[
    {
        "id": 0,
        "data_source": "Mono3DRefer",
        "scene_name": "000006",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.55, -1.21, 0.15, 2.05], \"boxes_2d\": [[548.0, 171.33, 572.4, 194.42], [505.25, 168.37, 575.44, 209.18], [49.7, 185.65, 227.42, 246.96], [328.67, 170.65, 397.24, 204.16]], \"boxes_3d\": [[1.48, 1.56, 3.62, -2.72, 0.82, 48.22], [1.67, 1.64, 4.32, -2.61, 1.13, 31.73], [1.5, 1.62, 3.88, -12.54, 1.64, 19.72], [1.68, 1.67, 4.29, -12.66, 1.13, 38.44]], \"ry\": [-1.62, -1.3, -0.42, 1.73]}\n```"
            }
        ]
    },
    {
        "id": 1,
        "data_source": "Mono3DRefer",
        "scene_name": "000007",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, 1.71, 1.64], \"boxes_2d\": [[564.62, 174.59, 616.43, 224.74], [481.59, 180.09, 512.55, 202.42], [542.05, 175.55, 565.27, 193.79]], \"boxes_3d\": [[1.61, 1.66, 3.2, -0.69, 1.69, 25.01], [1.4, 1.51, 3.7, -7.43, 1.88, 47.55], [1.46, 1.66, 4.05, -4.71, 1.71, 60.52]], \"ry\": [-1.59, 1.55, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 2,
        "data_source": "Mono3DRefer",
        "scene_name": "000008",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.04, -1.84, -1.33, 1.74, -1.65], \"boxes_2d\": [[334.85, 178.94, 624.5, 372.04], [937.29, 197.39, 1241.0, 374.0], [597.59, 176.18, 720.9, 261.14], [741.18, 168.83, 792.25, 208.43], [884.52, 178.31, 956.41, 240.18]], \"boxes_3d\": [[1.57, 1.5, 3.68, -1.17, 1.65, 7.86], [1.39, 1.44, 3.08, 3.81, 1.64, 6.15], [1.47, 1.6, 3.66, 1.07, 1.55, 14.44], [1.7, 1.63, 4.08, 7.24, 1.55, 33.2], [1.59, 1.59, 2.47, 8.48, 1.75, 19.96]], \"ry\": [1.9, -1.31, -1.25, 1.95, -1.25]}\n```"
            }
        ]
    },
    {
        "id": 3,
        "data_source": "Mono3DRefer",
        "scene_name": "000009",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.5], \"boxes_2d\": [[601.96, 177.01, 659.15, 229.51]], \"boxes_3d\": [[1.61, 1.66, 3.2, 0.7, 1.76, 23.88]], \"ry\": [-1.48]}\n```"
            }
        ]
    },
    {
        "id": 4,
        "data_source": "Mono3DRefer",
        "scene_name": "000013",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[455.7, 183.86, 533.81, 241.91]], \"boxes_3d\": [[1.45, 1.56, 3.47, -3.16, 1.77, 20.13]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 5,
        "data_source": "Mono3DRefer",
        "scene_name": "000015",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.29], \"boxes_2d\": [[0.0, 194.7, 414.71, 373.0]], \"boxes_3d\": [[1.57, 1.67, 4.14, -2.75, 1.7, 4.1]], \"ry\": [1.72]}\n```"
            }
        ]
    },
    {
        "id": 6,
        "data_source": "Mono3DRefer",
        "scene_name": "000016",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.45, -1.4, -0.72, 1.82], \"boxes_2d\": [[661.23, 174.85, 694.38, 197.63], [684.49, 172.19, 733.85, 205.26], [0.0, 193.56, 386.2, 374.0], [494.45, 181.84, 527.48, 205.27]], \"boxes_3d\": [[1.32, 1.48, 4.44, 4.19, 1.46, 44.41], [1.42, 1.56, 4.16, 4.58, 1.41, 33.13], [1.45, 1.59, 3.44, -3.67, 1.67, 6.05], [1.44, 1.35, 3.23, -6.41, 2.04, 46.74]], \"ry\": [-1.35, -1.27, -1.24, 1.68]}\n```"
            }
        ]
    },
    {
        "id": 7,
        "data_source": "Mono3DRefer",
        "scene_name": "000017",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.23], \"boxes_2d\": [[728.25, 173.97, 791.57, 200.2]], \"boxes_3d\": [[1.62, 1.72, 4.35, 9.71, 1.73, 47.16]], \"ry\": [-2.03]}\n```"
            }
        ]
    },
    {
        "id": 8,
        "data_source": "Mono3DRefer",
        "scene_name": "000018",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.59], \"boxes_2d\": [[523.41, 194.53, 550.65, 219.39]], \"boxes_3d\": [[1.44, 1.66, 4.53, -4.82, 2.9, 47.02]], \"ry\": [-1.69]}\n```"
            }
        ]
    },
    {
        "id": 9,
        "data_source": "Mono3DRefer",
        "scene_name": "000019",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.81, -1.48], \"boxes_2d\": [[742.41, 184.49, 944.56, 321.39], [551.01, 184.06, 575.42, 204.29]], \"boxes_3d\": [[1.46, 1.6, 3.71, 2.84, 1.63, 9.72], [1.58, 1.65, 3.91, -3.85, 2.52, 59.59]], \"ry\": [-1.54, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 10,
        "data_source": "Mono3DRefer",
        "scene_name": "000020",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.77], \"boxes_2d\": [[685.05, 181.43, 804.68, 258.21]], \"boxes_3d\": [[1.4, 1.61, 4.37, 2.69, 1.6, 15.58]], \"ry\": [-1.61]}\n```"
            }
        ]
    },
    {
        "id": 11,
        "data_source": "Mono3DRefer",
        "scene_name": "000021",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.9, 1.82, -1.72, 1.74, -1.69, 1.69], \"boxes_2d\": [[359.43, 179.3, 516.3, 270.97], [444.13, 163.92, 559.2, 247.04], [724.49, 171.09, 790.5, 215.13], [534.25, 166.2, 596.08, 216.76], [709.81, 162.43, 765.7, 205.68], [562.02, 166.42, 605.57, 206.89]], \"boxes_3d\": [[1.44, 1.64, 3.78, -3.03, 1.57, 13.3], [1.77, 1.71, 4.28, -2.52, 1.61, 17.6], [1.45, 1.71, 3.93, 5.18, 1.42, 25.97], [1.73, 1.65, 3.96, -1.62, 1.53, 26.83], [1.78, 1.89, 4.37, 5.57, 1.38, 32.13], [1.68, 1.51, 3.29, -1.14, 1.43, 31.78]], \"ry\": [1.68, 1.68, -1.53, 1.67, -1.52, 1.66]}\n```"
            }
        ]
    },
    {
        "id": 12,
        "data_source": "Mono3DRefer",
        "scene_name": "000022",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.11, -1.04], \"boxes_2d\": [[128.66, 199.48, 218.9, 237.2], [60.72, 198.17, 159.92, 238.35]], \"boxes_3d\": [[1.42, 1.7, 4.14, -19.08, 2.65, 31.72], [1.52, 1.71, 4.11, -21.79, 2.69, 31.61]], \"ry\": [-1.65, -1.64]}\n```"
            }
        ]
    },
    {
        "id": 13,
        "data_source": "Mono3DRefer",
        "scene_name": "000023",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.86], \"boxes_2d\": [[372.95, 182.64, 412.21, 205.68]], \"boxes_3d\": [[1.67, 1.87, 3.69, -16.57, 2.43, 55.08]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 14,
        "data_source": "Mono3DRefer",
        "scene_name": "000025",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.29, 1.75, -1.69, -1.62], \"boxes_2d\": [[351.84, 183.19, 537.77, 308.64], [562.48, 173.46, 618.49, 217.36], [724.21, 178.91, 805.39, 249.94], [720.81, 187.01, 779.98, 236.22]], \"boxes_3d\": [[1.47, 1.6, 3.66, -2.21, 1.63, 10.42], [1.7, 1.63, 4.08, -0.78, 1.75, 30.18], [1.59, 1.59, 2.47, 3.64, 1.75, 17.48], [1.37, 1.59, 3.22, 4.23, 1.83, 22.3]], \"ry\": [-1.49, 1.72, -1.49, -1.44]}\n```"
            }
        ]
    },
    {
        "id": 15,
        "data_source": "Mono3DRefer",
        "scene_name": "000029",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.71], \"boxes_2d\": [[652.31, 174.94, 690.16, 204.97]], \"boxes_3d\": [[1.64, 1.69, 3.3, 3.46, 1.78, 41.53]], \"ry\": [-1.63]}\n```"
            }
        ]
    },
    {
        "id": 16,
        "data_source": "Mono3DRefer",
        "scene_name": "000033",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.17, -1.58], \"boxes_2d\": [[0.0, 189.66, 234.52, 322.3], [582.63, 175.1, 601.14, 189.77]], \"boxes_3d\": [[1.48, 1.64, 3.59, -7.09, 1.75, 10.15], [1.26, 1.6, 3.56, -1.64, 1.48, 64.47]], \"ry\": [1.57, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 17,
        "data_source": "Mono3DRefer",
        "scene_name": "000035",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, -1.4, 1.95], \"boxes_2d\": [[587.01, 173.33, 614.12, 200.12], [425.44, 176.21, 529.23, 259.84], [234.86, 185.44, 320.32, 231.58]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.65, 1.71, 46.7], [1.61, 1.51, 4.5, -2.88, 1.71, 16.31], [1.61, 1.72, 3.65, -12.69, 2.12, 27.71]], \"ry\": [-1.59, -1.57, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 18,
        "data_source": "Mono3DRefer",
        "scene_name": "000036",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, 1.89, 2.03, 1.82, 2.67, 2.53], \"boxes_2d\": [[553.16, 178.73, 693.67, 311.88], [341.05, 194.66, 390.28, 218.73], [286.23, 196.48, 337.13, 220.85], [412.76, 190.23, 455.28, 212.54], [960.19, 183.87, 1104.42, 229.69], [1154.43, 178.14, 1241.0, 222.29]], \"boxes_3d\": [[1.55, 1.63, 3.32, 0.11, 1.64, 10.13], [1.37, 1.82, 3.96, -15.54, 2.81, 46.01], [1.38, 1.79, 2.94, -18.46, 2.88, 44.69], [1.4, 1.75, 4.75, -12.25, 2.66, 50.4], [1.59, 1.73, 4.26, 15.49, 2.03, 26.68], [1.55, 1.76, 3.59, 22.52, 1.76, 26.55]], \"ry\": [-1.57, 1.56, 1.64, 1.58, -3.09, -3.06]}\n```"
            }
        ]
    },
    {
        "id": 19,
        "data_source": "Mono3DRefer",
        "scene_name": "000039",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.9, -1.72, 1.64, 1.46, 1.58, -1.62], \"boxes_2d\": [[114.51, 193.47, 466.61, 374.0], [683.15, 184.41, 776.5, 256.99], [533.53, 177.81, 574.19, 212.8], [653.23, 180.26, 702.93, 220.26], [561.27, 178.49, 585.9, 201.02], [639.85, 175.24, 667.59, 200.41]], \"boxes_3d\": [[1.48, 1.67, 4.3, -2.7, 1.73, 7.17], [1.46, 1.54, 3.62, 2.61, 1.74, 16.67], [1.52, 1.57, 4.42, -2.6, 1.77, 33.82], [1.51, 1.58, 3.92, 2.68, 1.82, 29.48], [1.46, 1.6, 3.33, -2.47, 1.85, 48.95], [1.64, 1.7, 3.54, 2.93, 1.82, 49.29]], \"ry\": [1.55, -1.57, 1.57, 1.55, 1.53, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 20,
        "data_source": "Mono3DRefer",
        "scene_name": "000040",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.68], \"boxes_2d\": [[474.58, 179.03, 516.72, 210.71]], \"boxes_3d\": [[1.45, 1.62, 3.83, -5.58, 1.77, 35.37]], \"ry\": [1.52]}\n```"
            }
        ]
    },
    {
        "id": 21,
        "data_source": "Mono3DRefer",
        "scene_name": "000041",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.96], \"boxes_2d\": [[439.52, 178.17, 508.93, 205.17]], \"boxes_3d\": [[1.49, 1.64, 3.7, -7.84, 1.82, 41.75]], \"ry\": [3.14]}\n```"
            }
        ]
    },
    {
        "id": 22,
        "data_source": "Mono3DRefer",
        "scene_name": "000042",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.57], \"boxes_2d\": [[576.34, 174.48, 604.86, 202.67]], \"boxes_3d\": [[1.65, 1.67, 3.64, -1.21, 1.77, 44.49]], \"ry\": [-1.59]}\n```"
            }
        ]
    },
    {
        "id": 23,
        "data_source": "Mono3DRefer",
        "scene_name": "000045",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.98, 1.95, 1.87, 1.8, 1.79, 2.12], \"boxes_2d\": [[269.01, 176.97, 375.72, 242.36], [346.6, 186.7, 419.98, 229.04], [387.31, 178.52, 455.56, 221.43], [455.95, 181.43, 500.99, 209.72], [480.03, 181.4, 517.92, 205.67], [75.43, 192.52, 273.65, 277.52]], \"boxes_3d\": [[1.8, 1.61, 3.83, -8.66, 1.94, 21.96], [1.45, 1.45, 3.4, -8.46, 1.99, 27.06], [1.75, 1.71, 4.31, -8.27, 2.02, 31.88], [1.53, 1.66, 4.01, -7.54, 2.03, 41.53], [1.48, 1.6, 3.9, -7.16, 2.05, 46.7], [1.47, 1.63, 4.11, -8.95, 1.92, 15.21]], \"ry\": [1.6, 1.65, 1.61, 1.62, 1.64, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 24,
        "data_source": "Mono3DRefer",
        "scene_name": "000046",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, -1.58, -1.89, -1.77, -1.67, -1.68], \"boxes_2d\": [[578.47, 176.02, 625.98, 221.24], [597.59, 168.75, 634.85, 207.61], [769.21, 151.69, 1087.61, 374.0], [706.06, 174.92, 807.35, 254.28], [660.18, 171.93, 703.11, 210.02], [646.4, 174.21, 684.26, 204.82]], \"boxes_3d\": [[1.54, 1.63, 3.67, -0.32, 1.68, 26.76], [1.77, 1.69, 4.32, 0.26, 1.61, 35.33], [1.74, 1.62, 4.13, 2.87, 1.61, 7.64], [1.53, 1.46, 3.26, 3.03, 1.59, 15.65], [1.6, 1.56, 3.45, 3.13, 1.59, 32.3], [1.52, 1.53, 4.07, 2.85, 1.62, 38.2]], \"ry\": [-1.58, -1.57, -1.54, -1.59, -1.57, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 25,
        "data_source": "Mono3DRefer",
        "scene_name": "000047",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -0.92, -1.22, -1.24, -1.38, -1.49, -0.96, -1.12], \"boxes_2d\": [[572.31, 171.6, 624.11, 218.82], [0.0, 190.67, 171.41, 313.27], [214.99, 165.2, 423.55, 292.98], [296.94, 182.19, 393.12, 231.61], [428.19, 180.81, 498.01, 226.24], [522.27, 176.55, 552.71, 202.38], [0.0, 185.88, 180.39, 253.13], [193.59, 181.29, 294.71, 229.39]], \"boxes_3d\": [[1.6, 1.76, 3.84, -0.38, 1.13, 26.54], [1.47, 1.54, 3.51, -8.37, 1.59, 10.68], [1.78, 1.81, 4.32, -4.65, 1.49, 12.25], [1.45, 1.61, 4.3, -8.54, 1.37, 23.68], [1.45, 1.67, 3.88, -5.0, 1.3, 25.13], [1.63, 1.67, 3.92, -4.64, 1.07, 47.7], [1.42, 1.57, 4.23, -12.64, 1.46, 17.75], [1.58, 1.64, 3.96, -12.99, 1.45, 25.9]], \"ry\": [-1.58, -1.57, -1.57, -1.58, -1.58, -1.58, -1.57, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 26,
        "data_source": "Mono3DRefer",
        "scene_name": "000049",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.9, 2.23, -1.57, -2.24, -2.14, -2.25, -2.24, -1.98, -1.83, -1.78, -0.38, 2.26, 2.19, -1.56], \"boxes_2d\": [[287.85, 175.62, 379.41, 228.84], [0.0, 170.48, 111.64, 240.66], [595.5, 177.15, 657.31, 227.34], [305.23, 179.59, 494.97, 263.68], [410.09, 176.18, 514.77, 228.78], [435.96, 173.6, 537.84, 218.33], [473.64, 171.53, 556.16, 203.86], [823.97, 189.33, 1083.14, 327.79], [753.34, 185.35, 885.42, 263.59], [719.83, 169.31, 816.44, 238.11], [776.77, 170.97, 882.28, 211.7], [0.0, 178.64, 252.92, 280.6], [194.14, 174.89, 341.99, 241.74], [603.49, 171.71, 639.3, 204.36]], \"boxes_3d\": [[1.45, 1.47, 3.52, -8.24, 1.56, 21.69], [1.53, 1.53, 3.45, -14.04, 1.5, 17.43], [1.36, 1.69, 3.38, 0.45, 1.51, 21.55], [1.4, 1.6, 3.55, -4.1, 1.55, 13.75], [1.46, 1.49, 3.4, -4.55, 1.58, 21.82], [1.43, 1.62, 3.47, -4.31, 1.48, 24.83], [1.37, 1.55, 3.96, -4.36, 1.34, 32.49], [1.41, 1.61, 3.71, 4.16, 1.66, 9.53], [1.36, 1.59, 3.85, 4.1, 1.64, 14.89], [1.72, 1.79, 3.94, 4.26, 1.66, 20.2], [1.7, 1.77, 4.06, 9.6, 1.65, 31.83], [1.41, 1.58, 3.9, -7.94, 1.52, 12.04], [1.44, 1.58, 3.25, -8.06, 1.5, 17.23], [1.52, 1.67, 3.61, 0.55, 1.49, 35.67]], \"ry\": [1.55, 1.56, -1.55, -2.52, -2.34, -2.43, -2.37, -1.58, -1.57, -1.58, -0.09, 1.69, 1.75, -1.54]}\n```"
            }
        ]
    },
    {
        "id": 27,
        "data_source": "Mono3DRefer",
        "scene_name": "000051",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.59], \"boxes_2d\": [[713.9, 174.69, 744.43, 204.49]], \"boxes_3d\": [[1.55, 1.57, 3.64, 6.5, 1.68, 39.76]], \"ry\": [-1.43]}\n```"
            }
        ]
    },
    {
        "id": 28,
        "data_source": "Mono3DRefer",
        "scene_name": "000055",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.24, 2.14, 2.08, 2.04], \"boxes_2d\": [[31.61, 193.32, 129.71, 230.77], [104.42, 188.01, 188.34, 220.56], [183.23, 187.33, 245.86, 217.54], [227.36, 189.17, 281.98, 211.96]], \"boxes_3d\": [[1.48, 1.35, 3.93, -23.47, 2.44, 32.12], [1.5, 1.62, 4.08, -23.45, 2.3, 36.62], [1.65, 1.57, 3.82, -23.27, 2.53, 42.56], [1.37, 1.36, 4.44, -23.4, 2.48, 47.64]], \"ry\": [1.62, 1.58, 1.58, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 29,
        "data_source": "Mono3DRefer",
        "scene_name": "000057",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.67], \"boxes_2d\": [[514.51, 193.66, 563.52, 231.99]], \"boxes_3d\": [[1.42, 1.66, 4.11, -2.97, 2.35, 30.55]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 30,
        "data_source": "Mono3DRefer",
        "scene_name": "000059",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, -1.48, 2.4, 2.08], \"boxes_2d\": [[558.06, 180.83, 599.17, 213.45], [509.12, 180.43, 543.44, 205.58], [969.34, 195.19, 1100.37, 246.63], [1129.34, 194.18, 1241.0, 249.48]], \"boxes_3d\": [[1.26, 1.6, 3.56, -1.33, 1.6, 30.01], [1.37, 1.63, 3.57, -4.82, 1.82, 41.7], [1.38, 1.35, 3.3, 12.55, 2.08, 21.41], [1.59, 1.73, 4.02, 19.12, 2.33, 23.51]], \"ry\": [-1.61, -1.59, 2.92, 2.75]}\n```"
            }
        ]
    },
    {
        "id": 31,
        "data_source": "Mono3DRefer",
        "scene_name": "000060",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.55, 1.95], \"boxes_2d\": [[550.84, 173.54, 614.08, 236.57], [305.57, 177.91, 341.6, 196.33]], \"boxes_3d\": [[1.62, 1.63, 4.5, -0.78, 1.67, 21.02], [1.46, 1.31, 4.15, -23.72, 1.89, 59.83]], \"ry\": [-1.58, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 32,
        "data_source": "Mono3DRefer",
        "scene_name": "000061",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.58, 1.67], \"boxes_2d\": [[69.7, 217.73, 112.22, 254.15], [0.0, 218.4, 93.89, 297.9]], \"boxes_3d\": [[1.39, 1.52, 3.56, -23.89, 3.55, 33.21], [1.46, 1.59, 3.35, -13.06, 2.61, 16.63]], \"ry\": [0.96, 1.01]}\n```"
            }
        ]
    },
    {
        "id": 33,
        "data_source": "Mono3DRefer",
        "scene_name": "000064",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.83, -1.7, -1.85], \"boxes_2d\": [[715.18, 175.63, 762.77, 203.9], [657.65, 179.93, 709.86, 219.92], [731.51, 180.39, 882.28, 275.8]], \"boxes_3d\": [[1.44, 1.56, 3.96, 6.91, 1.61, 39.17], [1.38, 1.49, 3.32, 2.65, 1.65, 26.82], [1.5, 1.62, 3.89, 3.43, 1.65, 13.46]], \"ry\": [-1.65, -1.6, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 34,
        "data_source": "Mono3DRefer",
        "scene_name": "000066",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.53, 1.75], \"boxes_2d\": [[671.48, 168.74, 710.12, 206.53], [591.73, 172.89, 633.98, 199.59]], \"boxes_3d\": [[1.57, 1.56, 2.62, 3.54, 1.42, 31.58], [1.43, 1.68, 4.19, 0.19, 1.46, 40.99]], \"ry\": [-1.42, 1.75]}\n```"
            }
        ]
    },
    {
        "id": 35,
        "data_source": "Mono3DRefer",
        "scene_name": "000068",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.94, 2.26, 1.68, 1.66, -0.16, -0.11, -0.01], \"boxes_2d\": [[69.26, 200.28, 435.08, 374.0], [0.0, 209.2, 198.59, 374.0], [478.18, 187.68, 549.54, 249.43], [530.03, 187.79, 573.1, 226.09], [667.74, 182.35, 790.82, 230.38], [657.37, 184.48, 763.34, 221.64], [637.45, 180.34, 714.44, 212.34]], \"boxes_3d\": [[1.46, 1.62, 4.04, -3.0, 1.79, 6.98], [1.46, 1.58, 3.72, -5.44, 1.85, 6.22], [1.57, 1.6, 3.99, -2.73, 2.03, 20.96], [1.52, 1.54, 3.68, -2.53, 2.2, 31.5], [1.62, 1.65, 4.14, 4.19, 1.99, 25.95], [1.55, 1.66, 4.47, 4.35, 2.1, 32.0], [1.69, 1.76, 4.12, 3.59, 2.12, 39.79]], \"ry\": [1.55, 1.56, 1.55, 1.58, 0.0, 0.02, 0.08]}\n```"
            }
        ]
    },
    {
        "id": 36,
        "data_source": "Mono3DRefer",
        "scene_name": "000069",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.73, 0.21], \"boxes_2d\": [[130.0, 186.92, 355.47, 257.87], [501.21, 177.91, 556.47, 194.32]], \"boxes_3d\": [[1.47, 1.74, 4.26, -8.31, 1.82, 16.53], [1.36, 1.68, 4.49, -7.02, 1.82, 62.51]], \"ry\": [3.1, 0.1]}\n```"
            }
        ]
    },
    {
        "id": 37,
        "data_source": "Mono3DRefer",
        "scene_name": "000071",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.57], \"boxes_2d\": [[596.84, 174.1, 664.34, 239.31]], \"boxes_3d\": [[1.61, 1.66, 3.2, 0.51, 1.67, 19.58]], \"ry\": [-1.55]}\n```"
            }
        ]
    },
    {
        "id": 38,
        "data_source": "Mono3DRefer",
        "scene_name": "000078",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.78, 1.9, -1.47], \"boxes_2d\": [[615.97, 168.04, 651.65, 189.21], [222.78, 166.78, 454.29, 308.44], [658.66, 166.95, 697.19, 201.46]], \"boxes_3d\": [[1.43, 1.68, 4.19, 1.72, 1.13, 51.25], [1.7, 1.82, 4.45, -3.82, 1.66, 10.96], [1.57, 1.56, 2.62, 3.24, 1.32, 34.46]], \"ry\": [1.82, 1.58, -1.38]}\n```"
            }
        ]
    },
    {
        "id": 39,
        "data_source": "Mono3DRefer",
        "scene_name": "000079",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.45, -1.44, -1.08, -0.7, 1.83], \"boxes_2d\": [[669.49, 174.52, 700.47, 196.1], [701.01, 171.82, 742.42, 201.29], [357.22, 182.05, 567.87, 301.78], [0.0, 183.03, 326.6, 330.77], [483.32, 182.25, 518.76, 207.09]], \"boxes_3d\": [[1.32, 1.48, 4.44, 4.88, 1.45, 46.78], [1.42, 1.56, 4.16, 5.75, 1.39, 36.99], [1.45, 1.59, 3.44, -2.04, 1.61, 10.74], [1.51, 1.61, 4.31, -6.07, 1.67, 9.82], [1.44, 1.35, 3.23, -6.67, 2.03, 44.23]], \"ry\": [-1.35, -1.29, -1.26, -1.24, 1.68]}\n```"
            }
        ]
    },
    {
        "id": 40,
        "data_source": "Mono3DRefer",
        "scene_name": "000080",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.74, 1.64, -1.57], \"boxes_2d\": [[457.71, 176.44, 528.64, 229.39], [536.11, 176.89, 565.32, 202.72], [589.68, 172.46, 633.43, 216.04]], \"boxes_3d\": [[1.58, 1.6, 4.11, -3.79, 1.72, 23.79], [1.52, 1.55, 3.79, -3.68, 1.79, 44.92], [1.62, 1.63, 4.5, 0.02, 1.64, 29.39]], \"ry\": [1.59, 1.56, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 41,
        "data_source": "Mono3DRefer",
        "scene_name": "000083",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.92, -1.35, -1.58, -1.47, 1.77], \"boxes_2d\": [[0.0, 202.73, 361.84, 373.0], [368.92, 183.19, 504.02, 279.22], [587.82, 169.53, 643.17, 220.02], [519.33, 170.45, 571.86, 215.65], [463.38, 174.76, 511.89, 205.66]], \"boxes_3d\": [[1.47, 1.59, 4.03, -2.57, 1.64, 3.15], [1.41, 1.54, 3.36, -2.74, 1.45, 12.45], [1.52, 1.67, 4.38, 0.43, 1.16, 24.12], [1.56, 1.59, 3.65, -2.04, 1.18, 26.91], [1.42, 1.56, 4.16, -5.56, 1.11, 35.5]], \"ry\": [-1.57, -1.57, -1.56, -1.55, 1.61]}\n```"
            }
        ]
    },
    {
        "id": 42,
        "data_source": "Mono3DRefer",
        "scene_name": "000084",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.55, 1.46], \"boxes_2d\": [[459.33, 179.71, 505.68, 227.3], [448.2, 181.65, 486.43, 208.6]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.99, 1.96, 27.84], [1.47, 1.7, 4.39, -8.4, 1.99, 42.1]], \"ry\": [1.37, 1.26]}\n```"
            }
        ]
    },
    {
        "id": 43,
        "data_source": "Mono3DRefer",
        "scene_name": "000085",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.42], \"boxes_2d\": [[0.0, 179.86, 156.79, 244.69]], \"boxes_3d\": [[1.44, 1.62, 3.91, -13.19, 1.62, 17.05]], \"ry\": [-3.07]}\n```"
            }
        ]
    },
    {
        "id": 44,
        "data_source": "Mono3DRefer",
        "scene_name": "000087",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.2, -1.63, 3.11, 3.04], \"boxes_2d\": [[23.14, 183.9, 225.74, 258.36], [694.9, 174.26, 735.64, 207.53], [797.32, 169.25, 844.72, 185.72], [886.07, 166.52, 939.02, 185.61]], \"boxes_3d\": [[1.45, 1.59, 4.28, -10.88, 1.72, 16.52], [1.43, 1.59, 4.21, 4.79, 1.52, 33.48], [1.41, 1.59, 4.01, 18.87, 1.13, 64.7], [1.59, 1.64, 4.08, 26.27, 1.09, 62.79]], \"ry\": [1.63, -1.49, -2.89, -2.85]}\n```"
            }
        ]
    },
    {
        "id": 45,
        "data_source": "Mono3DRefer",
        "scene_name": "000088",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.49], \"boxes_2d\": [[175.86, 191.58, 373.02, 247.37]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.88, 1.89, 19.19]], \"ry\": [0.06]}\n```"
            }
        ]
    },
    {
        "id": 46,
        "data_source": "Mono3DRefer",
        "scene_name": "000089",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.33, -1.7, -1.41, -1.79, -1.54], \"boxes_2d\": [[317.74, 196.5, 504.71, 314.03], [657.48, 176.96, 720.62, 224.75], [458.28, 184.16, 538.75, 243.43], [704.25, 177.37, 853.41, 287.79], [635.02, 178.02, 665.21, 203.12]], \"boxes_3d\": [[1.33, 1.71, 4.09, -2.79, 1.75, 10.91], [1.49, 1.56, 4.34, 2.6, 1.65, 24.94], [1.42, 1.53, 4.12, -3.0, 1.75, 19.85], [1.59, 1.59, 3.89, 2.68, 1.69, 12.49], [1.38, 1.64, 3.51, 2.33, 1.69, 41.73]], \"ry\": [-1.58, -1.6, -1.56, -1.59, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 47,
        "data_source": "Mono3DRefer",
        "scene_name": "000090",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.82], \"boxes_2d\": [[5.08, 199.56, 126.68, 269.46]], \"boxes_3d\": [[1.57, 1.72, 3.52, -14.21, 2.3, 18.74]], \"ry\": [-2.46]}\n```"
            }
        ]
    },
    {
        "id": 48,
        "data_source": "Mono3DRefer",
        "scene_name": "000091",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.57], \"boxes_2d\": [[709.26, 175.05, 738.72, 203.83]], \"boxes_3d\": [[1.55, 1.57, 3.64, 6.46, 1.7, 41.1]], \"ry\": [-1.42]}\n```"
            }
        ]
    },
    {
        "id": 49,
        "data_source": "Mono3DRefer",
        "scene_name": "000093",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.1, -1.72, 1.94, 1.86, 1.72], \"boxes_2d\": [[0.0, 187.51, 326.99, 374.0], [722.86, 168.15, 812.89, 237.29], [246.99, 194.92, 425.43, 297.77], [359.29, 185.63, 479.38, 258.98], [550.61, 176.8, 587.13, 202.37]], \"boxes_3d\": [[1.61, 1.74, 4.06, -4.56, 1.79, 7.29], [1.77, 1.77, 5.1, 4.44, 1.69, 21.21], [1.39, 1.55, 3.65, -4.46, 1.81, 12.2], [1.46, 1.63, 3.92, -4.32, 1.79, 16.8], [1.47, 1.66, 3.76, -2.47, 1.72, 43.68]], \"ry\": [1.56, -1.52, 1.6, 1.61, 1.66]}\n```"
            }
        ]
    },
    {
        "id": 50,
        "data_source": "Mono3DRefer",
        "scene_name": "000095",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, -1.11, -0.98, -0.91, 2.03, 1.81, 1.76, 2.01, 1.92, 1.92, 2.0, 2.27, 2.45], \"boxes_2d\": [[599.12, 182.07, 667.54, 247.13], [774.94, 172.0, 963.28, 270.83], [705.57, 179.11, 802.71, 228.95], [673.38, 181.32, 757.07, 216.77], [146.16, 192.89, 340.09, 290.07], [452.35, 183.18, 509.3, 222.21], [527.28, 181.12, 563.95, 206.6], [241.74, 191.35, 355.4, 242.41], [327.5, 181.26, 399.59, 228.12], [410.89, 183.43, 465.31, 213.35], [486.69, 184.25, 533.31, 204.92], [71.71, 187.44, 194.72, 239.44], [87.38, 185.27, 204.23, 220.99]], \"boxes_3d\": [[1.56, 1.65, 3.69, 0.52, 1.82, 19.42], [1.54, 1.72, 3.88, 4.81, 1.54, 13.24], [1.52, 1.49, 3.46, 4.83, 1.75, 24.11], [1.39, 1.61, 3.65, 4.49, 1.77, 30.76], [1.52, 1.65, 4.1, -6.9, 1.96, 14.01], [1.6, 1.6, 3.77, -5.69, 2.07, 31.97], [1.61, 1.7, 3.97, -4.28, 2.18, 48.2], [1.45, 1.65, 4.63, -10.25, 2.12, 24.07], [1.81, 1.59, 3.93, -10.26, 2.18, 30.22], [1.56, 1.62, 4.19, -9.63, 2.18, 40.62], [1.42, 1.67, 4.53, -7.35, 2.29, 53.34], [1.47, 1.48, 3.21, -14.81, 1.95, 22.53], [1.47, 1.78, 4.34, -21.08, 2.07, 32.94]], \"ry\": [-1.57, -0.77, -0.79, -0.76, 1.58, 1.64, 1.67, 1.61, 1.59, 1.69, 1.86, 1.69, 1.88]}\n```"
            }
        ]
    },
    {
        "id": 51,
        "data_source": "Mono3DRefer",
        "scene_name": "000096",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.64, -0.48, 1.43, -0.41], \"boxes_2d\": [[783.79, 184.68, 1176.76, 339.87], [661.39, 160.21, 1003.28, 300.49], [505.85, 185.26, 557.04, 219.6], [639.45, 187.58, 879.59, 275.73]], \"boxes_3d\": [[1.41, 1.62, 3.6, 3.91, 1.57, 7.94], [1.77, 1.96, 4.39, 3.11, 1.63, 10.63], [1.37, 1.6, 4.5, -3.59, 1.94, 31.97], [1.4, 1.51, 3.98, 2.62, 1.69, 13.09]], \"ry\": [-0.19, -0.21, 1.32, -0.22]}\n```"
            }
        ]
    },
    {
        "id": 52,
        "data_source": "Mono3DRefer",
        "scene_name": "000097",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.85, -1.56], \"boxes_2d\": [[536.07, 176.04, 569.72, 194.78], [717.03, 174.45, 738.76, 193.71]], \"boxes_3d\": [[1.45, 1.59, 4.28, -4.6, 1.73, 58.47], [1.43, 1.59, 4.21, 9.2, 1.58, 56.31]], \"ry\": [1.77, -1.4]}\n```"
            }
        ]
    },
    {
        "id": 53,
        "data_source": "Mono3DRefer",
        "scene_name": "000100",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.46], \"boxes_2d\": [[19.88, 179.87, 206.64, 238.0]], \"boxes_3d\": [[1.44, 1.62, 3.91, -13.04, 1.64, 18.98]], \"ry\": [-3.05]}\n```"
            }
        ]
    },
    {
        "id": 54,
        "data_source": "Mono3DRefer",
        "scene_name": "000101",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, 2.22, 2.09], \"boxes_2d\": [[569.23, 177.21, 636.06, 240.52], [0.0, 212.95, 108.77, 265.03], [106.33, 200.09, 220.09, 253.47]], \"boxes_3d\": [[1.55, 1.63, 3.32, -0.22, 1.68, 19.47], [1.4, 1.85, 4.11, -19.15, 2.85, 24.13], [1.62, 1.85, 3.57, -15.54, 2.63, 25.25]], \"ry\": [-1.57, 1.56, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 55,
        "data_source": "Mono3DRefer",
        "scene_name": "000104",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.51, 2.13, 1.88, 1.77, 1.76, 1.73, -1.53], \"boxes_2d\": [[818.86, 180.55, 882.54, 238.79], [362.79, 181.57, 534.13, 261.63], [610.21, 182.8, 684.9, 222.12], [683.05, 182.45, 729.23, 213.01], [713.77, 181.24, 750.23, 207.65], [739.72, 181.11, 769.04, 203.92], [855.51, 185.67, 886.83, 212.32]], \"boxes_3d\": [[1.65, 1.67, 3.64, 7.57, 1.91, 22.62], [1.47, 1.57, 4.24, -3.36, 1.68, 15.69], [1.4, 1.68, 4.45, 1.55, 1.82, 28.61], [1.45, 1.62, 3.77, 4.93, 1.96, 36.89], [1.53, 1.46, 4.18, 7.56, 2.07, 44.59], [1.59, 1.57, 3.39, 10.52, 2.2, 52.53], [1.5, 1.61, 4.07, 15.93, 2.31, 43.98]], \"ry\": [-1.19, 1.93, 1.93, 1.9, 1.92, 1.92, -1.18]}\n```"
            }
        ]
    },
    {
        "id": 56,
        "data_source": "Mono3DRefer",
        "scene_name": "000106",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.59, 2.18, 2.07, 1.78], \"boxes_2d\": [[603.07, 177.15, 630.68, 204.3], [0.0, 202.63, 204.81, 291.54], [167.11, 187.32, 280.23, 244.78], [449.26, 183.72, 483.4, 204.87]], \"boxes_3d\": [[1.65, 1.67, 3.64, 0.38, 1.94, 46.12], [1.33, 1.46, 3.87, -9.63, 1.97, 13.8], [1.63, 1.5, 3.83, -12.2, 2.11, 22.99], [1.46, 1.58, 4.32, -10.56, 2.28, 53.19]], \"ry\": [-1.58, 1.58, 1.59, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 57,
        "data_source": "Mono3DRefer",
        "scene_name": "000107",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.08, -1.85, -1.75, -1.44, -1.67, -1.64, -1.62], \"boxes_2d\": [[812.76, 184.44, 1241.0, 374.0], [733.06, 182.54, 934.34, 317.95], [683.98, 178.38, 792.24, 258.45], [470.09, 178.3, 539.83, 233.3], [671.73, 179.32, 733.51, 228.42], [650.51, 179.32, 692.59, 214.58], [634.97, 177.56, 666.89, 203.78]], \"boxes_3d\": [[1.46, 1.56, 4.11, 2.54, 1.55, 4.31], [1.45, 1.49, 3.79, 2.73, 1.6, 9.79], [1.5, 1.53, 4.13, 2.6, 1.64, 15.74], [1.58, 1.65, 3.91, -3.28, 1.77, 22.89], [1.47, 1.57, 4.09, 2.94, 1.69, 23.86], [1.45, 1.58, 3.53, 2.63, 1.75, 31.83], [1.46, 1.67, 4.4, 2.36, 1.76, 42.96]], \"ry\": [-1.58, -1.58, -1.59, -1.58, -1.55, -1.56, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 58,
        "data_source": "Mono3DRefer",
        "scene_name": "000108",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.58], \"boxes_2d\": [[568.94, 172.64, 674.17, 273.99]], \"boxes_3d\": [[1.66, 1.73, 3.05, 0.14, 1.68, 13.49]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 59,
        "data_source": "Mono3DRefer",
        "scene_name": "000110",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.5, 1.73, 1.75, -0.35, -2.09, -2.13, 1.77, 1.45, -1.46], \"boxes_2d\": [[862.65, 129.39, 1241.0, 304.96], [346.64, 175.63, 449.93, 248.9], [420.44, 170.72, 540.83, 256.12], [815.59, 143.96, 962.82, 198.54], [966.1, 144.74, 1039.76, 182.96], [1004.98, 144.16, 1087.13, 178.96], [407.73, 178.44, 487.07, 230.28], [657.19, 166.33, 702.65, 198.71], [599.3, 171.76, 631.96, 197.12]], \"boxes_3d\": [[1.73, 1.74, 4.71, 5.5, 1.3, 8.19], [1.58, 1.76, 4.18, -5.13, 1.67, 17.86], [1.65, 1.88, 4.45, -2.78, 1.64, 16.3], [1.9, 1.78, 4.72, 10.19, 0.9, 26.65], [1.8, 1.65, 3.55, 19.49, 0.49, 35.99], [1.64, 1.7, 3.91, 21.91, 0.3, 36.47], [1.55, 1.71, 4.5, -5.35, 1.76, 24.13], [1.5, 1.71, 4.44, 3.39, 1.22, 35.96], [1.58, 1.71, 3.75, 0.39, 1.54, 47.31]], \"ry\": [3.07, 1.46, 1.58, 0.01, -1.59, -1.59, 1.55, 1.55, -1.45]}\n```"
            }
        ]
    },
    {
        "id": 60,
        "data_source": "Mono3DRefer",
        "scene_name": "000111",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.85, 1.43, -1.59, 1.81, -1.01, -0.96, -0.93, -0.87, 1.85, 1.83], \"boxes_2d\": [[372.76, 177.51, 404.38, 199.68], [135.31, 178.56, 175.28, 203.7], [591.97, 174.6, 640.35, 220.36], [386.09, 185.25, 455.28, 225.54], [738.48, 169.58, 918.26, 253.0], [684.2, 174.95, 809.64, 227.09], [682.09, 169.25, 770.32, 211.71], [646.27, 173.34, 712.42, 199.45], [393.82, 175.82, 444.37, 206.32], [425.76, 175.42, 465.53, 200.91]], \"boxes_3d\": [[1.47, 1.29, 2.95, -15.21, 1.8, 49.6], [1.48, 1.59, 3.66, -28.28, 1.86, 44.78], [1.56, 1.65, 3.69, 0.16, 1.65, 26.69], [1.37, 1.64, 3.92, -7.11, 1.86, 27.32], [1.49, 1.59, 4.09, 4.54, 1.44, 14.81], [1.4, 1.63, 4.05, 4.1, 1.47, 21.44], [1.61, 1.67, 3.65, 4.72, 1.49, 29.23], [1.49, 1.63, 4.16, 4.17, 1.53, 43.22], [1.67, 1.68, 4.49, -11.09, 1.86, 42.11], [1.63, 1.58, 4.2, -11.03, 1.82, 48.57]], \"ry\": [1.56, 0.87, -1.58, 1.55, -0.72, -0.78, -0.78, -0.78, 1.59, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 61,
        "data_source": "Mono3DRefer",
        "scene_name": "000113",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.75, -1.33, -1.18, -1.51, -1.85, -1.62, -1.9, -1.02, -0.98], \"boxes_2d\": [[924.07, 136.19, 1241.0, 374.0], [318.14, 182.8, 401.33, 229.76], [214.55, 166.45, 318.87, 230.67], [455.9, 171.22, 499.06, 205.38], [692.53, 171.83, 770.72, 215.35], [573.97, 163.73, 607.83, 193.3], [745.82, 166.87, 827.42, 212.81], [37.15, 187.2, 172.25, 237.32], [0.0, 192.82, 32.87, 233.67]], \"boxes_3d\": [[1.75, 1.84, 4.43, 4.23, 1.53, 7.09], [1.48, 1.71, 4.65, -8.76, 1.84, 25.53], [2.04, 1.66, 4.62, -11.97, 1.87, 25.43], [1.42, 1.64, 3.95, -5.92, 1.38, 32.39], [1.51, 1.72, 4.5, 4.5, 1.51, 27.59], [1.7, 1.8, 4.5, -1.24, 1.2, 44.05], [1.64, 1.73, 4.43, 6.77, 1.46, 28.28], [1.53, 1.61, 4.73, -17.54, 2.06, 25.31], [1.4, 1.56, 3.48, -22.11, 2.13, 25.07]], \"ry\": [-1.23, -1.66, -1.62, -1.69, -1.69, -1.65, -1.66, -1.62, -1.7]}\n```"
            }
        ]
    },
    {
        "id": 62,
        "data_source": "Mono3DRefer",
        "scene_name": "000116",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.7, -1.44, 1.18, -1.72], \"boxes_2d\": [[495.51, 181.48, 548.24, 222.91], [563.32, 177.53, 606.36, 208.9], [793.39, 146.43, 1130.33, 369.18], [682.29, 172.91, 753.25, 230.45]], \"boxes_3d\": [[1.55, 1.64, 3.7, -3.54, 1.91, 29.23], [1.63, 1.81, 4.54, -1.36, 1.91, 40.16], [1.77, 1.63, 4.1, 3.31, 1.59, 7.85], [1.69, 1.64, 4.21, 3.38, 1.73, 23.57]], \"ry\": [1.58, -1.48, 1.57, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 63,
        "data_source": "Mono3DRefer",
        "scene_name": "000119",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.8, 1.7, 1.66], \"boxes_2d\": [[381.63, 186.6, 479.85, 256.4], [496.82, 183.63, 587.26, 252.05], [519.34, 180.25, 550.61, 206.65]], \"boxes_3d\": [[1.4, 1.45, 3.3, -4.05, 1.74, 16.55], [1.4, 1.63, 3.89, -1.53, 1.67, 17.03], [1.38, 1.33, 4.32, -4.17, 1.8, 40.28]], \"ry\": [1.56, 1.61, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 64,
        "data_source": "Mono3DRefer",
        "scene_name": "000121",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.08, 1.85, -1.51, -1.36], \"boxes_2d\": [[340.31, 183.86, 415.2, 224.13], [487.45, 180.67, 524.76, 205.44], [721.67, 170.45, 752.7, 196.14], [637.5, 172.08, 683.95, 202.02]], \"boxes_3d\": [[1.44, 1.35, 3.23, -8.97, 1.89, 27.99], [1.46, 1.37, 3.45, -6.43, 1.96, 44.77], [1.45, 1.59, 3.44, 7.57, 1.34, 42.88], [1.51, 1.61, 4.31, 2.76, 1.5, 38.75]], \"ry\": [1.77, 1.71, -1.33, -1.29]}\n```"
            }
        ]
    },
    {
        "id": 65,
        "data_source": "Mono3DRefer",
        "scene_name": "000122",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.58], \"boxes_2d\": [[581.54, 177.91, 650.72, 244.53]], \"boxes_3d\": [[1.66, 1.73, 3.05, 0.11, 1.82, 19.73]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 66,
        "data_source": "Mono3DRefer",
        "scene_name": "000123",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.68], \"boxes_2d\": [[602.41, 176.05, 634.63, 198.55]], \"boxes_3d\": [[1.44, 1.68, 4.39, 0.6, 1.67, 48.73]], \"ry\": [1.7]}\n```"
            }
        ]
    },
    {
        "id": 67,
        "data_source": "Mono3DRefer",
        "scene_name": "000125",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, -2.4, 1.87, -2.27, -2.58, 1.92, 1.8], \"boxes_2d\": [[518.63, 165.68, 740.8, 374.0], [207.64, 191.87, 314.06, 224.57], [376.83, 185.26, 418.16, 205.23], [62.38, 201.43, 144.37, 232.69], [327.61, 183.69, 399.92, 214.87], [335.04, 187.99, 374.41, 208.15], [425.88, 181.46, 464.31, 201.44]], \"boxes_3d\": [[1.55, 1.63, 3.32, 0.1, 1.52, 7.01], [1.46, 1.85, 4.52, -16.75, 2.4, 34.57], [1.37, 1.82, 3.96, -15.63, 2.31, 53.18], [1.52, 1.8, 3.3, -26.45, 3.04, 37.65], [1.6, 1.6, 3.29, -13.14, 2.2, 38.47], [1.38, 1.79, 2.94, -18.58, 2.51, 52.57], [1.4, 1.75, 4.75, -12.29, 2.06, 53.93]], \"ry\": [-1.57, -2.85, 1.59, -2.88, -2.91, 1.59, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 68,
        "data_source": "Mono3DRefer",
        "scene_name": "000128",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.17], \"boxes_2d\": [[6.2, 184.24, 193.57, 262.33]], \"boxes_3d\": [[1.84, 2.04, 4.33, -13.63, 2.18, 19.61]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 69,
        "data_source": "Mono3DRefer",
        "scene_name": "000129",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.15, 1.95, 1.88, 1.84, 1.82, 1.77], \"boxes_2d\": [[53.08, 185.99, 265.42, 288.46], [301.7, 185.67, 399.78, 235.31], [385.9, 175.79, 451.78, 221.27], [429.43, 183.6, 476.76, 214.77], [451.47, 178.0, 500.72, 211.1], [497.01, 180.44, 532.54, 203.57]], \"boxes_3d\": [[1.73, 1.6, 4.11, -8.86, 2.02, 14.58], [1.47, 1.63, 4.11, -8.54, 1.92, 24.02], [1.8, 1.61, 3.83, -8.09, 1.95, 30.74], [1.45, 1.45, 3.4, -7.78, 2.0, 35.85], [1.75, 1.71, 4.31, -7.51, 2.06, 40.69], [1.53, 1.66, 4.01, -6.6, 2.06, 50.21]], \"ry\": [1.61, 1.62, 1.62, 1.62, 1.63, 1.64]}\n```"
            }
        ]
    },
    {
        "id": 70,
        "data_source": "Mono3DRefer",
        "scene_name": "000131",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.69, -0.93, 2.43, 2.07, -1.12, -1.3], \"boxes_2d\": [[205.19, 186.62, 358.07, 240.66], [442.96, 178.65, 530.25, 217.98], [208.95, 180.57, 327.36, 223.32], [459.14, 174.29, 520.51, 205.65], [576.15, 174.56, 629.6, 202.46], [711.82, 173.54, 737.26, 190.13]], \"boxes_3d\": [[1.35, 1.6, 3.86, -9.36, 1.78, 20.79], [1.49, 1.53, 3.8, -5.01, 1.74, 29.57], [1.49, 1.34, 4.25, -13.04, 1.81, 27.73], [1.72, 1.53, 4.55, -6.95, 1.83, 42.04], [1.49, 1.56, 3.65, -0.38, 1.6, 40.56], [1.44, 1.46, 3.16, 10.3, 1.52, 64.8]], \"ry\": [-1.11, -1.09, 1.99, 1.9, -1.13, -1.15]}\n```"
            }
        ]
    },
    {
        "id": 71,
        "data_source": "Mono3DRefer",
        "scene_name": "000137",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, 1.89, 1.8], \"boxes_2d\": [[595.95, 175.74, 627.85, 206.45], [317.87, 186.6, 376.12, 218.12], [426.78, 182.03, 458.71, 202.32]], \"boxes_3d\": [[1.66, 1.73, 3.05, 0.07, 1.85, 41.01], [1.5, 1.8, 3.46, -13.5, 2.23, 37.14], [1.54, 1.66, 3.72, -13.36, 2.29, 57.74]], \"ry\": [-1.57, 1.55, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 72,
        "data_source": "Mono3DRefer",
