \"car\", \"angle\": 1.68, \"bbox_2d\": [491.99, 177.58, 548.1, 224.34], \"bbox_3d\": [1.46, 1.51, 3.24, -3.01, 1.63, 24.38], \"ry\": 1.56}]\n```"
            }
        ]
    },
    {
        "id": 469,
        "data_source": "Mono3DRefer",
        "scene_name": "007402_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.66, \"bbox_2d\": [522.73, 182.88, 572.75, 220.22], \"bbox_3d\": [1.38, 1.59, 4.19, -2.44, 1.8, 29.29], \"ry\": 1.55}, {\"label\": \"car\", \"angle\": -1.52, \"bbox_2d\": [563.72, 177.17, 589.66, 200.37], \"bbox_3d\": [1.51, 1.56, 3.81, -2.22, 1.82, 49.3], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 2.3, \"bbox_2d\": [1.0, 194.03, 305.83, 374.0], \"bbox_3d\": [1.62, 1.58, 3.89, -2.9, 1.75, 2.9], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.24, \"bbox_2d\": [750.42, 187.18, 1001.95, 334.35], \"bbox_3d\": [1.45, 1.67, 4.43, 3.15, 1.67, 9.58], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": -1.26, \"bbox_2d\": [289.49, 191.27, 502.14, 331.55], \"bbox_3d\": [1.47, 1.59, 3.62, -2.63, 1.75, 9.74], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 1.34, \"bbox_2d\": [726.52, 177.46, 843.45, 258.89], \"bbox_3d\": [1.56, 1.68, 3.69, 3.68, 1.67, 15.78], \"ry\": 1.54}, {\"label\": \"car\", \"angle\": 1.74, \"bbox_2d\": [427.54, 187.12, 548.12, 271.12], \"bbox_3d\": [1.44, 1.64, 4.5, -2.38, 1.77, 15.14], \"ry\": 1.56}, {\"label\": \"car\", \"angle\": 1.46, \"bbox_2d\": [693.9, 177.58, 750.01, 224.34], \"bbox_3d\": [1.46, 1.51, 3.24, 3.72, 1.63, 24.38], \"ry\": 1.58}]\n```"
            }
        ]
    },
    {
        "id": 470,
        "data_source": "Mono3DRefer",
        "scene_name": "007462",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.7, \"bbox_2d\": [562.18, 181.04, 590.35, 202.19], \"bbox_3d\": [1.45, 1.6, 3.2, -2.42, 2.05, 51.86], \"ry\": 1.66}, {\"label\": \"car\", \"angle\": 1.78, \"bbox_2d\": [453.39, 185.53, 524.6, 232.75], \"bbox_3d\": [1.47, 1.66, 3.76, -4.13, 1.93, 24.93], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": -1.93, \"bbox_2d\": [819.86, 194.1, 1091.41, 344.27], \"bbox_3d\": [1.41, 1.66, 3.86, 3.94, 1.72, 9.09], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": -1.87, \"bbox_2d\": [752.8, 180.24, 884.7, 269.36], \"bbox_3d\": [1.59, 1.59, 3.34, 4.07, 1.75, 14.71], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": -1.73, \"bbox_2d\": [725.27, 182.9, 807.39, 242.77], \"bbox_3d\": [1.47, 1.6, 3.7, 4.17, 1.77, 19.93], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": 1.77, \"bbox_2d\": [490.37, 183.78, 547.4, 220.55], \"bbox_3d\": [1.43, 1.68, 3.76, -3.83, 1.91, 30.59], \"ry\": 1.64}, {\"label\": \"car\", \"angle\": -1.71, \"bbox_2d\": [706.51, 181.97, 768.41, 228.3], \"bbox_3d\": [1.49, 1.64, 3.52, 4.37, 1.82, 25.35], \"ry\": -1.54}, {\"label\": \"car\", \"angle\": 1.72, \"bbox_2d\": [514.02, 183.76, 560.85, 214.02], \"bbox_3d\": [1.38, 1.68, 4.34, -3.59, 1.95, 36.05], \"ry\": 1.62}, {\"label\": \"car\", \"angle\": -1.67, \"bbox_2d\": [693.48, 179.68, 742.88, 217.96], \"bbox_3d\": [1.5, 1.64, 4.14, 4.49, 1.8, 30.61], \"ry\": -1.52}]\n```"
            }
        ]
    },
    {
        "id": 471,
        "data_source": "Mono3DRefer",
        "scene_name": "007462_flip",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: [{\"label\": ... (category), \"angle\": ... (observation angle on image (-π to π)), \"bbox_2d\": [x1,y1,x2,y2], \"bbox_3d\": [height,width,length,x,y,z] (x: right, y: up, z: depth to camera), \"ry\": ... (rotation around Y-axis (-π to π))}, ... (other object)]."
            },
            {
                "from": "gpt",
                "value": "```JSON\n[{\"label\": \"car\", \"angle\": 1.44, \"bbox_2d\": [651.65, 181.04, 679.82, 202.19], \"bbox_3d\": [1.45, 1.6, 3.2, 4.0, 2.05, 51.86], \"ry\": 1.48}, {\"label\": \"car\", \"angle\": 1.36, \"bbox_2d\": [717.4, 185.53, 788.61, 232.75], \"bbox_3d\": [1.47, 1.66, 3.76, 4.86, 1.93, 24.93], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": -1.21, \"bbox_2d\": [150.59, 194.1, 422.14, 344.27], \"bbox_3d\": [1.41, 1.66, 3.86, -3.71, 1.72, 9.09], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": -1.27, \"bbox_2d\": [357.3, 180.24, 489.2, 269.36], \"bbox_3d\": [1.59, 1.59, 3.34, -3.67, 1.75, 14.71], \"ry\": -1.53}, {\"label\": \"car\", \"angle\": -1.41, \"bbox_2d\": [434.61, 182.9, 516.73, 242.77], \"bbox_3d\": [1.47, 1.6, 3.7, -3.6, 1.77, 19.93], \"ry\": -1.61}, {\"label\": \"car\", \"angle\": 1.37, \"bbox_2d\": [694.6, 183.78, 751.63, 220.55], \"bbox_3d\": [1.43, 1.68, 3.76, 4.74, 1.91, 30.59], \"ry\": 1.5}, {\"label\": \"car\", \"angle\": -1.43, \"bbox_2d\": [473.59, 181.97, 535.49, 228.3], \"bbox_3d\": [1.49, 1.64, 3.52, -3.63, 1.82, 25.35], \"ry\": -1.6}, {\"label\": \"car\", \"angle\": 1.42, \"bbox_2d\": [681.15, 183.76, 727.98, 214.02], \"bbox_3d\": [1.38, 1.68, 4.34, 4.67, 1.95, 36.05], \"ry\": 1.52}, {\"label\": \"car\", \"angle\": -1.47, \"bbox_2d\": [499.12, 179.68, 548.52, 217.96], \"bbox_3d\": [1.5, 1.64, 4.14, -3.58, 1.8, 30.61], \"ry\": -1.62}]\n```"
            }
        ]
    }
]