        "scene_name": "000138",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.95, 1.8, -1.14, 1.97, 1.63, 1.67, -1.56], \"boxes_2d\": [[38.45, 181.56, 140.57, 224.81], [382.74, 181.02, 491.72, 251.1], [269.6, 176.91, 317.85, 202.62], [307.38, 175.77, 355.18, 199.29], [547.16, 176.49, 571.08, 194.74], [506.46, 172.23, 549.63, 209.98], [586.18, 174.11, 623.76, 211.54]], \"boxes_3d\": [[1.56, 1.72, 3.09, -20.09, 1.91, 27.95], [1.46, 1.59, 4.12, -4.03, 1.67, 17.29], [1.57, 1.57, 3.32, -20.26, 1.85, 46.28], [1.57, 1.2, 5.24, -19.72, 1.8, 51.21], [1.41, 1.69, 4.36, -4.11, 1.73, 58.61], [1.72, 1.66, 4.32, -3.99, 1.73, 35.41], [1.62, 1.63, 4.5, -0.24, 1.71, 33.84]], \"ry\": [-1.57, 1.58, -1.55, 1.61, 1.56, 1.56, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 73,
        "data_source": "Mono3DRefer",
        "scene_name": "000139",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.57], \"boxes_2d\": [[594.35, 177.97, 621.4, 204.02]], \"boxes_3d\": [[1.66, 1.73, 3.05, -0.16, 2.02, 48.08]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 74,
        "data_source": "Mono3DRefer",
        "scene_name": "000141",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.79], \"boxes_2d\": [[405.52, 184.59, 530.15, 263.84]], \"boxes_3d\": [[1.44, 1.68, 4.39, -2.94, 1.71, 15.64]], \"ry\": [1.61]}\n```"
            }
        ]
    },
    {
        "id": 75,
        "data_source": "Mono3DRefer",
        "scene_name": "000142",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.07, -1.81, -1.74, -1.67, 1.67, 1.8, 2.21, 1.95, 1.88], \"boxes_2d\": [[835.06, 166.73, 1241.0, 374.0], [726.07, 154.71, 916.86, 306.71], [688.52, 153.34, 806.1, 252.85], [678.28, 170.36, 747.97, 231.25], [530.82, 167.68, 560.49, 197.37], [428.14, 178.08, 495.67, 225.49], [0.0, 197.78, 273.61, 374.0], [197.05, 186.01, 398.12, 301.0], [337.15, 176.21, 452.69, 252.15]], \"boxes_3d\": [[1.57, 1.54, 3.22, 2.86, 1.56, 5.12], [1.74, 1.6, 3.86, 2.7, 1.56, 10.24], [1.83, 1.69, 4.44, 2.74, 1.5, 15.58], [1.61, 1.62, 3.78, 2.9, 1.57, 21.17], [1.86, 1.57, 3.83, -4.22, 1.56, 47.51], [1.5, 1.46, 3.7, -5.05, 1.69, 24.84], [1.54, 1.54, 3.72, -5.07, 1.84, 7.13], [1.57, 1.6, 4.24, -5.08, 1.82, 12.3], [1.65, 1.61, 3.73, -5.17, 1.75, 17.71]], \"ry\": [-1.59, -1.56, -1.57, -1.53, 1.58, 1.6, 1.61, 1.57, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 76,
        "data_source": "Mono3DRefer",
        "scene_name": "000143",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.7, 2.21, 1.98], \"boxes_2d\": [[940.46, 180.55, 1003.22, 202.15], [4.58, 199.18, 128.63, 248.05], [120.97, 201.18, 178.0, 228.44]], \"boxes_3d\": [[1.42, 1.58, 3.48, 24.71, 1.96, 49.38], [1.49, 1.81, 3.36, -18.95, 2.47, 25.29], [1.41, 1.64, 3.22, -26.81, 3.12, 42.07]], \"ry\": [-3.13, 1.57, 1.42]}\n```"
            }
        ]
    },
    {
        "id": 77,
        "data_source": "Mono3DRefer",
        "scene_name": "000144",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.18, -2.17, 1.71], \"boxes_2d\": [[0.0, 202.35, 277.49, 374.0], [919.98, 162.0, 1241.0, 374.0], [472.82, 172.55, 524.05, 220.8]], \"boxes_3d\": [[1.5, 1.46, 3.7, -5.07, 1.86, 7.38], [1.61, 1.62, 3.78, 2.96, 1.58, 3.44], [1.86, 1.57, 3.83, -4.6, 1.88, 29.98]], \"ry\": [1.59, -1.5, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 78,
        "data_source": "Mono3DRefer",
        "scene_name": "000145",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.16, -2.24, 0.89, -1.63], \"boxes_2d\": [[960.87, 180.9, 1069.16, 229.09], [1034.19, 183.18, 1155.16, 229.33], [1097.59, 183.53, 1223.0, 230.26], [601.61, 171.69, 637.7, 199.9]], \"boxes_3d\": [[1.48, 1.56, 3.33, 13.75, 1.51, 23.96], [1.4, 1.59, 3.35, 16.37, 1.51, 23.86], [1.44, 1.5, 3.8, 19.16, 1.57, 24.48], [1.39, 1.64, 4.51, 0.72, 0.95, 37.7]], \"ry\": [-1.64, -1.65, 1.54, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 79,
        "data_source": "Mono3DRefer",
        "scene_name": "000148",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.39], \"boxes_2d\": [[782.12, 174.04, 860.47, 203.67]], \"boxes_3d\": [[1.62, 1.72, 4.35, 12.19, 1.72, 41.96]], \"ry\": [-2.11]}\n```"
            }
        ]
    },
    {
        "id": 80,
        "data_source": "Mono3DRefer",
        "scene_name": "000150",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.55, 1.75, 1.64], \"boxes_2d\": [[565.58, 175.41, 616.95, 225.13], [453.46, 183.22, 494.9, 211.37], [531.96, 177.58, 560.16, 199.7]], \"boxes_3d\": [[1.61, 1.66, 3.2, -0.66, 1.72, 25.21], [1.4, 1.51, 3.7, -7.22, 1.97, 38.47], [1.46, 1.66, 4.05, -4.43, 1.81, 50.24]], \"ry\": [-1.58, 1.57, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 81,
        "data_source": "Mono3DRefer",
        "scene_name": "000151",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.86, -0.39], \"boxes_2d\": [[0.0, 200.41, 303.17, 369.0], [845.82, 161.32, 1004.89, 210.46]], \"boxes_3d\": [[1.5, 1.78, 3.69, -3.17, 1.67, 3.35], [1.45, 1.75, 4.23, 10.03, 0.89, 22.42]], \"ry\": [-1.57, 0.03]}\n```"
            }
        ]
    },
    {
        "id": 82,
        "data_source": "Mono3DRefer",
        "scene_name": "000153",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.64], \"boxes_2d\": [[669.6, 159.28, 704.34, 194.51]], \"boxes_3d\": [[1.91, 1.65, 4.4, 4.69, 0.75, 40.87]], \"ry\": [-1.53]}\n```"
            }
        ]
    },
    {
        "id": 83,
        "data_source": "Mono3DRefer",
        "scene_name": "000157",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.37, -1.04, -0.75, -0.6, -1.82, -1.63], \"boxes_2d\": [[1201.15, 177.29, 1241.0, 360.68], [891.44, 125.59, 1231.34, 319.09], [656.98, 173.08, 892.62, 262.76], [581.09, 183.36, 728.9, 244.92], [319.23, 192.29, 406.17, 238.46], [219.4, 194.58, 279.65, 242.44]], \"boxes_3d\": [[1.48, 1.71, 4.65, 7.34, 1.5, 6.51], [2.04, 1.66, 4.62, 5.94, 1.54, 9.42], [1.53, 1.61, 4.73, 3.32, 1.56, 14.36], [1.4, 1.56, 3.48, 1.13, 1.69, 18.4], [1.27, 1.66, 4.06, -8.01, 1.93, 23.03], [1.48, 1.67, 4.5, -13.1, 2.31, 26.02]], \"ry\": [-0.55, -0.49, -0.53, -0.54, -2.15, -2.09]}\n```"
            }
        ]
    },
    {
        "id": 84,
        "data_source": "Mono3DRefer",
        "scene_name": "000160",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.7, 1.65, 1.91, -1.57], \"boxes_2d\": [[493.84, 183.02, 549.17, 226.05], [558.47, 180.63, 580.7, 200.5], [343.69, 179.05, 379.71, 203.45], [591.6, 179.67, 633.03, 220.94]], \"boxes_3d\": [[1.48, 1.62, 3.21, -3.27, 1.87, 26.83], [1.55, 1.51, 3.75, -3.27, 2.19, 58.69], [1.92, 1.58, 3.93, -20.4, 2.45, 59.38], [1.62, 1.63, 4.5, 0.05, 1.93, 30.9]], \"ry\": [1.58, 1.59, 1.58, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 85,
        "data_source": "Mono3DRefer",
        "scene_name": "000162",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.93, -1.03, -0.76, -1.58], \"boxes_2d\": [[3.64, 173.55, 121.62, 220.64], [135.24, 175.95, 207.63, 209.55], [159.36, 166.92, 223.25, 195.21], [573.87, 171.69, 633.19, 230.82]], \"boxes_3d\": [[1.69, 1.74, 3.76, -21.18, 1.74, 28.06], [1.55, 1.39, 3.55, -21.47, 1.72, 35.41], [1.72, 1.76, 3.14, -26.5, 1.38, 45.71], [1.62, 1.63, 4.5, -0.26, 1.62, 22.26]], \"ry\": [-1.57, -1.57, -1.28, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 86,
        "data_source": "Mono3DRefer",
        "scene_name": "000163",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.77, -2.85, -1.81, -1.91, -2.91, -2.95, -2.93], \"boxes_2d\": [[258.45, 164.94, 438.13, 248.04], [321.99, 171.43, 472.77, 230.26], [804.72, 152.49, 871.5, 197.29], [857.19, 161.47, 917.02, 193.08], [374.76, 175.04, 495.42, 216.99], [398.89, 175.33, 492.56, 214.08], [404.63, 167.36, 515.88, 208.73]], \"boxes_3d\": [[1.86, 1.69, 3.69, -6.23, 1.71, 17.33], [1.68, 1.69, 4.07, -6.42, 1.67, 21.94], [2.04, 1.99, 4.82, 11.1, 1.14, 35.55], [1.49, 1.56, 3.88, 13.84, 0.98, 36.31], [1.48, 1.56, 4.12, 0.23, 1.59, 26.95], [1.51, 1.59, 3.5, 0.0, 1.64, 29.62], [1.74, 1.75, 4.57, -6.63, 1.54, 32.08]], \"ry\": [-3.12, -3.13, -1.51, -1.55, 3.14, 3.11, -3.13]}\n```"
            }
        ]
    },
    {
        "id": 87,
        "data_source": "Mono3DRefer",
        "scene_name": "000165",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.07, -2.27, -2.27, -1.54, -1.57, -2.14], \"boxes_2d\": [[356.62, 163.82, 486.03, 243.24], [412.04, 177.09, 511.76, 221.61], [443.08, 167.94, 536.35, 215.62], [583.11, 173.29, 617.63, 204.61], [581.95, 178.78, 636.65, 223.24], [287.29, 164.14, 471.26, 259.37]], \"boxes_3d\": [[1.83, 1.64, 3.71, -4.97, 1.65, 18.58], [1.5, 1.58, 3.57, -5.42, 1.67, 26.07], [1.8, 1.63, 3.79, -4.91, 1.64, 29.02], [1.52, 1.67, 3.61, -0.48, 1.57, 37.12], [1.36, 1.69, 3.38, -0.06, 1.58, 24.12], [1.76, 1.74, 4.16, -5.02, 1.63, 15.29]], \"ry\": [-2.32, -2.48, -2.43, -1.56, -1.57, -2.45]}\n```"
            }
        ]
    },
    {
        "id": 88,
        "data_source": "Mono3DRefer",
        "scene_name": "000166",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.3, -1.17, -1.1, -1.55], \"boxes_2d\": [[0.0, 175.12, 44.6, 219.59], [296.49, 172.8, 339.4, 192.06], [222.16, 157.13, 275.57, 189.98], [570.67, 169.82, 616.94, 215.92]], \"boxes_3d\": [[1.47, 1.82, 3.03, -21.13, 1.56, 24.21], [1.42, 1.68, 3.93, -22.58, 1.45, 55.87], [2.48, 1.81, 4.73, -28.61, 1.32, 57.29], [1.62, 1.63, 4.5, -0.62, 1.55, 27.9]], \"ry\": [1.59, -1.56, -1.56, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 89,
        "data_source": "Mono3DRefer",
        "scene_name": "000168",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.59, -1.49, 2.52, 2.24], \"boxes_2d\": [[553.89, 184.63, 598.47, 220.55], [502.27, 183.99, 537.52, 210.78], [837.66, 190.04, 921.14, 223.55], [955.63, 189.82, 1046.94, 226.08]], \"boxes_3d\": [[1.26, 1.6, 3.56, -1.39, 1.73, 27.81], [1.37, 1.63, 3.57, -4.95, 2.0, 39.72], [1.38, 1.35, 3.3, 11.95, 2.18, 32.11], [1.59, 1.73, 4.02, 18.79, 2.44, 34.7]], \"ry\": [-1.64, -1.61, 2.87, 2.73]}\n```"
            }
        ]
    },
    {
        "id": 90,
        "data_source": "Mono3DRefer",
        "scene_name": "000172",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, -1.56, -2.09, -1.77, -1.73, -1.68, 2.12, 1.95, -1.62], \"boxes_2d\": [[582.19, 170.67, 618.01, 204.75], [596.79, 165.06, 626.58, 196.12], [822.23, 180.98, 1241.0, 374.0], [727.09, 171.5, 890.13, 304.24], [708.59, 168.99, 814.5, 253.27], [658.22, 164.22, 711.5, 212.42], [0.0, 189.21, 251.43, 303.15], [257.04, 181.46, 376.13, 243.67], [637.51, 167.98, 661.53, 190.65]], \"boxes_3d\": [[1.54, 1.63, 3.67, -0.5, 1.47, 34.89], [1.77, 1.69, 4.32, 0.1, 1.35, 43.65], [1.49, 1.55, 3.93, 2.78, 1.56, 4.83], [1.54, 1.48, 3.17, 2.53, 1.55, 10.02], [1.54, 1.55, 3.51, 2.99, 1.5, 15.07], [1.74, 1.62, 4.13, 2.84, 1.46, 28.4], [1.51, 1.58, 4.16, -7.85, 1.82, 12.07], [1.51, 1.65, 3.94, -7.91, 1.76, 19.75], [1.6, 1.56, 3.45, 2.86, 1.28, 53.1]], \"ry\": [-1.58, -1.56, -1.6, -1.53, -1.54, -1.58, 1.56, 1.57, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 91,
        "data_source": "Mono3DRefer",
        "scene_name": "000176",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.72, 1.69, 1.81, -2.15, 1.77], \"boxes_2d\": [[500.99, 164.61, 585.54, 243.1], [553.91, 169.52, 615.84, 225.81], [624.61, 179.02, 669.6, 207.09], [844.52, 209.22, 1241.0, 374.0], [425.86, 182.0, 542.59, 273.89]], \"boxes_3d\": [[1.91, 1.66, 4.22, -1.75, 1.73, 19.75], [1.83, 1.69, 4.28, -0.84, 1.75, 25.71], [1.51, 1.63, 4.03, 2.14, 1.87, 41.12], [1.48, 1.6, 3.79, 2.5, 1.74, 3.48], [1.56, 1.55, 3.64, -2.38, 1.75, 14.22]], \"ry\": [1.63, 1.66, 1.86, -1.57, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 92,
        "data_source": "Mono3DRefer",
        "scene_name": "000177",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.67], \"boxes_2d\": [[347.96, 180.67, 438.56, 211.43]], \"boxes_3d\": [[1.44, 1.62, 3.91, -10.57, 1.84, 35.17]], \"ry\": [-2.96]}\n```"
            }
        ]
    },
    {
        "id": 93,
        "data_source": "Mono3DRefer",
        "scene_name": "000179",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[591.44, 175.51, 657.28, 239.12]], \"boxes_3d\": [[1.61, 1.66, 3.2, 0.38, 1.7, 20.03]], \"ry\": [-1.54]}\n```"
            }
        ]
    },
    {
        "id": 94,
        "data_source": "Mono3DRefer",
        "scene_name": "000180",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.67, 0.19], \"boxes_2d\": [[541.04, 181.47, 566.39, 197.81], [439.69, 183.58, 507.67, 206.66]], \"boxes_3d\": [[1.37, 1.79, 4.16, -4.94, 2.14, 63.6], [1.56, 1.71, 4.5, -9.7, 2.35, 51.41]], \"ry\": [1.6, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 95,
        "data_source": "Mono3DRefer",
        "scene_name": "000183",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.18, -2.62, 1.45, -1.64, 1.64, -1.45], \"boxes_2d\": [[884.54, 170.7, 1241.0, 374.0], [51.28, 170.11, 365.03, 305.68], [682.05, 167.43, 741.3, 220.29], [662.5, 169.09, 696.78, 200.09], [551.51, 176.39, 580.12, 200.97], [589.23, 172.87, 618.3, 193.97]], \"boxes_3d\": [[1.46, 1.67, 4.4, 2.8, 1.46, 3.31], [1.8, 1.62, 3.7, -5.76, 1.79, 10.54], [1.77, 1.63, 4.1, 3.61, 1.62, 26.48], [1.69, 1.64, 4.21, 3.97, 1.52, 41.94], [1.55, 1.64, 3.7, -2.92, 1.8, 47.83], [1.63, 1.81, 4.54, -0.48, 1.66, 58.69]], \"ry\": [-1.52, -3.11, 1.59, -1.55, 1.58, -1.46]}\n```"
            }
        ]
    },
    {
        "id": 96,
        "data_source": "Mono3DRefer",
        "scene_name": "000184",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.4, 1.93, 1.87, -1.6, 2.74], \"boxes_2d\": [[611.04, 177.87, 643.08, 201.09], [443.04, 184.18, 500.28, 217.8], [474.35, 176.63, 523.09, 212.88], [659.04, 175.49, 688.54, 202.59], [962.47, 162.51, 1053.22, 192.8]], \"boxes_3d\": [[1.54, 1.63, 3.67, 1.2, 1.91, 50.21], [1.56, 1.59, 3.69, -6.87, 2.14, 35.99], [1.93, 1.59, 4.01, -6.24, 2.16, 40.7], [1.58, 1.67, 3.84, 3.87, 1.77, 44.49], [1.39, 1.51, 3.49, 19.05, 0.93, 34.71]], \"ry\": [-1.38, 1.74, 1.72, -1.52, -3.04]}\n```"
            }
        ]
    },
    {
        "id": 97,
        "data_source": "Mono3DRefer",
        "scene_name": "000185",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.28, 1.86, 1.75, 1.82, 1.87, 1.87], \"boxes_2d\": [[0.0, 206.52, 264.52, 374.0], [181.07, 157.35, 454.31, 374.0], [400.82, 173.04, 526.56, 281.06], [544.45, 185.49, 606.56, 225.44], [586.23, 184.08, 635.02, 217.72], [630.37, 185.26, 673.44, 212.54]], \"boxes_3d\": [[1.56, 1.55, 3.64, -3.09, 1.77, 3.03], [1.91, 1.66, 4.22, -3.06, 1.8, 8.43], [1.83, 1.69, 4.28, -2.79, 1.86, 14.46], [1.51, 1.63, 4.03, -1.39, 2.06, 30.09], [1.57, 1.44, 3.6, 0.05, 2.16, 36.27], [1.47, 1.51, 3.5, 2.43, 2.2, 41.59]], \"ry\": [1.53, 1.52, 1.56, 1.77, 1.87, 1.92]}\n```"
            }
        ]
    },
    {
        "id": 98,
        "data_source": "Mono3DRefer",
        "scene_name": "000191",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -0.71, -1.19, -1.35, -1.29, -1.42, -0.89, -1.12, -1.21], \"boxes_2d\": [[577.55, 178.14, 614.2, 211.56], [0.0, 206.71, 198.09, 375.0], [233.74, 188.79, 362.78, 253.97], [373.86, 190.62, 501.68, 272.04], [358.25, 184.88, 432.5, 227.53], [462.02, 184.85, 518.69, 221.0], [0.0, 188.07, 124.51, 269.52], [206.69, 187.95, 303.2, 230.07], [289.34, 179.48, 361.92, 217.7]], \"boxes_3d\": [[1.6, 1.76, 3.84, -0.64, 1.25, 36.71], [1.48, 1.64, 3.81, -3.52, 1.64, 2.74], [1.39, 1.62, 3.73, -7.57, 1.51, 17.87], [1.37, 1.61, 4.21, -3.37, 1.52, 14.87], [1.45, 1.64, 3.86, -7.92, 1.46, 27.05], [1.38, 1.71, 4.49, -4.93, 1.39, 30.53], [1.49, 1.59, 4.32, -12.27, 1.58, 14.83], [1.33, 1.55, 3.83, -12.48, 1.46, 25.63], [1.63, 1.71, 4.13, -12.87, 1.38, 32.99]], \"ry\": [-1.59, -1.58, -1.58, -1.56, -1.57, -1.58, -1.57, -1.57, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 99,
        "data_source": "Mono3DRefer",
        "scene_name": "000192",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -0.93, -1.1, -1.42, -1.44], \"boxes_2d\": [[573.15, 179.59, 605.63, 209.19], [0.0, 188.97, 175.41, 325.79], [140.95, 187.68, 315.55, 268.37], [450.93, 185.93, 512.69, 229.68], [487.99, 184.1, 528.93, 213.69]], \"boxes_3d\": [[1.6, 1.76, 3.84, -1.07, 1.29, 41.19], [1.54, 1.65, 3.82, -7.94, 1.62, 9.88], [1.49, 1.67, 4.05, -8.15, 1.58, 15.82], [1.41, 1.58, 3.99, -4.5, 1.46, 25.97], [1.42, 1.61, 3.56, -5.09, 1.38, 37.03]], \"ry\": [-1.59, -1.6, -1.57, -1.59, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 100,
        "data_source": "Mono3DRefer",
        "scene_name": "000200",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.57, -1.9], \"boxes_2d\": [[602.62, 178.85, 663.95, 238.07], [797.21, 186.52, 1018.27, 325.26]], \"boxes_3d\": [[1.61, 1.66, 3.2, 0.64, 1.8, 21.4], [1.43, 1.5, 3.38, 3.55, 1.63, 9.34]], \"ry\": [-1.54, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 101,
        "data_source": "Mono3DRefer",
        "scene_name": "000202",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.65], \"boxes_2d\": [[535.01, 180.59, 567.79, 204.85]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.68, 1.94, 45.59]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 102,
        "data_source": "Mono3DRefer",
        "scene_name": "000210",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.22, 2.17, 1.98, 1.87, 1.84, 1.75], \"boxes_2d\": [[0.0, 180.29, 155.87, 315.87], [124.67, 193.46, 286.04, 269.56], [238.92, 179.34, 363.82, 247.43], [376.25, 182.35, 444.03, 221.53], [419.21, 181.52, 472.75, 213.59], [498.77, 177.11, 530.95, 199.1]], \"boxes_3d\": [[1.8, 1.61, 3.83, -9.0, 1.93, 11.07], [1.45, 1.45, 3.4, -8.89, 1.94, 16.08], [1.75, 1.71, 4.31, -8.8, 1.95, 20.9], [1.53, 1.66, 4.01, -8.43, 1.94, 30.62], [1.48, 1.6, 3.9, -8.11, 1.93, 35.82], [1.61, 1.67, 4.56, -7.3, 1.96, 55.63]], \"ry\": [1.55, 1.67, 1.59, 1.6, 1.62, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 103,
        "data_source": "Mono3DRefer",
        "scene_name": "000214",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [0.32, -2.76, 1.49], \"boxes_2d\": [[277.11, 180.84, 412.58, 232.04], [334.05, 182.0, 443.19, 222.67], [872.38, 162.78, 902.54, 184.24]], \"boxes_3d\": [[1.52, 1.64, 3.7, -8.37, 1.8, 22.9], [1.5, 1.62, 3.69, -8.56, 1.87, 27.94], [1.51, 1.7, 4.45, 20.53, 0.82, 53.55]], \"ry\": [-0.03, -3.05, 1.85]}\n```"
            }
        ]
    },
    {
        "id": 104,
        "data_source": "Mono3DRefer",
        "scene_name": "000215",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [0.09, -0.77], \"boxes_2d\": [[215.24, 190.26, 586.08, 316.48], [943.77, 188.46, 1241.0, 314.86]], \"boxes_3d\": [[1.45, 1.68, 4.53, -2.75, 1.73, 9.96], [1.35, 1.35, 3.38, 6.08, 1.57, 9.01]], \"ry\": [-0.17, -0.19]}\n```"
            }
        ]
    },
    {
        "id": 105,
        "data_source": "Mono3DRefer",
        "scene_name": "000217",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.8, 1.72, 1.58, 1.64], \"boxes_2d\": [[316.11, 191.89, 461.97, 282.37], [475.46, 183.89, 525.42, 222.67], [562.18, 178.55, 594.26, 206.23], [537.61, 179.82, 561.21, 200.59]], \"boxes_3d\": [[1.37, 1.64, 4.4, -4.07, 1.78, 13.88], [1.4, 1.45, 3.3, -4.27, 1.85, 28.24], [1.4, 1.63, 3.89, -1.73, 1.72, 38.85], [1.38, 1.33, 4.32, -4.24, 1.88, 50.62]], \"ry\": [1.52, 1.57, 1.53, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 106,
        "data_source": "Mono3DRefer",
        "scene_name": "000219",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.56], \"boxes_2d\": [[566.3, 176.56, 616.74, 225.38]], \"boxes_3d\": [[1.61, 1.66, 3.2, -0.68, 1.76, 25.65]], \"ry\": [-1.59]}\n```"
            }
        ]
    },
    {
        "id": 107,
        "data_source": "Mono3DRefer",
        "scene_name": "000221",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.87, -1.57], \"boxes_2d\": [[776.78, 185.07, 955.98, 301.67], [603.24, 178.88, 664.34, 237.88]], \"boxes_3d\": [[1.43, 1.5, 3.38, 3.57, 1.63, 10.76], [1.61, 1.66, 3.2, 0.66, 1.8, 21.47]], \"ry\": [-1.55, -1.54]}\n```"
            }
        ]
    },
    {
        "id": 108,
        "data_source": "Mono3DRefer",
        "scene_name": "000222",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.8, -1.58, -2.7, 1.87, -2.39, -2.76, 1.92], \"boxes_2d\": [[425.71, 181.46, 464.15, 201.44], [518.65, 165.8, 740.84, 374.0], [344.82, 184.22, 457.2, 218.38], [376.56, 185.33, 418.02, 205.3], [175.97, 194.37, 259.89, 227.15], [426.64, 178.59, 498.57, 210.48], [334.95, 187.99, 374.32, 208.15]], \"boxes_3d\": [[1.4, 1.75, 4.75, -12.3, 2.06, 53.93], [1.55, 1.63, 3.32, 0.1, 1.52, 7.01], [1.46, 1.85, 4.52, -9.45, 2.01, 32.65], [1.37, 1.82, 3.96, -15.64, 2.31, 53.18], [1.52, 1.8, 3.3, -19.35, 2.61, 35.59], [1.6, 1.6, 3.29, -7.67, 1.92, 37.52], [1.38, 1.79, 2.94, -18.59, 2.51, 52.56]], \"ry\": [1.58, -1.57, -2.98, 1.59, -2.88, -2.96, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 109,
        "data_source": "Mono3DRefer",
        "scene_name": "000225",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.22, -1.56], \"boxes_2d\": [[1.07, 175.43, 121.82, 230.51], [584.46, 176.63, 622.38, 214.4]], \"boxes_3d\": [[1.92, 1.58, 3.93, -20.7, 2.04, 27.39], [1.62, 1.63, 4.5, -0.32, 1.82, 33.56]], \"ry\": [1.58, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 110,
        "data_source": "Mono3DRefer",
        "scene_name": "000227",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.93, 1.66, 1.86, 1.79, 1.65], \"boxes_2d\": [[783.58, 179.57, 909.44, 248.34], [1081.89, 174.98, 1130.16, 204.12], [864.51, 181.18, 964.28, 233.34], [945.94, 179.75, 1009.13, 217.58], [1019.96, 177.36, 1060.88, 205.58]], \"boxes_3d\": [[1.48, 1.51, 4.35, 5.94, 1.66, 17.92], [1.46, 1.74, 3.99, 26.31, 1.58, 38.25], [1.42, 1.68, 4.29, 9.43, 1.7, 22.26], [1.36, 1.4, 3.8, 14.4, 1.65, 28.24], [1.44, 1.65, 2.96, 23.12, 1.7, 38.77]], \"ry\": [2.25, 2.26, 2.25, 2.26, 2.18]}\n```"
            }
        ]
    },
    {
        "id": 111,
        "data_source": "Mono3DRefer",
        "scene_name": "000228",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-0.57, -0.8, -1.01], \"boxes_2d\": [[219.58, 178.89, 342.65, 219.2], [444.17, 173.3, 522.3, 205.63], [581.13, 173.89, 633.85, 198.94]], \"boxes_3d\": [[1.35, 1.6, 3.86, -12.04, 1.59, 26.54], [1.49, 1.53, 3.8, -6.17, 1.53, 35.28], [1.49, 1.56, 3.65, -0.14, 1.57, 44.92]], \"ry\": [-1.0, -0.97, -1.01]}\n```"
            }
        ]
    },
    {
        "id": 112,
        "data_source": "Mono3DRefer",
        "scene_name": "000230",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.82], \"boxes_2d\": [[396.86, 183.78, 438.89, 206.49]], \"boxes_3d\": [[1.55, 1.88, 4.59, -14.0, 2.37, 52.75]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 113,
        "data_source": "Mono3DRefer",
        "scene_name": "000236",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -1.06, -1.29, -1.22, -1.43, -1.38, -0.91, -1.11], \"boxes_2d\": [[580.36, 176.15, 621.91, 214.02], [76.17, 175.86, 288.33, 278.43], [323.02, 185.25, 476.65, 282.71], [282.95, 183.87, 393.3, 241.13], [480.25, 183.11, 543.62, 226.2], [445.32, 180.31, 489.64, 208.47], [0.0, 185.85, 139.14, 265.32], [183.62, 181.18, 299.1, 234.05]], \"boxes_3d\": [[1.6, 1.76, 3.84, -0.32, 1.21, 32.61], [1.65, 1.66, 3.96, -7.81, 1.49, 13.61], [1.48, 1.64, 3.81, -3.62, 1.5, 13.08], [1.44, 1.71, 3.78, -7.56, 1.42, 20.45], [1.37, 1.61, 4.21, -3.34, 1.31, 25.49], [1.45, 1.64, 3.86, -7.64, 1.19, 39.34], [1.46, 1.51, 3.83, -12.08, 1.49, 15.38], [1.51, 1.54, 4.17, -11.52, 1.39, 22.85]], \"ry\": [-1.58, -1.57, -1.56, -1.57, -1.55, -1.57, -1.57, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 114,
        "data_source": "Mono3DRefer",
        "scene_name": "000237",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.91, 2.07], \"boxes_2d\": [[855.98, 178.03, 953.05, 214.01], [175.09, 192.03, 258.16, 222.09]], \"boxes_3d\": [[1.42, 1.58, 3.48, 12.26, 1.66, 30.18], [1.41, 1.85, 4.7, -20.93, 2.49, 38.57]], \"ry\": [-2.53, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 115,
        "data_source": "Mono3DRefer",
        "scene_name": "000238",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-0.83, 1.99, -1.56], \"boxes_2d\": [[0.0, 170.01, 58.09, 216.72], [306.59, 174.28, 347.24, 194.2], [574.32, 173.66, 615.03, 214.23]], \"boxes_3d\": [[1.52, 1.5, 3.51, -20.63, 1.44, 24.12], [1.47, 1.82, 3.03, -21.75, 1.6, 55.48], [1.62, 1.63, 4.5, -0.68, 1.69, 31.41]], \"ry\": [-1.53, 1.62, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 116,
        "data_source": "Mono3DRefer",
        "scene_name": "000240",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.58], \"boxes_2d\": [[567.32, 177.55, 609.97, 215.63]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.88, 1.62, 29.36]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 117,
        "data_source": "Mono3DRefer",
        "scene_name": "000242",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.33, 1.69, 1.67], \"boxes_2d\": [[635.14, 163.71, 725.68, 229.58], [389.43, 184.88, 455.66, 237.97], [432.71, 187.21, 478.54, 220.32]], \"boxes_3d\": [[1.79, 1.72, 4.35, 1.98, 1.57, 21.99], [1.45, 1.49, 4.07, -5.73, 1.84, 22.28], [1.27, 1.54, 3.58, -6.51, 1.9, 30.54]], \"ry\": [1.42, 1.44, 1.46]}\n```"
            }
        ]
    },
    {
        "id": 118,
        "data_source": "Mono3DRefer",
        "scene_name": "000243",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.59, -1.43, -1.56, -1.02, -0.9], \"boxes_2d\": [[598.73, 177.45, 678.68, 248.0], [498.91, 169.77, 576.76, 230.99], [620.2, 169.23, 672.92, 218.51], [1190.53, 133.24, 1241.0, 204.3], [1070.7, 135.74, 1238.26, 198.38]], \"boxes_3d\": [[1.37, 1.56, 3.54, 0.54, 1.49, 15.96], [1.61, 1.69, 4.26, -2.06, 1.56, 21.28], [1.53, 1.63, 4.5, 1.25, 1.45, 24.87], [1.48, 1.6, 3.84, 14.87, 0.64, 15.68], [1.55, 1.61, 3.64, 14.31, 0.63, 19.06]], \"ry\": [-1.56, -1.53, -1.51, -0.27, -0.26]}\n```"
            }
        ]
    },
    {
        "id": 119,
        "data_source": "Mono3DRefer",
        "scene_name": "000244",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.71, 1.66, 1.68, 2.08, -2.38, -1.86, -1.35, 1.75, -1.82, -1.7], \"boxes_2d\": [[513.85, 182.74, 563.17, 223.35], [539.66, 172.6, 581.58, 214.11], [561.47, 175.94, 598.84, 209.67], [0.0, 183.99, 421.32, 374.0], [948.87, 191.74, 1241.0, 374.0], [730.11, 191.65, 1000.19, 374.0], [307.67, 188.31, 487.75, 335.88], [410.78, 188.92, 522.89, 272.41], [685.04, 181.86, 806.7, 271.17], [656.44, 183.23, 735.82, 245.57]], \"boxes_3d\": [[1.56, 1.55, 3.64, -2.94, 1.98, 29.97], [1.91, 1.66, 4.22, -2.4, 1.92, 35.51], [1.83, 1.69, 4.28, -1.69, 2.02, 41.52], [1.63, 1.6, 3.73, -2.51, 1.71, 4.36], [1.59, 1.49, 3.34, 2.63, 1.69, 2.33], [1.54, 1.6, 3.52, 2.35, 1.77, 7.71], [1.54, 1.5, 3.48, -2.64, 1.77, 9.56], [1.44, 1.63, 3.32, -2.82, 1.8, 14.63], [1.55, 1.55, 3.27, 2.53, 1.74, 14.37], [1.48, 1.6, 3.79, 2.18, 1.78, 19.43]], \"ry\": [1.61, 1.59, 1.63, 1.59, -1.6, -1.58, -1.62, 1.56, -1.65, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 120,
        "data_source": "Mono3DRefer",
        "scene_name": "000245",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.49, -2.51, -2.81, -2.94], \"boxes_2d\": [[871.24, 138.44, 1241.0, 369.5], [0.0, 199.5, 230.56, 336.43], [174.45, 190.89, 368.89, 263.55], [363.25, 182.66, 466.82, 221.54]], \"boxes_3d\": [[1.85, 1.68, 4.34, 4.89, 1.58, 6.76], [1.43, 1.56, 3.85, -6.94, 1.8, 8.64], [1.42, 1.62, 3.5, -7.3, 1.85, 15.76], [1.41, 1.54, 3.6, -7.48, 1.81, 27.77]], \"ry\": [3.1, 3.12, 3.04, 3.08]}\n```"
            }
        ]
    },
    {
        "id": 121,
        "data_source": "Mono3DRefer",
        "scene_name": "000247",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.61], \"boxes_2d\": [[275.5, 189.86, 310.27, 218.5]], \"boxes_3d\": [[1.45, 1.62, 3.83, -17.57, 2.42, 40.02]], \"ry\": [1.19]}\n```"
            }
        ]
    },
    {
        "id": 122,
        "data_source": "Mono3DRefer",
        "scene_name": "000248",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -1.01, -1.25, -1.22, -1.38, -1.33, -1.43, -1.46], \"boxes_2d\": [[577.33, 178.49, 611.19, 209.37], [0.0, 182.47, 245.23, 293.47], [264.17, 190.75, 441.26, 295.28], [264.99, 191.54, 369.63, 239.95], [430.72, 185.6, 502.46, 234.14], [381.56, 180.8, 439.65, 220.0], [473.84, 183.14, 521.92, 216.46], [506.71, 185.28, 540.44, 209.67]], \"boxes_3d\": [[1.6, 1.76, 3.84, -0.76, 1.25, 39.58], [1.64, 1.71, 4.12, -8.41, 1.61, 12.86], [1.41, 1.58, 3.99, -4.13, 1.54, 12.21], [1.22, 1.65, 3.65, -8.42, 1.45, 21.09], [1.42, 1.61, 3.56, -4.54, 1.45, 23.37], [1.61, 1.61, 3.68, -8.66, 1.43, 31.76], [1.43, 1.64, 3.99, -5.08, 1.35, 33.47], [1.35, 1.57, 3.72, -4.97, 1.37, 42.68]], \"ry\": [-1.59, -1.58, -1.57, -1.6, -1.57, -1.59, -1.58, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 123,
        "data_source": "Mono3DRefer",
        "scene_name": "000249",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, -1.22, -0.82, -1.34, -1.17, -1.06], \"boxes_2d\": [[559.9, 176.25, 603.74, 216.23], [102.42, 183.7, 425.73, 375.0], [0.0, 197.12, 93.16, 325.8], [357.57, 188.5, 467.94, 263.83], [188.31, 186.03, 331.32, 254.48], [96.72, 186.51, 228.83, 240.31]], \"boxes_3d\": [[1.6, 1.76, 3.84, -1.17, 1.23, 31.02], [1.58, 1.68, 3.95, -3.27, 1.58, 7.68], [1.42, 1.53, 4.2, -7.7, 1.61, 7.57], [1.39, 1.5, 3.4, -4.11, 1.49, 15.47], [1.43, 1.62, 4.08, -8.35, 1.48, 17.59], [1.39, 1.5, 4.04, -13.01, 1.45, 21.26]], \"ry\": [-1.62, -1.61, -1.6, -1.59, -1.6, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 124,
        "data_source": "Mono3DRefer",
        "scene_name": "000250",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.8, 1.68, 1.74], \"boxes_2d\": [[26.43, 196.96, 252.9, 345.96], [341.7, 192.77, 383.53, 224.69], [231.91, 194.75, 338.29, 272.86]], \"boxes_3d\": [[1.44, 1.58, 3.72, -5.9, 1.8, 9.45], [1.39, 1.52, 3.56, -11.99, 2.4, 35.04], [1.46, 1.59, 3.35, -7.14, 1.99, 16.05]], \"ry\": [1.25, 1.36, 1.32]}\n```"
            }
        ]
    },
    {
        "id": 125,
        "data_source": "Mono3DRefer",
        "scene_name": "000252",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.91, 1.63, 2.98], \"boxes_2d\": [[239.65, 196.51, 447.05, 327.01], [515.45, 183.55, 549.41, 209.28], [386.51, 182.63, 485.96, 218.8]], \"boxes_3d\": [[1.39, 1.52, 3.56, -3.49, 1.77, 10.0], [1.34, 1.64, 4.57, -4.38, 1.97, 41.01], [1.52, 1.41, 4.22, -7.92, 1.99, 32.8]], \"ry\": [1.58, 1.52, 2.75]}\n```"
            }
        ]
    },
    {
        "id": 126,
        "data_source": "Mono3DRefer",
        "scene_name": "000253",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.55, 1.87, -1.62], \"boxes_2d\": [[568.83, 176.31, 624.55, 230.24], [330.49, 188.79, 439.69, 251.21], [639.48, 176.79, 659.27, 194.18]], \"boxes_3d\": [[1.61, 1.66, 3.2, -0.44, 1.74, 23.37], [1.49, 1.67, 4.38, -6.19, 1.97, 20.24], [1.43, 1.5, 3.38, 3.33, 1.78, 61.64]], \"ry\": [-1.57, 1.58, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 127,
        "data_source": "Mono3DRefer",
        "scene_name": "000254",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.06, 1.75, 1.93, 2.47, 1.66, 1.62, -0.12, 0.01], \"boxes_2d\": [[27.82, 201.43, 299.81, 344.53], [380.94, 190.96, 499.06, 277.0], [226.87, 195.63, 385.02, 287.64], [1109.86, 152.35, 1241.0, 254.2], [497.8, 182.98, 547.03, 225.38], [548.97, 182.69, 568.89, 200.98], [632.82, 178.59, 724.49, 214.71], [612.81, 177.29, 676.27, 203.8]], \"boxes_3d\": [[1.45, 1.52, 3.62, -5.74, 1.9, 9.75], [1.46, 1.62, 4.04, -3.39, 1.87, 14.92], [1.46, 1.58, 3.72, -5.76, 1.95, 14.05], [1.73, 1.55, 4.0, 11.57, 1.38, 13.03], [1.57, 1.6, 3.99, -3.51, 1.99, 29.17], [1.52, 1.54, 3.68, -4.44, 2.39, 62.89], [1.62, 1.65, 4.14, 3.18, 1.92, 34.2], [1.69, 1.76, 4.12, 2.27, 2.01, 47.94]], \"ry\": [1.54, 1.53, 1.55, -3.1, 1.54, 1.55, -0.03, 0.05]}\n```"
            }
        ]
    },
    {
        "id": 128,
        "data_source": "Mono3DRefer",
        "scene_name": "000256",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.29, 2.23, 2.16], \"boxes_2d\": [[0.0, 185.45, 40.8, 241.07], [26.81, 171.39, 174.7, 232.27], [161.03, 181.62, 254.73, 222.65]], \"boxes_3d\": [[1.46, 1.4, 3.27, -16.91, 1.81, 18.85], [1.78, 1.6, 4.29, -16.32, 1.76, 23.37], [1.5, 1.47, 3.62, -15.87, 1.86, 28.6]], \"ry\": [1.57, 1.62, 1.65]}\n```"
            }
        ]
    },
    {
        "id": 129,
        "data_source": "Mono3DRefer",
        "scene_name": "000257",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.43], \"boxes_2d\": [[792.7, 174.36, 857.54, 201.38]], \"boxes_3d\": [[1.48, 1.36, 3.51, 12.29, 1.59, 41.48]], \"ry\": [-2.15]}\n```"
            }
        ]
    },
    {
        "id": 130,
        "data_source": "Mono3DRefer",
        "scene_name": "000258",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.49, 2.07, 1.96, -1.67, -1.53], \"boxes_2d\": [[676.96, 183.63, 707.15, 209.05], [279.38, 194.03, 415.27, 267.25], [375.59, 181.46, 474.75, 249.45], [705.24, 181.57, 763.02, 229.01], [710.36, 170.09, 750.08, 221.15]], \"boxes_3d\": [[1.54, 1.63, 3.67, 5.31, 2.26, 46.59], [1.56, 1.59, 3.69, -6.45, 2.13, 18.04], [1.93, 1.59, 4.01, -5.74, 2.22, 22.75], [1.58, 1.67, 3.84, 4.42, 1.91, 26.33], [2.05, 1.5, 3.83, 5.2, 1.97, 31.07]], \"ry\": [-1.38, 1.73, 1.72, -1.5, -1.36]}\n```"
            }
        ]
    },
    {
        "id": 131,
        "data_source": "Mono3DRefer",
        "scene_name": "000259",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.33, -1.43, -1.57, -1.51], \"boxes_2d\": [[354.16, 178.12, 522.14, 291.51], [486.95, 174.28, 555.67, 226.08], [597.74, 166.79, 642.45, 207.57], [558.16, 164.69, 593.61, 196.84]], \"boxes_3d\": [[1.47, 1.59, 4.03, -2.39, 1.43, 11.39], [1.41, 1.54, 3.36, -2.33, 1.21, 21.38], [1.52, 1.67, 4.38, 0.76, 0.97, 29.34], [1.56, 1.59, 3.65, -1.27, 0.74, 37.11]], \"ry\": [-1.53, -1.54, -1.55, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 132,
        "data_source": "Mono3DRefer",
        "scene_name": "000262",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.91, -1.78, -1.42, -1.68, -1.64, -1.62], \"boxes_2d\": [[756.75, 181.67, 1038.61, 360.21], [692.19, 178.73, 822.16, 271.94], [455.66, 180.62, 533.82, 241.13], [674.1, 178.14, 742.63, 231.97], [651.1, 178.0, 696.17, 215.64], [635.97, 177.32, 669.6, 204.85]], \"boxes_3d\": [[1.45, 1.49, 3.79, 2.72, 1.56, 7.87], [1.5, 1.53, 4.13, 2.59, 1.63, 13.82], [1.58, 1.65, 3.91, -3.29, 1.81, 21.0], [1.47, 1.57, 4.09, 2.86, 1.64, 21.94], [1.45, 1.58, 3.53, 2.55, 1.68, 29.93], [1.46, 1.67, 4.4, 2.35, 1.74, 41.01]], \"ry\": [-1.59, -1.6, -1.57, -1.56, -1.56, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 133,
        "data_source": "Mono3DRefer",
        "scene_name": "000264",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.02, -1.69, 2.15, -1.57, 1.97, -1.55, -1.28, 1.17, 1.13, 0.99, 0.86, 1.02, -1.45, 0.75], \"boxes_2d\": [[818.02, 184.92, 1241.0, 374.0], [653.87, 179.35, 715.48, 225.48], [71.39, 185.16, 205.32, 232.0], [584.95, 176.28, 621.09, 209.27], [290.86, 177.87, 347.79, 206.42], [568.86, 181.02, 626.19, 227.73], [269.26, 192.99, 478.9, 331.41], [133.71, 193.8, 327.83, 299.58], [217.74, 186.79, 377.32, 265.99], [341.28, 182.24, 455.26, 232.72], [371.8, 177.0, 477.29, 225.87], [421.83, 180.51, 497.71, 213.06], [522.62, 180.83, 566.78, 212.11], [457.86, 175.01, 529.62, 202.59]], \"boxes_3d\": [[1.56, 1.48, 3.36, 2.79, 1.67, 5.53], [1.38, 1.55, 3.6, 2.33, 1.6, 23.64], [1.35, 1.66, 4.09, -15.23, 1.77, 23.52], [1.52, 1.67, 3.61, -0.38, 1.7, 35.35], [1.44, 1.52, 3.66, -15.52, 1.72, 38.61], [1.36, 1.69, 3.38, -0.41, 1.64, 23.09], [1.4, 1.6, 3.35, -2.86, 1.7, 9.34], [1.37, 1.52, 3.3, -6.04, 1.72, 11.28], [1.4, 1.61, 3.55, -6.49, 1.7, 14.72], [1.4, 1.52, 3.76, -6.56, 1.71, 22.04], [1.57, 1.64, 3.49, -6.47, 1.74, 24.91], [1.38, 1.55, 3.89, -6.92, 1.75, 32.86], [1.3, 1.55, 3.51, -2.9, 1.67, 32.28], [1.57, 1.67, 4.2, -6.99, 1.73, 43.05]], \"ry\": [-1.58, -1.59, 1.58, -1.58, 1.59, -1.57, -1.57, 0.69, 0.72, 0.7, 0.61, 0.81, -1.54, 0.59]}\n```"
            }
        ]
    },
    {
        "id": 134,
        "data_source": "Mono3DRefer",
        "scene_name": "000266",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.27, -1.86, 1.81, -1.71, -1.5, -1.67, -1.96], \"boxes_2d\": [[147.94, 195.97, 352.08, 311.04], [646.71, 163.55, 777.49, 258.96], [264.17, 184.68, 398.12, 263.55], [581.33, 175.14, 640.65, 218.71], [403.87, 183.79, 452.11, 217.83], [557.84, 175.64, 594.88, 206.2], [748.25, 180.42, 1034.25, 353.77]], \"boxes_3d\": [[1.34, 1.69, 3.6, -5.23, 1.74, 10.91], [1.69, 1.59, 3.77, 1.9, 1.55, 14.83], [1.47, 1.74, 4.41, -6.07, 1.76, 16.13], [1.49, 1.71, 3.58, -0.07, 1.6, 26.82], [1.39, 1.81, 3.46, -8.04, 1.89, 31.98], [1.47, 1.55, 3.37, -1.79, 1.64, 36.88], [1.45, 1.61, 3.34, 2.68, 1.54, 7.82]], \"ry\": [-1.71, -1.73, 1.46, -1.71, -1.74, -1.72, -1.64]}\n```"
            }
        ]
    },
    {
        "id": 135,
        "data_source": "Mono3DRefer",
        "scene_name": "000268",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.59, 1.94], \"boxes_2d\": [[550.79, 169.64, 715.78, 328.61], [256.69, 181.58, 348.02, 228.84]], \"boxes_3d\": [[1.66, 1.73, 3.05, 0.2, 1.65, 9.15], [1.58, 1.63, 4.31, -11.24, 1.91, 26.59]], \"ry\": [-1.57, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 136,
        "data_source": "Mono3DRefer",
        "scene_name": "000271",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.65, -1.56, 2.05], \"boxes_2d\": [[903.8, 188.46, 976.33, 214.9], [557.85, 176.56, 614.45, 232.99], [238.89, 180.02, 292.21, 204.12]], \"boxes_3d\": [[1.68, 1.39, 4.26, 22.13, 2.76, 48.48], [1.62, 1.63, 4.5, -0.78, 1.76, 23.22], [1.46, 1.31, 4.15, -22.0, 1.93, 46.19]], \"ry\": [3.08, -1.59, 1.61]}\n```"
            }
        ]
    },
    {
        "id": 137,
        "data_source": "Mono3DRefer",
        "scene_name": "000272",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.73], \"boxes_2d\": [[603.66, 176.98, 642.02, 203.59]], \"boxes_3d\": [[1.5, 1.7, 3.77, 0.78, 1.77, 43.0]], \"ry\": [1.75]}\n```"
            }
        ]
    },
    {
        "id": 138,
        "data_source": "Mono3DRefer",
        "scene_name": "000275",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -1.37, -1.1, -1.08, 2.04], \"boxes_2d\": [[563.62, 170.71, 670.02, 271.31], [971.99, 174.01, 1241.0, 374.0], [800.46, 156.91, 1088.76, 308.56], [775.67, 173.75, 964.49, 264.73], [0.0, 167.79, 187.8, 263.06]], \"boxes_3d\": [[1.56, 1.65, 3.69, 0.07, 1.55, 13.14], [1.45, 1.62, 3.88, 4.57, 1.46, 5.92], [1.54, 1.73, 4.04, 4.38, 1.39, 9.27], [1.38, 1.56, 3.8, 4.68, 1.41, 12.83], [1.57, 1.71, 4.32, -10.18, 1.52, 14.15]], \"ry\": [-1.56, -0.74, -0.68, -0.74, 1.42]}\n```"
            }
        ]
    },
    {
        "id": 139,
        "data_source": "Mono3DRefer",
        "scene_name": "000276",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.73, 1.66, -1.57], \"boxes_2d\": [[441.72, 179.02, 519.66, 239.6], [538.11, 179.68, 568.84, 204.48], [589.8, 176.25, 632.11, 218.39]], \"boxes_3d\": [[1.52, 1.55, 3.79, -3.57, 1.71, 20.24], [1.48, 1.62, 3.21, -3.52, 1.91, 45.03], [1.62, 1.63, 4.5, 0.01, 1.79, 30.31]], \"ry\": [1.56, 1.58, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 140,
        "data_source": "Mono3DRefer",
        "scene_name": "000280",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.97], \"boxes_2d\": [[265.17, 193.28, 330.23, 223.5]], \"boxes_3d\": [[1.48, 1.79, 4.15, -17.12, 2.65, 39.7]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 141,
        "data_source": "Mono3DRefer",
        "scene_name": "000281",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.57], \"boxes_2d\": [[593.06, 169.73, 625.83, 201.27]], \"boxes_3d\": [[1.66, 1.73, 3.05, -0.06, 1.52, 39.97]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 142,
        "data_source": "Mono3DRefer",
        "scene_name": "000285",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, -1.24, -1.01, -0.92, 1.9, 1.81, 2.07, 1.96, 1.76, 1.94, 2.0, 2.35, 2.5], \"boxes_2d\": [[595.62, 181.33, 661.35, 243.71], [837.5, 168.67, 1076.72, 313.08], [715.76, 178.58, 827.33, 237.3], [677.52, 180.56, 771.35, 220.77], [353.01, 183.81, 448.54, 243.22], [484.19, 180.78, 533.53, 213.19], [164.4, 191.99, 311.09, 253.28], [280.37, 180.38, 367.24, 233.95], [555.46, 180.3, 589.04, 199.34], [388.4, 182.18, 449.36, 214.91], [471.91, 183.21, 521.83, 205.3], [0.0, 188.86, 116.94, 251.89], [11.83, 184.92, 151.34, 225.56]], \"boxes_3d\": [[1.56, 1.65, 3.69, 0.41, 1.81, 20.13], [1.54, 1.72, 3.88, 4.75, 1.51, 9.7], [1.52, 1.49, 3.46, 4.65, 1.7, 20.7], [1.39, 1.61, 3.65, 4.34, 1.7, 27.29], [1.6, 1.6, 3.77, -6.21, 1.94, 21.68], [1.61, 1.7, 3.97, -5.33, 2.04, 38.25], [1.45, 1.65, 4.63, -10.38, 2.04, 20.48], [1.81, 1.59, 3.93, -10.48, 2.1, 26.61], [1.45, 1.84, 4.59, -3.0, 2.06, 57.9], [1.56, 1.62, 4.19, -9.79, 2.06, 37.15], [1.42, 1.67, 4.53, -7.77, 2.16, 49.85], [1.47, 1.48, 3.21, -14.94, 1.91, 18.94], [1.47, 1.78, 4.34, -21.25, 1.99, 29.19]], \"ry\": [-1.58, -0.79, -0.79, -0.77, 1.62, 1.67, 1.6, 1.58, 1.71, 1.68, 1.84, 1.69, 1.88]}\n```"
            }
        ]
    },
    {
        "id": 143,
        "data_source": "Mono3DRefer",
        "scene_name": "000286",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.26, 0.42, -1.65, -1.56, 1.77, -2.37, -1.94, -1.86, -1.72, -1.63, -1.68], \"boxes_2d\": [[347.45, 185.84, 425.72, 214.38], [243.48, 186.4, 331.56, 216.19], [627.58, 177.72, 652.34, 198.47], [589.39, 176.3, 613.97, 199.68], [405.67, 186.33, 516.16, 266.0], [955.63, 192.0, 1241.0, 374.0], [761.3, 175.99, 1116.88, 374.0], [718.78, 171.95, 863.66, 299.07], [664.82, 178.8, 742.05, 237.1], [639.38, 178.03, 675.93, 209.91], [654.65, 176.84, 711.32, 224.76]], \"boxes_3d\": [[1.52, 1.51, 3.94, -12.54, 2.28, 40.55], [1.58, 1.56, 4.24, -18.08, 2.37, 40.5], [1.49, 1.55, 3.93, 2.21, 1.88, 54.51], [1.54, 1.63, 3.67, -0.59, 1.8, 50.02], [1.45, 1.59, 3.59, -3.07, 1.76, 15.31], [1.48, 1.47, 3.7, 2.93, 1.59, 2.72], [1.64, 1.64, 3.89, 2.72, 1.69, 7.1], [1.69, 1.39, 2.65, 2.61, 1.7, 11.05], [1.5, 1.59, 3.79, 2.54, 1.69, 20.71], [1.49, 1.57, 4.07, 2.3, 1.76, 36.03], [1.57, 1.59, 3.75, 2.51, 1.74, 25.84]], \"ry\": [-0.04, 0.01, -1.61, -1.58, 1.57, -1.6, -1.59, -1.63, -1.61, -1.56, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 144,
        "data_source": "Mono3DRefer",
        "scene_name": "000291",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.79, 1.65, 1.69, -1.58], \"boxes_2d\": [[479.73, 180.34, 550.56, 223.09], [520.04, 176.85, 562.22, 210.91], [543.28, 174.41, 576.92, 197.75], [618.07, 173.69, 657.64, 213.4]], \"boxes_3d\": [[1.43, 1.68, 4.19, -3.41, 1.71, 26.44], [1.46, 1.59, 4.27, -3.16, 1.66, 33.43], [1.38, 1.62, 4.06, -3.1, 1.5, 45.19], [1.57, 1.56, 2.62, 1.12, 1.63, 30.16]], \"ry\": [1.66, 1.56, 1.62, -1.54]}\n```"
            }
        ]
    },
    {
        "id": 145,
        "data_source": "Mono3DRefer",
        "scene_name": "000292",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.57], \"boxes_2d\": [[597.57, 174.78, 664.8, 239.73]], \"boxes_3d\": [[1.61, 1.66, 3.2, 0.53, 1.68, 19.65]], \"ry\": [-1.55]}\n```"
            }
        ]
    },
    {
        "id": 146,
        "data_source": "Mono3DRefer",
        "scene_name": "000293",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.04, -1.5, -3.05], \"boxes_2d\": [[0.0, 191.75, 403.27, 374.0], [494.78, 182.16, 529.62, 214.42], [330.97, 174.77, 444.98, 218.79]], \"boxes_3d\": [[1.5, 1.7, 3.77, -3.47, 1.72, 6.93], [1.57, 1.55, 3.32, -5.05, 2.06, 37.31], [1.77, 1.73, 4.53, -9.48, 1.88, 31.02]], \"ry\": [1.59, -1.64, 2.94]}\n```"
            }
        ]
    },
    {
        "id": 147,
        "data_source": "Mono3DRefer",
        "scene_name": "000295",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.72], \"boxes_2d\": [[286.19, 186.56, 418.07, 282.76]], \"boxes_3d\": [[1.49, 1.67, 4.52, -4.8, 1.78, 13.89]], \"ry\": [1.39]}\n```"
            }
        ]
    },
    {
        "id": 148,
        "data_source": "Mono3DRefer",
        "scene_name": "000296",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.4, 2.18, -0.51, 1.89], \"boxes_2d\": [[685.75, 164.92, 739.44, 208.12], [224.94, 186.16, 335.61, 238.74], [0.0, 189.0, 193.29, 336.93], [429.91, 181.14, 493.11, 211.5]], \"boxes_3d\": [[1.73, 1.6, 4.11, 4.46, 1.44, 31.14], [1.46, 1.37, 3.45, -10.13, 1.9, 22.34], [1.53, 1.45, 4.33, -7.13, 1.74, 8.0], [1.4, 1.68, 4.76, -7.39, 1.83, 36.24]], \"ry\": [-1.26, 1.76, -1.22, 1.69]}\n```"
            }
        ]
    },
    {
        "id": 149,
        "data_source": "Mono3DRefer",
        "scene_name": "000297",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.77, 1.75], \"boxes_2d\": [[412.32, 186.04, 460.72, 217.29], [458.94, 183.36, 488.76, 206.38]], \"boxes_3d\": [[1.56, 1.73, 4.37, -9.44, 2.31, 39.45], [1.6, 1.67, 2.65, -9.87, 2.38, 52.36]], \"ry\": [1.53, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 150,
        "data_source": "Mono3DRefer",
        "scene_name": "000300",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.43], \"boxes_2d\": [[785.01, 175.65, 848.7, 202.34]], \"boxes_3d\": [[1.48, 1.36, 3.51, 11.97, 1.67, 42.02]], \"ry\": [-2.15]}\n```"
            }
        ]
    },
    {
        "id": 151,
        "data_source": "Mono3DRefer",
        "scene_name": "000301",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -1.36, -1.41, -1.45, -1.35, -1.49], \"boxes_2d\": [[553.85, 173.51, 628.19, 241.31], [358.8, 191.12, 496.37, 276.59], [442.41, 179.69, 525.35, 236.97], [485.9, 173.99, 543.29, 220.87], [409.78, 174.99, 462.77, 212.3], [517.51, 175.34, 558.56, 209.96]], \"boxes_3d\": [[1.6, 1.76, 3.84, -0.48, 1.32, 19.08], [1.3, 1.61, 4.39, -3.29, 1.45, 13.79], [1.46, 1.66, 4.29, -3.46, 1.31, 20.58], [1.65, 1.7, 3.9, -3.5, 1.24, 27.4], [1.66, 1.62, 3.95, -8.12, 1.2, 34.23], [1.64, 1.72, 4.24, -3.51, 1.16, 36.56]], \"ry\": [-1.59, -1.59, -1.58, -1.58, -1.59, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 152,
        "data_source": "Mono3DRefer",
        "scene_name": "000302",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-0.7, 2.05, -1.42], \"boxes_2d\": [[399.86, 175.1, 505.05, 218.48], [328.81, 169.19, 397.46, 202.72], [562.87, 172.16, 598.61, 196.02]], \"boxes_3d\": [[1.48, 1.56, 3.62, -5.43, 1.25, 26.45], [1.68, 1.67, 4.29, -12.65, 1.06, 38.43], [1.43, 1.66, 4.15, -1.25, 0.87, 45.6]], \"ry\": [-0.9, 1.73, -1.46]}\n```"
            }
        ]
    },
    {
        "id": 153,
        "data_source": "Mono3DRefer",
        "scene_name": "000306",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.57, 2.22], \"boxes_2d\": [[556.85, 173.12, 619.99, 236.08], [13.95, 169.57, 93.39, 206.59]], \"boxes_3d\": [[1.62, 1.63, 4.5, -0.67, 1.66, 21.05], [1.7, 1.64, 2.85, -26.79, 1.57, 34.79]], \"ry\": [-1.6, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 154,
        "data_source": "Mono3DRefer",
        "scene_name": "000307",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.91], \"boxes_2d\": [[336.48, 186.85, 384.22, 213.59]], \"boxes_3d\": [[1.67, 1.87, 3.69, -16.67, 2.63, 48.29]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 155,
        "data_source": "Mono3DRefer",
        "scene_name": "000310",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.78, -1.76, 1.66, -1.72, -1.51, -1.91, 1.88], \"boxes_2d\": [[550.26, 175.17, 644.51, 244.53], [524.12, 179.11, 600.18, 231.15], [275.06, 191.43, 339.86, 242.11], [502.96, 182.68, 553.93, 219.83], [790.84, 179.16, 1010.03, 371.7], [613.46, 180.93, 789.58, 289.35], [107.38, 194.33, 285.97, 295.88]], \"boxes_3d\": [[1.6, 1.7, 3.56, -0.47, 1.68, 18.68], [1.52, 1.73, 3.89, -1.68, 1.75, 23.47], [1.44, 1.6, 3.79, -9.83, 2.08, 23.56], [1.37, 1.51, 3.49, -3.34, 1.77, 28.76], [1.51, 1.69, 4.04, 3.18, 1.59, 7.88], [1.46, 1.58, 3.93, 1.26, 1.61, 11.93], [1.5, 1.68, 4.03, -7.49, 1.95, 13.44]], \"ry\": [-1.8, -1.83, 1.27, -1.83, -1.14, -1.81, 1.38]}\n```"
            }
        ]
    },
    {
        "id": 156,
        "data_source": "Mono3DRefer",
        "scene_name": "000311",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.31, -1.93, -1.32, -1.68, -1.79, -1.55, -1.67], \"boxes_2d\": [[230.68, 177.46, 487.51, 349.05], [763.83, 158.53, 1241.0, 374.0], [393.96, 184.55, 542.19, 278.98], [662.44, 180.11, 719.57, 223.61], [713.49, 179.11, 879.89, 290.64], [553.74, 176.47, 586.85, 206.69], [648.61, 177.76, 686.28, 208.79]], \"boxes_3d\": [[1.47, 1.6, 4.41, -2.6, 1.54, 8.47], [1.63, 1.69, 3.88, 2.38, 1.58, 5.61], [1.46, 1.68, 4.1, -2.49, 1.7, 13.46], [1.49, 1.64, 4.17, 2.92, 1.77, 27.05], [1.41, 1.56, 3.97, 2.63, 1.52, 11.23], [1.6, 1.75, 3.89, -2.21, 1.82, 40.55], [1.59, 1.64, 4.03, 3.06, 1.87, 39.39]], \"ry\": [-1.6, -1.55, -1.5, -1.58, -1.57, -1.6, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 157,
        "data_source": "Mono3DRefer",
        "scene_name": "000313",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.4], \"boxes_2d\": [[274.89, 186.98, 426.62, 230.51]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.68, 1.86, 24.24]], \"ry\": [0.06]}\n```"
            }
        ]
    },
    {
        "id": 158,
        "data_source": "Mono3DRefer",
        "scene_name": "000314",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.72, 1.6, 1.7], \"boxes_2d\": [[0.0, 205.78, 137.85, 333.01], [193.4, 207.86, 231.88, 241.73], [99.41, 207.79, 203.65, 284.84]], \"boxes_3d\": [[1.44, 1.58, 3.72, -8.16, 2.0, 10.66], [1.39, 1.52, 3.56, -19.08, 3.15, 34.67], [1.46, 1.59, 3.35, -10.63, 2.35, 16.86]], \"ry\": [1.08, 1.1, 1.15]}\n```"
            }
        ]
    },
    {
        "id": 159,
        "data_source": "Mono3DRefer",
        "scene_name": "000315",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.77, -1.71, 1.94], \"boxes_2d\": [[630.9, 176.65, 662.81, 197.27], [722.85, 177.56, 858.36, 295.97], [308.02, 190.2, 511.1, 319.33]], \"boxes_3d\": [[1.5, 1.7, 3.77, 2.82, 1.81, 54.91], [1.57, 1.56, 2.62, 2.57, 1.66, 10.95], [1.49, 1.53, 3.88, -2.75, 1.78, 10.67]], \"ry\": [1.82, -1.49, 1.69]}\n```"
            }
        ]
    },
    {
        "id": 160,
        "data_source": "Mono3DRefer",
        "scene_name": "000316",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, 1.72, -2.04, -1.84, -1.82, -1.71, -1.62, -1.66, 0.22, 0.4, -1.64], \"boxes_2d\": [[588.34, 175.63, 612.67, 198.77], [465.69, 182.44, 538.49, 237.14], [814.81, 185.31, 1241.0, 374.0], [719.32, 174.47, 919.14, 316.36], [695.26, 171.46, 800.62, 266.75], [657.35, 177.99, 722.28, 227.74], [636.71, 177.31, 669.73, 206.44], [647.98, 176.47, 697.05, 218.73], [365.66, 182.66, 437.48, 208.97], [268.54, 182.74, 349.53, 210.2], [626.13, 176.0, 649.43, 195.55]], \"boxes_3d\": [[1.54, 1.63, 3.67, -0.67, 1.76, 50.53], [1.45, 1.59, 3.59, -3.12, 1.74, 21.22], [1.48, 1.47, 3.7, 2.93, 1.6, 5.87], [1.64, 1.64, 3.89, 2.7, 1.69, 10.38], [1.69, 1.39, 2.65, 2.6, 1.69, 14.3], [1.5, 1.59, 3.79, 2.53, 1.69, 23.94], [1.49, 1.57, 4.07, 2.28, 1.75, 39.25], [1.57, 1.59, 3.75, 2.42, 1.74, 29.04], [1.52, 1.51, 3.94, -12.62, 2.14, 43.74], [1.58, 1.56, 4.24, -18.19, 2.21, 43.65], [1.49, 1.55, 3.93, 2.18, 1.77, 57.74]], \"ry\": [-1.58, 1.57, -1.6, -1.6, -1.64, -1.61, -1.56, -1.58, -0.05, 0.0, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 161,
        "data_source": "Mono3DRefer",
        "scene_name": "000319",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, 2.02, 1.98, 1.73], \"boxes_2d\": [[599.09, 176.71, 627.07, 204.35], [178.46, 193.54, 291.55, 245.16], [236.96, 190.66, 348.83, 249.14], [449.64, 182.84, 485.44, 207.63]], \"boxes_3d\": [[1.65, 1.67, 3.64, 0.16, 1.91, 45.33], [1.41, 1.55, 4.16, -11.89, 2.12, 23.12], [1.38, 1.45, 3.63, -8.55, 1.9, 19.67], [1.41, 1.53, 3.98, -8.65, 2.03, 43.94]], \"ry\": [-1.57, 1.54, 1.57, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 162,
        "data_source": "Mono3DRefer",
        "scene_name": "000321",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.64, 1.95, 1.74], \"boxes_2d\": [[528.71, 174.85, 554.02, 195.74], [131.71, 187.57, 430.83, 370.81], [450.5, 185.08, 523.42, 231.98]], \"boxes_3d\": [[1.39, 1.48, 3.76, -4.78, 1.55, 50.37], [1.56, 1.68, 3.91, -3.43, 1.75, 8.31], [1.43, 1.75, 4.47, -4.18, 1.88, 24.95]], \"ry\": [1.55, 1.56, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 163,
        "data_source": "Mono3DRefer",
        "scene_name": "000323",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.24, -1.46, -1.88, -1.73, -1.49, -1.6], \"boxes_2d\": [[3.78, 210.08, 329.81, 358.59], [704.29, 172.82, 803.3, 254.27], [960.23, 157.46, 1142.32, 258.19], [932.24, 163.38, 1038.42, 226.34], [768.08, 171.91, 813.8, 210.03], [905.56, 154.84, 956.84, 203.11]], \"boxes_3d\": [[1.47, 1.58, 3.55, -5.49, 1.97, 8.9], [1.6, 1.75, 3.89, 3.31, 1.62, 16.27], [1.59, 1.64, 4.03, 7.96, 1.37, 13.52], [1.5, 1.8, 4.5, 9.98, 1.3, 19.6], [1.46, 1.56, 3.21, 7.39, 1.45, 29.45], [1.83, 1.75, 4.52, 13.1, 1.17, 29.69]], \"ry\": [-2.78, -1.26, -1.36, -1.26, -1.25, -1.19]}\n```"
            }
        ]
    },
    {
        "id": 164,
        "data_source": "Mono3DRefer",
        "scene_name": "000326",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.81, -2.23], \"boxes_2d\": [[687.66, 184.67, 807.99, 262.11], [911.39, 157.06, 1241.0, 374.0]], \"boxes_3d\": [[1.38, 1.51, 4.1, 2.72, 1.65, 15.32], [1.6, 1.66, 3.55, 3.65, 1.53, 4.9]], \"ry\": [-1.64, -1.62]}\n```"
            }
        ]
    },
    {
        "id": 165,
        "data_source": "Mono3DRefer",
        "scene_name": "000329",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.58, 1.71], \"boxes_2d\": [[600.79, 179.94, 628.52, 207.34], [501.21, 184.53, 524.24, 201.5]], \"boxes_3d\": [[1.65, 1.67, 3.64, 0.25, 2.11, 45.71], [1.38, 1.45, 3.63, -8.35, 2.4, 62.03]], \"ry\": [-1.58, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 166,
        "data_source": "Mono3DRefer",
        "scene_name": "000334",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.95], \"boxes_2d\": [[689.27, 181.33, 723.69, 201.8]], \"boxes_3d\": [[1.48, 1.36, 3.51, 7.24, 2.13, 54.52]], \"ry\": [-1.82]}\n```"
            }
        ]
    },
    {
        "id": 167,
        "data_source": "Mono3DRefer",
        "scene_name": "000335",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.75, -1.86, -1.7, -1.42, 1.51, -2.65], \"boxes_2d\": [[456.45, 171.7, 543.78, 242.16], [752.69, 181.01, 1000.64, 373.47], [706.66, 189.08, 833.31, 287.05], [509.97, 181.33, 568.9, 221.43], [640.67, 177.82, 670.7, 203.29], [72.94, 166.25, 360.59, 260.59]], \"boxes_3d\": [[1.7, 1.63, 4.08, -2.91, 1.7, 19.62], [1.59, 1.59, 2.47, 2.42, 1.68, 7.25], [1.37, 1.59, 3.22, 2.49, 1.67, 12.06], [1.4, 1.67, 3.72, -2.65, 1.74, 27.47], [1.49, 1.61, 3.74, 2.75, 1.81, 44.43], [1.59, 1.63, 4.43, -7.16, 1.51, 13.33]], \"ry\": [1.6, -1.55, -1.5, -1.51, 1.57, -3.13]}\n```"
            }
        ]
    },
    {
        "id": 168,
        "data_source": "Mono3DRefer",
        "scene_name": "000339",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.78, -1.72, 2.37, -1.88, -1.8, 1.84], \"boxes_2d\": [[346.34, 185.91, 427.94, 241.3], [634.11, 180.06, 712.16, 237.37], [0.0, 203.67, 150.67, 374.0], [723.32, 167.34, 974.03, 337.08], [661.72, 174.72, 802.4, 268.54], [265.91, 190.56, 396.89, 272.86]], \"boxes_3d\": [[1.42, 1.51, 3.71, -6.42, 1.82, 20.98], [1.37, 1.51, 3.49, 1.55, 1.57, 19.19], [1.5, 1.68, 4.03, -5.37, 1.79, 5.01], [1.6, 1.7, 3.56, 2.52, 1.57, 8.66], [1.52, 1.73, 3.89, 2.12, 1.59, 13.86], [1.44, 1.6, 3.79, -5.75, 1.85, 15.22]], \"ry\": [1.48, -1.65, 1.57, -1.61, -1.66, 1.48]}\n```"
            }
        ]
    },
    {
        "id": 169,
        "data_source": "Mono3DRefer",
        "scene_name": "000343",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.63, -1.83, 1.69, -1.56], \"boxes_2d\": [[795.44, 165.84, 836.84, 206.61], [870.06, 158.97, 1051.89, 278.85], [608.99, 177.0, 687.68, 239.1], [684.7, 172.14, 719.08, 205.22]], \"boxes_3d\": [[1.82, 1.65, 3.67, 9.69, 1.53, 34.2], [1.72, 1.67, 4.42, 5.84, 1.55, 12.68], [1.44, 1.56, 3.84, 1.05, 1.56, 18.72], [1.5, 1.55, 4.21, 4.46, 1.5, 35.16]], \"ry\": [-1.35, -1.4, 1.75, -1.44]}\n```"
            }
        ]
    },
    {
        "id": 170,
        "data_source": "Mono3DRefer",
        "scene_name": "000345",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -1.27, -1.29, -1.26, -1.53], \"boxes_2d\": [[569.9, 176.8, 622.56, 224.82], [244.92, 192.9, 443.88, 309.21], [361.07, 181.46, 429.1, 221.25], [342.45, 176.51, 395.61, 206.98], [535.64, 181.22, 564.13, 202.81]], \"boxes_3d\": [[1.6, 1.76, 3.84, -0.46, 1.31, 26.13], [1.36, 1.62, 3.99, -3.76, 1.52, 10.91], [1.4, 1.46, 3.84, -8.09, 1.27, 27.54], [1.5, 1.57, 3.63, -12.41, 1.06, 37.49], [1.3, 1.61, 4.39, -3.68, 1.05, 46.02]], \"ry\": [-1.59, -1.59, -1.57, -1.58, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 171,
        "data_source": "Mono3DRefer",
        "scene_name": "000349",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.89, 2.03, -1.55], \"boxes_2d\": [[291.36, 186.88, 456.08, 286.55], [250.72, 188.18, 385.56, 257.82], [615.88, 174.36, 669.64, 226.21]], \"boxes_3d\": [[1.44, 1.61, 3.66, -3.96, 1.71, 12.58], [1.41, 1.53, 3.37, -6.67, 1.79, 16.73], [1.61, 1.66, 3.2, 1.08, 1.68, 24.19]], \"ry\": [1.59, 1.66, -1.51]}\n```"
            }
        ]
    },
    {
        "id": 172,
        "data_source": "Mono3DRefer",
        "scene_name": "000352",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.79, -1.78, 1.83, 1.78, -1.7, 1.72, -1.77, -1.67, -1.7, -1.92], \"boxes_2d\": [[0.0, 204.1, 95.82, 332.11], [710.76, 170.47, 841.04, 267.61], [299.47, 192.19, 445.76, 284.47], [397.5, 176.83, 489.93, 248.55], [670.6, 174.13, 742.17, 229.83], [455.68, 180.68, 520.43, 233.87], [661.58, 177.82, 724.1, 218.7], [626.7, 179.69, 651.2, 198.67], [529.25, 183.74, 555.11, 200.73], [760.92, 175.17, 1106.31, 374.0]], \"boxes_3d\": [[1.5, 1.52, 3.65, -9.2, 1.95, 9.54], [1.56, 1.57, 3.78, 2.91, 1.55, 13.6], [1.47, 1.71, 3.85, -4.47, 1.88, 14.05], [1.73, 1.65, 3.7, -4.4, 1.85, 19.41], [1.54, 1.66, 3.79, 2.82, 1.6, 22.06], [1.68, 1.63, 3.94, -4.18, 1.96, 25.06], [1.48, 1.64, 4.15, 3.15, 1.69, 28.47], [1.45, 1.61, 3.34, 2.26, 2.01, 57.48], [1.34, 1.69, 3.6, -5.7, 2.26, 60.12], [1.51, 1.59, 4.28, 2.78, 1.56, 7.43]], \"ry\": [0.04, -1.57, 1.53, 1.56, -1.57, 1.56, -1.66, -1.63, -1.79, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 173,
        "data_source": "Mono3DRefer",
        "scene_name": "000353",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.02, 1.85], \"boxes_2d\": [[0.0, 177.92, 277.51, 356.22], [265.35, 157.96, 398.99, 238.6]], \"boxes_3d\": [[1.41, 1.72, 4.41, -5.33, 1.49, 7.92], [1.62, 1.75, 4.3, -6.32, 1.35, 16.81]], \"ry\": [1.44, 1.49]}\n```"
            }
        ]
    },
    {
        "id": 174,
        "data_source": "Mono3DRefer",
        "scene_name": "000356",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.77, 1.88, -1.49, -1.73, -1.7, -1.62], \"boxes_2d\": [[632.32, 179.44, 744.64, 261.52], [0.0, 96.93, 369.53, 374.0], [408.14, 180.2, 467.6, 232.49], [612.33, 179.35, 678.37, 233.96], [588.02, 180.18, 643.47, 225.1], [570.29, 179.79, 603.15, 207.92]], \"boxes_3d\": [[1.57, 1.72, 3.52, 1.54, 1.72, 15.76], [2.01, 1.89, 4.91, -3.55, 1.62, 6.43], [1.65, 1.67, 3.81, -5.91, 1.91, 24.96], [1.52, 1.51, 3.1, 0.97, 1.73, 21.96], [1.53, 1.58, 3.53, 0.11, 1.81, 26.63], [1.46, 1.6, 3.71, -1.35, 1.85, 39.74]], \"ry\": [-1.67, 1.39, -1.72, -1.68, -1.7, -1.65]}\n```"
            }
        ]
    },
    {
        "id": 175,
        "data_source": "Mono3DRefer",
        "scene_name": "000360",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.43, 1.99], \"boxes_2d\": [[776.46, 184.15, 929.46, 246.93], [261.47, 187.05, 321.92, 217.2]], \"boxes_3d\": [[1.42, 1.58, 3.48, 6.05, 1.72, 18.41], [1.53, 1.81, 3.33, -17.39, 2.33, 39.51]], \"ry\": [-2.12, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 176,
        "data_source": "Mono3DRefer",
        "scene_name": "000363",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.71, 1.63, -1.58], \"boxes_2d\": [[497.17, 176.9, 546.51, 215.54], [546.67, 179.5, 570.87, 201.21], [589.26, 175.64, 633.83, 220.04]], \"boxes_3d\": [[1.58, 1.6, 4.11, -3.85, 1.78, 31.83], [1.52, 1.55, 3.79, -3.76, 2.02, 53.07], [1.62, 1.63, 4.5, 0.01, 1.76, 28.89]], \"ry\": [1.59, 1.56, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 177,
        "data_source": "Mono3DRefer",
        "scene_name": "000367",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.67], \"boxes_2d\": [[500.15, 178.76, 534.67, 203.63]], \"boxes_3d\": [[1.51, 1.81, 4.07, -5.95, 1.91, 46.56]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 178,
        "data_source": "Mono3DRefer",
        "scene_name": "000372",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.9, 2.19], \"boxes_2d\": [[364.11, 184.83, 411.55, 208.32], [5.93, 196.11, 172.41, 263.52]], \"boxes_3d\": [[1.56, 1.91, 4.44, -15.82, 2.44, 51.55], [1.48, 1.71, 3.54, -13.28, 2.13, 18.61]], \"ry\": [1.6, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 179,
        "data_source": "Mono3DRefer",
        "scene_name": "000375",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.02], \"boxes_2d\": [[152.36, 186.52, 377.23, 296.17]], \"boxes_3d\": [[1.42, 1.78, 3.62, -5.12, 1.53, 11.45]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 180,
        "data_source": "Mono3DRefer",
        "scene_name": "000379",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.23, 1.92], \"boxes_2d\": [[0.0, 194.65, 117.25, 259.47], [340.99, 187.85, 386.73, 209.47]], \"boxes_3d\": [[1.63, 1.87, 3.47, -16.34, 2.3, 20.76], [1.33, 1.72, 3.63, -16.34, 2.35, 48.0]], \"ry\": [1.57, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 181,
        "data_source": "Mono3DRefer",
        "scene_name": "000380",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, 2.43, 1.87, -1.56], \"boxes_2d\": [[602.22, 183.66, 675.02, 243.48], [1074.45, 174.52, 1235.26, 220.02], [364.22, 184.46, 419.74, 217.0], [584.44, 182.86, 628.16, 223.09]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.63, 1.66, 18.55], [1.45, 1.67, 4.32, 18.46, 1.53, 24.59], [1.59, 1.72, 3.86, -11.45, 2.22, 38.03], [1.52, 1.67, 3.61, -0.17, 1.94, 29.53]], \"ry\": [-1.57, 3.07, 1.58, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 182,
        "data_source": "Mono3DRefer",
        "scene_name": "000383",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.99, 1.64], \"boxes_2d\": [[0.0, 193.02, 354.35, 369.0], [452.52, 168.47, 485.07, 192.21]], \"boxes_3d\": [[1.5, 1.78, 3.69, -3.21, 1.64, 4.56], [1.45, 1.75, 4.23, -8.77, 0.7, 45.82]], \"ry\": [-1.57, 1.46]}\n```"
            }
        ]
    },
    {
        "id": 183,
        "data_source": "Mono3DRefer",
        "scene_name": "000385",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.88, 1.67, 1.43, 1.59, -1.64], \"boxes_2d\": [[754.96, 190.98, 1024.52, 371.56], [505.9, 180.2, 564.96, 228.71], [668.54, 181.0, 743.45, 239.03], [552.32, 182.21, 582.49, 209.94], [648.43, 178.32, 683.42, 209.11]], \"boxes_3d\": [[1.46, 1.54, 3.62, 2.68, 1.69, 7.91], [1.52, 1.57, 4.42, -2.53, 1.78, 25.01], [1.51, 1.58, 3.92, 2.65, 1.75, 20.96], [1.46, 1.6, 3.33, -2.38, 1.99, 40.29], [1.64, 1.7, 3.54, 3.08, 1.96, 40.62]], \"ry\": [-1.57, 1.57, 1.55, 1.53, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 184,
        "data_source": "Mono3DRefer",
        "scene_name": "000386",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.45, -1.0, -1.57, -1.12, -0.96, -1.25, -1.37, -1.33], \"boxes_2d\": [[498.87, 183.73, 546.62, 217.13], [40.27, 185.85, 205.47, 253.22], [569.27, 178.19, 613.88, 218.86], [0.0, 180.33, 410.1, 375.0], [0.0, 190.67, 209.01, 310.58], [306.71, 177.56, 400.23, 233.63], [421.49, 183.49, 508.95, 243.09], [383.23, 182.22, 447.69, 219.8]], \"boxes_3d\": [[1.37, 1.61, 4.21, -3.79, 1.32, 32.35], [1.5, 1.55, 3.99, -12.27, 1.54, 18.48], [1.6, 1.76, 3.84, -0.71, 1.32, 30.51], [1.64, 1.72, 4.24, -3.19, 1.61, 6.23], [1.45, 1.61, 3.72, -7.92, 1.57, 10.89], [1.65, 1.66, 3.96, -8.14, 1.41, 23.27], [1.48, 1.64, 3.81, -3.9, 1.44, 20.07], [1.44, 1.71, 3.78, -7.97, 1.33, 30.01]], \"ry\": [-1.56, -1.58, -1.59, -1.58, -1.58, -1.58, -1.56, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 185,
        "data_source": "Mono3DRefer",
        "scene_name": "000387",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.85, 1.75, -0.81, -1.56], \"boxes_2d\": [[385.14, 187.58, 435.98, 213.25], [466.19, 185.79, 492.19, 203.1], [633.8, 178.74, 674.57, 196.78], [578.22, 183.58, 638.11, 240.81]], \"boxes_3d\": [[1.29, 1.57, 4.38, -11.05, 2.14, 40.16], [1.4, 1.54, 3.67, -11.23, 2.53, 62.02], [1.53, 1.57, 3.54, 3.91, 2.06, 63.69], [1.56, 1.65, 3.69, -0.07, 1.9, 21.91]], \"ry\": [1.58, 1.58, -0.75, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 186,
        "data_source": "Mono3DRefer",
        "scene_name": "000388",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.51], \"boxes_2d\": [[527.71, 176.48, 549.82, 196.14]], \"boxes_3d\": [[1.66, 1.73, 3.05, -6.23, 2.0, 63.22]], \"ry\": [-1.61]}\n```"
            }
        ]
    },
    {
        "id": 187,
        "data_source": "Mono3DRefer",
        "scene_name": "000390",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.6, 1.45], \"boxes_2d\": [[478.55, 182.18, 520.33, 225.26], [463.21, 185.28, 499.61, 210.78]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.67, 2.09, 30.59], [1.47, 1.7, 4.39, -8.06, 2.26, 44.83]], \"ry\": [1.45, 1.27]}\n```"
            }
        ]
    },
    {
        "id": 188,
        "data_source": "Mono3DRefer",
        "scene_name": "000391",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.17, -1.58], \"boxes_2d\": [[210.96, 184.65, 348.23, 254.44], [579.01, 176.54, 617.32, 211.48]], \"boxes_3d\": [[1.48, 1.64, 3.82, -7.88, 1.49, 17.58], [1.6, 1.76, 3.84, -0.52, 1.2, 35.2]], \"ry\": [-1.58, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 189,
        "data_source": "Mono3DRefer",
        "scene_name": "000397",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.28, 0.22, -1.65, -2.28, -1.73, -2.72], \"boxes_2d\": [[276.87, 183.57, 461.62, 243.88], [388.39, 173.86, 510.32, 224.45], [646.35, 182.83, 689.23, 218.42], [888.59, 220.02, 1241.0, 374.0], [659.74, 174.77, 737.6, 237.05], [248.74, 184.15, 423.42, 251.5]], \"boxes_3d\": [[1.52, 1.71, 4.49, -6.52, 1.84, 19.76], [1.95, 1.64, 4.57, -6.48, 2.02, 29.27], [1.54, 1.67, 3.72, 2.61, 2.02, 33.67], [1.35, 1.58, 4.05, 2.91, 1.7, 3.38], [1.76, 1.71, 4.35, 2.65, 1.85, 22.78], [1.52, 1.58, 3.61, -6.58, 1.82, 17.43]], \"ry\": [-0.03, 0.0, -1.57, -1.61, -1.62, -3.08]}\n```"
            }
        ]
    },
    {
        "id": 190,
        "data_source": "Mono3DRefer",
        "scene_name": "000400",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.75, -2.15, -2.73, -1.67], \"boxes_2d\": [[685.77, 178.12, 767.02, 235.21], [885.8, 160.44, 1241.0, 374.0], [928.61, 177.14, 1016.83, 209.77], [642.24, 178.5, 680.14, 208.68]], \"boxes_3d\": [[1.5, 1.62, 3.89, 3.27, 1.67, 21.18], [1.69, 1.58, 3.95, 3.64, 1.65, 5.47], [1.48, 1.36, 3.51, 17.33, 1.71, 34.63], [1.38, 1.49, 3.32, 2.41, 1.66, 34.98]], \"ry\": [-1.6, -1.59, -2.27, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 191,
        "data_source": "Mono3DRefer",
        "scene_name": "000404",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.63, -1.67, -0.93, -1.2, -1.56, -1.33, -1.2, -1.4, -1.43], \"boxes_2d\": [[508.52, 182.69, 530.26, 200.4], [541.75, 178.07, 619.77, 243.03], [0.0, 206.32, 92.31, 361.15], [86.85, 193.98, 287.9, 295.95], [446.5, 180.26, 502.06, 231.81], [250.73, 185.67, 353.31, 242.13], [142.94, 186.08, 260.39, 238.86], [349.56, 183.91, 401.96, 218.31], [379.97, 183.36, 419.63, 210.15]], \"boxes_3d\": [[1.37, 1.54, 3.56, -7.23, 1.18, 58.51], [1.6, 1.76, 3.84, -0.88, 1.42, 19.9], [1.36, 1.61, 3.76, -6.33, 1.61, 6.04], [1.37, 1.59, 3.89, -6.96, 1.57, 12.31], [1.58, 1.68, 3.95, -4.53, 1.42, 24.3], [1.42, 1.69, 4.53, -8.78, 1.45, 20.96], [1.42, 1.7, 4.13, -12.31, 1.47, 22.05], [1.42, 1.53, 4.2, -10.47, 1.38, 32.59], [1.43, 1.62, 4.08, -11.91, 1.34, 41.31]], \"ry\": [-1.75, -1.71, -1.71, -1.71, -1.75, -1.73, -1.7, -1.7, -1.71]}\n```"
            }
        ]
    },
    {
        "id": 192,
        "data_source": "Mono3DRefer",
        "scene_name": "000408",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.75, -1.8, -1.67, -1.43, 1.52, -2.71], \"boxes_2d\": [[468.04, 170.73, 546.7, 233.79], [719.27, 175.5, 893.58, 317.32], [692.1, 186.0, 792.66, 266.59], [513.36, 178.43, 567.15, 215.41], [635.66, 175.74, 663.8, 200.02], [147.2, 164.76, 390.58, 245.63]], \"boxes_3d\": [[1.7, 1.63, 4.08, -3.01, 1.67, 21.68], [1.59, 1.59, 2.47, 2.36, 1.64, 9.39], [1.37, 1.59, 3.22, 2.45, 1.65, 14.21], [1.4, 1.67, 3.72, -2.82, 1.64, 29.51], [1.49, 1.61, 3.74, 2.5, 1.69, 46.52], [1.59, 1.63, 4.43, -7.2, 1.46, 15.42]], \"ry\": [1.61, -1.56, -1.5, -1.52, 1.57, -3.14]}\n```"
            }
        ]
    },
    {
        "id": 193,
        "data_source": "Mono3DRefer",
        "scene_name": "000423",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, 1.22, 1.07, -1.41, -1.43, 0.88, -1.94, -1.65, 1.94, -1.55, 2.17], \"boxes_2d\": [[588.54, 175.38, 639.37, 216.74], [0.0, 177.11, 267.66, 342.47], [258.28, 182.96, 411.21, 252.17], [455.11, 187.46, 552.0, 256.65], [498.82, 180.98, 573.83, 235.69], [393.2, 171.2, 503.41, 217.02], [777.98, 193.67, 1108.47, 374.0], [653.12, 172.87, 698.79, 209.4], [286.95, 176.44, 352.29, 206.4], [582.32, 173.28, 616.64, 204.6], [66.48, 179.17, 194.54, 229.71]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.06, 1.48, 25.82], [1.57, 1.64, 3.49, -5.83, 1.64, 8.56], [1.38, 1.55, 3.89, -6.38, 1.63, 16.42], [1.3, 1.55, 3.51, -2.27, 1.65, 15.88], [1.43, 1.62, 3.76, -2.09, 1.68, 20.99], [1.57, 1.67, 4.2, -6.08, 1.55, 26.73], [1.38, 1.55, 3.6, 2.81, 1.63, 7.07], [1.45, 1.64, 3.7, 2.72, 1.48, 30.8], [1.43, 1.73, 4.09, -14.8, 1.63, 36.92], [1.52, 1.67, 3.61, -0.54, 1.56, 37.13], [1.44, 1.52, 3.66, -14.9, 1.65, 22.6]], \"ry\": [-1.59, 0.64, 0.7, -1.55, -1.52, 0.65, -1.57, -1.56, 1.56, -1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 194,
        "data_source": "Mono3DRefer",
        "scene_name": "000424",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.12, -1.15, -0.79, -0.66, -1.78, -1.58], \"boxes_2d\": [[0.0, 212.29, 104.2, 363.9], [1163.91, 101.79, 1241.0, 348.72], [808.1, 168.13, 1113.18, 277.74], [714.47, 179.8, 886.14, 249.89], [443.39, 191.54, 525.24, 239.61], [346.03, 191.56, 399.53, 239.41]], \"boxes_3d\": [[1.46, 1.77, 4.59, -7.17, 1.97, 7.19], [2.04, 1.66, 4.62, 7.43, 1.43, 6.44], [1.53, 1.61, 4.73, 5.69, 1.48, 11.77], [1.4, 1.56, 3.48, 4.21, 1.57, 16.13], [1.27, 1.66, 4.06, -4.02, 1.89, 22.33], [1.48, 1.67, 4.5, -8.58, 2.19, 25.92]], \"ry\": [1.35, -0.32, -0.35, -0.41, -1.96, -1.9]}\n```"
            }
        ]
    },
    {
        "id": 195,
        "data_source": "Mono3DRefer",
        "scene_name": "000426",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.72, 1.32, 1.61], \"boxes_2d\": [[561.98, 171.7, 598.29, 199.34], [163.01, 175.67, 252.5, 233.64], [485.07, 168.49, 508.46, 190.68]], \"boxes_3d\": [[1.53, 1.59, 3.64, -1.82, 1.5, 42.27], [1.46, 1.42, 3.12, -11.18, 1.56, 19.9], [1.63, 1.6, 3.73, -8.67, 1.33, 55.32]], \"ry\": [-1.76, 0.81, 1.46]}\n```"
            }
        ]
    },
    {
        "id": 196,
        "data_source": "Mono3DRefer",
        "scene_name": "000431",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.9, 0.3], \"boxes_2d\": [[252.46, 192.48, 460.47, 303.07], [358.54, 180.26, 478.34, 219.94]], \"boxes_3d\": [[1.37, 1.79, 4.16, -3.82, 1.73, 11.56], [1.56, 1.71, 4.5, -7.95, 1.89, 30.03]], \"ry\": [1.59, 0.05]}\n```"
            }
        ]
    },
    {
        "id": 197,
        "data_source": "Mono3DRefer",
        "scene_name": "000434",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.67], \"boxes_2d\": [[523.39, 181.74, 563.85, 210.43]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.58, 1.95, 39.17]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 198,
        "data_source": "Mono3DRefer",
        "scene_name": "000437",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.57, -1.53], \"boxes_2d\": [[578.12, 174.63, 602.09, 193.62], [550.59, 172.0, 571.91, 189.09]], \"boxes_3d\": [[1.26, 1.6, 3.56, -1.41, 1.4, 50.19], [1.37, 1.63, 3.57, -4.08, 1.33, 60.48]], \"ry\": [-1.6, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 199,
        "data_source": "Mono3DRefer",
        "scene_name": "000439",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.62, 1.94, -1.66, -1.73, -1.66, -1.65], \"boxes_2d\": [[653.06, 176.52, 682.68, 201.9], [409.81, 179.85, 461.2, 207.65], [721.71, 172.95, 817.57, 256.37], [695.16, 175.52, 776.14, 235.1], [677.99, 177.3, 731.55, 221.49], [666.4, 177.18, 714.19, 214.23]], \"boxes_3d\": [[1.44, 1.58, 3.28, 3.74, 1.22, 42.4], [1.49, 1.58, 3.84, -9.72, 1.48, 40.84], [1.54, 1.57, 3.52, 3.31, 1.4, 14.88], [1.5, 1.63, 3.57, 3.53, 1.38, 19.82], [1.47, 1.59, 3.64, 3.55, 1.37, 25.75], [1.49, 1.74, 4.09, 3.66, 1.36, 30.98]], \"ry\": [-1.53, 1.71, -1.45, -1.56, -1.52, -1.53]}\n```"
            }
        ]
    },
    {
        "id": 200,
        "data_source": "Mono3DRefer",
        "scene_name": "000442",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-3.13, -1.8, 1.92, -1.66, 1.79, 1.76], \"boxes_2d\": [[0.0, 159.03, 494.32, 360.76], [1075.07, 174.07, 1241.0, 335.66], [632.66, 179.46, 760.83, 250.58], [1006.86, 174.37, 1093.85, 237.63], [773.24, 171.55, 840.29, 215.18], [807.41, 169.93, 857.61, 205.23]], \"boxes_3d\": [[1.79, 1.69, 4.72, -3.88, 1.67, 8.06], [1.57, 1.65, 3.35, 6.74, 1.59, 8.54], [1.43, 1.7, 3.95, 2.1, 1.6, 16.8], [1.51, 1.6, 3.24, 11.44, 1.56, 18.98], [1.54, 1.68, 3.79, 7.55, 1.52, 27.6], [1.49, 1.52, 3.35, 9.98, 1.39, 32.34]], \"ry\": [2.72, -1.15, 2.04, -1.13, 2.05, 2.06]}\n```"
            }
        ]
    },
    {
        "id": 201,
        "data_source": "Mono3DRefer",
        "scene_name": "000444",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.59], \"boxes_2d\": [[479.11, 183.1, 535.42, 233.56]], \"boxes_3d\": [[1.41, 1.59, 4.47, -3.25, 1.75, 22.93]], \"ry\": [1.45]}\n```"
            }
        ]
    },
    {
        "id": 202,
        "data_source": "Mono3DRefer",
        "scene_name": "000445",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.93, 1.1, -1.38, -1.48, 0.92, -1.83, -1.76, -1.76, -1.67, -1.56, 2.08, -1.61], \"boxes_2d\": [[42.54, 190.42, 309.53, 334.07], [277.41, 173.84, 415.74, 245.98], [423.22, 186.1, 547.54, 261.21], [482.21, 178.1, 553.59, 237.84], [406.03, 178.47, 495.72, 218.4], [736.14, 178.4, 950.04, 311.52], [696.96, 181.57, 821.53, 257.73], [680.79, 168.11, 755.6, 227.63], [642.92, 172.48, 678.59, 199.68], [591.88, 171.81, 629.99, 206.58], [191.08, 174.86, 278.16, 211.39], [589.09, 173.69, 649.29, 222.7]], \"boxes_3d\": [[1.36, 1.57, 3.73, -5.43, 1.59, 8.76], [1.48, 1.57, 3.48, -6.16, 1.53, 16.58], [1.25, 1.74, 3.66, -2.36, 1.54, 14.27], [1.46, 1.59, 3.65, -2.46, 1.61, 19.64], [1.37, 1.52, 3.3, -5.92, 1.6, 26.52], [1.46, 1.72, 3.95, 2.88, 1.55, 9.97], [1.32, 1.7, 4.04, 2.84, 1.51, 14.77], [1.56, 1.48, 3.36, 2.99, 1.46, 20.77], [1.38, 1.55, 3.6, 2.66, 1.39, 38.81], [1.52, 1.67, 3.61, 0.03, 1.5, 33.62], [1.36, 1.54, 3.57, -15.0, 1.46, 28.95], [1.36, 1.69, 3.38, 0.17, 1.42, 22.06]], \"ry\": [-2.47, 0.75, -1.55, -1.61, 0.71, -1.55, -1.57, -1.62, -1.6, -1.56, 1.61, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 203,
        "data_source": "Mono3DRefer",
        "scene_name": "000446",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.89], \"boxes_2d\": [[279.8, 187.2, 457.86, 290.93]], \"boxes_3d\": [[1.42, 1.75, 3.45, -3.83, 1.68, 11.93]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 204,
        "data_source": "Mono3DRefer",
        "scene_name": "000456",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.73, 1.68], \"boxes_2d\": [[430.72, 183.25, 527.97, 265.85], [529.14, 190.0, 561.33, 220.42]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.48, 2.28, 19.82], [1.7, 1.53, 3.82, -3.92, 2.78, 43.91]], \"ry\": [1.56, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 205,
        "data_source": "Mono3DRefer",
        "scene_name": "000458",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.55, 2.58, -0.36, -0.14, 2.82], \"boxes_2d\": [[568.92, 187.9, 601.65, 218.78], [833.36, 179.28, 1241.0, 320.04], [799.64, 182.05, 1110.83, 284.44], [725.97, 183.08, 909.52, 244.22], [778.11, 181.42, 1009.84, 269.98]], \"boxes_3d\": [[1.43, 1.55, 3.91, -1.24, 2.22, 36.66], [1.51, 1.65, 4.21, 5.08, 1.61, 8.89], [1.48, 1.49, 4.16, 5.22, 1.65, 11.39], [1.51, 1.69, 4.42, 5.29, 1.8, 19.0], [1.56, 1.5, 3.8, 5.23, 1.74, 13.73]], \"ry\": [-1.58, 3.09, 0.06, 0.12, -3.11]}\n```"
            }
        ]
    },
    {
        "id": 206,
        "data_source": "Mono3DRefer",
        "scene_name": "000460",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-0.49], \"boxes_2d\": [[848.06, 166.46, 1169.62, 266.92]], \"boxes_3d\": [[1.31, 1.61, 3.78, 5.7, 1.14, 10.37]], \"ry\": [0.01]}\n```"
            }
        ]
    },
    {
        "id": 207,
        "data_source": "Mono3DRefer",
        "scene_name": "000466",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.18, -1.13, -1.07], \"boxes_2d\": [[0.0, 202.01, 78.4, 256.99], [168.27, 197.83, 248.95, 232.61], [103.56, 195.13, 191.97, 232.11]], \"boxes_3d\": [[1.42, 1.55, 3.45, -17.79, 2.35, 21.42], [1.42, 1.7, 4.14, -18.84, 2.66, 34.01], [1.52, 1.71, 4.11, -21.57, 2.62, 33.81]], \"ry\": [1.5, -1.63, -1.64]}\n```"
            }
        ]
    },
    {
        "id": 208,
        "data_source": "Mono3DRefer",
        "scene_name": "000468",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.59, 2.14, 1.87, 1.8], \"boxes_2d\": [[545.04, 171.56, 725.68, 345.64], [49.02, 188.06, 216.81, 258.63], [357.74, 179.41, 416.33, 212.69], [428.4, 177.97, 465.31, 201.19]], \"boxes_3d\": [[1.66, 1.73, 3.05, 0.19, 1.68, 8.49], [1.44, 1.59, 3.62, -11.17, 1.83, 17.13], [1.6, 1.75, 4.0, -11.43, 1.95, 37.15], [1.58, 1.63, 4.31, -11.65, 1.96, 51.67]], \"ry\": [-1.57, 1.57, 1.58, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 209,
        "data_source": "Mono3DRefer",
        "scene_name": "000472",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.39, -1.7, -1.44, -1.74, -1.56], \"boxes_2d\": [[415.93, 191.38, 542.17, 274.1], [668.78, 173.34, 724.4, 214.95], [501.66, 182.97, 566.24, 232.28], [705.32, 175.05, 811.89, 257.62], [650.77, 175.51, 678.32, 198.63]], \"boxes_3d\": [[1.33, 1.71, 4.09, -2.48, 1.74, 14.37], [1.49, 1.56, 4.34, 3.28, 1.54, 28.3], [1.42, 1.53, 4.12, -2.41, 1.77, 23.34], [1.59, 1.59, 3.89, 3.11, 1.67, 16.02], [1.38, 1.64, 3.51, 3.41, 1.56, 45.16]], \"ry\": [-1.56, -1.59, -1.54, -1.56, -1.48]}\n```"
            }
        ]
    },
    {
        "id": 210,
        "data_source": "Mono3DRefer",
        "scene_name": "000473",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[589.61, 176.67, 629.93, 204.43]], \"boxes_3d\": [[1.5, 1.7, 3.77, 0.01, 1.74, 41.31]], \"ry\": [1.74]}\n```"
            }
        ]
    },
    {
        "id": 211,
        "data_source": "Mono3DRefer",
        "scene_name": "000474",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.42, 0.23], \"boxes_2d\": [[0.0, 191.88, 126.19, 334.21], [476.61, 182.36, 540.64, 201.35]], \"boxes_3d\": [[1.47, 1.74, 4.26, -8.4, 1.73, 8.36], [1.36, 1.68, 4.49, -7.62, 2.1, 54.26]], \"ry\": [3.09, 0.09]}\n```"
            }
        ]
    },
    {
        "id": 212,
        "data_source": "Mono3DRefer",
        "scene_name": "000475",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.36, 1.17, 2.02, -1.84, 1.77, -1.76, -1.78, 1.72], \"boxes_2d\": [[0.0, 219.52, 124.24, 374.0], [778.02, 179.39, 1039.21, 326.67], [236.28, 189.45, 408.55, 278.63], [712.17, 178.42, 848.83, 261.79], [440.52, 177.48, 499.12, 218.69], [672.89, 174.42, 744.46, 225.55], [663.39, 174.1, 718.81, 215.12], [471.97, 178.16, 513.17, 210.58]], \"boxes_3d\": [[1.48, 1.5, 3.58, -5.71, 1.94, 5.48], [1.46, 1.61, 3.61, 3.39, 1.55, 9.05], [1.48, 1.56, 4.09, -5.61, 1.85, 14.55], [1.46, 1.67, 3.89, 3.27, 1.59, 14.79], [1.56, 1.63, 3.62, -5.68, 1.77, 29.44], [1.51, 1.6, 3.54, 3.07, 1.58, 23.33], [1.53, 1.5, 3.34, 3.16, 1.6, 28.92], [1.46, 1.43, 3.52, -5.6, 1.72, 34.51]], \"ry\": [1.58, 1.52, 1.65, -1.63, 1.58, -1.64, -1.68, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 213,
        "data_source": "Mono3DRefer",
        "scene_name": "000476",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.76], \"boxes_2d\": [[523.34, 179.86, 576.42, 215.46]], \"boxes_3d\": [[1.5, 1.7, 3.77, -2.69, 1.83, 32.66]], \"ry\": [1.68]}\n```"
            }
        ]
    },
    {
        "id": 214,
        "data_source": "Mono3DRefer",
        "scene_name": "000479",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, 2.11, 1.88], \"boxes_2d\": [[589.93, 174.78, 612.54, 196.55], [137.13, 189.29, 249.89, 241.12], [364.97, 181.32, 408.12, 204.97]], \"boxes_3d\": [[1.66, 1.73, 3.05, -0.7, 1.84, 57.25], [1.6, 1.77, 3.58, -14.29, 2.2, 24.92], [1.52, 1.76, 3.66, -15.14, 2.11, 48.98]], \"ry\": [-1.57, 1.59, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 215,
        "data_source": "Mono3DRefer",
        "scene_name": "000480",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.06, -1.56], \"boxes_2d\": [[196.1, 190.3, 289.39, 235.77], [590.44, 177.5, 613.13, 199.35]], \"boxes_3d\": [[1.6, 1.77, 3.58, -14.3, 2.32, 28.23], [1.66, 1.73, 3.05, -0.65, 2.05, 57.03]], \"ry\": [1.59, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 216,
        "data_source": "Mono3DRefer",
        "scene_name": "000481",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.08, 1.89], \"boxes_2d\": [[148.13, 189.8, 257.18, 236.2], [343.11, 182.31, 397.82, 212.66]], \"boxes_3d\": [[1.56, 1.7, 4.35, -15.47, 2.25, 27.62], [1.6, 1.79, 3.91, -13.47, 2.15, 40.7]], \"ry\": [1.58, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 217,
        "data_source": "Mono3DRefer",
        "scene_name": "000482",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.83, -2.07], \"boxes_2d\": [[741.97, 183.19, 861.27, 265.09], [930.97, 181.98, 1104.68, 267.35]], \"boxes_3d\": [[1.42, 1.45, 3.2, 3.63, 1.64, 14.33], [1.43, 1.48, 3.25, 7.64, 1.62, 13.92]], \"ry\": [-1.59, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 218,
        "data_source": "Mono3DRefer",
        "scene_name": "000483",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.31, -1.55, -1.17, 2.14, 1.84, 2.16, 2.0, -1.19], \"boxes_2d\": [[0.0, 188.34, 180.35, 254.08], [618.28, 175.23, 687.01, 239.9], [819.32, 173.48, 1055.85, 300.28], [23.58, 191.67, 335.55, 316.88], [521.48, 171.38, 571.92, 208.69], [186.3, 183.78, 335.75, 248.62], [411.36, 182.32, 488.84, 216.78], [673.08, 170.65, 719.89, 196.26]], \"boxes_3d\": [[1.45, 1.5, 4.53, -13.6, 1.89, 18.88], [1.56, 1.65, 3.69, 1.13, 1.64, 19.37], [1.39, 1.61, 3.65, 4.5, 1.41, 9.76], [1.45, 1.84, 4.59, -6.2, 1.78, 11.11], [1.76, 1.58, 3.68, -3.13, 1.71, 36.05], [1.56, 1.62, 4.19, -9.46, 1.89, 19.87], [1.42, 1.67, 4.53, -7.15, 1.87, 32.6], [1.54, 1.63, 3.74, 5.46, 1.43, 45.4]], \"ry\": [1.7, -1.5, -0.75, 1.64, 1.75, 1.72, 1.78, -1.07]}\n```"
            }
        ]
    },
    {
        "id": 219,
        "data_source": "Mono3DRefer",
        "scene_name": "000484",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, -2.02, -1.72, -1.72, -1.68, -1.67], \"boxes_2d\": [[598.39, 180.1, 621.78, 202.36], [799.97, 160.37, 1241.0, 374.0], [684.17, 187.11, 773.82, 255.01], [671.57, 181.3, 743.12, 235.02], [658.55, 180.71, 700.88, 216.04], [646.88, 178.98, 686.81, 212.98]], \"boxes_3d\": [[1.54, 1.63, 3.67, -0.03, 2.08, 52.48], [1.7, 1.62, 3.76, 2.77, 1.66, 5.6], [1.4, 1.53, 3.56, 2.68, 1.77, 17.19], [1.49, 1.6, 3.81, 2.87, 1.76, 22.25], [1.48, 1.47, 3.7, 3.05, 1.84, 32.46], [1.64, 1.64, 3.89, 2.84, 1.97, 37.09]], \"ry\": [-1.58, -1.59, -1.57, -1.59, -1.59, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 220,
        "data_source": "Mono3DRefer",
        "scene_name": "000489",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.06], \"boxes_2d\": [[191.64, 193.69, 289.86, 234.81]], \"boxes_3d\": [[1.46, 1.86, 4.01, -14.84, 2.35, 29.18]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 221,
        "data_source": "Mono3DRefer",
        "scene_name": "000491",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, 1.86, 1.71, 1.71, 1.7], \"boxes_2d\": [[606.74, 175.5, 647.57, 216.5], [360.03, 188.7, 494.13, 267.15], [452.67, 181.72, 523.33, 234.02], [503.1, 178.25, 549.42, 209.29], [536.83, 171.21, 566.47, 193.9]], \"boxes_3d\": [[1.57, 1.56, 2.62, 0.67, 1.7, 29.25], [1.43, 1.68, 4.19, -3.86, 1.81, 15.78], [1.46, 1.59, 4.27, -3.76, 1.75, 22.62], [1.38, 1.62, 4.06, -3.97, 1.65, 34.48], [1.49, 1.53, 3.88, -4.02, 1.41, 49.86]], \"ry\": [-1.54, 1.62, 1.54, 1.6, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 222,
        "data_source": "Mono3DRefer",
        "scene_name": "000494",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, 2.2, 1.92, 1.85, 1.73, 1.76], \"boxes_2d\": [[569.33, 180.88, 613.91, 225.02], [0.0, 196.14, 197.44, 318.81], [277.8, 187.26, 381.92, 243.5], [372.63, 185.0, 436.72, 225.33], [428.21, 183.03, 466.8, 213.09], [456.59, 185.8, 492.19, 207.04]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.78, 1.98, 29.11], [1.4, 1.68, 4.45, -8.35, 1.81, 10.84], [1.45, 1.62, 3.77, -8.14, 1.9, 21.21], [1.53, 1.46, 4.18, -8.55, 2.06, 30.24], [1.59, 1.57, 3.39, -9.09, 2.17, 40.46], [1.35, 1.63, 4.1, -9.27, 2.26, 49.47]], \"ry\": [-1.6, 1.56, 1.56, 1.58, 1.51, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 223,
        "data_source": "Mono3DRefer",
        "scene_name": "000497",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.36, 1.94, 1.95, -1.81, -1.65, 1.93], \"boxes_2d\": [[967.57, 190.81, 1241.0, 374.0], [167.9, 162.91, 421.8, 327.79], [432.08, 171.21, 549.68, 251.14], [782.31, 172.8, 979.41, 307.01], [757.95, 174.3, 850.33, 254.04], [623.7, 171.8, 703.33, 216.31]], \"boxes_3d\": [[1.53, 1.65, 4.37, 3.53, 1.65, 3.27], [1.74, 1.65, 4.18, -3.96, 1.67, 9.79], [1.64, 1.45, 3.48, -2.66, 1.62, 16.62], [1.61, 1.68, 4.04, 3.69, 1.63, 10.71], [1.52, 1.58, 4.28, 4.13, 1.58, 16.03], [1.54, 1.64, 4.08, 2.07, 1.53, 27.2]], \"ry\": [-1.59, 1.56, 1.79, -1.49, -1.4, 2.01]}\n```"
            }
        ]
    },
    {
        "id": 224,
        "data_source": "Mono3DRefer",
        "scene_name": "000505",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.25, -0.83], \"boxes_2d\": [[715.44, 167.9, 860.58, 213.12], [1057.74, 172.67, 1223.0, 369.0]], \"boxes_3d\": [[1.41, 1.63, 4.42, 6.03, 1.02, 23.69], [1.31, 1.61, 3.78, 5.61, 1.25, 5.07]], \"ry\": [-0.0, -0.02]}\n```"
            }
        ]
    },
    {
        "id": 225,
        "data_source": "Mono3DRefer",
        "scene_name": "000507",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.11, 1.89, 1.51], \"boxes_2d\": [[0.0, 204.34, 451.37, 374.0], [251.4, 193.39, 432.89, 340.06], [498.13, 182.5, 522.36, 205.1]], \"boxes_3d\": [[1.56, 1.56, 3.6, -2.4, 1.83, 4.69], [1.7, 1.43, 3.2, -3.67, 2.03, 10.31], [1.68, 1.63, 3.9, -7.85, 2.45, 56.46]], \"ry\": [1.66, 1.56, 1.37]}\n```"
            }
        ]
    },
    {
        "id": 226,
        "data_source": "Mono3DRefer",
        "scene_name": "000508",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.57], \"boxes_2d\": [[592.02, 175.19, 626.32, 208.22]], \"boxes_3d\": [[1.66, 1.73, 3.05, -0.07, 1.81, 38.24]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 227,
        "data_source": "Mono3DRefer",
        "scene_name": "000511",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.18, 2.11, 2.11, 2.01, 1.97], \"boxes_2d\": [[0.0, 186.41, 80.43, 227.94], [74.93, 186.07, 158.59, 219.56], [141.58, 184.83, 215.08, 212.93], [205.21, 179.74, 256.12, 206.75], [242.21, 182.35, 285.78, 204.55]], \"boxes_3d\": [[1.48, 1.44, 3.59, -22.59, 2.03, 28.06], [1.42, 1.68, 3.38, -22.71, 2.05, 33.31], [1.38, 1.52, 4.0, -22.93, 2.04, 38.43], [1.57, 1.47, 3.35, -23.19, 2.01, 44.16], [1.43, 1.48, 3.33, -23.43, 2.09, 48.92]], \"ry\": [1.51, 1.52, 1.57, 1.53, 1.52]}\n```"
            }
        ]
    },
    {
        "id": 228,
        "data_source": "Mono3DRefer",
        "scene_name": "000512",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.87], \"boxes_2d\": [[353.8, 184.03, 410.21, 216.95]], \"boxes_3d\": [[1.84, 2.04, 4.33, -13.69, 2.54, 43.52]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 229,
        "data_source": "Mono3DRefer",
        "scene_name": "000514",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.56], \"boxes_2d\": [[704.92, 175.38, 733.38, 203.2]], \"boxes_3d\": [[1.55, 1.57, 3.64, 6.41, 1.72, 42.44]], \"ry\": [-1.41]}\n```"
            }
        ]
    },
    {
        "id": 230,
        "data_source": "Mono3DRefer",
        "scene_name": "000523",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.88], \"boxes_2d\": [[308.91, 183.49, 444.19, 227.96]], \"boxes_3d\": [[1.47, 1.74, 4.26, -8.25, 1.87, 25.65]], \"ry\": [3.09]}\n```"
            }
        ]
    },
    {
        "id": 231,
        "data_source": "Mono3DRefer",
        "scene_name": "000526",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.7], \"boxes_2d\": [[546.05, 173.72, 575.08, 192.97]], \"boxes_3d\": [[1.42, 1.78, 3.62, -3.1, 0.84, 55.55]], \"ry\": [1.64]}\n```"
            }
        ]
    },
    {
        "id": 232,
        "data_source": "Mono3DRefer",
        "scene_name": "000528",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.85, 1.82, 1.8, 1.72], \"boxes_2d\": [[921.22, 188.3, 1241.0, 374.0], [478.15, 177.88, 559.52, 233.29], [543.72, 185.08, 602.33, 221.16], [626.07, 184.14, 658.56, 206.53]], \"boxes_3d\": [[1.53, 1.62, 3.77, 2.99, 1.63, 3.21], [1.76, 1.77, 4.41, -3.1, 1.95, 25.19], [1.48, 1.65, 4.4, -1.62, 2.05, 32.55], [1.42, 1.66, 3.64, 2.19, 2.2, 48.61]], \"ry\": [1.56, 1.7, 1.75, 1.76]}\n```"
            }
        ]
    },
    {
        "id": 233,
        "data_source": "Mono3DRefer",
        "scene_name": "000529",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.57, -2.68, -2.83, 0.16], \"boxes_2d\": [[0.0, 192.78, 257.63, 288.66], [103.74, 190.33, 334.71, 269.95], [325.05, 173.77, 454.53, 227.77], [455.98, 181.54, 519.21, 206.87]], \"boxes_3d\": [[1.49, 1.64, 3.7, -8.43, 1.87, 12.55], [1.52, 1.55, 4.02, -8.16, 1.92, 15.21], [1.9, 1.78, 4.25, -8.15, 1.96, 26.83], [1.52, 1.64, 3.7, -7.7, 2.09, 45.42]], \"ry\": [3.13, 3.12, -3.12, -0.01]}\n```"
            }
        ]
    },
    {
        "id": 234,
        "data_source": "Mono3DRefer",
        "scene_name": "000530",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.64], \"boxes_2d\": [[536.71, 161.8, 580.32, 206.77]], \"boxes_3d\": [[1.91, 1.65, 4.4, -2.21, 1.11, 32.51]], \"ry\": [-1.71]}\n```"
            }
        ]
    },
    {
        "id": 235,
        "data_source": "Mono3DRefer",
        "scene_name": "000531",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.01, -2.13, -0.81, -1.18, -0.98, -1.43, -1.93, -1.59], \"boxes_2d\": [[938.56, 163.43, 1109.63, 242.89], [1047.29, 174.4, 1241.0, 243.93], [0.0, 192.28, 112.47, 260.5], [253.94, 187.21, 409.48, 263.18], [111.11, 165.36, 302.2, 263.49], [502.21, 173.05, 570.88, 221.75], [851.31, 173.45, 1004.61, 248.3], [675.33, 164.04, 716.83, 202.85]], \"boxes_3d\": [[1.64, 1.73, 4.43, 9.59, 1.48, 17.24], [1.38, 1.8, 4.49, 12.24, 1.44, 16.7], [1.53, 1.61, 4.73, -15.0, 2.06, 17.95], [1.48, 1.71, 4.65, -6.32, 1.85, 16.91], [2.04, 1.66, 4.62, -9.46, 1.91, 17.37], [1.42, 1.64, 3.95, -2.32, 1.46, 23.27], [1.51, 1.72, 4.5, 7.18, 1.55, 16.93], [1.7, 1.8, 4.5, 3.98, 1.34, 34.08]], \"ry\": [-1.51, -1.5, -1.5, -1.53, -1.47, -1.53, -1.54, -1.47]}\n```"
            }
        ]
    },
    {
        "id": 236,
        "data_source": "Mono3DRefer",
        "scene_name": "000537",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.88], \"boxes_2d\": [[351.98, 189.16, 399.44, 215.15]], \"boxes_3d\": [[1.56, 1.76, 4.18, -15.32, 2.66, 47.31]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 237,
        "data_source": "Mono3DRefer",
        "scene_name": "000539",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.28, 2.14, 2.07, 2.06, 2.06, 1.99, 1.92], \"boxes_2d\": [[0.0, 192.86, 44.18, 237.7], [58.33, 187.39, 164.91, 225.94], [153.65, 185.68, 222.96, 217.59], [213.83, 183.87, 273.67, 210.15], [254.58, 184.16, 309.72, 207.04], [299.62, 180.19, 339.87, 202.81], [325.83, 180.98, 360.01, 199.79]], \"boxes_3d\": [[1.43, 1.81, 4.16, -20.83, 2.12, 23.3], [1.47, 1.67, 4.31, -21.13, 2.12, 30.77], [1.48, 1.44, 3.59, -21.1, 2.14, 36.2], [1.42, 1.68, 3.38, -21.11, 2.08, 41.67], [1.38, 1.52, 4.0, -21.14, 2.13, 46.63], [1.57, 1.47, 3.35, -21.05, 2.12, 52.38], [1.43, 1.48, 3.33, -21.16, 2.08, 57.21]], \"ry\": [1.55, 1.54, 1.55, 1.59, 1.64, 1.61, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 238,
        "data_source": "Mono3DRefer",
        "scene_name": "000541",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.12, -1.73, -1.39, -1.92, -1.55], \"boxes_2d\": [[0.0, 208.67, 404.83, 374.0], [660.91, 182.66, 746.6, 246.39], [380.4, 190.12, 500.34, 278.66], [746.9, 177.32, 1094.39, 374.0], [629.7, 183.36, 664.27, 212.76]], \"boxes_3d\": [[1.33, 1.71, 4.09, -2.95, 1.69, 5.36], [1.49, 1.56, 4.34, 2.35, 1.77, 19.39], [1.42, 1.53, 4.12, -3.23, 1.8, 14.27], [1.59, 1.59, 3.89, 2.5, 1.66, 6.98], [1.38, 1.64, 3.51, 1.86, 1.92, 36.28]], \"ry\": [-1.61, -1.61, -1.61, -1.59, -1.5]}\n```"
            }
        ]
    },
    {
        "id": 239,
        "data_source": "Mono3DRefer",
        "scene_name": "000543",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.74, -2.87], \"boxes_2d\": [[352.2, 188.74, 457.77, 256.25], [0.0, 192.69, 187.99, 319.87]], \"boxes_3d\": [[1.34, 1.64, 4.57, -4.83, 1.76, 17.43], [1.52, 1.41, 4.22, -8.1, 1.83, 9.46]], \"ry\": [1.48, 2.72]}\n```"
            }
        ]
    },
    {
        "id": 240,
        "data_source": "Mono3DRefer",
        "scene_name": "000545",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.99, -0.8], \"boxes_2d\": [[1010.68, 171.8, 1241.0, 251.18], [684.37, 195.55, 778.19, 231.22]], \"boxes_3d\": [[1.54, 1.68, 4.16, 11.0, 1.55, 15.49], [1.37, 1.56, 4.19, 5.33, 2.42, 31.65]], \"ry\": [-2.68, -0.63]}\n```"
            }
        ]
    },
    {
        "id": 241,
        "data_source": "Mono3DRefer",
        "scene_name": "000546",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.5], \"boxes_2d\": [[1053.94, 193.9, 1218.11, 320.55]], \"boxes_3d\": [[1.4, 1.64, 3.73, 7.63, 1.75, 10.43]], \"ry\": [-0.88]}\n```"
            }
        ]
    },
    {
        "id": 242,
        "data_source": "Mono3DRefer",
        "scene_name": "000547",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.84], \"boxes_2d\": [[389.08, 188.81, 423.13, 207.42]], \"boxes_3d\": [[1.48, 1.79, 4.15, -17.54, 2.89, 62.18]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 243,
        "data_source": "Mono3DRefer",
        "scene_name": "000552",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.82], \"boxes_2d\": [[720.95, 166.2, 862.05, 268.42]], \"boxes_3d\": [[1.64, 1.69, 3.3, 3.16, 1.56, 13.37]], \"ry\": [-1.6]}\n```"
            }
        ]
    },
    {
        "id": 244,
        "data_source": "Mono3DRefer",
        "scene_name": "000555",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.51, 2.08, 2.11], \"boxes_2d\": [[539.85, 174.69, 562.54, 194.92], [98.97, 197.45, 195.16, 240.56], [218.58, 191.58, 273.49, 213.87]], \"boxes_3d\": [[1.66, 1.73, 3.05, -5.0, 1.84, 61.47], [1.44, 1.55, 3.53, -17.58, 2.43, 27.53], [1.52, 1.76, 4.2, -27.22, 2.97, 54.06]], \"ry\": [-1.59, 1.51, 1.65]}\n```"
            }
        ]
    },
    {
        "id": 245,
        "data_source": "Mono3DRefer",
        "scene_name": "000556",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.71, 0.23], \"boxes_2d\": [[522.6, 183.29, 565.12, 209.71], [420.43, 185.83, 504.81, 214.37]], \"boxes_3d\": [[1.37, 1.79, 4.16, -3.67, 1.97, 40.38], [1.56, 1.71, 4.5, -8.52, 2.34, 41.79]], \"ry\": [1.62, 0.03]}\n```"
            }
        ]
    },
    {
        "id": 246,
        "data_source": "Mono3DRefer",
        "scene_name": "000557",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.92, -1.36, -1.58, -1.47, 1.75], \"boxes_2d\": [[0.0, 200.69, 362.1, 373.0], [372.13, 182.28, 505.63, 277.16], [588.01, 170.74, 644.1, 221.89], [518.66, 171.36, 572.24, 217.14], [482.96, 174.18, 524.46, 201.4]], \"boxes_3d\": [[1.47, 1.59, 4.03, -2.56, 1.62, 3.14], [1.41, 1.54, 3.36, -2.72, 1.44, 12.55], [1.52, 1.67, 4.38, 0.44, 1.2, 23.83], [1.56, 1.59, 3.65, -2.02, 1.22, 26.59], [1.42, 1.56, 4.16, -5.38, 1.04, 40.01]], \"ry\": [-1.57, -1.57, -1.56, -1.55, 1.61]}\n```"
            }
        ]
    },
    {
        "id": 247,
        "data_source": "Mono3DRefer",
        "scene_name": "000559",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.66], \"boxes_2d\": [[488.97, 169.38, 533.65, 209.69]], \"boxes_3d\": [[2.11, 2.04, 4.62, -4.97, 1.47, 40.31]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 248,
        "data_source": "Mono3DRefer",
        "scene_name": "000560",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.58], \"boxes_2d\": [[576.31, 176.63, 661.89, 259.06]], \"boxes_3d\": [[1.66, 1.73, 3.05, 0.14, 1.77, 16.24]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 249,
        "data_source": "Mono3DRefer",
        "scene_name": "000561",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.01], \"boxes_2d\": [[764.16, 184.92, 1027.68, 332.53]], \"boxes_3d\": [[1.42, 1.58, 3.48, 3.19, 1.59, 8.91]], \"ry\": [-1.67]}\n```"
            }
        ]
    },
    {
        "id": 250,
        "data_source": "Mono3DRefer",
        "scene_name": "000563",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.57], \"boxes_2d\": [[592.59, 187.57, 612.49, 205.87]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.65, 2.68, 60.4]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 251,
        "data_source": "Mono3DRefer",
        "scene_name": "000570",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.57], \"boxes_2d\": [[597.61, 184.36, 616.69, 201.68]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.27, 2.44, 62.85]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 252,
        "data_source": "Mono3DRefer",
        "scene_name": "000572",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.48, -1.57, -0.82, -1.17, -1.13, -1.3], \"boxes_2d\": [[507.19, 173.28, 542.38, 202.86], [572.73, 173.45, 613.41, 210.54], [0.0, 196.0, 108.23, 312.26], [170.8, 193.97, 398.5, 315.06], [187.86, 184.25, 320.69, 248.8], [343.09, 180.82, 452.57, 247.16]], \"boxes_3d\": [[1.78, 1.81, 4.32, -5.25, 1.05, 45.78], [1.6, 1.76, 3.84, -0.7, 1.08, 33.27], [1.4, 1.66, 4.07, -8.42, 1.58, 8.8], [1.35, 1.57, 3.72, -4.4, 1.51, 10.34], [1.44, 1.58, 3.66, -8.87, 1.44, 18.3], [1.49, 1.64, 3.95, -5.24, 1.39, 18.34]], \"ry\": [-1.59, -1.59, -1.57, -1.57, -1.57, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 253,
        "data_source": "Mono3DRefer",
        "scene_name": "000574",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.26], \"boxes_2d\": [[439.27, 183.67, 517.5, 206.76]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.17, 2.06, 44.85]], \"ry\": [0.08]}\n```"
            }
        ]
    },
    {
        "id": 254,
        "data_source": "Mono3DRefer",
        "scene_name": "000578",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.89, 1.66, 1.79, 1.83, 1.76, 1.61], \"boxes_2d\": [[563.17, 188.0, 699.41, 275.26], [775.08, 182.7, 843.45, 236.48], [685.42, 187.7, 821.78, 280.68], [649.62, 186.08, 748.22, 245.27], [729.31, 184.68, 784.82, 223.82], [786.59, 180.42, 820.3, 208.08]], \"boxes_3d\": [[1.48, 1.51, 4.35, 0.57, 1.83, 15.0], [1.47, 1.68, 3.88, 6.16, 1.79, 22.17], [1.46, 1.74, 3.99, 2.86, 1.78, 13.9], [1.42, 1.68, 4.29, 2.56, 1.82, 20.18], [1.36, 1.4, 3.8, 5.67, 1.84, 27.72], [1.44, 1.65, 2.96, 10.6, 1.87, 39.55]], \"ry\": [1.92, 1.93, 1.98, 1.95, 1.96, 1.87]}\n```"
            }
        ]
    },
    {
        "id": 255,
        "data_source": "Mono3DRefer",
        "scene_name": "000580",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.3], \"boxes_2d\": [[394.0, 183.47, 491.45, 211.96]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.44, 1.92, 36.47]], \"ry\": [0.07]}\n```"
            }
        ]
    },
    {
        "id": 256,
        "data_source": "Mono3DRefer",
        "scene_name": "000581",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.61], \"boxes_2d\": [[551.47, 204.63, 587.49, 240.3]], \"boxes_3d\": [[1.5, 1.62, 4.19, -1.98, 3.15, 35.69]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 257,
        "data_source": "Mono3DRefer",
        "scene_name": "000583",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, 1.89, 1.83], \"boxes_2d\": [[575.79, 175.7, 616.78, 215.19], [324.38, 189.89, 385.19, 221.21], [409.88, 183.96, 445.68, 204.87]], \"boxes_3d\": [[1.66, 1.73, 3.05, -0.64, 1.81, 32.24], [1.47, 1.71, 4.36, -13.28, 2.4, 37.72], [1.52, 1.71, 3.89, -14.01, 2.39, 55.59]], \"ry\": [-1.59, 1.55, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 258,
        "data_source": "Mono3DRefer",
        "scene_name": "000584",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.61], \"boxes_2d\": [[440.25, 184.17, 503.63, 240.87]], \"boxes_3d\": [[1.41, 1.59, 4.47, -3.91, 1.76, 20.75]], \"ry\": [1.43]}\n```"
            }
        ]
    },
    {
        "id": 259,
        "data_source": "Mono3DRefer",
        "scene_name": "000587",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.63, 1.65], \"boxes_2d\": [[523.46, 168.78, 562.19, 206.68], [555.82, 172.97, 576.55, 192.86]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.7, 1.79, 40.17], [1.7, 1.53, 3.82, -3.89, 1.74, 64.28]], \"ry\": [1.54, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 260,
        "data_source": "Mono3DRefer",
        "scene_name": "000593",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.73], \"boxes_2d\": [[568.97, 178.94, 613.85, 208.18]], \"boxes_3d\": [[1.44, 1.68, 4.39, -0.94, 1.77, 37.95]], \"ry\": [1.7]}\n```"
            }
        ]
    },
    {
        "id": 261,
        "data_source": "Mono3DRefer",
        "scene_name": "000594",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, 1.86, 1.79, -0.82], \"boxes_2d\": [[580.21, 175.92, 637.28, 229.88], [367.47, 184.87, 423.69, 212.29], [459.14, 180.97, 487.82, 198.91], [636.22, 171.1, 678.9, 189.77]], \"boxes_3d\": [[1.56, 1.65, 3.69, -0.06, 1.68, 22.91], [1.29, 1.57, 4.38, -11.03, 1.93, 37.29], [1.4, 1.54, 3.67, -11.13, 2.07, 58.93], [1.53, 1.57, 3.54, 4.01, 1.39, 60.75]], \"ry\": [-1.56, 1.58, 1.6, -0.75]}\n```"
            }
        ]
    },
    {
        "id": 262,
        "data_source": "Mono3DRefer",
        "scene_name": "000597",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.0, 2.03, 1.83, 1.73, -1.54, -0.47, 1.74, 1.29, -0.07, -1.29, -1.06, 2.36], \"boxes_2d\": [[955.32, 144.92, 1241.0, 363.72], [97.36, 189.13, 416.38, 374.0], [383.91, 188.06, 507.57, 273.48], [451.86, 182.45, 541.32, 244.31], [690.88, 172.77, 766.05, 241.37], [886.14, 158.67, 1225.88, 263.82], [501.53, 175.36, 552.99, 220.31], [507.1, 175.74, 565.95, 209.36], [382.77, 173.82, 445.23, 195.13], [708.47, 175.19, 786.58, 226.53], [750.52, 168.44, 831.91, 214.71], [898.04, 161.36, 976.35, 187.78]], \"boxes_3d\": [[1.5, 1.71, 4.44, 5.21, 1.32, 7.11], [1.54, 1.63, 3.59, -3.56, 1.76, 7.96], [1.42, 1.46, 3.63, -3.13, 1.75, 14.23], [1.43, 1.66, 4.19, -2.92, 1.7, 19.16], [1.58, 1.71, 3.75, 3.06, 1.6, 18.62], [1.49, 1.57, 4.26, 6.71, 1.32, 11.26], [1.7, 1.5, 3.34, -3.32, 1.82, 29.12], [1.48, 1.71, 3.93, -3.57, 1.64, 34.14], [1.6, 1.75, 4.63, -15.48, 1.7, 56.9], [1.51, 1.58, 3.31, 4.41, 1.6, 23.02], [1.61, 1.6, 3.11, 6.73, 1.47, 26.78], [1.43, 1.7, 3.95, 18.38, 0.81, 40.6]], \"ry\": [1.61, 1.62, 1.62, 1.58, -1.38, 0.06, 1.63, 1.18, -0.34, -1.1, -0.82, 2.78]}\n```"
            }
        ]
    },
    {
        "id": 263,
        "data_source": "Mono3DRefer",
        "scene_name": "000599",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -1.74, -1.99, 0.45, 0.69, -1.71, -1.68], \"boxes_2d\": [[604.37, 175.85, 631.18, 201.35], [696.83, 177.84, 797.9, 251.74], [804.14, 175.4, 1231.47, 374.0], [137.06, 195.66, 296.82, 251.05], [0.0, 197.46, 121.38, 254.25], [686.83, 177.04, 756.49, 234.29], [658.74, 175.94, 699.96, 208.89]], \"boxes_3d\": [[1.54, 1.63, 3.67, 0.47, 1.76, 46.03], [1.49, 1.57, 4.07, 3.0, 1.62, 16.7], [1.57, 1.59, 3.75, 2.96, 1.62, 6.29], [1.52, 1.51, 3.94, -11.72, 2.24, 21.61], [1.58, 1.56, 4.24, -17.36, 2.36, 21.67], [1.54, 1.51, 3.58, 3.19, 1.68, 21.42], [1.49, 1.55, 3.93, 3.28, 1.66, 35.04]], \"ry\": [-1.56, -1.57, -1.57, -0.04, 0.02, -1.57, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 264,
        "data_source": "Mono3DRefer",
        "scene_name": "000603",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.96, -1.68, -1.75, -1.66, -1.65, -1.63], \"boxes_2d\": [[386.94, 180.98, 444.74, 211.53], [736.21, 173.49, 850.12, 269.94], [701.98, 174.7, 793.54, 240.71], [682.42, 176.25, 740.62, 223.78], [667.8, 175.85, 718.99, 215.09], [654.6, 176.88, 685.71, 203.37]], \"boxes_3d\": [[1.49, 1.58, 3.84, -9.95, 1.54, 37.46], [1.54, 1.57, 3.52, 3.31, 1.43, 13.13], [1.5, 1.63, 3.57, 3.5, 1.37, 18.06], [1.47, 1.59, 3.64, 3.52, 1.34, 23.98], [1.49, 1.74, 4.09, 3.57, 1.31, 29.29], [1.44, 1.58, 3.28, 3.72, 1.25, 40.74]], \"ry\": [1.71, -1.44, -1.56, -1.52, -1.53, -1.53]}\n```"
            }
        ]
    },
    {
        "id": 265,
        "data_source": "Mono3DRefer",
        "scene_name": "000606",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.26], \"boxes_2d\": [[444.56, 183.98, 520.66, 206.46]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.12, 2.1, 46.04]], \"ry\": [0.08]}\n```"
            }
        ]
    },
    {
        "id": 266,
        "data_source": "Mono3DRefer",
        "scene_name": "000607",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.71], \"boxes_2d\": [[581.72, 178.01, 621.54, 204.59]], \"boxes_3d\": [[1.44, 1.68, 4.39, -0.45, 1.75, 41.55]], \"ry\": [1.7]}\n```"
            }
        ]
    },
    {
        "id": 267,
        "data_source": "Mono3DRefer",
        "scene_name": "000609",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.97, 1.87], \"boxes_2d\": [[259.26, 191.38, 333.31, 227.58], [354.19, 182.17, 400.02, 210.15]], \"boxes_3d\": [[1.56, 1.76, 4.18, -15.07, 2.5, 34.82], [1.95, 1.83, 4.89, -17.2, 2.65, 53.46]], \"ry\": [1.57, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 268,
        "data_source": "Mono3DRefer",
        "scene_name": "000610",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.79], \"boxes_2d\": [[399.15, 179.21, 460.91, 218.14]], \"boxes_3d\": [[1.56, 1.73, 4.21, -7.79, 1.86, 31.46]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 269,
        "data_source": "Mono3DRefer",
        "scene_name": "000611",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.58, 1.94], \"boxes_2d\": [[599.75, 177.03, 628.94, 205.13], [309.27, 187.45, 371.76, 220.72]], \"boxes_3d\": [[1.66, 1.73, 3.05, 0.23, 1.94, 44.68], [1.44, 1.63, 3.43, -12.7, 2.16, 34.1]], \"ry\": [-1.57, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 270,
        "data_source": "Mono3DRefer",
        "scene_name": "000616",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.83, 1.68, 1.89], \"boxes_2d\": [[329.11, 176.02, 480.45, 292.44], [479.04, 181.77, 539.19, 232.94], [535.86, 174.16, 586.25, 205.62]], \"boxes_3d\": [[1.7, 1.53, 3.82, -3.42, 1.78, 12.56], [1.5, 1.53, 3.38, -3.21, 1.8, 23.2], [1.56, 1.56, 3.6, -2.54, 1.65, 37.75]], \"ry\": [1.57, 1.55, 1.83]}\n```"
            }
        ]
    },
    {
        "id": 271,
        "data_source": "Mono3DRefer",
        "scene_name": "000621",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.92, 1.71, 1.89], \"boxes_2d\": [[195.63, 187.23, 436.96, 361.63], [449.9, 191.29, 524.15, 253.96], [523.19, 185.76, 578.93, 221.55]], \"boxes_3d\": [[1.7, 1.53, 3.82, -3.47, 1.91, 9.18], [1.5, 1.53, 3.38, -3.32, 2.04, 19.78], [1.56, 1.56, 3.6, -2.76, 2.19, 34.09]], \"ry\": [1.56, 1.54, 1.81]}\n```"
            }
        ]
    },
    {
        "id": 272,
        "data_source": "Mono3DRefer",
        "scene_name": "000622",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.65], \"boxes_2d\": [[655.03, 180.12, 688.7, 206.76]], \"boxes_3d\": [[1.69, 1.88, 4.5, 4.19, 2.19, 48.51]], \"ry\": [1.74]}\n```"
            }
        ]
    },
    {
        "id": 273,
        "data_source": "Mono3DRefer",
        "scene_name": "000623",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.31, -1.7, 1.7, 1.81, 1.79, 1.93], \"boxes_2d\": [[0.0, 216.46, 151.24, 374.0], [666.07, 181.12, 749.19, 241.39], [503.81, 182.17, 540.99, 207.2], [406.0, 187.3, 485.52, 239.32], [442.93, 184.32, 507.01, 225.6], [264.0, 202.62, 416.25, 282.37]], \"boxes_3d\": [[1.4, 1.59, 3.89, -5.29, 1.81, 5.12], [1.41, 1.64, 3.77, 2.43, 1.64, 19.06], [1.43, 1.76, 3.97, -5.33, 2.02, 44.11], [1.49, 1.61, 3.94, -5.25, 1.98, 23.34], [1.48, 1.66, 3.9, -5.29, 1.95, 28.5], [1.31, 1.58, 4.23, -5.54, 2.01, 15.26]], \"ry\": [1.54, -1.58, 1.58, 1.59, 1.61, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 274,
        "data_source": "Mono3DRefer",
        "scene_name": "000624",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.64, 1.87], \"boxes_2d\": [[652.33, 172.82, 725.8, 242.85], [422.71, 183.1, 525.17, 247.51]], \"boxes_3d\": [[1.57, 1.56, 2.62, 1.83, 1.59, 17.66], [1.49, 1.53, 3.88, -3.48, 1.78, 18.94]], \"ry\": [-1.54, 1.69]}\n```"
            }
        ]
    },
    {
        "id": 275,
        "data_source": "Mono3DRefer",
        "scene_name": "000626",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.44, -1.84, -1.48, -1.47], \"boxes_2d\": [[1031.41, 180.01, 1241.0, 374.0], [752.11, 171.69, 911.06, 266.25], [558.65, 180.69, 613.39, 218.59], [589.02, 177.91, 627.14, 207.54]], \"boxes_3d\": [[1.46, 1.41, 3.63, 3.15, 1.48, 2.41], [1.42, 1.55, 4.36, 3.75, 1.43, 13.13], [1.33, 1.71, 4.09, -0.88, 1.65, 27.8], [1.42, 1.53, 4.12, -0.08, 1.7, 37.06]], \"ry\": [-1.58, -1.57, -1.51, -1.47]}\n```"
            }
        ]
    },
    {
        "id": 276,
        "data_source": "Mono3DRefer",
        "scene_name": "000627",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.65, 1.94, 1.43], \"boxes_2d\": [[409.2, 183.32, 484.47, 243.32], [11.5, 172.55, 405.84, 374.0], [356.48, 185.52, 390.23, 210.49]], \"boxes_3d\": [[1.47, 1.7, 4.39, -4.51, 1.78, 20.28], [1.68, 1.63, 3.9, -3.18, 1.71, 6.59], [1.65, 1.75, 3.39, -16.55, 2.54, 50.31]], \"ry\": [1.43, 1.51, 1.11]}\n```"
            }
        ]
    },
    {
        "id": 277,
        "data_source": "Mono3DRefer",
        "scene_name": "000629",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.66, -1.71], \"boxes_2d\": [[357.52, 191.36, 449.22, 267.39], [528.63, 183.09, 553.69, 203.09]], \"boxes_3d\": [[1.41, 1.59, 4.47, -4.63, 1.88, 16.51], [1.64, 1.69, 3.3, -5.94, 2.53, 61.84]], \"ry\": [1.39, -1.8]}\n```"
            }
        ]
    },
    {
        "id": 278,
        "data_source": "Mono3DRefer",
        "scene_name": "000631",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.7, -1.87, -1.83, -2.0], \"boxes_2d\": [[653.29, 177.38, 691.06, 207.5], [739.84, 187.9, 904.88, 294.55], [741.51, 176.79, 793.12, 210.28], [825.75, 179.05, 946.91, 237.9]], \"boxes_3d\": [[1.42, 1.45, 3.2, 3.02, 1.66, 35.92], [1.38, 1.49, 3.32, 3.11, 1.64, 11.34], [1.43, 1.48, 3.25, 7.07, 1.63, 32.84], [1.44, 1.56, 3.96, 7.42, 1.62, 19.88]], \"ry\": [-1.62, -1.61, -1.62, -1.65]}\n```"
            }
        ]
    },
    {
        "id": 279,
        "data_source": "Mono3DRefer",
        "scene_name": "000634",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.44, 1.8, 1.64], \"boxes_2d\": [[0.0, 202.51, 230.67, 374.0], [407.17, 187.36, 512.93, 250.91], [527.8, 174.51, 556.55, 198.35]], \"boxes_3d\": [[1.56, 1.68, 3.91, -3.37, 1.74, 2.7], [1.43, 1.75, 4.47, -3.86, 1.85, 19.14], [1.39, 1.48, 3.76, -4.16, 1.51, 44.36]], \"ry\": [1.59, 1.6, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 280,
        "data_source": "Mono3DRefer",
        "scene_name": "000636",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.58], \"boxes_2d\": [[584.81, 172.59, 604.8, 188.42]], \"boxes_3d\": [[1.26, 1.6, 3.56, -1.29, 1.26, 59.84]], \"ry\": [-1.6]}\n```"
            }
        ]
    },
    {
        "id": 281,
        "data_source": "Mono3DRefer",
        "scene_name": "000637",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.2, -2.27, -1.98, -1.76, -1.71, -1.67, -1.66, 1.67], \"boxes_2d\": [[124.4, 180.65, 273.81, 242.02], [1032.52, 184.78, 1223.0, 369.0], [802.42, 176.8, 1122.02, 360.3], [729.52, 177.63, 854.26, 267.35], [694.51, 177.52, 783.16, 240.71], [681.79, 175.68, 741.72, 220.92], [663.44, 174.69, 707.8, 210.87], [560.24, 171.85, 583.08, 188.69]], \"boxes_3d\": [[1.49, 1.58, 3.84, -11.05, 1.52, 19.54], [1.54, 1.57, 3.52, 3.27, 1.58, 2.69], [1.5, 1.63, 3.57, 3.42, 1.47, 7.64], [1.47, 1.59, 3.64, 3.4, 1.43, 13.59], [1.49, 1.74, 4.09, 3.44, 1.43, 19.02], [1.48, 1.71, 4.05, 3.75, 1.32, 25.5], [1.44, 1.58, 3.28, 3.38, 1.21, 30.23], [1.4, 1.54, 4.5, -2.86, 0.67, 61.98]], \"ry\": [1.69, -1.45, -1.57, -1.52, -1.53, -1.52, -1.54, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 282,
        "data_source": "Mono3DRefer",
        "scene_name": "000639",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.25, -1.83, -1.42, -1.81, -1.73, -2.11], \"boxes_2d\": [[734.4, 178.36, 958.26, 323.65], [645.97, 179.68, 743.06, 243.31], [363.21, 188.67, 442.6, 241.35], [603.7, 169.86, 674.06, 222.18], [558.28, 181.17, 601.97, 211.75], [836.46, 120.27, 1241.0, 374.0]], \"boxes_3d\": [[1.53, 1.57, 3.87, 2.82, 1.62, 9.66], [1.45, 1.61, 3.34, 2.01, 1.64, 18.4], [1.34, 1.69, 3.6, -5.98, 1.83, 21.06], [1.69, 1.59, 3.77, 0.9, 1.62, 25.44], [1.49, 1.71, 3.58, -1.63, 1.93, 37.49], [1.78, 1.59, 4.33, 2.83, 1.62, 4.41]], \"ry\": [1.53, -1.73, -1.7, -1.78, -1.77, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 283,
        "data_source": "Mono3DRefer",
        "scene_name": "000640",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.29, -1.41, -1.57, -1.5], \"boxes_2d\": [[265.37, 182.73, 500.15, 339.26], [467.44, 175.52, 547.77, 234.95], [594.9, 166.94, 642.7, 210.54], [552.99, 164.31, 591.7, 199.03]], \"boxes_3d\": [[1.47, 1.59, 4.03, -2.42, 1.5, 8.9], [1.41, 1.54, 3.36, -2.39, 1.27, 18.85], [1.52, 1.67, 4.38, 0.64, 1.01, 27.58], [1.56, 1.59, 3.65, -1.35, 0.78, 34.5]], \"ry\": [-1.55, -1.54, -1.56, -1.54]}\n```"
            }
        ]
    },
    {
        "id": 284,
        "data_source": "Mono3DRefer",
        "scene_name": "000648",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.69], \"boxes_2d\": [[494.96, 183.76, 553.21, 224.84]], \"boxes_3d\": [[1.46, 1.75, 4.23, -3.34, 1.91, 28.46]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 285,
        "data_source": "Mono3DRefer",
        "scene_name": "000649",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.24, 2.03, 2.03, 1.9, 1.82, 1.8], \"boxes_2d\": [[0.0, 196.31, 179.37, 312.09], [187.18, 176.46, 326.58, 256.56], [295.85, 187.72, 388.79, 237.39], [350.62, 178.47, 431.74, 227.48], [433.63, 182.48, 484.57, 213.81], [461.89, 181.56, 504.01, 208.04]], \"boxes_3d\": [[1.47, 1.63, 4.11, -9.02, 1.9, 11.56], [1.8, 1.61, 3.83, -8.81, 1.91, 18.29], [1.45, 1.45, 3.4, -8.61, 1.95, 23.36], [1.75, 1.71, 4.31, -8.47, 1.99, 28.19], [1.53, 1.66, 4.01, -7.87, 2.05, 37.81], [1.48, 1.6, 3.9, -7.54, 2.01, 42.99]], \"ry\": [1.59, 1.59, 1.68, 1.61, 1.62, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 286,
        "data_source": "Mono3DRefer",
        "scene_name": "000651",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -2.12, -2.24, -2.12, -2.29, -1.55], \"boxes_2d\": [[583.23, 179.47, 637.6, 223.67], [114.19, 182.87, 393.81, 308.47], [365.5, 165.62, 509.69, 234.33], [411.46, 163.87, 515.26, 224.57], [467.58, 167.52, 547.57, 207.64], [586.25, 174.16, 620.6, 205.5]], \"boxes_3d\": [[1.36, 1.69, 3.38, -0.03, 1.6, 24.26], [1.42, 1.61, 4.03, -5.07, 1.58, 10.01], [1.76, 1.74, 4.16, -4.97, 1.6, 20.4], [1.83, 1.64, 3.71, -4.92, 1.59, 23.72], [1.8, 1.63, 3.79, -4.91, 1.59, 34.14], [1.52, 1.67, 3.61, -0.34, 1.61, 37.1]], \"ry\": [-1.57, -2.58, -2.48, -2.32, -2.43, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 287,
        "data_source": "Mono3DRefer",
        "scene_name": "000656",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.49, -1.54], \"boxes_2d\": [[564.42, 166.78, 593.54, 190.19], [615.84, 163.79, 639.01, 184.33]], \"boxes_3d\": [[1.47, 1.59, 4.03, -1.43, 0.54, 47.61], [1.52, 1.67, 4.38, 2.09, 0.2, 56.11]], \"ry\": [-1.52, -1.51]}\n```"
            }
        ]
    },
    {
        "id": 288,
        "data_source": "Mono3DRefer",
        "scene_name": "000657",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[586.67, 173.35, 607.94, 189.95]], \"boxes_3d\": [[1.26, 1.6, 3.56, -1.0, 1.32, 57.16]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 289,
        "data_source": "Mono3DRefer",
        "scene_name": "000659",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.1], \"boxes_2d\": [[171.91, 186.92, 262.23, 225.78]], \"boxes_3d\": [[1.45, 1.74, 3.42, -16.03, 2.05, 29.55]], \"ry\": [1.61]}\n```"
            }
        ]
    },
    {
        "id": 290,
        "data_source": "Mono3DRefer",
        "scene_name": "000661",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.81, -2.02], \"boxes_2d\": [[726.07, 183.15, 826.41, 254.12], [895.18, 181.05, 1037.74, 254.94]], \"boxes_3d\": [[1.42, 1.45, 3.2, 3.6, 1.66, 16.29], [1.43, 1.48, 3.25, 7.6, 1.62, 15.79]], \"ry\": [-1.59, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 291,
        "data_source": "Mono3DRefer",
        "scene_name": "000662",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.53, 2.17], \"boxes_2d\": [[379.9, 194.61, 418.84, 230.55], [0.0, 210.7, 353.24, 374.0]], \"boxes_3d\": [[1.65, 1.75, 3.39, -10.75, 2.79, 36.58], [1.47, 1.7, 4.39, -2.79, 1.75, 3.38]], \"ry\": [1.25, 1.52]}\n```"
            }
        ]
    },
    {
        "id": 292,
        "data_source": "Mono3DRefer",
        "scene_name": "000664",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.27, -1.55, -1.46, 1.83, -1.57], \"boxes_2d\": [[270.69, 185.23, 454.8, 303.7], [533.28, 172.04, 593.61, 227.07], [516.03, 169.82, 563.22, 209.42], [408.43, 176.71, 462.6, 210.83], [589.1, 170.17, 620.7, 201.87]], \"boxes_3d\": [[1.41, 1.54, 3.36, -3.3, 1.48, 10.47], [1.52, 1.67, 4.38, -1.15, 1.26, 22.33], [1.56, 1.59, 3.65, -2.57, 1.1, 30.46], [1.39, 1.46, 3.37, -7.17, 1.2, 31.27], [1.48, 1.47, 2.23, 0.17, 0.95, 34.94]], \"ry\": [-1.57, -1.6, -1.55, 1.6, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 293,
        "data_source": "Mono3DRefer",
        "scene_name": "000668",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [3.03, -0.05, -1.58, 1.97, 1.86], \"boxes_2d\": [[452.37, 162.7, 723.79, 270.96], [0.0, 163.89, 29.07, 205.36], [1204.53, 175.64, 1241.0, 292.02], [837.18, 176.05, 957.38, 233.84], [983.05, 165.46, 1061.76, 207.13]], \"boxes_3d\": [[1.79, 1.69, 4.72, -0.48, 1.64, 13.35], [1.48, 1.74, 3.92, -23.24, 1.17, 25.56], [1.57, 1.65, 3.35, 9.94, 1.61, 10.71], [1.43, 1.7, 3.95, 8.0, 1.54, 20.02], [1.54, 1.68, 3.79, 16.38, 1.28, 28.64]], \"ry\": [2.99, -0.78, -0.85, 2.34, 2.38]}\n```"
            }
        ]
    },
    {
        "id": 294,
        "data_source": "Mono3DRefer",
        "scene_name": "000672",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.08, 1.65], \"boxes_2d\": [[0.0, 190.35, 398.47, 374.0], [524.95, 182.98, 567.7, 215.64]], \"boxes_3d\": [[1.6, 1.68, 3.94, -3.02, 1.76, 5.21], [1.42, 1.66, 4.11, -2.99, 1.92, 34.15]], \"ry\": [1.58, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 295,
        "data_source": "Mono3DRefer",
        "scene_name": "000673",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.92, -1.6], \"boxes_2d\": [[243.02, 181.5, 439.76, 304.0], [660.55, 169.66, 694.81, 202.08]], \"boxes_3d\": [[1.59, 1.63, 3.83, -4.04, 1.74, 11.41], [1.62, 1.7, 3.29, 3.51, 1.49, 38.17]], \"ry\": [1.59, -1.5]}\n```"
            }
        ]
    },
    {
        "id": 296,
        "data_source": "Mono3DRefer",
        "scene_name": "000674",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.87, 1.82, -1.74, 1.93, -1.89], \"boxes_2d\": [[705.11, 176.13, 825.04, 258.62], [373.04, 187.73, 453.86, 244.25], [693.38, 178.53, 765.98, 232.01], [276.19, 188.51, 412.89, 270.87], [746.78, 177.72, 961.13, 314.74]], \"boxes_3d\": [[1.53, 1.5, 3.34, 3.11, 1.62, 15.25], [1.46, 1.43, 3.52, -5.67, 1.92, 21.01], [1.39, 1.45, 3.44, 3.31, 1.57, 20.72], [1.56, 1.63, 3.62, -5.76, 1.94, 15.98], [1.51, 1.6, 3.54, 3.02, 1.59, 9.83]], \"ry\": [-1.67, 1.56, -1.59, 1.59, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 297,
        "data_source": "Mono3DRefer",
        "scene_name": "000678",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.47, 1.73], \"boxes_2d\": [[349.31, 189.3, 385.09, 217.88], [329.85, 190.87, 467.65, 291.03]], \"boxes_3d\": [[1.65, 1.75, 3.39, -15.11, 2.69, 44.73], [1.47, 1.7, 4.39, -3.75, 1.84, 13.4]], \"ry\": [1.14, 1.46]}\n```"
            }
        ]
    },
    {
        "id": 298,
        "data_source": "Mono3DRefer",
        "scene_name": "000681",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.28], \"boxes_2d\": [[421.83, 183.09, 507.27, 208.2]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.31, 1.97, 41.27]], \"ry\": [0.08]}\n```"
            }
        ]
    },
    {
        "id": 299,
        "data_source": "Mono3DRefer",
        "scene_name": "000682",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.64], \"boxes_2d\": [[646.17, 188.33, 674.33, 211.09]], \"boxes_3d\": [[1.41, 1.58, 4.36, 3.34, 2.49, 48.88]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 300,
        "data_source": "Mono3DRefer",
        "scene_name": "000688",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.17, 2.12, 2.03, 1.99, 1.97, 1.95], \"boxes_2d\": [[52.92, 184.24, 162.46, 228.17], [143.47, 185.15, 235.33, 218.62], [234.06, 183.82, 299.94, 211.52], [289.52, 181.61, 335.67, 205.61], [324.08, 182.9, 366.25, 203.63], [379.56, 179.21, 410.83, 197.87]], \"boxes_3d\": [[1.58, 1.64, 3.88, -19.73, 2.05, 28.5], [1.43, 1.81, 4.16, -19.65, 2.03, 33.88], [1.47, 1.67, 4.31, -19.61, 2.12, 41.4], [1.48, 1.44, 3.59, -19.32, 2.06, 46.94], [1.42, 1.68, 3.38, -19.15, 2.17, 52.23], [1.57, 1.47, 3.35, -18.75, 2.14, 63.05]], \"ry\": [1.56, 1.6, 1.59, 1.6, 1.62, 1.66]}\n```"
            }
        ]
    },
    {
        "id": 301,
        "data_source": "Mono3DRefer",
        "scene_name": "000689",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.29], \"boxes_2d\": [[401.63, 183.37, 495.78, 210.93]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.41, 1.94, 37.67]], \"ry\": [0.07]}\n```"
            }
        ]
    },
    {
        "id": 302,
        "data_source": "Mono3DRefer",
        "scene_name": "000697",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.24, 2.19, 2.07, 2.01], \"boxes_2d\": [[16.1, 190.5, 122.12, 230.21], [120.71, 190.41, 193.29, 219.97], [168.72, 186.17, 232.04, 212.7], [223.1, 184.95, 272.06, 210.16]], \"boxes_3d\": [[1.62, 1.6, 4.18, -24.52, 2.46, 32.85], [1.48, 1.35, 3.93, -24.92, 2.48, 39.78], [1.5, 1.62, 4.08, -25.02, 2.34, 44.18], [1.65, 1.57, 3.82, -25.19, 2.51, 50.24]], \"ry\": [1.6, 1.63, 1.55, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 303,
        "data_source": "Mono3DRefer",
        "scene_name": "000699",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.17], \"boxes_2d\": [[750.43, 184.37, 940.84, 276.22]], \"boxes_3d\": [[1.42, 1.58, 3.48, 4.09, 1.64, 13.24]], \"ry\": [-1.87]}\n```"
            }
        ]
    },
    {
        "id": 304,
        "data_source": "Mono3DRefer",
        "scene_name": "000700",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.91], \"boxes_2d\": [[292.06, 183.14, 399.96, 243.71]], \"boxes_3d\": [[1.48, 1.64, 3.59, -7.16, 1.78, 19.81]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 305,
        "data_source": "Mono3DRefer",
        "scene_name": "000704",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-0.8, -1.62, -1.88], \"boxes_2d\": [[0.0, 207.75, 285.16, 374.0], [658.61, 173.96, 712.98, 218.01], [750.01, 163.51, 1068.4, 365.01]], \"boxes_3d\": [[1.42, 1.53, 4.12, -2.99, 1.65, 2.78], [1.38, 1.64, 3.51, 2.47, 1.44, 24.53], [1.49, 1.56, 4.34, 2.61, 1.45, 7.55]], \"ry\": [-1.58, -1.52, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 306,
        "data_source": "Mono3DRefer",
        "scene_name": "000706",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.73, -1.72, 1.6], \"boxes_2d\": [[692.95, 185.42, 785.1, 256.39], [672.95, 181.89, 745.46, 236.91], [525.23, 181.22, 558.8, 214.58]], \"boxes_3d\": [[1.51, 1.56, 3.81, 3.0, 1.84, 17.67], [1.57, 1.68, 3.83, 3.02, 1.87, 22.9], [1.52, 1.5, 3.85, -3.3, 1.93, 35.15]], \"ry\": [-1.57, -1.59, 1.51]}\n```"
            }
        ]
    },
    {
        "id": 307,
        "data_source": "Mono3DRefer",
        "scene_name": "000707",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.82, 1.69], \"boxes_2d\": [[360.9, 189.01, 501.88, 280.68], [523.92, 182.29, 564.4, 211.63]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.46, 1.88, 14.64], [1.44, 1.7, 3.65, -3.44, 1.95, 37.98]], \"ry\": [1.59, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 308,
        "data_source": "Mono3DRefer",
        "scene_name": "000708",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.76, -1.71, 2.24, 2.0, -2.1, 1.76, -1.87, -1.78, -1.75], \"boxes_2d\": [[479.01, 178.29, 532.96, 215.21], [694.1, 177.09, 750.76, 219.62], [0.0, 206.01, 223.92, 374.0], [133.31, 193.71, 387.66, 317.21], [852.51, 189.92, 1241.0, 374.0], [451.97, 179.29, 512.11, 221.68], [762.14, 182.12, 958.3, 306.43], [726.86, 178.02, 834.57, 253.91], [700.3, 178.28, 779.97, 232.88]], \"boxes_3d\": [[1.49, 1.63, 3.68, -4.48, 1.74, 31.34], [1.49, 1.61, 3.55, 4.16, 1.67, 27.37], [1.43, 1.68, 3.76, -4.82, 1.76, 5.52], [1.38, 1.68, 4.34, -4.91, 1.75, 10.81], [1.5, 1.64, 4.14, 3.44, 1.67, 5.74], [1.45, 1.6, 3.2, -4.69, 1.7, 26.61], [1.51, 1.66, 3.5, 3.41, 1.66, 10.65], [1.51, 1.61, 3.51, 3.67, 1.64, 16.25], [1.49, 1.68, 3.8, 3.8, 1.67, 21.84]], \"ry\": [1.62, -1.56, 1.54, 1.58, -1.59, 1.58, -1.57, -1.56, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 309,
        "data_source": "Mono3DRefer",
        "scene_name": "000710",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.64, -1.71], \"boxes_2d\": [[380.63, 188.4, 463.01, 258.09], [532.31, 181.4, 557.03, 200.98]], \"boxes_3d\": [[1.41, 1.59, 4.47, -4.5, 1.82, 17.6], [1.64, 1.69, 3.3, -5.73, 2.4, 62.92]], \"ry\": [1.39, -1.8]}\n```"
            }
        ]
    },
    {
        "id": 310,
        "data_source": "Mono3DRefer",
        "scene_name": "000714",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.14, -0.95, -1.46, -1.64, -0.76, -0.68], \"boxes_2d\": [[493.65, 190.36, 662.41, 278.85], [364.44, 168.81, 545.33, 272.45], [758.42, 171.96, 835.76, 230.05], [968.02, 163.65, 1031.83, 211.79], [182.85, 193.28, 374.91, 264.92], [99.8, 201.34, 248.33, 258.41]], \"boxes_3d\": [[1.48, 1.71, 4.65, -0.5, 1.89, 15.15], [2.04, 1.66, 4.62, -3.4, 1.98, 16.64], [1.42, 1.64, 3.95, 5.18, 1.42, 19.8], [1.7, 1.8, 4.5, 14.9, 1.4, 27.82], [1.53, 1.61, 4.73, -8.47, 2.12, 18.9], [1.4, 1.56, 3.48, -12.56, 2.28, 20.95]], \"ry\": [-1.17, -1.15, -1.21, -1.15, -1.18, -1.22]}\n```"
            }
        ]
    },
    {
        "id": 311,
        "data_source": "Mono3DRefer",
        "scene_name": "000715",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.7], \"boxes_2d\": [[758.36, 173.03, 779.23, 190.1]], \"boxes_3d\": [[1.48, 1.36, 3.51, 14.23, 1.52, 64.84]], \"ry\": [-1.49]}\n```"
            }
        ]
    },
    {
        "id": 312,
        "data_source": "Mono3DRefer",
        "scene_name": "000717",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.68, 1.88], \"boxes_2d\": [[672.8, 173.85, 763.09, 256.1], [395.48, 187.82, 522.15, 269.2]], \"boxes_3d\": [[1.57, 1.56, 2.62, 2.15, 1.61, 15.23], [1.49, 1.53, 3.88, -3.16, 1.85, 15.63]], \"ry\": [-1.54, 1.69]}\n```"
            }
        ]
    },
    {
        "id": 313,
        "data_source": "Mono3DRefer",
        "scene_name": "000728",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.74, 1.82], \"boxes_2d\": [[467.5, 184.4, 515.93, 218.42], [290.0, 186.4, 436.7, 286.75]], \"boxes_3d\": [[1.39, 1.52, 3.56, -5.23, 1.92, 32.08], [1.46, 1.59, 3.35, -4.16, 1.72, 12.54]], \"ry\": [1.58, 1.5]}\n```"
            }
        ]
    },
    {
        "id": 314,
        "data_source": "Mono3DRefer",
        "scene_name": "000732",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.31, -1.55, -1.57, -2.23, -2.27, -2.16], \"boxes_2d\": [[482.87, 167.48, 555.74, 203.65], [588.88, 174.51, 622.95, 205.59], [585.72, 178.4, 639.73, 222.31], [238.82, 183.21, 452.36, 271.77], [401.36, 166.57, 525.71, 224.43], [435.77, 163.18, 528.61, 215.65]], \"boxes_3d\": [[1.8, 1.63, 3.79, -4.79, 1.56, 37.66], [1.52, 1.67, 3.61, -0.21, 1.63, 37.39], [1.36, 1.69, 3.38, 0.05, 1.57, 24.41], [1.42, 1.61, 4.03, -5.04, 1.64, 13.47], [1.76, 1.74, 4.16, -4.93, 1.6, 23.86], [1.83, 1.64, 3.71, -4.89, 1.52, 27.13]], \"ry\": [-2.43, -1.56, -1.57, -2.58, -2.47, -2.33]}\n```"
            }
        ]
    },
    {
        "id": 315,
        "data_source": "Mono3DRefer",
        "scene_name": "000734",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.78, -1.11, -2.67, -1.52, -1.74, -1.45, -1.58], \"boxes_2d\": [[665.44, 175.98, 791.75, 261.89], [0.0, 187.93, 365.1, 374.0], [160.12, 189.92, 332.37, 252.83], [500.49, 173.3, 551.36, 217.64], [632.9, 176.49, 695.02, 222.6], [528.07, 179.56, 562.03, 206.09], [619.47, 170.48, 649.95, 202.16]], \"boxes_3d\": [[1.49, 1.64, 4.17, 2.21, 1.57, 14.76], [1.44, 1.65, 4.25, -3.45, 1.6, 5.77], [1.47, 1.58, 3.55, -9.15, 1.93, 18.23], [1.6, 1.75, 3.89, -3.26, 1.64, 28.27], [1.59, 1.64, 4.03, 1.92, 1.75, 27.22], [1.46, 1.56, 3.21, -3.75, 1.86, 41.81], [1.83, 1.75, 4.52, 1.47, 1.72, 44.22]], \"ry\": [-1.63, -1.63, -3.13, -1.63, -1.67, -1.54, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 316,
        "data_source": "Mono3DRefer",
        "scene_name": "000737",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.65, -2.67, 0.36, 0.17, -1.68, -0.14], \"boxes_2d\": [[0.0, 165.23, 270.29, 326.76], [0.0, 174.09, 349.34, 289.01], [233.78, 169.37, 448.59, 243.31], [378.27, 172.24, 511.34, 217.17], [661.27, 176.83, 724.48, 223.2], [724.12, 175.19, 810.64, 211.99]], \"boxes_3d\": [[1.68, 1.71, 4.07, -6.47, 1.63, 8.46], [1.53, 1.7, 4.32, -6.41, 1.57, 10.79], [1.54, 1.78, 4.2, -6.01, 1.5, 16.36], [1.5, 1.66, 4.4, -5.84, 1.51, 25.73], [1.41, 1.62, 4.19, 2.67, 1.56, 24.33], [1.42, 1.59, 3.21, 6.3, 1.54, 29.26]], \"ry\": [0.01, 3.09, 0.01, -0.05, -1.57, 0.07]}\n```"
            }
        ]
    },
    {
        "id": 317,
        "data_source": "Mono3DRefer",
        "scene_name": "000738",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.73], \"boxes_2d\": [[644.47, 180.1, 690.95, 216.69]], \"boxes_3d\": [[1.64, 1.69, 3.3, 2.67, 2.0, 34.42]], \"ry\": [-1.65]}\n```"
            }
        ]
    },
    {
        "id": 318,
        "data_source": "Mono3DRefer",
        "scene_name": "000740",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.15, 1.07], \"boxes_2d\": [[407.36, 179.05, 651.26, 309.32], [784.73, 194.05, 1241.0, 374.0]], \"boxes_3d\": [[1.57, 1.65, 4.1, -1.04, 1.68, 10.99], [1.42, 1.6, 3.78, 2.38, 1.59, 4.51]], \"ry\": [2.06, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 319,
        "data_source": "Mono3DRefer",
        "scene_name": "000747",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.54, 1.91, 1.86, -1.59, 2.78], \"boxes_2d\": [[610.92, 178.94, 635.52, 201.71], [458.82, 184.03, 510.0, 214.59], [485.02, 177.04, 529.24, 210.33], [656.55, 176.02, 683.32, 201.11], [932.2, 164.14, 1013.15, 191.68]], \"boxes_3d\": [[1.54, 1.63, 3.67, 0.95, 1.99, 51.29], [1.56, 1.59, 3.69, -6.83, 2.19, 39.43], [1.93, 1.59, 4.01, -6.26, 2.21, 44.15], [1.58, 1.67, 3.84, 3.92, 1.81, 47.89], [1.39, 1.51, 3.49, 19.07, 0.97, 38.1]], \"ry\": [-1.52, 1.74, 1.72, -1.51, -3.04]}\n```"
            }
        ]
    },
    {
        "id": 320,
        "data_source": "Mono3DRefer",
        "scene_name": "000749",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.67, -1.76, -2.1, -1.79, -1.89], \"boxes_2d\": [[638.19, 176.1, 666.15, 199.22], [689.1, 183.03, 775.3, 244.77], [852.71, 187.06, 1241.0, 374.0], [705.49, 175.27, 743.11, 201.08], [759.34, 176.75, 831.47, 216.36]], \"boxes_3d\": [[1.42, 1.45, 3.2, 2.65, 1.64, 46.29], [1.38, 1.49, 3.32, 2.93, 1.65, 18.09], [1.5, 1.62, 3.89, 3.59, 1.65, 6.27], [1.43, 1.48, 3.25, 6.61, 1.59, 42.11], [1.44, 1.56, 3.96, 7.21, 1.61, 28.54]], \"ry\": [-1.62, -1.6, -1.6, -1.63, -1.65]}\n```"
            }
        ]
    },
    {
        "id": 321,
        "data_source": "Mono3DRefer",
        "scene_name": "000753",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.91, 2.97, 1.66], \"boxes_2d\": [[12.54, 191.25, 357.9, 374.0], [607.58, 168.14, 701.4, 202.5], [452.54, 178.73, 485.89, 204.42]], \"boxes_3d\": [[1.6, 1.73, 3.62, -3.85, 1.82, 7.23], [1.73, 1.74, 4.71, 2.29, 1.51, 38.22], [1.58, 1.76, 4.18, -9.13, 1.98, 46.95]], \"ry\": [1.43, 3.03, 1.46]}\n```"
            }
        ]
    },
    {
        "id": 322,
        "data_source": "Mono3DRefer",
        "scene_name": "000760",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.56, -0.65, -0.52, -2.79, -3.04, -0.32, -0.38], \"boxes_2d\": [[38.77, 198.38, 422.17, 316.55], [917.51, 170.71, 1241.0, 374.0], [812.4, 151.43, 1241.0, 319.58], [337.68, 182.96, 507.37, 238.86], [404.02, 181.77, 534.37, 223.64], [781.37, 169.96, 956.87, 246.87], [790.61, 168.85, 1049.58, 258.33]], \"boxes_3d\": [[1.38, 1.66, 4.38, -5.01, 1.77, 9.73], [1.48, 1.86, 4.18, 4.68, 1.46, 5.23], [1.74, 1.66, 4.37, 4.78, 1.54, 8.52], [1.47, 1.67, 4.28, -5.22, 1.78, 20.21], [1.38, 1.67, 4.37, -4.94, 1.72, 25.56], [1.54, 1.58, 3.2, 5.44, 1.51, 15.54], [1.51, 1.72, 4.03, 5.54, 1.47, 13.35]], \"ry\": [0.09, 0.06, -0.03, -3.04, 3.05, 0.01, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 323,
        "data_source": "Mono3DRefer",
        "scene_name": "000763",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [3.02, 0.77, -1.7, 2.96], \"boxes_2d\": [[874.58, 161.12, 937.38, 183.85], [362.42, 176.81, 412.89, 197.28], [710.47, 173.82, 782.51, 225.46], [728.08, 165.87, 785.4, 185.41]], \"boxes_3d\": [[1.59, 1.64, 4.08, 21.67, 0.78, 53.0], [1.49, 1.59, 3.46, -16.62, 1.8, 53.86], [1.43, 1.59, 4.21, 4.08, 1.49, 22.32], [1.41, 1.59, 4.01, 11.05, 0.92, 54.59]], \"ry\": [-2.88, 0.47, -1.52, -3.12]}\n```"
            }
        ]
    },
    {
        "id": 324,
        "data_source": "Mono3DRefer",
        "scene_name": "000776",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.89, 1.68, 1.82, 1.76, 1.61], \"boxes_2d\": [[564.61, 188.21, 700.38, 275.32], [788.25, 182.23, 856.11, 231.31], [652.85, 185.5, 750.87, 244.43], [728.41, 185.43, 785.21, 225.57], [789.26, 179.99, 822.6, 207.39]], \"boxes_3d\": [[1.48, 1.51, 4.35, 0.59, 1.83, 15.03], [1.46, 1.74, 3.99, 7.08, 1.79, 23.97], [1.42, 1.68, 4.29, 2.65, 1.8, 20.23], [1.36, 1.4, 3.8, 5.55, 1.86, 27.14], [1.44, 1.65, 2.96, 10.82, 1.85, 39.85]], \"ry\": [1.92, 1.96, 1.95, 1.96, 1.87]}\n```"
            }
        ]
    },
    {
        "id": 325,
        "data_source": "Mono3DRefer",
        "scene_name": "000780",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.86, -1.98, -1.78, -1.72, -1.66, 1.66, 1.79, 2.51, 2.09, 1.92], \"boxes_2d\": [[359.33, 174.42, 462.37, 243.47], [788.39, 167.01, 1126.78, 374.0], [708.79, 157.07, 863.48, 284.0], [679.6, 157.82, 780.97, 245.86], [671.5, 170.38, 734.94, 226.58], [531.19, 166.63, 559.77, 195.34], [437.17, 176.68, 499.76, 221.06], [0.0, 212.28, 86.09, 374.0], [0.0, 192.47, 315.3, 364.81], [247.74, 184.08, 416.03, 283.3]], \"boxes_3d\": [[1.65, 1.61, 3.73, -5.24, 1.72, 19.29], [1.57, 1.54, 3.22, 2.85, 1.55, 6.78], [1.74, 1.6, 3.86, 2.65, 1.55, 11.89], [1.83, 1.69, 4.44, 2.69, 1.54, 17.32], [1.61, 1.62, 3.78, 2.82, 1.57, 22.78], [1.86, 1.57, 3.83, -4.37, 1.48, 49.07], [1.5, 1.46, 3.7, -5.14, 1.65, 26.41], [1.54, 1.7, 4.32, -5.3, 1.85, 3.83], [1.54, 1.54, 3.72, -5.11, 1.81, 8.62], [1.57, 1.6, 4.24, -5.13, 1.81, 13.84]], \"ry\": [1.6, -1.6, -1.57, -1.57, -1.54, 1.58, 1.6, 1.6, 1.57, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 326,
        "data_source": "Mono3DRefer",
        "scene_name": "000781",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.39], \"boxes_2d\": [[292.07, 186.29, 435.74, 227.61]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.66, 1.86, 25.47]], \"ry\": [0.06]}\n```"
            }
        ]
    },
    {
        "id": 327,
        "data_source": "Mono3DRefer",
        "scene_name": "000783",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.6, 1.99], \"boxes_2d\": [[659.21, 167.22, 695.89, 201.77], [113.61, 183.49, 397.75, 350.73]], \"boxes_3d\": [[1.62, 1.7, 3.29, 3.29, 1.38, 35.93], [1.59, 1.63, 3.83, -4.06, 1.74, 8.92]], \"ry\": [-1.51, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 328,
        "data_source": "Mono3DRefer",
        "scene_name": "000786",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.67, 1.64], \"boxes_2d\": [[512.91, 183.16, 557.23, 216.89], [553.18, 180.85, 577.14, 199.17]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.64, 2.04, 35.42], [1.44, 1.7, 3.65, -3.68, 2.11, 59.45]], \"ry\": [1.57, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 329,
        "data_source": "Mono3DRefer",
        "scene_name": "000788",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.08], \"boxes_2d\": [[0.0, 162.91, 291.69, 363.0]], \"boxes_3d\": [[1.86, 1.57, 3.83, -5.45, 1.8, 8.67]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 330,
        "data_source": "Mono3DRefer",
        "scene_name": "000791",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.15, -0.95, -1.47, -1.96, -1.61, -2.03, -0.79, -0.7], \"boxes_2d\": [[361.12, 189.23, 520.33, 269.31], [229.66, 167.89, 412.83, 266.77], [613.23, 174.5, 679.88, 226.07], [1012.55, 174.87, 1223.0, 265.94], [796.89, 164.05, 845.19, 205.81], [1125.42, 162.12, 1241.0, 257.11], [27.55, 193.41, 236.41, 265.59], [0.0, 200.25, 89.11, 256.68]], \"boxes_3d\": [[1.48, 1.71, 4.65, -3.65, 1.89, 16.34], [2.04, 1.66, 4.62, -6.72, 1.96, 17.32], [1.42, 1.64, 3.95, 1.16, 1.49, 21.99], [1.51, 1.72, 4.5, 9.69, 1.57, 14.32], [1.7, 1.8, 4.5, 9.18, 1.37, 31.74], [1.64, 1.73, 4.43, 12.16, 1.46, 14.23], [1.53, 1.61, 4.73, -12.15, 2.12, 18.73], [1.4, 1.56, 3.48, -16.6, 2.21, 19.86]], \"ry\": [-1.37, -1.32, -1.42, -1.37, -1.33, -1.34, -1.36, -1.39]}\n```"
            }
        ]
    },
    {
        "id": 331,
        "data_source": "Mono3DRefer",
        "scene_name": "000793",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.4, -1.49, -1.55, -1.5], \"boxes_2d\": [[462.47, 174.59, 549.96, 238.14], [523.4, 175.6, 568.46, 212.46], [601.71, 169.27, 640.76, 204.87], [566.8, 167.41, 597.76, 194.69]], \"boxes_3d\": [[1.47, 1.59, 4.03, -2.39, 1.31, 18.78], [1.41, 1.54, 3.36, -2.23, 1.18, 29.4], [1.52, 1.67, 4.38, 0.95, 1.0, 33.28], [1.56, 1.59, 3.65, -1.11, 0.75, 43.41]], \"ry\": [-1.53, -1.57, -1.53, -1.53]}\n```"
            }
        ]
    },
    {
        "id": 332,
        "data_source": "Mono3DRefer",
        "scene_name": "000794",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.86, -1.57], \"boxes_2d\": [[520.47, 177.65, 557.26, 197.81], [716.6, 176.12, 739.27, 196.19]], \"boxes_3d\": [[1.45, 1.59, 4.28, -5.34, 1.82, 54.46], [1.43, 1.59, 4.21, 8.83, 1.7, 54.08]], \"ry\": [1.76, -1.41]}\n```"
            }
        ]
    },
    {
        "id": 333,
        "data_source": "Mono3DRefer",
        "scene_name": "000797",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.87], \"boxes_2d\": [[297.89, 190.29, 424.13, 288.47]], \"boxes_3d\": [[1.86, 1.57, 3.83, -5.44, 2.28, 16.11]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 334,
        "data_source": "Mono3DRefer",
        "scene_name": "000802",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.83, 1.74, -1.63, 1.76, 1.74, 0.45, -2.07, -1.84], \"boxes_2d\": [[420.74, 183.74, 510.25, 243.19], [469.41, 181.82, 535.65, 229.55], [693.41, 174.79, 731.81, 208.97], [502.1, 185.79, 553.21, 220.56], [522.09, 183.29, 567.91, 214.75], [131.2, 185.36, 276.88, 230.0], [875.97, 205.29, 1241.0, 374.0], [773.57, 187.49, 959.71, 305.98]], \"boxes_3d\": [[1.58, 1.68, 3.76, -4.23, 1.92, 21.46], [1.61, 1.74, 4.06, -3.93, 1.96, 26.78], [1.77, 1.77, 5.1, 5.64, 1.91, 40.32], [1.39, 1.55, 3.65, -3.58, 1.98, 31.6], [1.46, 1.63, 3.92, -3.24, 2.01, 36.3], [1.5, 1.87, 4.23, -14.73, 1.99, 26.3], [1.38, 1.73, 3.97, 3.62, 1.72, 5.75], [1.5, 1.62, 4.11, 3.78, 1.76, 11.49]], \"ry\": [1.64, 1.6, -1.49, 1.65, 1.66, -0.06, -1.53, -1.53]}\n```"
            }
        ]
    },
    {
        "id": 335,
        "data_source": "Mono3DRefer",
        "scene_name": "000807",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.88], \"boxes_2d\": [[345.19, 185.83, 402.41, 214.58]], \"boxes_3d\": [[1.55, 1.88, 4.59, -13.84, 2.34, 42.48]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 336,
        "data_source": "Mono3DRefer",
        "scene_name": "000808",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.54, -1.6, 2.59, 1.83], \"boxes_2d\": [[585.86, 182.94, 627.43, 221.2], [601.88, 184.97, 665.33, 237.34], [967.93, 175.21, 1087.4, 209.95], [402.14, 186.23, 446.06, 213.49]], \"boxes_3d\": [[1.52, 1.67, 3.61, -0.13, 1.97, 30.96], [1.36, 1.69, 3.38, 0.59, 1.74, 21.03], [1.45, 1.67, 4.32, 18.35, 1.58, 31.86], [1.59, 1.72, 3.86, -11.63, 2.45, 45.28]], \"ry\": [-1.55, -1.57, 3.1, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 337,
        "data_source": "Mono3DRefer",
        "scene_name": "000810",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.74], \"boxes_2d\": [[668.22, 193.07, 764.47, 262.68]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.43, 1.95, 17.76]], \"ry\": [-1.6]}\n```"
            }
        ]
    },
    {
        "id": 338,
        "data_source": "Mono3DRefer",
        "scene_name": "000813",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.88, -1.57], \"boxes_2d\": [[501.87, 178.19, 542.47, 200.03], [715.81, 176.69, 739.49, 197.66]], \"boxes_3d\": [[1.45, 1.59, 4.28, -6.11, 1.83, 50.43], [1.43, 1.59, 4.21, 8.42, 1.72, 51.84]], \"ry\": [1.76, -1.41]}\n```"
            }
        ]
    },
    {
        "id": 339,
        "data_source": "Mono3DRefer",
        "scene_name": "000816",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.65], \"boxes_2d\": [[537.6, 170.87, 608.26, 229.25]], \"boxes_3d\": [[1.49, 1.68, 4.08, -0.74, 1.22, 20.54]], \"ry\": [1.61]}\n```"
            }
        ]
    },
    {
        "id": 340,
        "data_source": "Mono3DRefer",
        "scene_name": "000817",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.15, 2.16, -1.19, -1.07], \"boxes_2d\": [[0.0, 188.31, 337.38, 374.0], [0.0, 189.55, 239.41, 329.16], [339.47, 190.35, 430.51, 241.23], [263.11, 190.53, 379.52, 243.46]], \"boxes_3d\": [[1.62, 1.75, 4.3, -3.98, 1.78, 5.89], [1.47, 1.73, 4.48, -7.25, 1.75, 10.16], [1.39, 1.59, 3.17, -6.84, 1.96, 22.1], [1.46, 1.55, 4.28, -9.08, 2.06, 22.99]], \"ry\": [1.57, 1.55, -1.49, -1.44]}\n```"
            }
        ]
    },
    {
        "id": 341,
        "data_source": "Mono3DRefer",
        "scene_name": "000818",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.61, 2.03], \"boxes_2d\": [[543.69, 164.21, 572.9, 193.67], [0.0, 204.69, 402.33, 374.0]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.63, 1.42, 51.02], [1.42, 1.66, 4.11, -3.05, 1.75, 5.62]], \"ry\": [1.54, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 342,
        "data_source": "Mono3DRefer",
        "scene_name": "000821",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-0.19], \"boxes_2d\": [[424.61, 186.64, 805.46, 324.08]], \"boxes_3d\": [[1.45, 1.68, 4.53, -0.04, 1.66, 9.24]], \"ry\": [-0.2]}\n```"
            }
        ]
    },
    {
        "id": 343,
        "data_source": "Mono3DRefer",
        "scene_name": "000822",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.46, -1.54, -1.53], \"boxes_2d\": [[545.87, 172.35, 584.73, 202.04], [612.22, 168.98, 639.37, 192.76], [589.63, 168.17, 610.78, 187.69]], \"boxes_3d\": [[1.47, 1.59, 4.03, -1.85, 1.01, 37.93], [1.52, 1.67, 4.38, 1.71, 0.71, 48.75], [1.56, 1.59, 3.65, -0.04, 0.49, 59.95]], \"ry\": [-1.51, -1.51, -1.53]}\n```"
            }
        ]
    },
    {
        "id": 344,
        "data_source": "Mono3DRefer",
        "scene_name": "000829",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.74, 1.69], \"boxes_2d\": [[442.72, 183.1, 527.89, 243.64], [505.35, 179.44, 559.04, 221.44]], \"boxes_3d\": [[1.44, 1.62, 3.67, -3.28, 1.73, 19.36], [1.51, 1.62, 3.68, -3.0, 1.78, 28.13]], \"ry\": [1.58, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 345,
        "data_source": "Mono3DRefer",
        "scene_name": "000830",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.99, -1.6], \"boxes_2d\": [[362.18, 180.43, 437.46, 215.63], [703.86, 175.82, 734.24, 202.01]], \"boxes_3d\": [[1.45, 1.59, 4.28, -9.31, 1.8, 32.2], [1.43, 1.59, 4.21, 6.27, 1.62, 41.93]], \"ry\": [1.71, -1.45]}\n```"
            }
        ]
    },
    {
        "id": 346,
        "data_source": "Mono3DRefer",
        "scene_name": "000832",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.74, -2.46], \"boxes_2d\": [[676.67, 174.6, 707.67, 194.83], [800.46, 174.47, 866.86, 201.82]], \"boxes_3d\": [[1.45, 1.61, 4.2, 6.13, 1.61, 54.37], [1.48, 1.36, 3.51, 12.63, 1.6, 41.0]], \"ry\": [-1.63, -2.16]}\n```"
            }
        ]
    },
    {
        "id": 347,
        "data_source": "Mono3DRefer",
        "scene_name": "000834",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.62], \"boxes_2d\": [[547.4, 177.04, 572.4, 199.87]], \"boxes_3d\": [[1.7, 1.72, 4.11, -3.9, 2.05, 56.37]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 348,
        "data_source": "Mono3DRefer",
        "scene_name": "000835",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.64], \"boxes_2d\": [[543.59, 181.61, 571.93, 204.06]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.73, 2.16, 51.84]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 349,
        "data_source": "Mono3DRefer",
        "scene_name": "000836",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.54, 1.76, 1.88], \"boxes_2d\": [[612.33, 174.27, 666.38, 226.41], [476.52, 180.84, 542.39, 225.69], [426.55, 182.07, 489.85, 219.62]], \"boxes_3d\": [[1.61, 1.66, 3.2, 0.99, 1.68, 24.06], [1.44, 1.61, 3.66, -3.48, 1.73, 25.25], [1.41, 1.53, 3.37, -6.09, 1.79, 29.12]], \"ry\": [-1.5, 1.62, 1.67]}\n```"
            }
        ]
    },
    {
        "id": 350,
        "data_source": "Mono3DRefer",
        "scene_name": "000839",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[435.69, 182.58, 507.07, 237.77]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.68, 2.05, 24.69]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 351,
        "data_source": "Mono3DRefer",
        "scene_name": "000842",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.61], \"boxes_2d\": [[536.71, 170.99, 568.58, 202.82]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.74, 1.89, 47.4]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 352,
        "data_source": "Mono3DRefer",
        "scene_name": "000845",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.41, -2.74, -2.84, -2.84, -2.94, -2.97, -2.91, -2.96, 2.77, -2.39, -2.6, -2.66], \"boxes_2d\": [[196.85, 184.35, 370.3, 243.7], [253.12, 173.9, 407.24, 233.22], [308.45, 181.37, 428.83, 227.56], [335.89, 180.89, 440.39, 218.3], [365.72, 180.29, 449.34, 219.29], [391.35, 183.43, 477.67, 213.53], [410.7, 173.35, 485.32, 206.85], [427.75, 176.73, 501.76, 206.49], [442.74, 177.03, 511.51, 203.73], [0.0, 195.91, 81.32, 330.88], [34.88, 186.35, 269.23, 278.14], [140.66, 179.77, 331.03, 253.29]], \"boxes_3d\": [[1.46, 1.63, 3.85, -8.6, 1.79, 19.12], [1.71, 1.69, 4.06, -8.54, 1.77, 22.12], [1.51, 1.61, 3.65, -8.37, 1.83, 25.1], [1.45, 1.54, 3.79, -9.06, 1.8, 29.51], [1.66, 1.62, 3.34, -9.06, 2.02, 32.36], [1.41, 1.59, 3.94, -8.68, 1.95, 35.78], [1.69, 1.77, 3.51, -8.52, 1.74, 38.03], [1.61, 1.66, 3.86, -8.21, 1.85, 40.87], [1.59, 1.71, 3.9, -8.4, 1.88, 45.53], [1.44, 1.52, 3.5, -8.43, 1.74, 8.26], [1.59, 1.52, 3.47, -8.61, 1.87, 13.68], [1.58, 1.55, 3.59, -8.59, 1.76, 16.66]], \"ry\": [-0.0, -3.1, 3.13, -3.13, 3.07, 3.08, -3.13, 3.12, 2.58, 3.12, 3.13, -3.13]}\n```"
            }
        ]
    },
    {
        "id": 353,
        "data_source": "Mono3DRefer",
        "scene_name": "000846",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.77, 2.7, 3.06, 2.88, 0.59], \"boxes_2d\": [[735.32, 179.57, 851.17, 254.87], [651.6, 172.62, 718.25, 195.4], [828.02, 166.76, 895.02, 191.69], [979.42, 166.53, 1068.34, 190.59], [365.97, 179.39, 427.65, 203.44]], \"boxes_3d\": [[1.43, 1.59, 4.21, 3.84, 1.59, 15.96], [1.41, 1.59, 4.01, 4.86, 1.42, 47.02], [1.59, 1.64, 4.08, 16.69, 1.23, 48.12], [1.46, 1.64, 4.63, 26.26, 1.1, 45.97], [1.49, 1.59, 3.46, -13.6, 1.92, 45.99]], \"ry\": [-1.54, 2.8, -2.89, -2.88, 0.3]}\n```"
            }
        ]
    },
    {
        "id": 354,
        "data_source": "Mono3DRefer",
        "scene_name": "000848",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [3.0, -1.1, 2.21], \"boxes_2d\": [[0.0, 168.21, 274.15, 255.34], [1023.12, 152.52, 1237.84, 256.67], [1161.66, 156.97, 1241.0, 207.71]], \"boxes_3d\": [[1.49, 1.67, 4.5, -9.39, 1.42, 14.4], [1.65, 1.67, 3.64, 9.36, 1.33, 13.0], [1.59, 1.55, 3.93, 20.59, 1.09, 23.9]], \"ry\": [2.43, -0.48, 2.91]}\n```"
            }
        ]
    },
    {
        "id": 355,
        "data_source": "Mono3DRefer",
        "scene_name": "000849",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.22, 1.64, -2.92], \"boxes_2d\": [[788.53, 189.93, 1137.59, 374.0], [589.72, 173.63, 630.7, 206.64], [373.7, 173.33, 526.7, 225.22]], \"boxes_3d\": [[1.49, 1.61, 3.74, 2.91, 1.68, 6.97], [1.46, 1.63, 4.47, 0.04, 1.53, 34.58], [1.47, 1.68, 4.26, -4.8, 1.52, 21.89]], \"ry\": [1.6, 1.64, -3.14]}\n```"
            }
        ]
    },
    {
        "id": 356,
        "data_source": "Mono3DRefer",
        "scene_name": "000851",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.68, 1.68], \"boxes_2d\": [[533.07, 181.1, 581.41, 220.64], [433.9, 176.63, 468.02, 205.31]], \"boxes_3d\": [[1.53, 1.59, 3.64, -2.3, 1.89, 30.21], [1.63, 1.6, 3.73, -9.52, 1.87, 43.29]], \"ry\": [-1.76, 1.46]}\n```"
            }
        ]
    },
    {
        "id": 357,
        "data_source": "Mono3DRefer",
        "scene_name": "000854",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.01, 1.84], \"boxes_2d\": [[236.74, 186.46, 321.18, 226.99], [412.68, 178.85, 448.08, 197.34]], \"boxes_3d\": [[1.48, 1.71, 3.54, -13.22, 2.05, 28.95], [1.56, 1.91, 4.44, -15.85, 2.1, 63.82]], \"ry\": [1.59, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 358,
        "data_source": "Mono3DRefer",
        "scene_name": "000856",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.91, 1.75, 1.69, 1.69, 1.82], \"boxes_2d\": [[756.9, 202.27, 1114.22, 374.0], [459.12, 189.11, 552.13, 264.02], [514.91, 174.08, 584.22, 240.85], [557.8, 178.84, 612.8, 228.56], [621.61, 185.69, 663.66, 212.3]], \"boxes_3d\": [[1.48, 1.6, 3.79, 2.49, 1.82, 6.65], [1.56, 1.55, 3.64, -2.44, 1.98, 17.36], [1.91, 1.66, 4.22, -1.85, 1.97, 22.86], [1.83, 1.69, 4.28, -0.94, 2.08, 28.82], [1.51, 1.63, 4.03, 2.03, 2.33, 44.23]], \"ry\": [-1.56, 1.62, 1.61, 1.65, 1.86]}\n```"
            }
        ]
    },
    {
        "id": 359,
        "data_source": "Mono3DRefer",
        "scene_name": "000858",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.11], \"boxes_2d\": [[49.58, 201.59, 198.11, 265.08]], \"boxes_3d\": [[1.35, 1.5, 3.64, -12.39, 2.15, 18.6]], \"ry\": [1.53]}\n```"
            }
        ]
    },
    {
        "id": 360,
        "data_source": "Mono3DRefer",
        "scene_name": "000859",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.77, 1.42, 1.8, 1.78, 1.75], \"boxes_2d\": [[791.11, 177.42, 961.57, 298.1], [737.92, 178.5, 832.02, 249.27], [585.08, 174.08, 634.32, 207.87], [622.53, 178.6, 661.32, 202.34], [682.01, 176.83, 708.49, 193.76]], \"boxes_3d\": [[1.57, 1.66, 4.02, 3.96, 1.66, 11.51], [1.53, 1.62, 3.77, 4.1, 1.68, 17.59], [1.76, 1.77, 4.41, 0.02, 1.85, 39.89], [1.48, 1.65, 4.4, 2.12, 1.86, 47.33], [1.42, 1.66, 3.64, 7.42, 1.78, 62.68]], \"ry\": [-1.45, 1.65, 1.8, 1.82, 1.87]}\n```"
            }
        ]
    },
    {
        "id": 361,
        "data_source": "Mono3DRefer",
        "scene_name": "000865",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.91, 1.65], \"boxes_2d\": [[203.04, 201.88, 468.2, 374.0], [535.61, 197.0, 573.54, 227.99]], \"boxes_3d\": [[1.6, 1.68, 3.94, -3.04, 2.02, 8.8], [1.42, 1.66, 4.11, -2.88, 2.74, 37.75]], \"ry\": [1.59, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 362,
        "data_source": "Mono3DRefer",
        "scene_name": "000870",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, 1.9, -2.31, -1.54], \"boxes_2d\": [[601.64, 181.69, 678.8, 244.68], [337.87, 181.1, 401.28, 216.61], [475.68, 178.03, 550.03, 211.62], [583.31, 181.52, 627.65, 222.14]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.62, 1.59, 17.59], [1.59, 1.72, 3.86, -11.49, 2.0, 34.65], [1.59, 1.63, 3.64, -4.91, 1.87, 36.05], [1.52, 1.67, 3.61, -0.17, 1.88, 29.14]], \"ry\": [-1.57, 1.58, -2.45, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 363,
        "data_source": "Mono3DRefer",
        "scene_name": "000875",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.57, -2.68, 0.27, -1.76], \"boxes_2d\": [[0.0, 179.69, 205.93, 293.37], [16.18, 180.31, 269.69, 267.44], [114.26, 167.93, 315.1, 251.0], [511.86, 177.33, 567.47, 218.88]], \"boxes_3d\": [[1.49, 1.75, 3.73, -8.27, 1.61, 10.46], [1.49, 1.64, 3.69, -8.73, 1.65, 13.68], [1.77, 1.6, 3.79, -9.06, 1.68, 16.74], [1.66, 1.66, 3.98, -3.14, 1.87, 31.17]], \"ry\": [3.06, 3.04, -0.22, -1.86]}\n```"
            }
        ]
    },
    {
        "id": 364,
        "data_source": "Mono3DRefer",
        "scene_name": "000877",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.81, 1.77], \"boxes_2d\": [[369.82, 187.81, 431.48, 225.1], [434.33, 183.67, 469.24, 209.82]], \"boxes_3d\": [[1.56, 1.73, 4.37, -9.7, 2.29, 33.64], [1.6, 1.67, 2.65, -10.14, 2.31, 46.27]], \"ry\": [1.54, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 365,
        "data_source": "Mono3DRefer",
        "scene_name": "000878",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.87], \"boxes_2d\": [[376.73, 183.14, 429.04, 211.56]], \"boxes_3d\": [[1.62, 1.86, 4.31, -12.61, 2.26, 44.11]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 366,
        "data_source": "Mono3DRefer",
        "scene_name": "000879",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.86], \"boxes_2d\": [[369.4, 185.46, 420.32, 210.43]], \"boxes_3d\": [[1.5, 1.95, 4.6, -13.99, 2.35, 47.1]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 367,
        "data_source": "Mono3DRefer",
        "scene_name": "000881",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.57], \"boxes_2d\": [[578.34, 182.19, 605.49, 209.17]], \"boxes_3d\": [[1.65, 1.67, 3.64, -1.19, 2.27, 46.64]], \"ry\": [-1.59]}\n```"
            }
        ]
    },
    {
        "id": 368,
        "data_source": "Mono3DRefer",
        "scene_name": "000884",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.71, -1.72], \"boxes_2d\": [[454.15, 182.71, 548.63, 254.64], [669.56, 182.91, 731.03, 232.74]], \"boxes_3d\": [[1.55, 1.68, 4.42, -2.62, 1.81, 18.07], [1.6, 1.53, 4.18, 3.09, 1.97, 25.65]], \"ry\": [1.57, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 369,
        "data_source": "Mono3DRefer",
        "scene_name": "000885",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.72, 1.35, 1.38, 1.61, -1.65], \"boxes_2d\": [[430.33, 182.04, 532.74, 261.28], [692.66, 184.52, 844.71, 294.35], [688.22, 180.36, 775.62, 250.85], [524.85, 182.32, 565.09, 218.24], [646.98, 177.32, 692.12, 216.89]], \"boxes_3d\": [[1.52, 1.57, 4.42, -2.78, 1.74, 16.27], [1.51, 1.58, 3.92, 2.42, 1.72, 12.14], [1.55, 1.47, 3.36, 2.85, 1.74, 17.72], [1.46, 1.6, 3.33, -2.83, 1.88, 31.5], [1.64, 1.7, 3.54, 2.55, 1.86, 32.0]], \"ry\": [1.56, 1.54, 1.54, 1.52, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 370,
        "data_source": "Mono3DRefer",
        "scene_name": "000887",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.11, 2.19, 2.09, 1.99, 1.94], \"boxes_2d\": [[2.75, 196.29, 83.42, 230.2], [83.34, 190.17, 163.91, 222.12], [148.84, 191.01, 205.29, 215.97], [184.01, 187.29, 234.58, 210.12], [223.46, 189.41, 263.85, 211.75]], \"boxes_3d\": [[1.43, 1.48, 3.33, -26.68, 2.58, 34.03], [1.62, 1.6, 4.18, -27.08, 2.62, 40.3], [1.48, 1.35, 3.93, -28.07, 2.7, 46.86], [1.5, 1.62, 4.08, -28.38, 2.55, 51.19], [1.65, 1.57, 3.82, -29.02, 2.99, 57.22]], \"ry\": [1.45, 1.6, 1.55, 1.48, 1.47]}\n```"
            }
        ]
    },
    {
        "id": 371,
        "data_source": "Mono3DRefer",
        "scene_name": "000890",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.85, -1.83, -1.98, -1.7], \"boxes_2d\": [[730.12, 186.87, 877.86, 284.24], [735.88, 176.5, 785.41, 208.7], [813.98, 178.61, 925.48, 233.92], [650.72, 177.24, 686.94, 206.17]], \"boxes_3d\": [[1.38, 1.49, 3.32, 3.08, 1.64, 12.22], [1.43, 1.48, 3.25, 7.03, 1.62, 34.1], [1.44, 1.56, 3.96, 7.38, 1.62, 21.02], [1.42, 1.45, 3.2, 2.98, 1.66, 37.33]], \"ry\": [-1.61, -1.63, -1.65, -1.62]}\n```"
            }
        ]
    },
    {
        "id": 372,
        "data_source": "Mono3DRefer",
        "scene_name": "000893",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.1], \"boxes_2d\": [[113.18, 192.89, 246.14, 248.37]], \"boxes_3d\": [[1.57, 1.9, 4.16, -14.02, 2.28, 23.76]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 373,
        "data_source": "Mono3DRefer",
        "scene_name": "000895",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.59], \"boxes_2d\": [[494.56, 181.99, 548.2, 229.92]], \"boxes_3d\": [[1.41, 1.59, 4.47, -2.94, 1.73, 23.92]], \"ry\": [1.47]}\n```"
            }
        ]
    },
    {
        "id": 374,
        "data_source": "Mono3DRefer",
        "scene_name": "000901",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.58], \"boxes_2d\": [[589.84, 190.33, 626.7, 224.66]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.11, 2.27, 33.61]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 375,
        "data_source": "Mono3DRefer",
        "scene_name": "000905",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.57], \"boxes_2d\": [[411.68, 193.66, 453.77, 233.86]], \"boxes_3d\": [[1.65, 1.75, 3.39, -8.09, 2.63, 32.82]], \"ry\": [1.33]}\n```"
            }
        ]
    },
    {
        "id": 376,
        "data_source": "Mono3DRefer",
        "scene_name": "000920",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.86, 1.41, 1.71, -1.73], \"boxes_2d\": [[204.69, 192.16, 430.14, 333.28], [647.31, 180.76, 726.02, 243.96], [469.15, 184.41, 530.51, 227.54], [630.54, 183.61, 687.77, 225.83]], \"boxes_3d\": [[1.45, 1.64, 4.21, -3.77, 1.76, 10.0], [1.62, 1.58, 3.89, 2.05, 1.85, 20.62], [1.45, 1.67, 4.43, -4.09, 1.91, 27.19], [1.47, 1.59, 3.62, 1.77, 1.89, 27.45]], \"ry\": [1.51, 1.51, 1.56, -1.67]}\n```"
            }
        ]
    },
    {
        "id": 377,
        "data_source": "Mono3DRefer",
        "scene_name": "000921",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.67, 1.69], \"boxes_2d\": [[540.42, 180.79, 568.75, 207.31], [469.26, 175.15, 541.73, 239.43]], \"boxes_3d\": [[1.7, 1.53, 3.82, -3.73, 2.25, 48.76], [1.97, 1.87, 4.53, -3.49, 2.08, 24.62]], \"ry\": [1.59, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 378,
        "data_source": "Mono3DRefer",
        "scene_name": "000930",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.96, -1.35, 1.47], \"boxes_2d\": [[74.42, 159.2, 440.97, 374.0], [402.09, 186.56, 523.35, 266.07], [636.4, 180.08, 681.86, 216.2]], \"boxes_3d\": [[1.7, 1.63, 4.08, -3.01, 1.64, 7.12], [1.4, 1.67, 3.72, -2.96, 1.71, 15.01], [1.49, 1.61, 3.74, 2.08, 1.82, 31.91]], \"ry\": [1.57, -1.54, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 379,
        "data_source": "Mono3DRefer",
        "scene_name": "000933",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.7], \"boxes_2d\": [[481.18, 184.27, 541.92, 227.32]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.63, 1.89, 26.95]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 380,
        "data_source": "Mono3DRefer",
        "scene_name": "000941",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.1, 1.76, 1.63], \"boxes_2d\": [[0.0, 187.55, 425.15, 374.0], [432.73, 183.27, 536.13, 260.78], [558.58, 183.21, 588.78, 207.04]], \"boxes_3d\": [[1.77, 1.75, 4.67, -3.17, 1.93, 6.27], [1.6, 1.68, 3.94, -2.88, 1.86, 17.12], [1.42, 1.66, 4.11, -2.3, 2.1, 46.1]], \"ry\": [-1.55, 1.59, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 381,
        "data_source": "Mono3DRefer",
        "scene_name": "000945",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.81, -2.04, -1.84, -1.75, -1.42, 1.71, -1.76, -1.68, 1.69, 1.65, 1.67], \"boxes_2d\": [[363.97, 182.25, 518.82, 301.31], [875.51, 219.55, 1241.0, 374.0], [721.52, 186.08, 904.77, 327.88], [670.11, 189.77, 777.05, 274.71], [449.02, 187.12, 535.12, 261.03], [479.73, 186.94, 547.47, 238.96], [654.31, 184.86, 726.06, 240.73], [636.74, 186.69, 691.2, 230.76], [524.87, 185.58, 563.02, 217.95], [547.18, 177.05, 580.74, 210.91], [560.37, 179.67, 591.66, 208.01]], \"boxes_3d\": [[1.63, 1.6, 3.73, -2.62, 1.8, 11.88], [1.45, 1.5, 3.26, 2.57, 1.79, 3.78], [1.59, 1.49, 3.34, 2.56, 1.8, 9.99], [1.54, 1.6, 3.52, 2.25, 1.93, 15.36], [1.54, 1.5, 3.48, -2.76, 1.91, 17.24], [1.44, 1.63, 3.32, -2.95, 1.9, 22.34], [1.55, 1.55, 3.27, 2.35, 1.93, 22.14], [1.48, 1.6, 3.79, 1.91, 2.03, 27.0], [1.56, 1.55, 3.64, -3.41, 2.24, 37.46], [1.91, 1.66, 4.22, -2.72, 2.17, 43.08], [1.83, 1.69, 4.28, -2.28, 2.3, 49.02]], \"ry\": [1.59, -1.47, -1.6, -1.6, -1.58, 1.58, -1.66, -1.61, 1.6, 1.58, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 382,
        "data_source": "Mono3DRefer",
        "scene_name": "000950",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.53], \"boxes_2d\": [[540.2, 186.06, 568.58, 214.59]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.58, 2.54, 45.71]], \"ry\": [1.46]}\n```"
            }
        ]
    },
    {
        "id": 383,
        "data_source": "Mono3DRefer",
        "scene_name": "000951",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.19, -1.0, -1.44, -1.9, -1.58, -1.96, -2.08], \"boxes_2d\": [[159.13, 186.76, 316.12, 260.55], [0.12, 165.41, 200.99, 264.21], [404.21, 171.04, 470.78, 217.94], [729.04, 171.75, 852.09, 236.91], [572.27, 161.95, 611.42, 198.88], [805.75, 162.56, 936.29, 230.6], [892.49, 171.92, 1049.68, 229.86]], \"boxes_3d\": [[1.48, 1.71, 4.65, -8.75, 1.84, 17.37], [2.04, 1.66, 4.62, -11.97, 1.92, 17.34], [1.42, 1.64, 3.95, -5.72, 1.4, 24.15], [1.51, 1.72, 4.5, 4.58, 1.52, 19.2], [1.7, 1.8, 4.5, -0.95, 1.22, 35.74], [1.64, 1.73, 4.43, 6.94, 1.42, 19.82], [1.38, 1.8, 4.49, 9.6, 1.39, 19.74]], \"ry\": [-1.65, -1.6, -1.67, -1.67, -1.61, -1.63, -1.64]}\n```"
            }
        ]
    },
    {
        "id": 384,
        "data_source": "Mono3DRefer",
        "scene_name": "000952",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.28, -0.86, 2.02], \"boxes_2d\": [[1052.37, 179.61, 1209.11, 263.49], [577.72, 168.44, 893.86, 359.62], [839.56, 167.77, 1067.47, 299.57]], \"boxes_3d\": [[1.47, 1.6, 3.66, 10.56, 1.62, 14.61], [1.6, 1.57, 3.23, 1.38, 1.58, 7.68], [1.57, 1.5, 3.68, 4.97, 1.52, 10.33]], \"ry\": [-0.66, -0.69, 2.46]}\n```"
            }
        ]
    },
    {
        "id": 385,
        "data_source": "Mono3DRefer",
        "scene_name": "000954",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.91], \"boxes_2d\": [[762.07, 159.9, 989.43, 312.81]], \"boxes_3d\": [[1.64, 1.69, 3.3, 3.19, 1.53, 9.49]], \"ry\": [-1.59]}\n```"
            }
        ]
    },
    {
        "id": 386,
        "data_source": "Mono3DRefer",
        "scene_name": "000955",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [0.36, -2.73, 1.44], \"boxes_2d\": [[235.76, 183.17, 390.22, 241.04], [307.68, 183.82, 428.31, 228.58], [885.78, 162.78, 921.38, 185.62]], \"boxes_3d\": [[1.52, 1.64, 3.7, -8.36, 1.84, 20.43], [1.5, 1.62, 3.69, -8.54, 1.91, 25.49], [1.51, 1.7, 4.45, 20.46, 0.86, 50.46]], \"ry\": [-0.03, -3.05, 1.82]}\n```"
            }
        ]
    },
    {
        "id": 387,
        "data_source": "Mono3DRefer",
        "scene_name": "000960",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.63], \"boxes_2d\": [[551.18, 178.6, 576.02, 197.25]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.77, 1.94, 58.91]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 388,
        "data_source": "Mono3DRefer",
        "scene_name": "000962",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.67, -1.75, -2.05, -1.78, -1.88], \"boxes_2d\": [[636.56, 175.95, 663.41, 198.34], [684.67, 182.62, 764.91, 240.58], [829.38, 185.73, 1238.19, 374.0], [701.33, 175.12, 737.13, 200.1], [751.8, 176.57, 819.57, 214.29]], \"boxes_3d\": [[1.42, 1.45, 3.2, 2.6, 1.64, 47.77], [1.38, 1.49, 3.32, 2.91, 1.65, 19.14], [1.5, 1.62, 3.89, 3.58, 1.65, 7.08], [1.43, 1.48, 3.25, 6.52, 1.59, 43.48], [1.44, 1.56, 3.96, 7.15, 1.61, 29.87]], \"ry\": [-1.61, -1.6, -1.6, -1.63, -1.65]}\n```"
            }
        ]
    },
    {
        "id": 389,
        "data_source": "Mono3DRefer",
        "scene_name": "000968",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.7], \"boxes_2d\": [[592.53, 176.62, 628.22, 200.99]], \"boxes_3d\": [[1.44, 1.68, 4.39, 0.05, 1.69, 45.14]], \"ry\": [1.7]}\n```"
            }
        ]
    },
    {
        "id": 390,
        "data_source": "Mono3DRefer",
        "scene_name": "000973",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.94], \"boxes_2d\": [[746.37, 192.28, 1016.45, 356.87]], \"boxes_3d\": [[1.52, 1.54, 4.5, 3.06, 1.82, 9.35]], \"ry\": [-1.63]}\n```"
            }
        ]
    },
    {
        "id": 391,
        "data_source": "Mono3DRefer",
        "scene_name": "000974",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.58, 1.89], \"boxes_2d\": [[600.07, 176.31, 629.48, 204.63], [356.61, 184.82, 406.28, 212.61]], \"boxes_3d\": [[1.66, 1.73, 3.05, 0.26, 1.89, 44.36], [1.44, 1.63, 3.43, -12.7, 2.13, 40.17]], \"ry\": [-1.57, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 392,
        "data_source": "Mono3DRefer",
        "scene_name": "000976",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.71, 1.74, -1.05], \"boxes_2d\": [[400.47, 183.04, 525.97, 278.57], [502.14, 169.74, 576.7, 224.18], [637.33, 171.85, 686.64, 201.83]], \"boxes_3d\": [[1.46, 1.63, 4.47, -2.61, 1.67, 13.57], [1.7, 1.82, 4.45, -2.36, 1.63, 24.91], [1.57, 1.56, 2.62, 2.83, 1.53, 39.36]], \"ry\": [1.53, 1.65, -0.97]}\n```"
            }
        ]
    },
    {
        "id": 393,
        "data_source": "Mono3DRefer",
        "scene_name": "000977",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.2, -0.65, 1.83, 1.93, 1.37, 1.79, 1.7, 1.66, -1.48, -0.15, -0.99], \"boxes_2d\": [[0.0, 202.07, 257.92, 374.0], [1072.59, 111.3, 1241.0, 225.67], [379.22, 189.75, 492.79, 260.4], [209.32, 188.44, 436.01, 317.25], [733.72, 170.63, 819.1, 224.14], [453.38, 182.82, 528.33, 235.57], [504.67, 184.58, 552.34, 222.41], [517.73, 184.08, 560.68, 216.71], [645.72, 178.52, 689.2, 214.05], [725.27, 170.78, 849.39, 213.34], [687.44, 176.24, 740.44, 205.07]], \"boxes_3d\": [[1.58, 1.76, 4.18, -4.4, 1.86, 5.18], [1.9, 1.78, 4.72, 11.22, 0.87, 12.9], [1.42, 1.67, 3.8, -4.02, 1.86, 17.11], [1.55, 1.71, 4.5, -4.21, 1.83, 11.32], [1.5, 1.71, 4.44, 5.05, 1.47, 22.63], [1.54, 1.63, 3.59, -3.8, 1.88, 23.29], [1.42, 1.46, 3.63, -3.32, 1.92, 29.57], [1.43, 1.66, 4.19, -3.37, 1.99, 34.66], [1.58, 1.71, 3.75, 2.74, 1.86, 34.17], [1.49, 1.57, 4.26, 6.46, 1.45, 26.76], [1.61, 1.6, 3.11, 6.08, 1.82, 42.18]], \"ry\": [1.52, 0.05, 1.6, 1.58, 1.59, 1.63, 1.59, 1.57, -1.4, 0.08, -0.84]}\n```"
            }
        ]
    },
    {
        "id": 394,
        "data_source": "Mono3DRefer",
        "scene_name": "000978",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.61, 1.7], \"boxes_2d\": [[439.76, 194.95, 517.78, 270.88], [476.47, 194.86, 535.3, 245.55]], \"boxes_3d\": [[1.65, 1.75, 3.39, -3.28, 2.25, 18.27], [1.57, 1.54, 4.01, -3.67, 2.4, 25.72]], \"ry\": [1.43, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 395,
        "data_source": "Mono3DRefer",
        "scene_name": "000983",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.72, -1.4, 1.51, -2.62, 1.75, -1.91], \"boxes_2d\": [[715.8, 190.09, 860.92, 299.6], [507.7, 181.68, 570.26, 223.46], [642.75, 178.07, 673.96, 204.16], [26.26, 168.08, 342.31, 270.94], [448.21, 171.65, 541.42, 246.52], [776.6, 184.16, 1088.58, 374.0]], \"boxes_3d\": [[1.37, 1.59, 3.22, 2.51, 1.66, 10.99], [1.4, 1.67, 3.72, -2.56, 1.74, 26.46], [1.49, 1.61, 3.74, 2.84, 1.81, 43.42], [1.59, 1.63, 4.43, -7.13, 1.55, 12.29], [1.7, 1.63, 4.08, -2.88, 1.7, 18.58], [1.59, 1.59, 2.47, 2.45, 1.7, 6.17]], \"ry\": [-1.51, -1.5, 1.57, -3.13, 1.6, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 396,
        "data_source": "Mono3DRefer",
        "scene_name": "000989",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.81], \"boxes_2d\": [[424.49, 177.87, 501.36, 222.53]], \"boxes_3d\": [[1.42, 1.78, 3.62, -4.73, 1.31, 24.93]], \"ry\": [1.62]}\n```"
            }
        ]
    },
    {
        "id": 397,
        "data_source": "Mono3DRefer",
        "scene_name": "000993",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.32], \"boxes_2d\": [[757.58, 174.01, 829.51, 202.22]], \"boxes_3d\": [[1.62, 1.72, 4.35, 11.09, 1.72, 43.98]], \"ry\": [-2.07]}\n```"
            }
        ]
    },
    {
        "id": 398,
        "data_source": "Mono3DRefer",
        "scene_name": "001000",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.69, -1.62, 1.68], \"boxes_2d\": [[798.93, 169.95, 1060.55, 250.42], [561.02, 184.64, 587.94, 208.4], [468.53, 187.25, 501.75, 210.97]], \"boxes_3d\": [[1.47, 1.77, 4.49, 6.27, 1.45, 14.55], [1.52, 1.62, 4.5, -2.5, 2.35, 49.56], [1.42, 1.66, 4.5, -8.15, 2.39, 47.26]], \"ry\": [3.09, -1.67, 1.51]}\n```"
            }
        ]
    },
    {
        "id": 399,
        "data_source": "Mono3DRefer",
        "scene_name": "001001",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.56], \"boxes_2d\": [[400.58, 191.83, 441.15, 230.23]], \"boxes_3d\": [[1.65, 1.75, 3.39, -8.99, 2.58, 34.09]], \"ry\": [1.3]}\n```"
            }
        ]
    },
    {
        "id": 400,
        "data_source": "Mono3DRefer",
        "scene_name": "001002",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, 1.83, 1.69, 1.71, 1.7], \"boxes_2d\": [[607.09, 174.99, 647.58, 215.65], [391.06, 187.26, 506.26, 256.04], [467.49, 180.33, 530.42, 228.14], [511.35, 178.6, 554.75, 207.95], [541.3, 172.58, 569.78, 194.45]], \"boxes_3d\": [[1.57, 1.56, 2.62, 0.68, 1.68, 29.48], [1.43, 1.68, 4.19, -3.82, 1.81, 17.63], [1.46, 1.59, 4.27, -3.71, 1.72, 24.45], [1.38, 1.62, 4.06, -3.85, 1.68, 36.35], [1.49, 1.53, 3.88, -3.88, 1.5, 51.64]], \"ry\": [-1.54, 1.62, 1.54, 1.6, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 401,
        "data_source": "Mono3DRefer",
        "scene_name": "001003",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.75, -0.73, -2.74, -3.01, -0.4, -0.5], \"boxes_2d\": [[0.0, 206.78, 324.17, 374.0], [926.19, 141.69, 1241.0, 374.0], [273.5, 182.7, 480.59, 250.25], [362.85, 181.79, 516.48, 230.7], [823.68, 170.37, 1060.18, 271.26], [852.36, 170.37, 1231.56, 296.98]], \"boxes_3d\": [[1.38, 1.66, 4.38, -5.02, 1.72, 6.21], [1.74, 1.66, 4.37, 4.71, 1.56, 5.01], [1.47, 1.67, 4.28, -5.39, 1.72, 16.83], [1.38, 1.67, 4.37, -5.13, 1.67, 22.04], [1.54, 1.58, 3.2, 5.36, 1.53, 12.03], [1.51, 1.72, 4.03, 5.52, 1.51, 9.68]], \"ry\": [0.09, -0.0, -3.05, 3.05, 0.01, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 402,
        "data_source": "Mono3DRefer",
        "scene_name": "001005",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.81], \"boxes_2d\": [[709.89, 170.92, 835.41, 263.18]], \"boxes_3d\": [[1.64, 1.69, 3.3, 3.12, 1.63, 14.64]], \"ry\": [-1.6]}\n```"
            }
        ]
    },
    {
        "id": 403,
        "data_source": "Mono3DRefer",
        "scene_name": "001008",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.63], \"boxes_2d\": [[610.08, 162.36, 649.92, 195.49]], \"boxes_3d\": [[1.49, 1.68, 4.08, 1.43, 0.62, 34.68]], \"ry\": [1.66]}\n```"
            }
        ]
    },
    {
        "id": 404,
        "data_source": "Mono3DRefer",
        "scene_name": "001009",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.45, -1.49, -1.54, 1.81, -1.52], \"boxes_2d\": [[525.22, 169.11, 574.76, 207.01], [555.11, 170.81, 587.12, 196.89], [609.38, 165.49, 640.33, 193.27], [398.33, 172.98, 477.3, 222.57], [581.42, 164.08, 605.69, 186.52]], \"boxes_3d\": [[1.47, 1.59, 4.03, -2.1, 0.99, 30.15], [1.41, 1.54, 3.36, -1.68, 0.83, 40.86], [1.52, 1.67, 4.38, 1.43, 0.64, 42.05], [1.44, 1.55, 3.93, -5.15, 1.19, 23.02], [1.56, 1.59, 3.65, -0.52, 0.34, 52.4]], \"ry\": [-1.53, -1.54, -1.51, 1.59, -1.54]}\n```"
            }
        ]
    },
    {
        "id": 405,
        "data_source": "Mono3DRefer",
        "scene_name": "001012",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.04, 1.17, 1.79, -1.73, 1.47, 1.67], \"boxes_2d\": [[0.0, 184.27, 361.81, 374.0], [755.48, 188.1, 1191.01, 374.0], [376.92, 178.87, 498.99, 260.59], [682.87, 187.19, 791.28, 261.44], [654.95, 182.52, 711.84, 226.32], [481.55, 179.45, 536.88, 221.67]], \"boxes_3d\": [[1.52, 1.61, 3.59, -3.47, 1.63, 5.96], [1.51, 1.65, 4.28, 2.62, 1.68, 6.55], [1.48, 1.64, 3.95, -3.49, 1.61, 15.16], [1.35, 1.64, 3.84, 2.56, 1.69, 15.57], [1.42, 1.59, 4.19, 2.52, 1.78, 25.93], [1.42, 1.64, 3.63, -3.65, 1.67, 26.36]], \"ry\": [1.53, 1.53, 1.56, -1.57, 1.57, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 406,
        "data_source": "Mono3DRefer",
        "scene_name": "001018",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.84], \"boxes_2d\": [[716.81, 184.62, 907.47, 300.32]], \"boxes_3d\": [[1.4, 1.61, 4.37, 2.81, 1.6, 11.2]], \"ry\": [-1.6]}\n```"
            }
        ]
    },
    {
        "id": 407,
        "data_source": "Mono3DRefer",
        "scene_name": "001020",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.17, -1.38, -1.56, -1.49, 1.72], \"boxes_2d\": [[3.77, 189.5, 446.2, 373.0], [421.39, 178.87, 521.95, 251.31], [580.76, 170.42, 636.21, 221.0], [534.79, 169.21, 578.81, 207.77], [495.91, 173.14, 531.34, 194.5]], \"boxes_3d\": [[1.47, 1.59, 4.03, -2.61, 1.57, 6.08], [1.41, 1.54, 3.36, -2.76, 1.36, 15.77], [1.52, 1.67, 4.38, 0.23, 1.19, 24.07], [1.56, 1.59, 3.65, -1.89, 1.06, 31.24], [1.34, 1.76, 3.98, -5.78, 0.81, 47.8]], \"ry\": [-1.56, -1.56, -1.56, -1.55, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 408,
        "data_source": "Mono3DRefer",
        "scene_name": "001021",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.71, 2.59, 1.11, 2.68], \"boxes_2d\": [[384.01, 183.15, 468.79, 246.74], [503.59, 176.14, 582.13, 203.3], [343.9, 182.9, 434.63, 222.63], [620.38, 173.53, 701.9, 198.66]], \"boxes_3d\": [[1.41, 1.57, 3.53, -4.56, 1.69, 18.18], [1.47, 1.72, 4.22, -3.87, 1.68, 41.58], [1.42, 1.71, 4.14, -8.74, 1.84, 28.25], [1.48, 1.87, 4.74, 3.18, 1.55, 45.14]], \"ry\": [1.47, 2.5, 0.81, 2.75]}\n```"
            }
        ]
    },
    {
        "id": 409,
        "data_source": "Mono3DRefer",
        "scene_name": "001024",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.19, 2.19, 2.08, 2.01, 2.0, 2.02], \"boxes_2d\": [[0.0, 193.19, 36.95, 231.64], [19.57, 191.48, 118.1, 225.78], [108.31, 186.17, 174.1, 218.0], [161.19, 188.01, 214.59, 213.72], [205.4, 186.39, 258.46, 211.98], [249.91, 183.27, 291.74, 203.43]], \"boxes_3d\": [[1.42, 1.68, 3.38, -24.01, 2.24, 27.55], [1.38, 1.52, 4.0, -24.38, 2.26, 32.63], [1.57, 1.47, 3.35, -24.86, 2.3, 38.33], [1.43, 1.48, 3.33, -25.25, 2.36, 43.22], [1.62, 1.6, 4.18, -25.72, 2.57, 49.18], [1.48, 1.35, 3.93, -26.3, 2.31, 56.03]], \"ry\": [1.48, 1.55, 1.51, 1.48, 1.52, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 410,
        "data_source": "Mono3DRefer",
        "scene_name": "001025",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.64, 1.89], \"boxes_2d\": [[640.98, 186.87, 666.75, 207.47], [190.27, 172.08, 431.56, 317.88]], \"boxes_3d\": [[1.41, 1.58, 4.36, 3.19, 2.47, 53.45], [1.5, 1.62, 4.19, -3.69, 1.52, 9.63]], \"ry\": [-1.58, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 411,
        "data_source": "Mono3DRefer",
        "scene_name": "001026",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.74, 1.61], \"boxes_2d\": [[507.51, 179.15, 576.33, 227.78], [585.47, 174.72, 618.38, 202.34]], \"boxes_3d\": [[1.45, 1.62, 3.83, -2.18, 1.67, 23.62], [1.43, 1.66, 3.67, -0.43, 1.56, 39.73]], \"ry\": [1.64, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 412,
        "data_source": "Mono3DRefer",
        "scene_name": "001028",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.05, -1.88, 2.05, 1.85, -1.57, -1.67, -1.61, -1.6], \"boxes_2d\": [[843.99, 192.18, 1223.0, 369.0], [769.07, 179.09, 959.56, 291.29], [292.4, 170.21, 381.49, 218.81], [516.58, 178.02, 547.04, 196.29], [699.81, 177.29, 751.02, 226.74], [693.18, 180.39, 742.55, 220.34], [684.2, 180.39, 719.96, 212.63], [669.55, 180.1, 692.98, 201.07]], \"boxes_3d\": [[1.4, 1.5, 3.72, 3.39, 1.55, 6.08], [1.52, 1.64, 4.41, 4.08, 1.52, 12.02], [1.85, 1.68, 4.11, -10.96, 1.46, 29.2], [1.49, 1.58, 3.84, -6.24, 1.3, 60.89], [1.54, 1.57, 3.52, 4.05, 1.45, 24.03], [1.5, 1.63, 3.57, 4.55, 1.52, 29.0], [1.47, 1.59, 3.64, 4.75, 1.49, 34.97], [1.44, 1.58, 3.28, 5.55, 1.44, 51.56]], \"ry\": [-1.56, -1.56, 1.7, 1.75, -1.41, -1.51, -1.47, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 413,
        "data_source": "Mono3DRefer",
        "scene_name": "001030",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.87], \"boxes_2d\": [[342.69, 183.4, 455.01, 246.28]], \"boxes_3d\": [[1.51, 1.81, 4.07, -5.68, 1.82, 19.81]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 414,
        "data_source": "Mono3DRefer",
        "scene_name": "001032",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.69, -1.7, -1.86, -2.45], \"boxes_2d\": [[642.26, 171.96, 681.05, 205.41], [666.55, 178.57, 716.49, 215.93], [760.2, 176.26, 833.85, 216.83], [801.12, 175.06, 867.43, 202.44]], \"boxes_3d\": [[1.69, 1.58, 3.95, 2.7, 1.68, 38.83], [1.41, 1.57, 3.23, 3.2, 1.65, 29.15], [1.45, 1.61, 4.2, 7.17, 1.6, 28.19], [1.48, 1.36, 3.51, 12.66, 1.63, 40.98]], \"ry\": [-1.63, -1.59, -1.61, -2.15]}\n```"
            }
        ]
    },
    {
        "id": 415,
        "data_source": "Mono3DRefer",
        "scene_name": "001035",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.01, 1.72, 2.12, -1.74, 1.34, 1.61, 1.71, -1.73, -1.73, -1.7], \"boxes_2d\": [[828.78, 178.35, 1208.26, 374.0], [444.5, 161.47, 548.47, 258.65], [0.0, 209.15, 372.37, 374.0], [714.94, 183.7, 803.06, 240.78], [757.48, 181.76, 896.53, 273.6], [558.23, 173.89, 590.94, 204.8], [494.18, 178.27, 563.23, 233.47], [707.39, 179.35, 768.09, 226.25], [691.03, 178.26, 738.99, 214.08], [679.53, 176.83, 720.43, 208.06]], \"boxes_3d\": [[1.6, 1.65, 3.77, 3.56, 1.67, 7.23], [1.86, 1.63, 4.2, -2.41, 1.67, 16.01], [1.45, 1.46, 3.41, -2.96, 1.77, 4.79], [1.37, 1.61, 4.26, 3.94, 1.69, 19.9], [1.46, 1.44, 4.53, 3.92, 1.65, 13.91], [1.51, 1.55, 3.92, -1.83, 1.59, 37.64], [1.51, 1.55, 3.71, -2.4, 1.69, 21.76], [1.5, 1.53, 3.37, 4.32, 1.74, 25.03], [1.47, 1.56, 3.16, 4.52, 1.72, 31.61], [1.48, 1.56, 3.62, 4.44, 1.69, 36.28]], \"ry\": [-1.57, 1.57, 1.59, -1.55, 1.61, 1.56, 1.6, -1.56, -1.59, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 416,
        "data_source": "Mono3DRefer",
        "scene_name": "001040",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.18, 2.04, 1.82], \"boxes_2d\": [[0.0, 197.78, 215.83, 305.14], [174.04, 191.53, 317.79, 260.89], [412.01, 180.61, 466.15, 213.51]], \"boxes_3d\": [[1.53, 1.66, 4.01, -9.08, 2.03, 12.99], [1.48, 1.6, 3.9, -9.02, 1.99, 18.17], [1.61, 1.67, 4.56, -8.94, 2.03, 37.98]], \"ry\": [1.58, 1.59, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 417,
        "data_source": "Mono3DRefer",
        "scene_name": "001041",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.93, 1.61], \"boxes_2d\": [[92.56, 197.39, 440.65, 374.0], [547.36, 161.37, 575.39, 189.75]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.05, 1.73, 7.35], [1.97, 1.87, 4.53, -3.54, 1.2, 52.85]], \"ry\": [1.55, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 418,
        "data_source": "Mono3DRefer",
        "scene_name": "001042",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.93, 1.85, 1.72, 1.84], \"boxes_2d\": [[288.42, 168.87, 462.44, 274.57], [443.04, 183.24, 538.53, 238.91], [573.12, 180.58, 614.56, 209.28], [655.23, 178.01, 686.05, 195.74]], \"boxes_3d\": [[1.76, 1.77, 4.41, -4.42, 1.72, 14.26], [1.48, 1.65, 4.4, -3.49, 1.81, 21.71], [1.42, 1.66, 3.64, -0.83, 1.83, 37.89], [1.44, 1.64, 3.78, 5.14, 1.89, 60.94]], \"ry\": [1.63, 1.69, 1.69, 1.92]}\n```"
            }
        ]
    },
    {
        "id": 419,
        "data_source": "Mono3DRefer",
        "scene_name": "001045",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.52, -2.37, -2.29, -2.27, -1.48, -1.56], \"boxes_2d\": [[560.18, 179.24, 617.82, 225.04], [90.7, 174.19, 370.46, 294.19], [352.37, 178.09, 478.66, 228.2], [393.5, 179.62, 497.27, 220.82], [515.95, 179.71, 564.03, 210.72], [580.59, 174.91, 619.62, 210.53]], \"boxes_3d\": [[1.36, 1.69, 3.38, -0.65, 1.58, 23.45], [1.66, 1.63, 3.83, -5.95, 1.71, 11.31], [1.45, 1.61, 3.96, -6.2, 1.64, 22.71], [1.36, 1.57, 3.73, -5.95, 1.63, 25.77], [1.25, 1.74, 3.66, -3.01, 1.56, 31.32], [1.52, 1.67, 3.61, -0.47, 1.63, 32.87]], \"ry\": [-1.55, -2.85, -2.56, -2.5, -1.58, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 420,
        "data_source": "Mono3DRefer",
        "scene_name": "001047",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.97], \"boxes_2d\": [[690.66, 173.77, 735.18, 196.56]], \"boxes_3d\": [[1.62, 1.72, 4.35, 7.63, 1.72, 54.05]], \"ry\": [-1.83]}\n```"
            }
        ]
    },
    {
        "id": 421,
        "data_source": "Mono3DRefer",
        "scene_name": "001051",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.62], \"boxes_2d\": [[536.66, 199.09, 576.82, 236.7]], \"boxes_3d\": [[1.5, 1.62, 4.19, -2.43, 2.78, 33.33]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 422,
        "data_source": "Mono3DRefer",
        "scene_name": "001052",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.52, -2.53, -2.35, -2.31, -1.5, -1.55], \"boxes_2d\": [[555.03, 183.98, 611.86, 229.69], [271.15, 176.47, 449.53, 250.64], [402.11, 178.71, 502.87, 217.41], [430.44, 181.84, 515.37, 214.78], [528.28, 181.17, 567.29, 206.89], [578.26, 179.04, 617.44, 214.79]], \"boxes_3d\": [[1.36, 1.69, 3.38, -0.85, 1.75, 23.77], [1.66, 1.63, 3.83, -6.06, 1.77, 17.46], [1.45, 1.61, 3.96, -6.37, 1.71, 28.89], [1.36, 1.57, 3.73, -6.12, 1.78, 31.87], [1.25, 1.74, 3.66, -3.21, 1.69, 37.49], [1.52, 1.67, 3.61, -0.56, 1.81, 32.76]], \"ry\": [-1.56, -2.86, -2.57, -2.5, -1.58, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 423,
        "data_source": "Mono3DRefer",
        "scene_name": "001053",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.87], \"boxes_2d\": [[401.3, 185.01, 440.42, 204.85]], \"boxes_3d\": [[1.46, 1.86, 4.01, -14.8, 2.43, 56.58]], \"ry\": [1.61]}\n```"
            }
        ]
    },
    {
        "id": 424,
        "data_source": "Mono3DRefer",
        "scene_name": "001054",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.63, -1.69, -1.07, -1.26, -1.57, -1.37, -1.25, -1.41, -1.45], \"boxes_2d\": [[518.39, 182.61, 540.51, 200.41], [557.67, 178.77, 643.58, 248.25], [0.0, 200.33, 204.23, 364.62], [177.77, 191.2, 330.99, 274.65], [462.22, 180.88, 514.78, 229.8], [290.34, 184.7, 377.93, 235.37], [186.78, 185.04, 287.71, 233.76], [370.12, 183.27, 417.41, 215.28], [396.72, 183.18, 432.9, 208.54]], \"boxes_3d\": [[1.37, 1.54, 3.56, -6.38, 1.17, 58.22], [1.6, 1.76, 3.84, -0.33, 1.45, 18.74], [1.36, 1.61, 3.76, -6.29, 1.59, 8.17], [1.37, 1.59, 3.89, -6.93, 1.53, 14.45], [1.58, 1.68, 3.95, -4.26, 1.43, 25.49], [1.42, 1.69, 4.53, -8.64, 1.42, 22.99], [1.42, 1.7, 4.13, -12.06, 1.43, 23.62], [1.42, 1.53, 4.2, -10.3, 1.34, 34.77], [1.43, 1.62, 4.08, -11.64, 1.32, 43.49]], \"ry\": [-1.74, -1.71, -1.71, -1.7, -1.74, -1.72, -1.72, -1.7, -1.71]}\n```"
            }
        ]
    },
    {
        "id": 425,
        "data_source": "Mono3DRefer",
        "scene_name": "001055",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.0, -1.81, 2.51, -0.86, -0.96, -0.97, -1.08], \"boxes_2d\": [[735.24, 163.66, 999.61, 327.36], [599.45, 166.52, 671.97, 213.45], [541.77, 159.23, 614.13, 189.88], [663.51, 158.74, 741.24, 192.66], [723.59, 158.16, 793.2, 188.28], [786.44, 159.5, 838.94, 184.85], [823.11, 156.24, 885.88, 185.7]], \"boxes_3d\": [[1.51, 1.53, 3.38, 2.7, 1.45, 8.49], [1.39, 1.54, 3.42, 0.72, 1.22, 23.3], [1.56, 1.39, 3.73, -1.7, 0.87, 38.41], [1.56, 1.67, 3.78, 4.49, 0.92, 35.01], [1.5, 1.53, 4.04, 7.81, 0.78, 37.92], [1.38, 1.28, 3.16, 11.45, 0.66, 40.78], [1.7, 1.7, 4.46, 14.91, 0.75, 43.94]], \"ry\": [-1.7, -1.78, 2.47, -0.74, -0.76, -0.7, -0.76]}\n```"
            }
        ]
    },
    {
        "id": 426,
        "data_source": "Mono3DRefer",
        "scene_name": "001056",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.65, -1.72, -1.94, -1.85], \"boxes_2d\": [[632.12, 175.57, 656.04, 195.95], [671.51, 180.94, 737.14, 229.57], [776.62, 182.77, 1023.94, 326.48], [734.15, 176.1, 791.67, 209.15]], \"boxes_3d\": [[1.42, 1.45, 3.2, 2.42, 1.63, 52.3], [1.38, 1.49, 3.32, 2.81, 1.64, 22.37], [1.5, 1.62, 3.89, 3.51, 1.65, 9.66], [1.44, 1.56, 3.96, 7.06, 1.61, 33.81]], \"ry\": [-1.61, -1.6, -1.6, -1.65]}\n```"
            }
        ]
    },
    {
        "id": 427,
        "data_source": "Mono3DRefer",
        "scene_name": "001059",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.08, 2.16, 2.07], \"boxes_2d\": [[40.81, 193.18, 113.18, 224.54], [102.06, 187.62, 176.88, 217.77], [169.45, 188.93, 221.66, 212.52]], \"boxes_3d\": [[1.43, 1.48, 3.33, -26.77, 2.49, 36.31], [1.62, 1.6, 4.18, -27.47, 2.51, 42.23], [1.48, 1.35, 3.93, -28.17, 2.61, 49.11]], \"ry\": [1.45, 1.59, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 428,
        "data_source": "Mono3DRefer",
        "scene_name": "001061",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.5, 1.65], \"boxes_2d\": [[742.25, 181.65, 775.99, 206.43], [655.01, 180.18, 688.71, 206.81]], \"boxes_3d\": [[1.48, 1.8, 4.31, 9.56, 2.07, 46.14], [1.69, 1.88, 4.5, 4.19, 2.19, 48.52]], \"ry\": [-1.3, 1.74]}\n```"
            }
        ]
    },
    {
        "id": 429,
        "data_source": "Mono3DRefer",
        "scene_name": "001063",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.07, 1.99, 1.85], \"boxes_2d\": [[136.2, 186.67, 270.96, 244.93], [296.43, 182.68, 351.66, 209.12], [407.23, 180.3, 440.69, 200.21]], \"boxes_3d\": [[1.62, 1.86, 4.31, -12.73, 2.08, 22.88], [1.67, 1.82, 4.42, -19.29, 2.36, 48.81], [1.63, 1.87, 3.47, -15.86, 2.28, 61.59]], \"ry\": [1.57, 1.61, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 430,
        "data_source": "Mono3DRefer",
        "scene_name": "001064",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.27], \"boxes_2d\": [[746.23, 174.82, 800.49, 199.56]], \"boxes_3d\": [[1.48, 1.36, 3.51, 10.17, 1.63, 45.23]], \"ry\": [-2.05]}\n```"
            }
        ]
    },
    {
        "id": 431,
        "data_source": "Mono3DRefer",
        "scene_name": "001072",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.7, -1.89, -1.83, -2.02], \"boxes_2d\": [[656.07, 177.53, 695.54, 208.95], [750.57, 189.07, 936.56, 306.8], [748.14, 177.09, 802.09, 211.97], [837.99, 179.42, 970.43, 242.09]], \"boxes_3d\": [[1.42, 1.45, 3.2, 3.07, 1.66, 34.5], [1.38, 1.49, 3.32, 3.13, 1.64, 10.46], [1.43, 1.48, 3.25, 7.14, 1.63, 31.6], [1.44, 1.56, 3.96, 7.45, 1.62, 18.79]], \"ry\": [-1.61, -1.61, -1.61, -1.65]}\n```"
            }
        ]
    },
    {
        "id": 432,
        "data_source": "Mono3DRefer",
        "scene_name": "001073",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.95], \"boxes_2d\": [[424.06, 178.06, 498.55, 206.9]], \"boxes_3d\": [[1.49, 1.64, 3.7, -8.05, 1.8, 39.14]], \"ry\": [3.13]}\n```"
            }
        ]
    },
    {
        "id": 433,
        "data_source": "Mono3DRefer",
        "scene_name": "001074",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.87], \"boxes_2d\": [[745.63, 161.59, 934.82, 292.77]], \"boxes_3d\": [[1.64, 1.69, 3.3, 3.18, 1.52, 10.78]], \"ry\": [-1.59]}\n```"
            }
        ]
    },
    {
        "id": 434,
        "data_source": "Mono3DRefer",
        "scene_name": "001081",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.73, -2.45], \"boxes_2d\": [[668.53, 174.31, 696.2, 192.73], [799.54, 175.15, 865.73, 202.49]], \"boxes_3d\": [[1.45, 1.61, 4.2, 5.92, 1.6, 59.52], [1.48, 1.36, 3.51, 12.59, 1.63, 41.05]], \"ry\": [-1.63, -2.16]}\n```"
            }
        ]
    },
    {
        "id": 435,
        "data_source": "Mono3DRefer",
        "scene_name": "001086",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.63, 0.88, 1.7, -1.71, -1.7], \"boxes_2d\": [[537.06, 185.61, 571.09, 214.71], [902.8, 189.59, 1241.0, 374.0], [444.61, 192.53, 530.53, 263.48], [670.34, 179.86, 761.93, 254.1], [660.0, 188.58, 723.99, 238.4]], \"boxes_3d\": [[1.55, 1.68, 4.42, -3.22, 2.31, 41.86], [1.55, 1.47, 3.36, 2.78, 1.66, 3.33], [1.46, 1.6, 3.33, -2.87, 1.97, 17.27], [1.64, 1.7, 3.54, 2.48, 1.82, 17.89], [1.37, 1.51, 3.39, 2.42, 1.88, 22.31]], \"ry\": [1.56, 1.54, 1.53, -1.58, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 436,
        "data_source": "Mono3DRefer",
        "scene_name": "001087",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.63, 0.96, 2.87, -0.2, -0.03], \"boxes_2d\": [[582.56, 180.78, 614.75, 208.09], [1005.15, 189.01, 1241.0, 338.95], [701.04, 177.18, 853.58, 230.51], [696.84, 177.67, 829.09, 223.96], [674.65, 179.84, 778.42, 215.47]], \"boxes_3d\": [[1.43, 1.55, 3.91, -0.7, 1.88, 40.17], [1.45, 1.51, 3.7, 6.7, 1.68, 9.09], [1.51, 1.65, 4.21, 4.97, 1.67, 21.93], [1.48, 1.49, 4.16, 5.09, 1.67, 24.51], [1.51, 1.69, 4.42, 5.09, 1.84, 32.05]], \"ry\": [-1.64, 1.58, 3.09, 0.0, 0.12]}\n```"
            }
        ]
    },
    {
        "id": 437,
        "data_source": "Mono3DRefer",
        "scene_name": "001107",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.75, 1.44, -2.95, -0.47], \"boxes_2d\": [[0.0, 221.17, 281.48, 374.0], [647.48, 177.36, 726.98, 239.27], [417.0, 178.0, 514.79, 211.01], [918.26, 159.56, 1211.09, 264.51]], \"boxes_3d\": [[1.4, 1.67, 3.72, -2.99, 1.7, 2.68], [1.49, 1.61, 3.74, 1.94, 1.62, 19.4], [1.47, 1.68, 4.26, -6.76, 1.74, 33.95], [1.84, 1.6, 4.46, 8.4, 1.64, 13.7]], \"ry\": [-1.55, 1.54, -3.14, 0.07]}\n```"
            }
        ]
    },
    {
        "id": 438,
        "data_source": "Mono3DRefer",
        "scene_name": "001112",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [0.38, -2.71, 1.42], \"boxes_2d\": [[210.92, 184.56, 376.98, 246.45], [292.45, 184.87, 419.77, 231.99], [894.3, 162.15, 932.76, 185.75]], \"boxes_3d\": [[1.52, 1.64, 3.7, -8.36, 1.86, 19.2], [1.5, 1.62, 3.69, -8.53, 1.92, 24.27], [1.51, 1.7, 4.45, 20.49, 0.85, 48.89]], \"ry\": [-0.03, -3.05, 1.81]}\n```"
            }
        ]
    },
    {
        "id": 439,
        "data_source": "Mono3DRefer",
        "scene_name": "001119",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.13, -1.01], \"boxes_2d\": [[247.64, 202.13, 366.05, 265.63], [152.18, 201.88, 304.6, 268.48]], \"boxes_3d\": [[1.39, 1.59, 3.17, -7.74, 2.2, 18.61], [1.46, 1.55, 4.28, -10.1, 2.31, 19.41]], \"ry\": [-1.52, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 440,
        "data_source": "Mono3DRefer",
        "scene_name": "001121",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.46, 1.71], \"boxes_2d\": [[351.45, 188.33, 386.78, 215.92], [356.52, 189.69, 472.74, 276.51]], \"boxes_3d\": [[1.65, 1.75, 3.39, -15.45, 2.66, 46.13], [1.47, 1.7, 4.39, -3.94, 1.85, 15.06]], \"ry\": [1.13, 1.46]}\n```"
            }
        ]
    },
    {
        "id": 441,
        "data_source": "Mono3DRefer",
        "scene_name": "001122",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.96, 1.93], \"boxes_2d\": [[325.84, 178.85, 371.06, 202.22], [354.4, 180.4, 396.96, 199.57]], \"boxes_3d\": [[1.58, 1.64, 3.88, -18.52, 2.02, 51.19], [1.43, 1.81, 4.16, -18.34, 2.03, 56.6]], \"ry\": [1.62, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 442,
        "data_source": "Mono3DRefer",
        "scene_name": "001125",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.48, -2.4, -2.72, -2.96, -2.92, 0.18], \"boxes_2d\": [[947.8, 162.36, 1241.0, 336.23], [0.0, 188.69, 137.68, 349.48], [144.52, 180.03, 400.86, 260.91], [288.24, 169.08, 471.42, 242.12], [423.46, 173.62, 499.82, 208.12], [441.13, 172.79, 526.21, 207.02]], \"boxes_3d\": [[1.76, 1.71, 4.4, 6.45, 1.66, 8.29], [1.4, 1.46, 3.23, -6.79, 1.58, 7.09], [1.46, 1.61, 4.31, -6.57, 1.63, 14.25], [1.8, 1.77, 4.41, -6.06, 1.74, 19.31], [1.58, 1.54, 3.3, -7.08, 1.64, 34.47], [1.68, 1.71, 4.07, -6.49, 1.71, 37.19]], \"ry\": [3.12, 3.14, -3.14, 3.02, -3.12, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 443,
        "data_source": "Mono3DRefer",
        "scene_name": "001126",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.61, 1.46], \"boxes_2d\": [[442.17, 174.06, 494.78, 227.32], [447.24, 180.03, 487.94, 208.86]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.88, 1.75, 25.04], [1.47, 1.7, 4.39, -7.87, 1.88, 39.46]], \"ry\": [1.42, 1.27]}\n```"
            }
        ]
    },
    {
        "id": 444,
        "data_source": "Mono3DRefer",
        "scene_name": "001128",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.66, -1.74, -2.05, -2.71], \"boxes_2d\": [[638.63, 178.15, 673.6, 206.26], [676.8, 177.34, 747.4, 228.05], [834.68, 162.34, 1241.0, 374.0], [911.0, 177.09, 996.49, 209.04]], \"boxes_3d\": [[1.38, 1.49, 3.32, 2.32, 1.67, 37.43], [1.5, 1.62, 3.89, 3.21, 1.67, 23.59], [1.69, 1.58, 3.95, 3.61, 1.65, 7.05], [1.48, 1.36, 3.51, 16.76, 1.71, 35.34]], \"ry\": [-1.6, -1.6, -1.59, -2.27]}\n```"
            }
        ]
    },
    {
        "id": 445,
        "data_source": "Mono3DRefer",
        "scene_name": "001134",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.87, 1.85, -1.56], \"boxes_2d\": [[421.55, 190.86, 543.65, 265.57], [617.33, 180.64, 665.18, 208.59], [769.8, 177.81, 796.17, 199.46]], \"boxes_3d\": [[1.42, 1.66, 3.64, -2.75, 1.86, 16.15], [1.44, 1.64, 3.78, 1.74, 1.88, 39.58], [1.45, 1.71, 3.93, 12.13, 1.81, 50.62]], \"ry\": [1.7, 1.89, -1.32]}\n```"
            }
        ]
    },
    {
        "id": 446,
        "data_source": "Mono3DRefer",
        "scene_name": "001135",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.77], \"boxes_2d\": [[688.83, 190.67, 812.75, 275.74]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.66, 1.81, 14.81]], \"ry\": [-1.6]}\n```"
            }
        ]
    },
    {
        "id": 447,
        "data_source": "Mono3DRefer",
        "scene_name": "001137",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.63, 2.25], \"boxes_2d\": [[817.46, 171.98, 888.89, 232.04], [120.62, 186.63, 420.87, 306.75]], \"boxes_3d\": [[1.56, 1.65, 3.69, 6.84, 1.56, 20.71], [1.42, 1.67, 4.53, -4.93, 1.67, 11.24]], \"ry\": [-1.32, 1.85]}\n```"
            }
        ]
    },
    {
        "id": 448,
        "data_source": "Mono3DRefer",
        "scene_name": "001147",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.77, -1.78, -1.73, 1.64], \"boxes_2d\": [[364.27, 187.73, 505.2, 294.06], [698.25, 175.68, 847.78, 289.35], [677.84, 182.79, 768.35, 249.36], [528.88, 177.16, 568.53, 210.21]], \"boxes_3d\": [[1.46, 1.6, 3.33, -2.78, 1.73, 11.93], [1.64, 1.7, 3.54, 2.55, 1.71, 12.3], [1.37, 1.51, 3.39, 2.49, 1.61, 16.82], [1.55, 1.68, 4.42, -3.06, 1.79, 36.44]], \"ry\": [1.54, -1.58, -1.59, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 449,
        "data_source": "Mono3DRefer",
        "scene_name": "001150",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.93, -2.31, -1.97, 1.86, -1.81], \"boxes_2d\": [[251.16, 183.07, 401.23, 270.98], [962.46, 190.79, 1241.0, 374.0], [767.57, 180.19, 1035.7, 330.57], [347.16, 179.67, 455.37, 245.41], [729.47, 177.45, 854.94, 261.92]], \"boxes_3d\": [[1.45, 1.6, 3.2, -5.3, 1.66, 13.76], [1.51, 1.61, 3.51, 3.4, 1.63, 3.57], [1.49, 1.68, 3.8, 3.32, 1.6, 9.18], [1.49, 1.63, 3.68, -5.23, 1.68, 18.41], [1.49, 1.61, 3.55, 3.51, 1.6, 14.67]], \"ry\": [1.57, -1.59, -1.63, 1.59, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 450,
        "data_source": "Mono3DRefer",
        "scene_name": "001152",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.76], \"boxes_2d\": [[460.16, 183.49, 498.25, 210.07]], \"boxes_3d\": [[1.51, 1.51, 4.15, -7.93, 2.17, 43.87]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 451,
        "data_source": "Mono3DRefer",
        "scene_name": "001154",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.06, 1.87], \"boxes_2d\": [[189.45, 194.3, 279.52, 229.9], [363.95, 184.94, 408.43, 209.97]], \"boxes_3d\": [[1.39, 1.82, 4.11, -16.66, 2.4, 32.19], [1.45, 1.64, 3.61, -13.88, 2.22, 44.83]], \"ry\": [1.59, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 452,
        "data_source": "Mono3DRefer",
        "scene_name": "001159",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.64, -1.73, -1.77, -1.99, -2.47], \"boxes_2d\": [[627.62, 174.34, 653.79, 195.78], [666.21, 171.23, 725.87, 220.32], [712.38, 181.73, 806.6, 246.92], [854.3, 179.29, 1003.62, 249.14], [807.36, 175.17, 874.98, 202.85]], \"boxes_3d\": [[1.5, 1.62, 3.89, 2.21, 1.64, 53.1], [1.69, 1.58, 3.95, 3.12, 1.66, 27.09], [1.41, 1.57, 3.23, 3.47, 1.63, 17.45], [1.45, 1.61, 4.2, 7.37, 1.61, 17.25], [1.48, 1.36, 3.51, 12.92, 1.63, 40.55]], \"ry\": [-1.6, -1.62, -1.58, -1.6, -2.17]}\n```"
            }
        ]
    },
    {
        "id": 453,
        "data_source": "Mono3DRefer",
        "scene_name": "001163",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.17, -2.15, 1.89, 1.31, 1.72, 1.45, 1.66, -1.62], \"boxes_2d\": [[0.0, 186.86, 396.73, 374.0], [849.87, 210.66, 1241.0, 374.0], [257.95, 174.6, 467.69, 308.08], [726.68, 194.68, 953.71, 341.56], [448.79, 172.79, 525.44, 234.0], [675.51, 179.09, 740.3, 225.31], [496.51, 175.41, 553.08, 216.73], [651.36, 174.08, 680.72, 200.21]], \"boxes_3d\": [[1.45, 1.67, 4.43, -2.92, 1.57, 4.4], [1.47, 1.59, 3.62, 2.83, 1.78, 4.28], [1.56, 1.68, 3.69, -3.33, 1.61, 10.35], [1.44, 1.64, 4.5, 2.75, 1.79, 9.86], [1.46, 1.51, 3.24, -3.19, 1.48, 19.01], [1.38, 1.59, 4.19, 3.1, 1.59, 23.83], [1.38, 1.69, 3.74, -3.06, 1.49, 26.22], [1.51, 1.56, 3.81, 3.35, 1.61, 44.0]], \"ry\": [1.61, -1.6, 1.59, 1.57, 1.55, 1.58, 1.55, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 454,
        "data_source": "Mono3DRefer",
        "scene_name": "001167",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.97], \"boxes_2d\": [[286.97, 181.64, 356.33, 215.7]], \"boxes_3d\": [[1.58, 1.82, 3.87, -14.29, 2.03, 35.91]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 455,
        "data_source": "Mono3DRefer",
        "scene_name": "001170",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.39, -2.01, -0.65, -0.45, 1.66, 1.63], \"boxes_2d\": [[530.92, 164.0, 607.15, 221.47], [68.64, 216.47, 186.07, 292.35], [1057.51, 144.42, 1241.0, 260.09], [883.53, 146.24, 1176.18, 233.16], [591.91, 161.74, 633.34, 196.46], [639.3, 159.22, 660.87, 176.18]], \"boxes_3d\": [[1.77, 1.75, 4.67, -1.32, 1.53, 24.69], [1.72, 1.39, 3.07, -12.72, 2.93, 18.91], [1.48, 1.63, 3.98, 8.72, 1.12, 10.06], [1.47, 1.52, 4.43, 7.51, 1.04, 13.28], [1.6, 1.68, 3.94, 0.15, 1.11, 35.48], [1.42, 1.66, 4.11, 3.58, 0.28, 64.15]], \"ry\": [-1.44, -2.6, 0.05, 0.06, 1.66, 1.68]}\n```"
            }
        ]
    },
    {
        "id": 456,
        "data_source": "Mono3DRefer",
        "scene_name": "001172",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.55, 2.35, 1.91, 1.81, 1.77, 1.74], \"boxes_2d\": [[688.7, 177.89, 741.62, 229.33], [0.0, 183.0, 237.63, 328.11], [422.24, 181.85, 517.79, 229.18], [520.91, 181.34, 575.0, 215.41], [559.4, 179.49, 598.95, 207.75], [586.81, 179.17, 617.43, 202.78]], \"boxes_3d\": [[1.65, 1.67, 3.64, 3.64, 1.84, 25.06], [1.47, 1.57, 4.24, -6.86, 1.62, 9.1], [1.4, 1.68, 4.45, -4.54, 1.71, 23.91], [1.45, 1.62, 3.77, -2.81, 1.86, 33.09], [1.53, 1.46, 4.18, -1.75, 1.92, 41.48], [1.59, 1.57, 3.39, -0.54, 2.04, 50.54]], \"ry\": [-1.41, 1.71, 1.73, 1.72, 1.73, 1.73]}\n```"
            }
        ]
    },
    {
        "id": 457,
        "data_source": "Mono3DRefer",
        "scene_name": "001181",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.81, -1.75, 1.95, -1.54], \"boxes_2d\": [[878.21, 187.77, 1046.06, 296.43], [850.53, 178.02, 960.06, 250.62], [554.79, 169.57, 604.09, 200.54], [814.28, 175.57, 857.46, 215.94]], \"boxes_3d\": [[1.4, 1.5, 3.72, 5.54, 1.56, 11.5], [1.52, 1.64, 4.41, 7.16, 1.48, 17.34], [1.85, 1.68, 4.11, -1.54, 1.19, 44.51], [1.54, 1.57, 3.52, 9.51, 1.35, 29.04]], \"ry\": [-1.37, -1.36, 1.91, -1.23]}\n```"
            }
        ]
    },
    {
        "id": 458,
        "data_source": "Mono3DRefer",
        "scene_name": "001182",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.03, -1.78, -1.48, -1.46], \"boxes_2d\": [[837.61, 172.88, 1241.0, 374.0], [729.53, 172.17, 838.72, 242.25], [569.62, 181.28, 617.14, 214.34], [594.87, 178.04, 630.43, 204.81]], \"boxes_3d\": [[1.46, 1.41, 3.63, 3.18, 1.48, 6.13], [1.42, 1.55, 4.36, 3.88, 1.44, 16.95], [1.33, 1.71, 4.09, -0.7, 1.72, 31.65], [1.42, 1.53, 4.12, 0.17, 1.73, 40.79]], \"ry\": [-1.58, -1.56, -1.5, -1.45]}\n```"
            }
        ]
    },
    {
        "id": 459,
        "data_source": "Mono3DRefer",
        "scene_name": "001185",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.73, -1.72, 1.92, -1.57], \"boxes_2d\": [[1033.65, 191.58, 1183.93, 292.52], [1027.66, 184.43, 1143.76, 259.3], [757.36, 175.72, 800.92, 203.38], [998.75, 181.33, 1047.09, 223.41]], \"boxes_3d\": [[1.4, 1.5, 3.72, 8.61, 1.64, 12.43], [1.52, 1.64, 4.41, 11.58, 1.66, 17.36], [1.85, 1.68, 4.11, 12.4, 1.54, 50.11], [1.54, 1.57, 3.52, 16.79, 1.6, 28.48]], \"ry\": [-1.13, -1.14, 2.16, -1.05]}\n```"
            }
        ]
    },
    {
        "id": 460,
        "data_source": "Mono3DRefer",
        "scene_name": "001190",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.99, 1.73, -1.69, -1.73, -1.7, -1.66, 1.64], \"boxes_2d\": [[783.71, 202.46, 1241.0, 374.0], [484.75, 180.78, 565.81, 247.79], [734.93, 195.8, 865.22, 309.76], [694.19, 186.78, 779.63, 261.05], [666.01, 185.66, 732.21, 239.34], [647.68, 184.95, 688.85, 218.59], [574.33, 176.12, 602.26, 204.66]], \"boxes_3d\": [[1.53, 1.59, 3.64, 2.51, 1.82, 5.42], [1.63, 1.6, 3.73, -2.24, 1.85, 19.57], [1.45, 1.5, 3.26, 2.79, 1.85, 11.34], [1.59, 1.49, 3.34, 2.95, 1.95, 17.56], [1.54, 1.6, 3.52, 2.72, 1.97, 22.99], [1.48, 1.6, 3.79, 2.71, 2.08, 34.57], [1.91, 1.66, 4.22, -1.5, 2.16, 50.71]], \"ry\": [-1.58, 1.61, -1.46, -1.56, -1.59, -1.59, 1.61]}\n```"
            }
        ]
    },
    {
        "id": 461,
        "data_source": "Mono3DRefer",
        "scene_name": "001192",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.8, -1.76, 1.61], \"boxes_2d\": [[722.77, 184.99, 871.99, 290.89], [688.02, 180.19, 788.51, 252.97], [509.48, 179.58, 550.05, 219.25]], \"boxes_3d\": [[1.51, 1.56, 3.81, 3.0, 1.74, 12.46], [1.57, 1.68, 3.83, 2.98, 1.76, 17.71], [1.52, 1.5, 3.85, -3.3, 1.81, 29.83]], \"ry\": [-1.57, -1.59, 1.5]}\n```"
            }
        ]
    },
    {
        "id": 462,
        "data_source": "Mono3DRefer",
        "scene_name": "001194",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.73], \"boxes_2d\": [[497.85, 179.81, 525.14, 199.42]], \"boxes_3d\": [[1.51, 1.51, 4.15, -7.91, 2.08, 58.06]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 463,
        "data_source": "Mono3DRefer",
        "scene_name": "001197",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.66], \"boxes_2d\": [[507.05, 177.97, 545.05, 210.62]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.63, 2.0, 40.04]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 464,
        "data_source": "Mono3DRefer",
        "scene_name": "001201",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.23, 2.17, 2.06, 2.01, 1.99, 1.97], \"boxes_2d\": [[0.0, 184.07, 85.04, 234.86], [67.31, 185.31, 179.24, 223.52], [180.29, 180.89, 257.37, 211.35], [247.13, 180.1, 299.93, 206.28], [288.3, 180.41, 335.64, 202.72], [354.14, 177.17, 388.21, 197.06]], \"boxes_3d\": [[1.58, 1.64, 3.88, -20.09, 1.98, 24.52], [1.43, 1.81, 4.16, -20.09, 1.97, 29.96], [1.47, 1.67, 4.31, -20.22, 1.9, 37.44], [1.48, 1.44, 3.59, -20.01, 1.92, 42.98], [1.42, 1.68, 3.38, -19.91, 1.94, 48.27], [1.57, 1.47, 3.35, -19.61, 1.94, 59.29]], \"ry\": [1.55, 1.58, 1.57, 1.58, 1.6, 1.65]}\n```"
            }
        ]
    },
    {
        "id": 465,
        "data_source": "Mono3DRefer",
        "scene_name": "001206",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, -1.36, -1.73], \"boxes_2d\": [[551.11, 185.85, 736.26, 361.07], [394.24, 179.82, 507.47, 251.17], [697.37, 176.79, 763.13, 219.89]], \"boxes_3d\": [[1.49, 1.6, 3.83, 0.24, 1.66, 8.22], [1.46, 1.73, 4.19, -3.64, 1.64, 17.06], [1.42, 1.66, 4.18, 4.24, 1.59, 26.23]], \"ry\": [-1.57, -1.57, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 466,
        "data_source": "Mono3DRefer",
        "scene_name": "001215",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.21], \"boxes_2d\": [[120.46, 189.03, 484.96, 309.67]], \"boxes_3d\": [[1.45, 1.68, 4.53, -4.15, 1.72, 10.33]], \"ry\": [-0.17]}\n```"
            }
        ]
    },
    {
        "id": 467,
        "data_source": "Mono3DRefer",
        "scene_name": "001217",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.23, 1.47], \"boxes_2d\": [[227.13, 196.68, 469.41, 343.38], [631.88, 185.03, 687.15, 230.4]], \"boxes_3d\": [[1.4, 1.67, 3.72, -3.09, 1.76, 9.23], [1.49, 1.61, 3.74, 1.69, 1.95, 26.16]], \"ry\": [-1.55, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 468,
        "data_source": "Mono3DRefer",
        "scene_name": "001218",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.05, 1.95], \"boxes_2d\": [[200.75, 188.84, 302.11, 233.27], [288.62, 185.97, 349.5, 213.64]], \"boxes_3d\": [[1.51, 1.86, 3.91, -13.56, 2.15, 27.48], [1.51, 1.88, 4.32, -17.25, 2.32, 42.92]], \"ry\": [1.59, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 469,
        "data_source": "Mono3DRefer",
        "scene_name": "001223",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.77, -0.64, -0.61, -0.53, 1.67, 1.65, -0.26, -2.0, -2.02, 1.72, 1.44, -1.48], \"boxes_2d\": [[734.8, 159.89, 940.52, 232.68], [1049.81, 146.91, 1166.89, 182.26], [1020.25, 148.81, 1132.58, 181.9], [994.99, 150.16, 1106.41, 183.23], [451.16, 182.92, 507.9, 227.58], [537.85, 177.02, 579.79, 209.73], [764.36, 159.01, 866.82, 198.0], [891.41, 151.05, 942.47, 180.42], [925.4, 154.65, 981.16, 181.36], [474.71, 184.05, 524.55, 219.46], [648.8, 174.17, 684.76, 199.03], [605.08, 178.94, 630.87, 199.58]], \"boxes_3d\": [[1.73, 1.74, 4.71, 5.71, 1.44, 18.54], [1.51, 1.64, 4.17, 22.32, 0.4, 32.44], [1.52, 1.6, 4.42, 22.42, 0.41, 34.81], [1.62, 1.77, 4.64, 22.7, 0.51, 37.31], [1.58, 1.76, 4.18, -5.03, 1.98, 28.1], [1.65, 1.88, 4.45, -2.73, 1.89, 38.98], [1.9, 1.78, 4.72, 10.44, 1.24, 36.95], [1.8, 1.65, 3.55, 19.63, 0.48, 46.32], [1.64, 1.7, 3.91, 22.14, 0.54, 46.73], [1.55, 1.71, 4.5, -5.27, 2.11, 34.73], [1.5, 1.71, 4.44, 3.56, 1.61, 46.21], [1.58, 1.71, 3.75, 0.65, 2.08, 57.65]], \"ry\": [3.07, -0.04, -0.04, 0.01, 1.49, 1.58, 0.02, -1.6, -1.58, 1.57, 1.52, -1.47]}\n```"
            }
        ]
    },
    {
        "id": 470,
        "data_source": "Mono3DRefer",
        "scene_name": "001224",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, 1.61, -2.23, -1.94, -1.83, -1.73, 1.67, 1.72], \"boxes_2d\": [[404.04, 205.12, 446.44, 243.93], [278.72, 202.89, 308.89, 230.62], [680.72, 205.73, 1234.85, 374.0], [551.88, 205.52, 798.39, 355.38], [498.65, 205.72, 629.97, 299.42], [440.64, 197.77, 527.46, 269.95], [214.19, 198.94, 281.25, 262.38], [113.13, 213.46, 232.24, 308.16]], \"boxes_3d\": [[1.37, 1.61, 4.26, -7.95, 2.82, 30.71], [1.51, 1.55, 3.92, -19.66, 3.45, 44.9], [1.47, 1.58, 3.55, 1.93, 1.77, 5.23], [1.37, 1.7, 4.38, 0.52, 1.9, 9.76], [1.4, 1.56, 3.91, -1.08, 2.12, 14.07], [1.6, 1.65, 3.77, -3.46, 2.31, 19.04], [1.86, 1.63, 4.2, -12.34, 2.81, 24.7], [1.45, 1.46, 3.41, -8.5, 2.33, 14.19]], \"ry\": [-1.85, 1.2, -1.9, -1.89, -1.9, -1.91, 1.21, 1.19]}\n```"
            }
        ]
    },
    {
        "id": 471,
        "data_source": "Mono3DRefer",
        "scene_name": "001225",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.56, 1.79, 2.63, 0.36], \"boxes_2d\": [[473.76, 175.83, 577.58, 212.43], [171.25, 192.03, 385.9, 332.28], [622.77, 173.56, 727.68, 206.46], [267.87, 176.14, 410.65, 227.04]], \"boxes_3d\": [[1.47, 1.72, 4.22, -3.65, 1.62, 31.33], [1.42, 1.71, 4.14, -4.29, 1.73, 9.93], [1.48, 1.87, 4.74, 3.13, 1.54, 34.91], [1.63, 1.69, 4.23, -9.2, 1.77, 24.62]], \"ry\": [2.44, 1.39, 2.71, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 472,
        "data_source": "Mono3DRefer",
        "scene_name": "001229",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.7, -1.73, -1.91, -2.46], \"boxes_2d\": [[652.52, 171.63, 699.41, 211.55], [685.19, 179.97, 751.16, 227.76], [798.67, 177.4, 898.9, 229.01], [801.89, 175.07, 868.48, 202.5]], \"boxes_3d\": [[1.69, 1.58, 3.95, 2.91, 1.67, 32.85], [1.41, 1.57, 3.23, 3.36, 1.65, 23.14], [1.45, 1.61, 4.2, 7.3, 1.61, 22.61], [1.48, 1.36, 3.51, 12.69, 1.63, 40.91]], \"ry\": [-1.62, -1.59, -1.6, -2.16]}\n```"
            }
        ]
    },
    {
        "id": 473,
        "data_source": "Mono3DRefer",
        "scene_name": "001235",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.66], \"boxes_2d\": [[659.43, 186.18, 696.95, 215.03]], \"boxes_3d\": [[1.41, 1.58, 4.36, 3.57, 2.15, 38.7]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 474,
        "data_source": "Mono3DRefer",
        "scene_name": "001238",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.22, 2.12], \"boxes_2d\": [[0.0, 202.34, 208.45, 374.0], [1136.42, 165.83, 1241.0, 220.99]], \"boxes_3d\": [[1.37, 1.78, 4.65, -5.49, 1.7, 6.06], [1.48, 1.51, 4.35, 17.48, 1.29, 20.81]], \"ry\": [1.51, 2.81]}\n```"
            }
        ]
    },
    {
        "id": 475,
        "data_source": "Mono3DRefer",
        "scene_name": "001241",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.53, -0.86, -0.99, -1.04, -1.13, -1.84], \"boxes_2d\": [[560.83, 171.57, 652.63, 210.88], [711.78, 170.15, 815.86, 215.6], [790.61, 168.48, 881.12, 207.86], [869.02, 169.04, 934.95, 201.4], [911.99, 161.66, 990.44, 198.87], [633.97, 181.71, 752.79, 258.78]], \"boxes_3d\": [[1.56, 1.39, 3.73, -0.14, 1.52, 30.38], [1.56, 1.67, 3.78, 5.66, 1.47, 26.54], [1.5, 1.53, 4.04, 9.21, 1.34, 29.38], [1.38, 1.28, 3.16, 13.01, 1.22, 32.17], [1.7, 1.7, 4.46, 16.62, 1.2, 35.11], [1.39, 1.54, 3.42, 1.56, 1.58, 14.96]], \"ry\": [2.53, -0.65, -0.69, -0.66, -0.69, -1.74]}\n```"
            }
        ]
    },
    {
        "id": 476,
        "data_source": "Mono3DRefer",
        "scene_name": "001242",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.7], \"boxes_2d\": [[712.96, 131.23, 747.56, 158.35]], \"boxes_3d\": [[1.5, 1.62, 4.19, 7.67, -0.99, 45.89]], \"ry\": [1.87]}\n```"
            }
        ]
    },
    {
        "id": 477,
        "data_source": "Mono3DRefer",
        "scene_name": "001245",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.04, 1.91, 1.78], \"boxes_2d\": [[230.07, 193.21, 303.66, 224.15], [368.22, 183.61, 413.89, 207.5], [443.08, 181.59, 472.55, 200.29]], \"boxes_3d\": [[1.33, 1.72, 3.63, -16.44, 2.35, 34.68], [1.56, 1.7, 4.35, -15.27, 2.33, 50.48], [1.6, 1.79, 3.91, -13.61, 2.4, 64.66]], \"ry\": [1.6, 1.62, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 478,
        "data_source": "Mono3DRefer",
        "scene_name": "001257",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.78, 1.71], \"boxes_2d\": [[445.77, 182.94, 488.7, 211.91], [500.16, 178.53, 526.03, 196.19]], \"boxes_3d\": [[1.51, 1.51, 4.15, -7.95, 2.09, 40.34], [1.49, 1.71, 3.94, -8.49, 2.0, 63.4]], \"ry\": [1.59, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 479,
        "data_source": "Mono3DRefer",
        "scene_name": "001258",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.61], \"boxes_2d\": [[544.05, 178.05, 569.95, 202.19]], \"boxes_3d\": [[1.7, 1.72, 4.11, -3.9, 2.1, 53.41]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 480,
        "data_source": "Mono3DRefer",
        "scene_name": "001269",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.58, 2.06], \"boxes_2d\": [[582.37, 175.44, 600.77, 190.02], [112.68, 186.67, 310.31, 282.87]], \"boxes_3d\": [[1.26, 1.6, 3.56, -1.68, 1.51, 64.82], [1.48, 1.64, 3.59, -7.13, 1.76, 13.27]], \"ry\": [-1.6, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 481,
        "data_source": "Mono3DRefer",
        "scene_name": "001273",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.72, 1.89], \"boxes_2d\": [[491.98, 175.69, 542.02, 211.93], [243.79, 185.14, 441.69, 312.26]], \"boxes_3d\": [[1.39, 1.52, 3.56, -3.82, 1.53, 29.81], [1.46, 1.59, 3.35, -3.6, 1.65, 10.19]], \"ry\": [1.6, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 482,
        "data_source": "Mono3DRefer",
        "scene_name": "001282",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.73], \"boxes_2d\": [[476.0, 184.59, 542.85, 235.0]], \"boxes_3d\": [[1.45, 1.56, 3.47, -3.16, 1.84, 22.97]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 483,
        "data_source": "Mono3DRefer",
        "scene_name": "001283",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.71, 2.27], \"boxes_2d\": [[487.18, 185.34, 543.72, 228.7], [0.0, 190.01, 281.24, 374.0]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.48, 1.94, 26.9], [1.65, 1.56, 3.98, -3.7, 1.78, 4.24]], \"ry\": [1.58, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 484,
        "data_source": "Mono3DRefer",
        "scene_name": "001284",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.77, 1.61, -3.0, 2.89], \"boxes_2d\": [[438.34, 186.62, 519.64, 243.87], [531.48, 182.03, 557.37, 202.27], [0.0, 188.88, 231.35, 285.86], [435.11, 181.59, 511.62, 209.09]], \"boxes_3d\": [[1.39, 1.52, 3.56, -3.56, 1.8, 19.91], [1.34, 1.64, 4.57, -4.63, 2.01, 51.14], [1.53, 1.54, 4.35, -9.33, 1.85, 12.99], [1.52, 1.41, 4.22, -8.1, 2.07, 42.67]], \"ry\": [1.59, 1.52, 2.67, 2.7]}\n```"
            }
        ]
    },
    {
        "id": 485,
        "data_source": "Mono3DRefer",
        "scene_name": "001285",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.0], \"boxes_2d\": [[236.7, 194.84, 309.81, 227.72]], \"boxes_3d\": [[1.48, 1.79, 4.15, -17.13, 2.66, 36.85]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 486,
        "data_source": "Mono3DRefer",
        "scene_name": "001299",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.51, -0.59, 1.76], \"boxes_2d\": [[564.58, 179.3, 605.64, 214.49], [969.3, 177.15, 1241.0, 374.0], [489.74, 174.43, 531.85, 203.18]], \"boxes_3d\": [[1.43, 1.55, 3.91, -1.07, 1.72, 31.55], [1.51, 1.69, 4.42, 5.36, 1.54, 5.52], [1.44, 1.58, 3.35, -5.23, 1.54, 38.13]], \"ry\": [-1.55, 0.15, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 487,
        "data_source": "Mono3DRefer",
        "scene_name": "001302",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.89], \"boxes_2d\": [[344.42, 191.34, 389.25, 214.35]], \"boxes_3d\": [[1.48, 1.79, 4.15, -17.19, 2.83, 51.12]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 488,
        "data_source": "Mono3DRefer",
        "scene_name": "001311",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.69, 0.29, 0.45, -1.65, -1.57, 1.87, -2.17, -1.94, -1.75, -1.64], \"boxes_2d\": [[663.07, 177.34, 729.99, 232.64], [329.7, 189.17, 415.25, 220.29], [215.09, 190.27, 311.46, 222.74], [632.99, 178.51, 659.51, 200.62], [592.91, 178.26, 617.75, 201.89], [259.77, 193.29, 474.86, 337.83], [848.87, 178.17, 1241.0, 374.0], [762.37, 171.1, 994.7, 362.52], [676.2, 180.49, 771.98, 250.78], [644.17, 178.82, 685.17, 214.02]], \"boxes_3d\": [[1.57, 1.59, 3.75, 2.59, 1.73, 22.64], [1.52, 1.51, 3.94, -12.3, 2.39, 37.4], [1.58, 1.56, 4.24, -17.95, 2.52, 37.39], [1.49, 1.55, 3.93, 2.52, 1.91, 51.28], [1.54, 1.63, 3.67, -0.34, 1.93, 49.52], [1.45, 1.59, 3.59, -2.95, 1.75, 9.42], [1.64, 1.64, 3.89, 2.72, 1.67, 3.83], [1.69, 1.39, 2.65, 2.65, 1.7, 7.79], [1.5, 1.59, 3.79, 2.6, 1.7, 17.51], [1.49, 1.57, 4.07, 2.4, 1.77, 32.83]], \"ry\": [-1.58, -0.02, 0.01, -1.6, -1.58, 1.57, -1.58, -1.62, -1.61, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 489,
        "data_source": "Mono3DRefer",
        "scene_name": "001313",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.73, -2.01], \"boxes_2d\": [[628.51, 182.54, 712.5, 242.39], [748.35, 161.41, 1078.23, 365.69]], \"boxes_3d\": [[1.38, 1.51, 4.1, 1.44, 1.65, 19.06], [1.6, 1.66, 3.55, 2.74, 1.53, 7.54]], \"ry\": [-1.66, -1.67]}\n```"
            }
        ]
    },
    {
        "id": 490,
        "data_source": "Mono3DRefer",
        "scene_name": "001321",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.89], \"boxes_2d\": [[205.58, 191.44, 470.05, 343.25]], \"boxes_3d\": [[1.48, 1.87, 4.42, -3.29, 1.77, 9.65]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 491,
        "data_source": "Mono3DRefer",
        "scene_name": "001325",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.65, 1.75], \"boxes_2d\": [[532.85, 180.03, 561.06, 203.5], [452.04, 179.0, 522.51, 234.5]], \"boxes_3d\": [[1.45, 1.53, 3.98, -4.11, 1.93, 47.2], [1.65, 1.56, 3.98, -3.96, 1.86, 23.59]], \"ry\": [1.56, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 492,
        "data_source": "Mono3DRefer",
        "scene_name": "001327",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.6, 1.78], \"boxes_2d\": [[556.79, 167.86, 581.86, 193.45], [355.71, 194.3, 503.1, 296.31]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.27, 1.62, 58.39], [1.42, 1.66, 4.11, -3.04, 1.85, 12.81]], \"ry\": [1.54, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 493,
        "data_source": "Mono3DRefer",
        "scene_name": "001328",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [0.64, 0.65], \"boxes_2d\": [[116.87, 189.54, 209.67, 221.62], [159.9, 191.13, 233.32, 217.38]], \"boxes_3d\": [[1.44, 1.47, 3.57, -21.18, 2.26, 34.2], [1.28, 1.35, 3.07, -21.21, 2.24, 36.99]], \"ry\": [0.09, 0.13]}\n```"
            }
        ]
    },
    {
        "id": 494,
        "data_source": "Mono3DRefer",
        "scene_name": "001333",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.85, -1.86, -1.77, 1.64], \"boxes_2d\": [[240.21, 189.76, 473.04, 353.44], [734.55, 175.37, 984.05, 351.7], [697.7, 184.68, 821.87, 272.94], [523.97, 173.29, 568.27, 210.23]], \"boxes_3d\": [[1.46, 1.6, 3.33, -2.72, 1.69, 8.38], [1.64, 1.7, 3.54, 2.61, 1.69, 8.56], [1.37, 1.51, 3.39, 2.55, 1.6, 13.18], [1.55, 1.68, 4.42, -2.87, 1.6, 32.82]], \"ry\": [1.55, -1.58, -1.58, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 495,
        "data_source": "Mono3DRefer",
        "scene_name": "001337",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.02, -1.92, 1.41, 1.71, -1.69, 1.46], \"boxes_2d\": [[3.73, 182.35, 409.71, 374.0], [766.33, 193.96, 1118.85, 374.0], [677.33, 185.85, 774.34, 254.65], [426.81, 181.22, 514.35, 245.4], [662.33, 182.68, 725.51, 229.63], [651.8, 181.15, 704.35, 220.8]], \"boxes_3d\": [[1.48, 1.64, 3.95, -3.35, 1.58, 6.88], [1.35, 1.64, 3.84, 2.7, 1.6, 6.97], [1.42, 1.59, 4.19, 2.63, 1.76, 17.47], [1.42, 1.64, 3.63, -3.41, 1.64, 18.01], [1.38, 1.58, 3.66, 2.61, 1.71, 23.42], [1.42, 1.6, 3.78, 2.55, 1.75, 28.06]], \"ry\": [1.58, -1.57, 1.55, 1.52, -1.58, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 496,
        "data_source": "Mono3DRefer",
        "scene_name": "001339",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.92, -1.66], \"boxes_2d\": [[984.32, 203.17, 1241.0, 374.0], [851.65, 189.06, 909.41, 231.37]], \"boxes_3d\": [[1.4, 1.64, 3.73, 3.95, 1.68, 5.13], [1.4, 1.61, 4.37, 10.1, 2.05, 27.28]], \"ry\": [-1.29, -1.31]}\n```"
            }
        ]
    },
    {
        "id": 497,
        "data_source": "Mono3DRefer",
        "scene_name": "001343",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.64, 1.66], \"boxes_2d\": [[511.41, 171.48, 557.34, 215.64], [551.6, 174.93, 574.47, 196.69]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.61, 1.94, 34.82], [1.7, 1.53, 3.82, -3.82, 1.9, 58.92]], \"ry\": [1.54, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 498,
        "data_source": "Mono3DRefer",
        "scene_name": "001352",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.17, 1.82], \"boxes_2d\": [[11.14, 192.2, 196.35, 256.62], [403.52, 182.12, 445.83, 208.27]], \"boxes_3d\": [[1.5, 1.95, 4.6, -13.89, 2.09, 20.14], [1.84, 2.04, 4.33, -13.81, 2.55, 53.93]], \"ry\": [1.57, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 499,
        "data_source": "Mono3DRefer",
        "scene_name": "001362",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.27], \"boxes_2d\": [[427.79, 183.01, 510.67, 207.39]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.28, 1.98, 42.47]], \"ry\": [0.08]}\n```"
            }
        ]
    },
    {
        "id": 500,
        "data_source": "Mono3DRefer",
        "scene_name": "001367",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.17, 1.99, -2.0, -1.74, 1.94, 1.8], \"boxes_2d\": [[0.0, 150.49, 262.49, 374.0], [322.34, 170.39, 497.9, 287.2], [843.24, 172.26, 1241.0, 374.0], [775.64, 181.29, 935.15, 299.47], [597.9, 174.32, 693.8, 228.54], [671.46, 169.03, 721.44, 200.35]], \"boxes_3d\": [[1.74, 1.65, 4.18, -4.21, 1.64, 5.06], [1.64, 1.45, 3.48, -3.16, 1.62, 11.93], [1.61, 1.68, 4.04, 3.36, 1.63, 6.14], [1.52, 1.58, 4.28, 3.65, 1.67, 11.59], [1.54, 1.64, 4.08, 1.19, 1.61, 22.72], [1.5, 1.6, 4.17, 4.43, 1.34, 36.71]], \"ry\": [1.51, 1.74, -1.52, -1.44, 1.99, 1.92]}\n```"
            }
        ]
    },
    {
        "id": 501,
        "data_source": "Mono3DRefer",
        "scene_name": "001369",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.29, 2.05, 2.05, 1.91, 1.83, 1.81], \"boxes_2d\": [[0.0, 198.04, 136.72, 312.35], [151.89, 176.21, 306.54, 262.73], [275.15, 188.44, 375.68, 241.24], [335.96, 178.46, 422.45, 229.9], [425.51, 182.42, 478.7, 214.83], [455.76, 181.61, 499.42, 208.89]], \"boxes_3d\": [[1.47, 1.63, 4.11, -9.04, 1.89, 10.36], [1.8, 1.61, 3.83, -8.85, 1.9, 17.07], [1.45, 1.45, 3.4, -8.65, 1.95, 22.12], [1.75, 1.71, 4.31, -8.53, 1.98, 26.96], [1.53, 1.66, 4.01, -7.97, 2.03, 36.61], [1.48, 1.6, 3.9, -7.64, 2.0, 41.79]], \"ry\": [1.59, 1.58, 1.68, 1.61, 1.61, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 502,
        "data_source": "Mono3DRefer",
        "scene_name": "001370",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, 2.24, -2.11, -2.27, -2.3, -2.18, -2.37, -1.72, -1.7, -1.56, 2.03], \"boxes_2d\": [[585.35, 181.65, 657.55, 240.59], [0.0, 167.03, 151.38, 258.15], [313.44, 168.13, 470.42, 249.95], [350.77, 176.23, 493.11, 235.61], [391.69, 180.27, 523.45, 230.53], [464.82, 174.33, 547.37, 213.55], [507.32, 174.59, 569.78, 199.16], [689.73, 179.73, 756.9, 223.89], [674.23, 171.57, 726.91, 212.49], [588.46, 176.8, 629.42, 214.17], [262.53, 170.9, 341.7, 204.09]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.23, 1.6, 18.68], [1.59, 1.72, 3.86, -11.38, 1.52, 14.52], [1.59, 1.63, 3.64, -4.89, 1.52, 15.82], [1.41, 1.64, 3.61, -4.99, 1.52, 18.84], [1.39, 1.61, 4.09, -4.74, 1.64, 22.01], [1.5, 1.57, 3.54, -4.32, 1.58, 29.43], [1.4, 1.6, 3.55, -4.28, 1.52, 42.79], [1.36, 1.63, 4.02, 3.71, 1.6, 24.44], [1.66, 1.72, 4.41, 3.88, 1.64, 31.81], [1.52, 1.67, 3.61, -0.07, 1.71, 31.41], [1.47, 1.77, 4.25, -14.64, 1.42, 34.5]], \"ry\": [-1.57, 1.58, -2.41, -2.53, -2.51, -2.33, -2.47, -1.57, -1.58, -1.57, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 503,
        "data_source": "Mono3DRefer",
        "scene_name": "001376",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.96, 1.77, -1.82, 1.63, -1.63], \"boxes_2d\": [[775.91, 192.32, 1209.54, 374.0], [396.94, 195.8, 513.24, 280.01], [685.79, 190.85, 858.72, 304.94], [524.23, 186.07, 559.36, 215.81], [631.37, 181.8, 664.18, 209.2]], \"boxes_3d\": [[1.52, 1.51, 4.28, 2.69, 1.74, 6.35], [1.42, 1.57, 4.1, -3.13, 1.96, 15.12], [1.43, 1.64, 4.14, 2.33, 1.76, 11.63], [1.38, 1.53, 3.58, -3.42, 2.06, 36.29], [1.49, 1.65, 4.06, 2.12, 2.02, 41.96]], \"ry\": [-1.58, 1.57, -1.62, 1.54, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 504,
        "data_source": "Mono3DRefer",
        "scene_name": "001382",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.62, -1.61], \"boxes_2d\": [[1006.57, 195.04, 1209.1, 354.6], [1001.98, 188.79, 1055.23, 228.78]], \"boxes_3d\": [[1.4, 1.64, 3.73, 5.74, 1.71, 8.75], [1.4, 1.61, 4.37, 16.59, 2.07, 28.79]], \"ry\": [-1.05, -1.09]}\n```"
            }
        ]
    },
    {
        "id": 505,
        "data_source": "Mono3DRefer",
        "scene_name": "001385",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.65], \"boxes_2d\": [[537.18, 181.04, 569.55, 204.77]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.65, 1.99, 46.82]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 506,
        "data_source": "Mono3DRefer",
        "scene_name": "001390",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.65, -1.75, -2.45], \"boxes_2d\": [[632.19, 175.52, 657.01, 195.48], [683.75, 174.84, 717.55, 196.65], [800.07, 174.38, 866.28, 201.72]], \"boxes_3d\": [[1.41, 1.57, 3.23, 2.5, 1.62, 53.12], [1.45, 1.61, 4.2, 6.29, 1.61, 50.59], [1.48, 1.36, 3.51, 12.62, 1.59, 41.02]], \"ry\": [-1.6, -1.63, -2.16]}\n```"
            }
        ]
    },
    {
        "id": 507,
        "data_source": "Mono3DRefer",
        "scene_name": "001392",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.7, 1.96, 1.84, 1.68], \"boxes_2d\": [[450.38, 175.33, 502.11, 214.16], [188.08, 184.42, 393.95, 301.9], [305.32, 168.75, 450.38, 267.74], [415.55, 182.2, 485.46, 230.82]], \"boxes_3d\": [[1.62, 1.75, 4.3, -6.0, 1.76, 32.59], [1.44, 1.58, 3.35, -4.55, 1.63, 10.72], [1.74, 1.71, 4.41, -4.65, 1.7, 15.01], [1.41, 1.72, 4.41, -5.16, 1.73, 23.64]], \"ry\": [1.52, 1.57, 1.54, 1.47]}\n```"
            }
        ]
    },
    {
        "id": 508,
        "data_source": "Mono3DRefer",
        "scene_name": "001399",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.64], \"boxes_2d\": [[542.45, 179.21, 571.74, 201.0]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.7, 1.91, 50.71]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 509,
        "data_source": "Mono3DRefer",
        "scene_name": "001403",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.69, -1.82, -1.79, -2.83], \"boxes_2d\": [[652.16, 179.52, 699.38, 216.18], [715.73, 178.7, 839.32, 259.68], [705.91, 175.32, 747.82, 201.42], [986.77, 179.33, 1083.81, 214.13]], \"boxes_3d\": [[1.38, 1.49, 3.32, 2.56, 1.66, 29.1], [1.5, 1.62, 3.89, 3.4, 1.64, 15.51], [1.44, 1.56, 3.96, 6.76, 1.61, 42.24], [1.48, 1.36, 3.51, 19.14, 1.79, 32.62]], \"ry\": [-1.6, -1.6, -1.64, -2.3]}\n```"
            }
        ]
    },
    {
        "id": 510,
        "data_source": "Mono3DRefer",
        "scene_name": "001408",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.66], \"boxes_2d\": [[527.82, 181.82, 563.96, 208.46]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.7, 1.98, 41.89]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 511,
        "data_source": "Mono3DRefer",
        "scene_name": "001411",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.87, -1.63], \"boxes_2d\": [[434.86, 181.69, 527.89, 240.01], [647.03, 171.83, 715.5, 237.88]], \"boxes_3d\": [[1.49, 1.53, 3.88, -3.6, 1.76, 20.62], [1.57, 1.56, 2.62, 1.74, 1.57, 18.64]], \"ry\": [1.69, -1.54]}\n```"
            }
        ]
    },
    {
        "id": 512,
        "data_source": "Mono3DRefer",
        "scene_name": "001412",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.28, -1.93, 1.98, 1.79, 1.75, -1.79, -1.73, 2.86, -1.81, -1.88], \"boxes_2d\": [[0.0, 214.12, 261.55, 374.0], [742.49, 189.82, 1062.92, 371.91], [155.46, 199.75, 441.46, 356.55], [357.32, 189.23, 474.17, 274.35], [428.37, 188.62, 515.55, 248.83], [707.9, 181.45, 843.89, 268.96], [691.19, 178.3, 771.33, 238.3], [895.57, 158.42, 1024.41, 216.08], [641.52, 178.65, 681.88, 206.59], [596.39, 182.68, 628.9, 201.41]], \"boxes_3d\": [[1.51, 1.55, 3.92, -3.44, 1.82, 3.53], [1.39, 1.54, 4.6, 2.75, 1.62, 8.13], [1.4, 1.62, 4.26, -3.59, 1.81, 9.16], [1.46, 1.52, 3.48, -3.83, 1.82, 14.6], [1.39, 1.6, 3.8, -3.62, 1.84, 19.27], [1.46, 1.6, 4.52, 3.07, 1.64, 14.47], [1.48, 1.56, 3.46, 3.17, 1.64, 19.68], [2.05, 1.8, 3.95, 12.92, 1.56, 26.92], [1.51, 1.53, 3.38, 2.89, 1.86, 41.25], [1.39, 1.54, 3.42, 0.15, 2.16, 55.96]], \"ry\": [1.55, -1.62, 1.62, 1.54, 1.57, -1.59, -1.58, -2.98, -1.74, -1.87]}\n```"
            }
        ]
    },
    {
        "id": 513,
        "data_source": "Mono3DRefer",
        "scene_name": "001418",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.8, 2.95], \"boxes_2d\": [[188.22, 187.57, 395.15, 337.78], [586.07, 172.2, 673.55, 204.2]], \"boxes_3d\": [[1.6, 1.73, 3.62, -4.13, 1.83, 9.86], [1.73, 1.74, 4.71, 1.07, 1.72, 41.07]], \"ry\": [1.41, 2.97]}\n```"
            }
        ]
    },
    {
        "id": 514,
        "data_source": "Mono3DRefer",
        "scene_name": "001424",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.82, 2.06, 2.11, 1.91, 1.96], \"boxes_2d\": [[434.48, 178.98, 466.1, 197.6], [165.42, 186.36, 263.29, 232.83], [109.89, 188.5, 225.55, 231.07], [336.43, 179.42, 391.38, 209.13], [301.91, 179.62, 357.3, 208.63]], \"boxes_3d\": [[1.58, 1.82, 3.87, -14.09, 2.13, 63.8], [1.48, 1.61, 3.39, -13.88, 1.98, 25.44], [1.44, 1.79, 4.32, -16.85, 2.07, 27.7], [1.6, 1.78, 3.86, -13.98, 1.98, 41.13], [1.65, 1.77, 3.85, -16.8, 2.07, 43.36]], \"ry\": [1.6, 1.56, 1.57, 1.58, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 515,
        "data_source": "Mono3DRefer",
        "scene_name": "001425",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.64, 0.21], \"boxes_2d\": [[98.99, 171.33, 340.61, 266.79], [397.78, 177.52, 483.92, 211.34]], \"boxes_3d\": [[1.9, 1.78, 4.25, -8.32, 1.9, 15.55], [1.52, 1.64, 3.7, -7.99, 1.77, 34.17]], \"ry\": [-3.13, -0.02]}\n```"
            }
        ]
    },
    {
        "id": 516,
        "data_source": "Mono3DRefer",
        "scene_name": "001427",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.91], \"boxes_2d\": [[302.18, 175.25, 357.58, 200.23]], \"boxes_3d\": [[1.34, 1.73, 3.98, -16.0, 1.5, 41.33]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 517,
        "data_source": "Mono3DRefer",
        "scene_name": "001430",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.39], \"boxes_2d\": [[608.29, 187.36, 662.29, 222.46]], \"boxes_3d\": [[1.44, 1.66, 4.53, 1.2, 2.13, 32.99]], \"ry\": [-1.35]}\n```"
            }
        ]
    },
    {
        "id": 518,
        "data_source": "Mono3DRefer",
        "scene_name": "001434",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.76, -0.51, 2.79, -1.02], \"boxes_2d\": [[551.83, 189.55, 838.96, 316.56], [355.95, 193.33, 559.27, 274.05], [266.08, 182.44, 447.62, 260.04], [683.78, 191.9, 949.71, 345.13]], \"boxes_3d\": [[1.46, 1.55, 4.28, 1.34, 1.74, 10.6], [1.49, 1.66, 4.16, -3.35, 2.0, 16.15], [1.85, 1.68, 4.34, -6.84, 2.14, 19.62], [1.39, 1.59, 3.17, 2.49, 1.65, 8.52]], \"ry\": [-0.64, -0.71, 2.45, -0.75]}\n```"
            }
        ]
    },
    {
        "id": 519,
        "data_source": "Mono3DRefer",
        "scene_name": "001438",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.17, -2.17, 1.3, 2.63, 0.76, 2.72], \"boxes_2d\": [[0.0, 192.31, 243.37, 374.0], [854.28, 187.04, 1241.0, 374.0], [462.73, 180.1, 516.73, 212.71], [539.28, 175.31, 603.94, 197.37], [339.93, 181.39, 418.71, 208.14], [644.28, 172.98, 712.52, 193.76]], \"boxes_3d\": [[1.49, 1.63, 3.68, -5.85, 1.75, 8.0], [1.49, 1.61, 3.55, 3.03, 1.61, 4.67], [1.41, 1.57, 3.53, -5.67, 1.77, 33.54], [1.47, 1.72, 4.22, -2.7, 1.66, 50.65], [1.42, 1.71, 4.14, -12.93, 1.92, 40.33], [1.48, 1.87, 4.74, 5.11, 1.52, 54.19]], \"ry\": [1.55, -1.62, 1.13, 2.58, 0.45, 2.81]}\n```"
            }
        ]
    },
    {
        "id": 520,
        "data_source": "Mono3DRefer",
        "scene_name": "001453",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.04, 2.0, 2.06], \"boxes_2d\": [[240.97, 179.18, 304.63, 209.17], [285.89, 179.97, 343.28, 203.83], [334.38, 177.53, 384.57, 198.44]], \"boxes_3d\": [[1.58, 1.64, 3.88, -18.79, 1.94, 40.32], [1.43, 1.81, 4.16, -18.72, 1.89, 45.85], [1.47, 1.67, 4.31, -18.47, 1.83, 53.33]], \"ry\": [1.6, 1.61, 1.72]}\n```"
            }
        ]
    },
    {
        "id": 521,
        "data_source": "Mono3DRefer",
        "scene_name": "001456",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.04, 2.02, -1.23, -1.1], \"boxes_2d\": [[48.56, 180.91, 418.21, 374.0], [50.73, 182.85, 296.62, 290.75], [389.86, 185.34, 467.96, 230.36], [318.04, 185.7, 418.64, 232.18]], \"boxes_3d\": [[1.62, 1.75, 4.3, -3.74, 1.72, 8.1], [1.47, 1.73, 4.48, -7.13, 1.66, 12.36], [1.39, 1.59, 3.17, -6.09, 1.83, 24.43], [1.46, 1.55, 4.28, -8.43, 1.94, 25.46]], \"ry\": [1.62, 1.51, -1.48, -1.41]}\n```"
            }
        ]
    },
    {
        "id": 522,
        "data_source": "Mono3DRefer",
        "scene_name": "001461",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.16, 1.86, 1.93, 1.82], \"boxes_2d\": [[50.24, 187.58, 194.39, 238.41], [377.21, 181.32, 417.91, 205.64], [333.84, 184.69, 385.43, 208.17], [436.57, 181.29, 468.72, 200.74]], \"boxes_3d\": [[1.49, 1.88, 4.41, -16.25, 2.02, 24.3], [1.48, 1.61, 3.39, -13.63, 2.04, 46.36], [1.44, 1.79, 4.32, -16.53, 2.25, 47.77], [1.6, 1.78, 3.86, -13.49, 2.33, 62.0]], \"ry\": [1.57, 1.57, 1.6, 1.61]}\n```"
            }
        ]
    },
    {
        "id": 523,
        "data_source": "Mono3DRefer",
        "scene_name": "001462",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.51, -0.49, 1.76], \"boxes_2d\": [[563.67, 182.53, 604.0, 217.39], [906.8, 175.39, 1241.0, 355.86], [492.23, 177.96, 532.64, 205.7]], \"boxes_3d\": [[1.43, 1.55, 3.91, -1.14, 1.87, 32.09], [1.51, 1.69, 4.42, 5.33, 1.54, 6.87], [1.44, 1.58, 3.35, -5.32, 1.73, 39.45]], \"ry\": [-1.55, 0.15, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 524,
        "data_source": "Mono3DRefer",
        "scene_name": "001471",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[573.95, 178.19, 610.71, 213.59]], \"boxes_3d\": [[1.66, 1.73, 3.05, -0.87, 1.94, 35.78]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 525,
        "data_source": "Mono3DRefer",
        "scene_name": "001475",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.94, -1.83, -1.78, -2.49, 1.77, 2.21, -1.64, 1.77], \"boxes_2d\": [[406.34, 179.01, 595.22, 293.96], [822.62, 189.37, 1163.93, 374.0], [793.95, 174.61, 967.55, 300.92], [1137.22, 142.67, 1241.0, 219.69], [553.91, 173.8, 620.25, 218.82], [872.9, 163.66, 957.56, 202.2], [741.74, 170.96, 787.85, 209.39], [605.65, 171.86, 650.37, 204.28]], \"boxes_3d\": [[1.54, 1.64, 4.08, -1.61, 1.65, 11.87], [1.46, 1.57, 3.58, 2.92, 1.64, 6.42], [1.58, 1.67, 3.43, 3.81, 1.63, 10.84], [1.84, 1.94, 3.68, 15.78, 1.12, 18.19], [1.5, 1.6, 4.17, -0.78, 1.56, 26.2], [1.52, 1.58, 3.28, 12.65, 1.16, 29.95], [1.58, 1.68, 3.93, 6.72, 1.53, 31.79], [1.58, 1.54, 3.98, 0.96, 1.55, 37.27]], \"ry\": [1.81, -1.42, -1.45, -1.78, 1.74, 2.61, -1.43, 1.79]}\n```"
            }
        ]
    },
    {
        "id": 526,
        "data_source": "Mono3DRefer",
        "scene_name": "001482",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.87], \"boxes_2d\": [[294.41, 183.95, 436.78, 230.6]], \"boxes_3d\": [[1.47, 1.74, 4.26, -8.25, 1.87, 24.52]], \"ry\": [3.09]}\n```"
            }
        ]
    },
    {
        "id": 527,
        "data_source": "Mono3DRefer",
        "scene_name": "001489",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.64], \"boxes_2d\": [[648.04, 186.87, 677.18, 210.23]], \"boxes_3d\": [[1.41, 1.58, 4.36, 3.39, 2.36, 47.41]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 528,
        "data_source": "Mono3DRefer",
        "scene_name": "001491",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.8, -2.04, -2.48, -1.65, -1.74], \"boxes_2d\": [[727.07, 182.91, 839.42, 258.82], [885.25, 180.43, 1068.33, 261.45], [812.22, 175.23, 880.66, 203.12], [630.79, 174.48, 658.92, 197.32], [672.89, 171.09, 739.82, 224.97]], \"boxes_3d\": [[1.41, 1.57, 3.23, 3.5, 1.64, 15.27], [1.45, 1.61, 4.2, 7.41, 1.62, 15.17], [1.48, 1.36, 3.51, 13.12, 1.64, 40.26], [1.5, 1.62, 3.89, 2.36, 1.64, 49.97], [1.69, 1.58, 3.95, 3.2, 1.66, 24.86]], \"ry\": [-1.58, -1.6, -2.17, -1.6, -1.62]}\n```"
            }
        ]
    },
    {
        "id": 529,
        "data_source": "Mono3DRefer",
        "scene_name": "001492",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.91], \"boxes_2d\": [[329.92, 192.14, 378.46, 216.61]], \"boxes_3d\": [[1.48, 1.79, 4.15, -17.1, 2.82, 48.35]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 530,
        "data_source": "Mono3DRefer",
        "scene_name": "001493",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.19, 2.17, 2.06, 2.0, 2.01], \"boxes_2d\": [[0.0, 191.2, 71.26, 230.18], [54.0, 189.93, 145.19, 222.49], [135.36, 184.35, 196.67, 214.77], [183.53, 186.05, 234.1, 210.75], [266.72, 182.1, 306.8, 201.63]], \"boxes_3d\": [[1.42, 1.68, 3.38, -23.7, 2.19, 28.97], [1.38, 1.52, 4.0, -24.02, 2.22, 34.08], [1.57, 1.47, 3.35, -24.47, 2.23, 39.83], [1.43, 1.48, 3.33, -24.79, 2.27, 44.65], [1.48, 1.35, 3.93, -25.75, 2.23, 57.55]], \"ry\": [1.51, 1.56, 1.51, 1.49, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 531,
        "data_source": "Mono3DRefer",
        "scene_name": "001494",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.21, -1.04, -1.44, -1.89, -1.6, -1.95, -2.06], \"boxes_2d\": [[142.43, 185.25, 295.32, 256.92], [0.0, 164.12, 177.92, 261.19], [382.55, 171.72, 447.59, 217.6], [700.32, 169.13, 815.28, 231.64], [547.89, 161.41, 586.57, 197.65], [772.34, 162.44, 893.35, 227.17], [854.24, 168.97, 996.72, 223.41]], \"boxes_3d\": [[1.48, 1.71, 4.65, -9.4, 1.8, 17.72], [2.04, 1.66, 4.62, -12.62, 1.89, 17.58], [1.42, 1.64, 3.95, -6.61, 1.42, 24.65], [1.51, 1.72, 4.5, 3.87, 1.45, 19.91], [1.7, 1.8, 4.5, -2.24, 1.19, 36.35], [1.64, 1.73, 4.43, 6.19, 1.41, 20.72], [1.38, 1.8, 4.49, 8.87, 1.32, 20.86]], \"ry\": [-1.69, -1.66, -1.7, -1.7, -1.66, -1.67, -1.67]}\n```"
            }
        ]
    },
    {
        "id": 532,
        "data_source": "Mono3DRefer",
        "scene_name": "001498",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.7, -1.71, -1.89, -2.46], \"boxes_2d\": [[647.89, 171.83, 691.35, 208.94], [676.77, 179.34, 735.32, 222.4], [781.87, 176.89, 869.81, 223.52], [801.44, 175.04, 867.88, 202.43]], \"boxes_3d\": [[1.69, 1.58, 3.95, 2.82, 1.67, 35.2], [1.41, 1.57, 3.23, 3.29, 1.65, 25.5], [1.45, 1.61, 4.2, 7.26, 1.61, 24.8], [1.48, 1.36, 3.51, 12.68, 1.63, 40.95]], \"ry\": [-1.62, -1.59, -1.61, -2.16]}\n```"
            }
        ]
    },
    {
        "id": 533,
        "data_source": "Mono3DRefer",
        "scene_name": "001503",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.35], \"boxes_2d\": [[760.43, 175.03, 819.05, 200.55]], \"boxes_3d\": [[1.48, 1.36, 3.51, 10.86, 1.64, 43.88]], \"ry\": [-2.11]}\n```"
            }
        ]
    },
    {
        "id": 534,
        "data_source": "Mono3DRefer",
        "scene_name": "001506",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, -1.57, -2.0, -1.72, 2.2, -1.7, -1.64], \"boxes_2d\": [[580.85, 176.13, 621.32, 214.63], [597.81, 172.27, 630.83, 206.71], [852.91, 183.72, 1241.0, 374.0], [682.62, 167.57, 769.88, 242.63], [0.0, 192.44, 205.57, 327.74], [667.35, 175.74, 718.45, 219.64], [646.03, 173.8, 676.15, 201.56]], \"boxes_3d\": [[1.54, 1.63, 3.67, -0.41, 1.71, 31.1], [1.77, 1.69, 4.32, 0.2, 1.77, 39.59], [1.54, 1.55, 3.51, 3.04, 1.64, 5.34], [1.74, 1.62, 4.13, 2.89, 1.65, 18.97], [1.51, 1.65, 3.94, -7.81, 1.83, 10.39], [1.53, 1.46, 3.26, 3.01, 1.65, 26.98], [1.6, 1.56, 3.45, 3.03, 1.68, 43.68]], \"ry\": [-1.58, -1.57, -1.51, -1.57, 1.57, -1.59, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 535,
        "data_source": "Mono3DRefer",
        "scene_name": "001513",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.47, 0.45, -2.69, 0.21, -1.7, -0.17], \"boxes_2d\": [[0.0, 177.3, 225.34, 356.15], [112.05, 179.8, 402.68, 277.52], [174.85, 178.05, 363.01, 252.99], [335.56, 182.25, 494.16, 235.51], [670.21, 185.83, 748.47, 243.06], [742.16, 182.39, 843.3, 224.9]], \"boxes_3d\": [[1.53, 1.7, 4.32, -6.41, 1.6, 6.99], [1.54, 1.78, 4.2, -6.03, 1.69, 12.58], [1.46, 1.42, 3.25, -7.07, 1.58, 15.04], [1.5, 1.66, 4.4, -5.87, 1.81, 21.94], [1.41, 1.62, 4.19, 2.67, 1.81, 20.5], [1.42, 1.59, 3.21, 6.35, 1.78, 25.48]], \"ry\": [3.09, 0.01, -3.13, -0.05, -1.57, 0.07]}\n```"
            }
        ]
    },
    {
        "id": 536,
        "data_source": "Mono3DRefer",
        "scene_name": "001520",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.24, 2.15, 2.1, 2.12], \"boxes_2d\": [[0.0, 189.49, 107.76, 229.52], [105.11, 188.48, 185.96, 224.38], [170.23, 190.37, 238.59, 216.92], [214.09, 187.77, 270.15, 213.41]], \"boxes_3d\": [[1.5, 1.62, 4.08, -23.35, 2.23, 30.25], [1.65, 1.57, 3.82, -23.25, 2.46, 36.23], [1.37, 1.36, 4.44, -23.2, 2.41, 41.4], [1.51, 1.47, 3.64, -23.35, 2.49, 45.87]], \"ry\": [1.59, 1.58, 1.59, 1.65]}\n```"
            }
        ]
    },
    {
        "id": 537,
        "data_source": "Mono3DRefer",
        "scene_name": "001521",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.9, 1.71, 1.8], \"boxes_2d\": [[0.0, 195.4, 282.03, 374.0], [411.26, 190.43, 455.68, 223.31], [268.57, 193.58, 394.03, 281.18]], \"boxes_3d\": [[1.44, 1.58, 3.72, -4.87, 1.73, 7.76], [1.39, 1.52, 3.56, -8.25, 2.25, 33.81], [1.46, 1.59, 3.35, -5.47, 1.91, 14.43]], \"ry\": [1.36, 1.48, 1.44]}\n```"
            }
        ]
    },
    {
        "id": 538,
        "data_source": "Mono3DRefer",
        "scene_name": "001526",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.21, 3.1], \"boxes_2d\": [[676.2, 178.45, 807.47, 223.0], [646.61, 178.3, 709.31, 201.86]], \"boxes_3d\": [[1.45, 1.6, 4.23, 4.48, 1.67, 25.08], [1.48, 1.72, 3.99, 4.39, 1.86, 47.26]], \"ry\": [-0.03, -3.1]}\n```"
            }
        ]
    },
    {
        "id": 539,
        "data_source": "Mono3DRefer",
        "scene_name": "001527",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.67, 2.16], \"boxes_2d\": [[945.17, 179.56, 1005.96, 200.46], [75.82, 197.6, 179.08, 240.53]], \"boxes_3d\": [[1.42, 1.58, 3.48, 25.81, 1.91, 51.03], [1.49, 1.81, 3.36, -18.94, 2.52, 28.43]], \"ry\": [3.13, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 540,
        "data_source": "Mono3DRefer",
        "scene_name": "001532",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.51], \"boxes_2d\": [[565.18, 192.31, 596.28, 218.05]], \"boxes_3d\": [[1.44, 1.66, 4.53, -1.81, 2.7, 45.09]], \"ry\": [-1.55]}\n```"
            }
        ]
    },
    {
        "id": 541,
        "data_source": "Mono3DRefer",
        "scene_name": "001533",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, -1.01, -1.17, -1.34, -1.29, -1.41, -1.44, -1.47, -1.24], \"boxes_2d\": [[577.02, 173.77, 645.64, 236.29], [0.0, 186.54, 244.4, 290.95], [238.75, 183.35, 355.11, 245.51], [366.65, 176.16, 486.26, 259.98], [349.52, 182.3, 421.21, 221.67], [457.17, 177.82, 516.85, 221.43], [492.32, 180.92, 530.02, 207.86], [516.35, 179.8, 547.62, 202.67], [308.76, 184.02, 377.03, 217.37]], \"boxes_3d\": [[1.6, 1.76, 3.84, 0.08, 1.3, 20.5], [1.5, 1.7, 3.97, -8.29, 1.55, 12.65], [1.49, 1.66, 3.37, -8.24, 1.46, 19.29], [1.63, 1.67, 3.92, -3.92, 1.45, 16.05], [1.42, 1.61, 4.05, -8.7, 1.31, 28.35], [1.56, 1.69, 3.63, -4.63, 1.29, 27.83], [1.38, 1.58, 3.49, -5.21, 1.15, 38.96], [1.43, 1.64, 4.33, -4.99, 1.08, 47.64], [1.48, 1.69, 4.52, -12.79, 1.44, 34.93]], \"ry\": [-1.56, -1.58, -1.57, -1.57, -1.58, -1.57, -1.58, -1.58, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 542,
        "data_source": "Mono3DRefer",
        "scene_name": "001539",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, 2.02, 2.38, 1.86, 2.61, 1.93], \"boxes_2d\": [[574.57, 182.91, 670.33, 274.3], [219.7, 200.99, 305.08, 237.4], [119.68, 205.96, 213.89, 243.45], [363.3, 194.03, 420.68, 222.85], [1045.08, 186.53, 1235.23, 243.78], [305.72, 197.02, 357.52, 222.11]], \"boxes_3d\": [[1.55, 1.63, 3.32, 0.17, 1.76, 14.09], [1.37, 1.82, 3.96, -15.22, 2.68, 31.76], [1.38, 1.79, 2.94, -18.56, 2.82, 30.27], [1.4, 1.75, 4.75, -12.08, 2.64, 40.19], [1.59, 1.73, 4.26, 15.62, 2.03, 21.49], [1.46, 1.81, 4.16, -18.18, 3.1, 47.25]], \"ry\": [-1.57, 1.58, 1.84, 1.57, -3.05, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 543,
        "data_source": "Mono3DRefer",
        "scene_name": "001541",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.2, 2.01, 1.89, 1.84, 1.8], \"boxes_2d\": [[0.0, 160.87, 222.17, 308.93], [255.1, 183.2, 373.8, 249.87], [383.79, 185.63, 453.65, 223.97], [440.16, 176.51, 491.11, 213.54], [471.95, 183.79, 510.1, 210.02]], \"boxes_3d\": [[2.17, 1.71, 4.33, -8.97, 2.02, 12.77], [1.73, 1.6, 4.11, -8.54, 2.05, 21.14], [1.47, 1.63, 4.11, -8.02, 2.03, 30.5], [1.8, 1.61, 3.83, -7.43, 2.01, 37.31], [1.45, 1.45, 3.4, -6.96, 2.1, 42.31]], \"ry\": [1.6, 1.63, 1.63, 1.64, 1.64]}\n```"
            }
        ]
    },
    {
        "id": 544,
        "data_source": "Mono3DRefer",
        "scene_name": "001551",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.81, 2.0, 1.79, 1.75, 1.6], \"boxes_2d\": [[672.23, 180.0, 784.83, 225.63], [221.03, 184.55, 421.05, 298.4], [448.75, 179.87, 526.85, 232.45], [477.66, 171.77, 547.55, 225.25], [517.64, 178.26, 556.55, 210.23]], \"boxes_3d\": [[1.43, 1.55, 3.91, 4.1, 1.7, 24.88], [1.45, 1.47, 3.5, -4.26, 1.64, 11.1], [1.44, 1.58, 3.35, -3.61, 1.66, 21.58], [1.74, 1.71, 4.41, -3.42, 1.73, 25.85], [1.41, 1.72, 4.41, -3.47, 1.69, 34.59]], \"ry\": [-0.65, 1.64, 1.63, 1.62, 1.5]}\n```"
            }
        ]
    },
    {
        "id": 545,
        "data_source": "Mono3DRefer",
        "scene_name": "001552",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.35, -1.82, -1.75, 1.7, -1.75, 1.61, -1.63], \"boxes_2d\": [[288.93, 196.54, 490.45, 352.28], [712.97, 168.02, 918.88, 338.6], [693.43, 185.45, 810.47, 274.68], [478.68, 191.54, 544.59, 242.61], [657.22, 189.26, 745.7, 250.49], [541.72, 186.35, 568.98, 210.47], [629.65, 179.42, 657.01, 202.11]], \"boxes_3d\": [[1.5, 1.55, 4.21, -2.69, 1.87, 9.61], [1.82, 1.65, 3.67, 2.44, 1.79, 9.6], [1.52, 1.51, 4.28, 2.7, 1.81, 14.84], [1.42, 1.57, 4.1, -3.12, 2.06, 23.26], [1.43, 1.64, 4.14, 2.34, 1.91, 19.74], [1.38, 1.53, 3.58, -3.35, 2.23, 44.35], [1.49, 1.65, 4.06, 2.25, 1.96, 50.04]], \"ry\": [-1.61, -1.58, -1.58, 1.57, -1.63, 1.53, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 546,
        "data_source": "Mono3DRefer",
        "scene_name": "001561",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.63, 1.69], \"boxes_2d\": [[544.88, 178.84, 565.51, 196.55], [507.95, 178.26, 547.3, 211.85]], \"boxes_3d\": [[1.45, 1.53, 3.98, -4.69, 1.98, 61.92], [1.65, 1.56, 3.98, -4.28, 1.94, 37.7]], \"ry\": [1.55, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 547,
        "data_source": "Mono3DRefer",
        "scene_name": "001563",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.0, 1.92, 1.85], \"boxes_2d\": [[948.33, 179.34, 1083.19, 241.05], [1041.44, 180.36, 1157.77, 230.42], [1145.95, 179.27, 1226.34, 218.06]], \"boxes_3d\": [[1.48, 1.51, 4.35, 11.02, 1.67, 19.55], [1.42, 1.68, 4.29, 15.56, 1.68, 22.91], [1.36, 1.4, 3.8, 21.94, 1.62, 27.48]], \"ry\": [2.51, 2.51, 2.52]}\n```"
            }
        ]
    },
    {
        "id": 548,
        "data_source": "Mono3DRefer",
        "scene_name": "001564",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.2, -1.3, -1.47, -1.5, -1.56, -1.77, -1.23, -1.67, -0.98, -1.36], \"boxes_2d\": [[280.24, 184.38, 381.04, 237.25], [374.59, 183.73, 435.93, 220.24], [512.79, 180.32, 546.93, 204.84], [529.69, 178.25, 555.62, 198.21], [587.63, 176.59, 614.36, 201.68], [696.75, 184.66, 804.05, 257.92], [252.39, 178.91, 449.85, 307.04], [640.39, 176.26, 679.55, 205.73], [0.0, 184.64, 221.61, 296.83], [405.09, 180.7, 504.5, 246.4]], \"boxes_3d\": [[1.4, 1.53, 3.74, -8.17, 1.4, 21.43], [1.41, 1.52, 3.8, -8.51, 1.37, 30.38], [1.36, 1.61, 3.76, -4.54, 1.08, 42.11], [1.37, 1.59, 3.89, -4.67, 0.88, 51.8], [1.58, 1.68, 3.95, -0.45, 1.03, 47.62], [1.37, 1.54, 3.56, 2.93, 1.38, 15.62], [1.57, 1.61, 3.42, -3.58, 1.48, 10.55], [1.46, 1.66, 4.04, 2.68, 1.01, 37.99], [1.45, 1.57, 3.6, -7.85, 1.46, 11.26], [1.47, 1.61, 4.16, -3.8, 1.36, 18.34]], \"ry\": [-1.56, -1.58, -1.58, -1.59, -1.57, -1.59, -1.55, -1.6, -1.57, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 549,
        "data_source": "Mono3DRefer",
        "scene_name": "001570",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.71, -0.24], \"boxes_2d\": [[975.65, 170.06, 1223.0, 337.28], [713.78, 168.52, 850.33, 211.11]], \"boxes_3d\": [[1.31, 1.61, 3.78, 5.66, 1.22, 6.45], [1.41, 1.63, 4.42, 6.18, 1.02, 25.09]], \"ry\": [-0.01, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 550,
        "data_source": "Mono3DRefer",
        "scene_name": "001575",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.58, 1.45], \"boxes_2d\": [[491.95, 187.1, 531.67, 228.79], [470.38, 188.77, 505.81, 213.86]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.37, 2.34, 32.02], [1.47, 1.7, 4.39, -7.88, 2.52, 46.2]], \"ry\": [1.45, 1.28]}\n```"
            }
        ]
    },
    {
        "id": 551,
        "data_source": "Mono3DRefer",
        "scene_name": "001577",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.43, 2.9, 2.95], \"boxes_2d\": [[359.82, 179.94, 425.4, 203.66], [491.31, 172.41, 541.74, 194.71], [443.6, 178.49, 494.3, 197.17]], \"boxes_3d\": [[1.6, 1.66, 4.49, -15.55, 2.13, 51.74], [1.78, 1.67, 3.85, -7.78, 1.77, 59.92], [1.59, 1.76, 4.18, -12.63, 2.12, 64.51]], \"ry\": [2.14, 2.77, 2.76]}\n```"
            }
        ]
    },
    {
        "id": 552,
        "data_source": "Mono3DRefer",
        "scene_name": "001578",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.29, 2.95, -1.55, 1.22], \"boxes_2d\": [[781.21, 181.18, 868.84, 234.35], [655.2, 173.5, 749.38, 206.86], [575.24, 176.89, 603.89, 203.29], [797.65, 184.73, 1051.5, 332.66]], \"boxes_3d\": [[1.45, 1.51, 3.7, 6.33, 1.71, 21.74], [1.51, 1.65, 4.21, 4.34, 1.57, 34.49], [1.43, 1.55, 3.91, -1.16, 1.68, 41.43], [1.52, 1.61, 4.23, 3.82, 1.7, 9.73]], \"ry\": [1.57, 3.07, -1.58, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 553,
        "data_source": "Mono3DRefer",
        "scene_name": "001580",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -2.19, -2.21, 1.0, -1.47, -1.72, -1.65, 2.08, -1.58, 2.1], \"boxes_2d\": [[579.33, 182.18, 637.23, 229.54], [271.96, 183.99, 440.07, 255.83], [340.72, 187.76, 475.06, 244.18], [401.06, 181.15, 488.34, 223.47], [505.27, 187.23, 566.64, 227.74], [669.93, 179.59, 751.31, 236.35], [630.77, 179.16, 657.78, 200.21], [105.31, 189.85, 264.4, 260.12], [589.65, 178.27, 628.69, 213.9], [88.49, 185.03, 196.54, 231.02]], \"boxes_3d\": [[1.36, 1.69, 3.38, -0.1, 1.67, 22.88], [1.45, 1.61, 3.96, -5.91, 1.72, 16.51], [1.36, 1.57, 3.73, -5.55, 1.78, 19.48], [1.48, 1.57, 3.48, -6.32, 1.81, 27.23], [1.25, 1.74, 3.66, -2.53, 1.78, 25.03], [1.46, 1.72, 3.95, 2.75, 1.67, 20.78], [1.38, 1.55, 3.6, 2.3, 1.83, 49.64], [1.35, 1.59, 3.41, -9.39, 1.76, 16.17], [1.52, 1.67, 3.61, -0.09, 1.78, 32.86], [1.32, 1.43, 3.25, -14.8, 1.73, 22.96]], \"ry\": [-1.58, -2.53, -2.48, 0.78, -1.57, -1.59, -1.6, 1.56, -1.58, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 554,
        "data_source": "Mono3DRefer",
        "scene_name": "001582",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.68, 1.74, -0.84], \"boxes_2d\": [[453.27, 182.24, 544.5, 254.44], [519.58, 168.82, 584.9, 215.89], [620.59, 171.61, 671.8, 200.04]], \"boxes_3d\": [[1.46, 1.63, 4.47, -2.54, 1.7, 17.17], [1.7, 1.82, 4.45, -2.22, 1.58, 28.46], [1.57, 1.56, 2.62, 2.06, 1.52, 41.37]], \"ry\": [1.53, 1.66, -0.79]}\n```"
            }
        ]
    },
    {
        "id": 555,
        "data_source": "Mono3DRefer",
        "scene_name": "001583",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.59, 0.41, -2.7, -1.81, -2.79, 0.43, -2.82, 0.28, -2.95, -1.68, -1.71, -1.63, -1.86, -2.46], \"boxes_2d\": [[36.4, 178.67, 323.82, 286.16], [186.72, 157.67, 431.3, 255.6], [153.89, 172.97, 375.94, 271.23], [700.09, 179.46, 826.08, 262.58], [254.13, 161.69, 422.78, 243.01], [310.93, 175.39, 457.48, 236.24], [316.35, 170.99, 471.34, 229.45], [399.71, 171.28, 506.84, 210.62], [433.66, 164.2, 519.77, 204.83], [649.54, 174.79, 694.8, 210.17], [677.9, 175.42, 759.76, 238.11], [638.05, 169.71, 671.54, 199.45], [734.87, 155.48, 1001.33, 345.26], [0.0, 189.52, 271.67, 333.04]], \"boxes_3d\": [[1.5, 1.58, 3.47, -6.49, 1.61, 11.05], [1.95, 1.64, 4.57, -6.38, 1.67, 15.48], [1.66, 1.58, 3.31, -6.26, 1.69, 13.23], [1.44, 1.66, 3.25, 2.85, 1.58, 14.28], [1.87, 1.61, 3.53, -6.62, 1.64, 17.73], [1.59, 1.56, 3.5, 0.52, 1.68, 19.82], [1.72, 1.65, 4.33, 0.0, 1.69, 22.54], [1.57, 1.54, 4.1, -6.55, 1.53, 30.21], [1.89, 1.59, 3.87, -6.46, 1.51, 35.07], [1.45, 1.59, 3.59, 2.65, 1.56, 31.78], [1.54, 1.67, 3.72, 2.84, 1.63, 19.77], [1.66, 1.74, 3.65, 2.57, 1.51, 42.53], [1.76, 1.71, 4.35, 2.75, 1.63, 8.92], [1.49, 1.61, 3.87, -6.35, 1.72, 8.5]], \"ry\": [-3.11, 0.03, -3.13, -1.61, -3.14, 0.13, -3.1, 0.07, -3.13, -1.59, -1.57, -1.57, -1.57, -3.09]}\n```"
            }
        ]
    },
    {
        "id": 556,
        "data_source": "Mono3DRefer",
        "scene_name": "001584",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.95, 1.72, 2.02, 1.9], \"boxes_2d\": [[785.11, 193.9, 1221.92, 374.0], [477.25, 184.13, 532.08, 220.48], [132.55, 199.4, 379.72, 334.14], [309.39, 191.21, 450.68, 274.0]], \"boxes_3d\": [[1.41, 1.64, 3.77, 2.66, 1.63, 6.01], [1.43, 1.76, 3.97, -4.52, 1.94, 31.21], [1.49, 1.61, 3.94, -4.9, 1.94, 10.56], [1.48, 1.66, 3.9, -4.8, 1.91, 15.49]], \"ry\": [-1.55, 1.58, 1.59, 1.61]}\n```"
            }
        ]
    },
    {
        "id": 557,
        "data_source": "Mono3DRefer",
        "scene_name": "001588",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.0], \"boxes_2d\": [[314.33, 185.35, 369.1, 211.79]], \"boxes_3d\": [[1.45, 1.74, 3.42, -15.75, 2.21, 42.43]], \"ry\": [1.65]}\n```"
            }
        ]
    },
    {
        "id": 558,
        "data_source": "Mono3DRefer",
        "scene_name": "001593",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.16, -2.31, -1.85, 1.75, 1.68, 1.68, 1.82], \"boxes_2d\": [[0.0, 215.25, 377.01, 374.0], [904.49, 203.93, 1241.0, 374.0], [732.71, 198.08, 987.43, 374.0], [470.51, 192.98, 554.49, 261.94], [519.79, 178.96, 583.62, 241.11], [559.51, 179.97, 611.5, 226.96], [619.92, 190.28, 660.62, 216.34]], \"boxes_3d\": [[1.44, 1.63, 3.32, -2.58, 1.75, 3.63], [1.55, 1.55, 3.27, 2.77, 1.75, 3.14], [1.48, 1.6, 3.79, 2.48, 1.83, 8.24], [1.56, 1.55, 3.64, -2.49, 2.13, 18.91], [1.91, 1.66, 4.22, -1.92, 2.12, 24.41], [1.83, 1.69, 4.28, -0.99, 2.14, 30.38], [1.51, 1.63, 4.03, 1.95, 2.66, 45.8]], \"ry\": [1.57, -1.64, -1.57, 1.62, 1.61, 1.65, 1.86]}\n```"
            }
        ]
    },
    {
        "id": 559,
        "data_source": "Mono3DRefer",
        "scene_name": "001598",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.66], \"boxes_2d\": [[529.66, 171.82, 555.18, 194.65]], \"boxes_3d\": [[1.65, 1.56, 3.98, -5.09, 1.6, 54.53]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 560,
        "data_source": "Mono3DRefer",
        "scene_name": "001604",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, 1.97, 1.85, -0.89, -0.93, -0.87], \"boxes_2d\": [[591.78, 176.65, 634.94, 217.45], [315.91, 183.97, 388.42, 220.4], [362.22, 180.22, 422.8, 214.34], [671.6, 173.81, 751.11, 210.59], [668.46, 176.2, 745.19, 208.99], [649.87, 176.46, 724.45, 204.46]], \"boxes_3d\": [[1.56, 1.65, 3.69, 0.11, 1.73, 29.7], [1.4, 1.54, 3.67, -10.75, 1.88, 30.23], [1.56, 1.7, 4.41, -10.68, 1.94, 35.63], [1.53, 1.57, 3.54, 4.47, 1.58, 31.82], [1.5, 1.64, 3.99, 4.74, 1.68, 35.2], [1.4, 1.65, 4.18, 4.15, 1.62, 38.66]], \"ry\": [-1.56, 1.63, 1.56, -0.75, -0.8, -0.76]}\n```"
            }
        ]
    },
    {
        "id": 561,
        "data_source": "Mono3DRefer",
        "scene_name": "001606",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.65, 1.74, -2.86], \"boxes_2d\": [[569.32, 177.9, 615.36, 214.86], [594.12, 169.32, 637.85, 200.14], [309.3, 173.8, 495.92, 236.16]], \"boxes_3d\": [[1.46, 1.63, 4.47, -0.73, 1.7, 31.13], [1.7, 1.82, 4.45, 0.39, 1.53, 42.31], [1.47, 1.68, 4.26, -5.21, 1.52, 18.36]], \"ry\": [1.62, 1.75, -3.14]}\n```"
            }
        ]
    },
    {
        "id": 562,
        "data_source": "Mono3DRefer",
        "scene_name": "001610",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.03, -1.28, -1.75, -1.36, 1.69, 1.67, -1.68], \"boxes_2d\": [[796.85, 184.16, 1241.0, 374.0], [258.92, 201.75, 435.77, 307.55], [683.79, 181.03, 782.86, 255.45], [407.04, 183.36, 498.75, 248.85], [486.83, 183.19, 530.45, 218.86], [518.1, 184.21, 548.86, 206.4], [648.45, 175.54, 695.7, 214.56]], \"boxes_3d\": [[1.49, 1.71, 3.58, 2.84, 1.6, 5.86], [1.39, 1.81, 3.46, -4.23, 1.94, 12.09], [1.47, 1.55, 3.37, 2.61, 1.66, 16.15], [1.72, 1.8, 4.16, -4.56, 2.05, 21.38], [1.62, 1.66, 3.81, -4.94, 2.14, 35.34], [1.46, 1.67, 4.92, -5.42, 2.29, 51.42], [1.61, 1.67, 3.62, 2.65, 1.75, 31.89]], \"ry\": [-1.6, -1.61, -1.6, -1.57, 1.55, 1.57, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 563,
        "data_source": "Mono3DRefer",
        "scene_name": "001619",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.83], \"boxes_2d\": [[727.62, 181.95, 929.59, 305.85]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.84, 1.55, 10.54]], \"ry\": [-1.58]}\n```"
            }
        ]
    },
    {
        "id": 564,
        "data_source": "Mono3DRefer",
        "scene_name": "001626",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-3.02], \"boxes_2d\": [[448.62, 185.48, 517.58, 209.22]], \"boxes_3d\": [[1.47, 1.74, 4.26, -8.31, 2.33, 47.36]], \"ry\": [3.09]}\n```"
            }
        ]
    },
    {
        "id": 565,
        "data_source": "Mono3DRefer",
        "scene_name": "001629",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.65], \"boxes_2d\": [[617.16, 181.63, 703.89, 260.51]], \"boxes_3d\": [[1.46, 1.53, 3.17, 0.92, 1.65, 15.14]], \"ry\": [-1.59]}\n```"
            }
        ]
    },
    {
        "id": 566,
        "data_source": "Mono3DRefer",
        "scene_name": "001634",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.27, 2.26, 1.77, -1.65, 1.76, 1.71, -0.97, -1.02, -1.05, -1.11], \"boxes_2d\": [[987.33, 189.54, 1241.0, 374.0], [0.0, 214.97, 197.03, 374.0], [430.63, 188.45, 485.45, 226.37], [650.53, 174.55, 695.9, 209.69], [458.42, 186.28, 505.31, 216.88], [489.59, 179.45, 526.62, 209.94], [66.41, 204.45, 153.77, 236.54], [118.77, 202.56, 197.3, 233.74], [159.73, 198.14, 243.17, 231.88], [216.31, 198.79, 289.44, 232.43]], \"boxes_3d\": [[1.41, 1.57, 3.16, 2.88, 1.5, 2.67], [1.53, 1.56, 3.58, -5.99, 2.04, 7.19], [1.42, 1.54, 3.5, -6.24, 2.09, 29.78], [1.51, 1.75, 3.78, 2.83, 1.62, 33.32], [1.36, 1.51, 4.02, -6.22, 2.04, 35.23], [1.74, 1.65, 4.11, -6.13, 2.15, 43.57], [1.43, 1.8, 3.96, -25.92, 3.15, 37.54], [1.4, 1.6, 3.97, -23.46, 3.02, 37.57], [1.49, 1.7, 4.51, -20.84, 2.86, 36.98], [1.5, 1.56, 4.45, -18.33, 2.9, 37.19]], \"ry\": [-1.5, 1.59, 1.56, -1.57, 1.58, 1.57, -1.57, -1.57, -1.56, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 567,
        "data_source": "Mono3DRefer",
        "scene_name": "001639",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.44], \"boxes_2d\": [[795.49, 174.34, 860.8, 201.49]], \"boxes_3d\": [[1.48, 1.36, 3.51, 12.41, 1.59, 41.3]], \"ry\": [-2.15]}\n```"
            }
        ]
    },
    {
        "id": 568,
        "data_source": "Mono3DRefer",
        "scene_name": "001646",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.92, -0.92, -1.58, 2.1, 1.95, -0.96, -0.93], \"boxes_2d\": [[669.02, 179.16, 768.17, 218.35], [660.41, 176.69, 745.31, 215.51], [594.28, 178.84, 636.54, 218.8], [154.91, 190.02, 286.82, 248.18], [256.97, 183.17, 356.95, 232.68], [707.05, 174.7, 820.99, 230.5], [695.77, 177.37, 805.38, 224.96]], \"boxes_3d\": [[1.4, 1.65, 4.18, 4.3, 1.67, 28.4], [1.59, 1.65, 3.94, 4.11, 1.78, 31.82], [1.56, 1.65, 3.69, 0.18, 1.82, 30.3], [1.4, 1.54, 3.67, -10.66, 1.91, 19.98], [1.56, 1.7, 4.41, -10.59, 1.94, 25.48], [1.53, 1.57, 3.54, 4.63, 1.6, 21.62], [1.5, 1.64, 3.99, 4.88, 1.67, 24.93]], \"ry\": [-0.77, -0.79, -1.57, 1.62, 1.56, -0.75, -0.74]}\n```"
            }
        ]
    },
    {
        "id": 569,
        "data_source": "Mono3DRefer",
        "scene_name": "001652",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.44], \"boxes_2d\": [[603.95, 186.24, 646.19, 216.13]], \"boxes_3d\": [[1.44, 1.66, 4.53, 0.83, 2.17, 38.19]], \"ry\": [-1.42]}\n```"
            }
        ]
    },
    {
        "id": 570,
        "data_source": "Mono3DRefer",
        "scene_name": "001656",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-2.2, 1.26, 2.21], \"boxes_2d\": [[853.47, 200.96, 1241.0, 374.0], [727.09, 185.84, 999.42, 357.62], [517.99, 176.68, 685.76, 257.05]], \"boxes_3d\": [[1.38, 1.58, 3.66, 2.5, 1.57, 3.28], [1.42, 1.6, 3.78, 2.43, 1.59, 8.05], [1.57, 1.65, 4.1, -0.09, 1.68, 16.35]], \"ry\": [-1.59, 1.54, 2.2]}\n```"
            }
        ]
    },
    {
        "id": 571,
        "data_source": "Mono3DRefer",
        "scene_name": "001662",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.92, 2.07, 1.78, 1.73, -1.62], \"boxes_2d\": [[875.07, 106.85, 1241.0, 374.0], [0.0, 207.76, 337.87, 374.0], [351.92, 197.74, 469.76, 274.84], [424.68, 179.27, 505.3, 242.2], [603.45, 177.11, 637.32, 207.61]], \"boxes_3d\": [[1.79, 1.72, 4.35, 3.65, 1.49, 5.18], [1.45, 1.49, 4.07, -3.94, 1.84, 6.42], [1.27, 1.54, 3.58, -3.94, 1.83, 14.65], [1.63, 1.65, 3.91, -4.13, 1.83, 20.9], [1.46, 1.53, 3.17, 0.46, 1.69, 36.52]], \"ry\": [1.5, 1.54, 1.53, 1.54, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 572,
        "data_source": "Mono3DRefer",
        "scene_name": "001666",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.95, -2.84, 1.39, 1.58], \"boxes_2d\": [[762.07, 184.98, 1125.99, 374.0], [358.14, 177.26, 452.16, 218.74], [686.54, 166.43, 729.36, 198.46], [564.78, 178.69, 590.74, 203.86]], \"boxes_3d\": [[1.56, 1.57, 3.98, 2.7, 1.7, 7.0], [1.61, 1.57, 3.35, -8.33, 1.81, 29.37], [1.79, 1.72, 4.35, 5.73, 1.46, 42.86], [1.45, 1.49, 4.07, -1.97, 1.82, 43.99]], \"ry\": [-1.6, -3.11, 1.52, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 573,
        "data_source": "Mono3DRefer",
        "scene_name": "001675",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.0], \"boxes_2d\": [[245.71, 192.25, 326.34, 227.95]], \"boxes_3d\": [[1.46, 1.86, 4.01, -14.81, 2.39, 33.14]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 574,
        "data_source": "Mono3DRefer",
        "scene_name": "001677",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.16, 1.86], \"boxes_2d\": [[0.0, 195.97, 226.01, 293.89], [376.64, 182.08, 441.96, 220.0]], \"boxes_3d\": [[1.48, 1.6, 3.9, -9.14, 1.97, 13.61], [1.61, 1.67, 4.56, -9.23, 2.05, 33.42]], \"ry\": [1.58, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 575,
        "data_source": "Mono3DRefer",
        "scene_name": "001685",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.8, -1.93, 0.64], \"boxes_2d\": [[815.22, 172.08, 911.67, 236.95], [899.78, 174.45, 1017.82, 231.57], [0.0, 188.25, 140.87, 245.0]], \"boxes_3d\": [[1.55, 1.57, 3.64, 6.59, 1.56, 19.23], [1.33, 1.47, 3.83, 8.91, 1.39, 18.85], [1.76, 1.56, 4.01, -18.08, 2.3, 23.87]], \"ry\": [-1.48, -1.49, -0.0]}\n```"
            }
        ]
    },
    {
        "id": 576,
        "data_source": "Mono3DRefer",
        "scene_name": "001691",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.54, -1.91, 1.77, -1.75], \"boxes_2d\": [[694.29, 181.46, 721.01, 205.97], [775.56, 182.64, 1040.16, 349.6], [548.44, 183.54, 614.62, 229.98], [753.01, 153.67, 876.6, 281.05]], \"boxes_3d\": [[1.54, 1.63, 3.67, 6.5, 2.13, 47.99], [1.58, 1.67, 3.84, 3.27, 1.72, 8.88], [1.53, 1.67, 3.78, -0.99, 1.93, 26.06], [2.05, 1.5, 3.83, 3.65, 1.77, 13.6]], \"ry\": [-1.4, -1.56, 1.73, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 577,
        "data_source": "Mono3DRefer",
        "scene_name": "001698",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.64, 1.73], \"boxes_2d\": [[536.09, 179.83, 562.46, 201.92], [469.01, 178.69, 529.97, 227.77]], \"boxes_3d\": [[1.45, 1.53, 3.98, -4.2, 1.95, 50.02], [1.65, 1.56, 3.98, -4.0, 1.87, 26.42]], \"ry\": [1.56, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 578,
        "data_source": "Mono3DRefer",
        "scene_name": "001703",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.54, 1.44], \"boxes_2d\": [[529.6, 182.07, 563.56, 216.64], [500.24, 183.64, 528.7, 202.99]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.38, 2.17, 37.61], [1.47, 1.7, 4.39, -7.74, 2.35, 58.02]], \"ry\": [1.45, 1.31]}\n```"
            }
        ]
    },
    {
        "id": 579,
        "data_source": "Mono3DRefer",
        "scene_name": "001715",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.65], \"boxes_2d\": [[541.08, 179.47, 571.06, 201.81]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.66, 1.91, 49.29]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 580,
        "data_source": "Mono3DRefer",
        "scene_name": "001727",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.02], \"boxes_2d\": [[200.64, 188.13, 300.08, 235.77]], \"boxes_3d\": [[1.6, 1.79, 3.91, -13.42, 2.21, 27.12]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 581,
        "data_source": "Mono3DRefer",
        "scene_name": "001728",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.08], \"boxes_2d\": [[91.01, 200.84, 222.95, 259.01]], \"boxes_3d\": [[1.35, 1.5, 3.64, -12.48, 2.19, 20.08]], \"ry\": [1.53]}\n```"
            }
        ]
    },
    {
        "id": 582,
        "data_source": "Mono3DRefer",
        "scene_name": "001729",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.2, -1.69], \"boxes_2d\": [[1025.57, 211.79, 1241.0, 374.0], [786.34, 187.45, 849.86, 232.24]], \"boxes_3d\": [[1.4, 1.64, 3.73, 3.34, 1.65, 3.0], [1.4, 1.61, 4.37, 7.26, 1.95, 25.65]], \"ry\": [-1.41, -1.42]}\n```"
            }
        ]
    },
    {
        "id": 583,
        "data_source": "Mono3DRefer",
        "scene_name": "001733",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.66, -1.82, -1.39, -1.71, -1.4, 1.68], \"boxes_2d\": [[634.65, 179.26, 673.28, 211.63], [703.35, 182.68, 865.92, 289.41], [380.31, 193.92, 479.25, 258.68], [656.98, 182.59, 723.24, 235.11], [448.34, 182.73, 515.19, 232.26], [497.47, 184.78, 534.26, 215.11]], \"boxes_3d\": [[1.61, 1.67, 3.62, 2.24, 1.96, 38.07], [1.49, 1.71, 3.58, 2.68, 1.67, 12.08], [1.39, 1.81, 3.46, -4.47, 1.97, 18.21], [1.47, 1.55, 3.37, 2.36, 1.79, 22.28], [1.72, 1.8, 4.16, -4.84, 2.11, 27.54], [1.62, 1.66, 3.81, -5.38, 2.33, 41.43]], \"ry\": [-1.61, -1.61, -1.63, -1.6, -1.57, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 584,
        "data_source": "Mono3DRefer",
        "scene_name": "001739",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.54, 1.46], \"boxes_2d\": [[537.25, 189.24, 569.33, 222.81], [506.07, 189.61, 530.59, 207.34]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.18, 2.61, 39.54], [1.47, 1.7, 4.39, -8.27, 3.0, 64.72]], \"ry\": [1.46, 1.33]}\n```"
            }
        ]
    },
    {
        "id": 585,
        "data_source": "Mono3DRefer",
        "scene_name": "001750",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.19, 2.23, 1.95, 2.01, 1.83], \"boxes_2d\": [[0.0, 192.42, 148.33, 258.77], [0.0, 191.38, 107.95, 249.14], [278.39, 183.08, 348.83, 219.49], [241.18, 181.83, 311.79, 216.76], [410.39, 179.97, 446.93, 201.04]], \"boxes_3d\": [[1.48, 1.61, 3.39, -13.83, 2.03, 18.61], [1.44, 1.79, 4.32, -16.82, 2.01, 20.69], [1.6, 1.78, 3.86, -13.99, 2.1, 34.2], [1.65, 1.77, 3.85, -16.82, 2.12, 36.51], [1.58, 1.82, 3.87, -14.2, 2.15, 56.62]], \"ry\": [1.56, 1.56, 1.56, 1.58, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 586,
        "data_source": "Mono3DRefer",
        "scene_name": "001752",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.84], \"boxes_2d\": [[427.03, 183.84, 459.93, 201.11]], \"boxes_3d\": [[1.46, 1.86, 4.01, -14.84, 2.46, 64.43]], \"ry\": [1.61]}\n```"
            }
        ]
    },
    {
        "id": 587,
        "data_source": "Mono3DRefer",
        "scene_name": "001759",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.66, -1.76, -1.85, -2.14, -2.52], \"boxes_2d\": [[635.76, 174.97, 667.37, 200.28], [684.66, 170.61, 764.99, 233.79], [755.79, 185.2, 908.81, 283.88], [946.12, 182.23, 1209.36, 288.27], [820.71, 175.86, 891.13, 204.14]], \"boxes_3d\": [[1.5, 1.62, 3.89, 2.54, 1.66, 45.3], [1.69, 1.58, 3.95, 3.28, 1.66, 21.5], [1.41, 1.57, 3.23, 3.54, 1.64, 12.19], [1.45, 1.61, 4.2, 7.46, 1.62, 12.16], [1.48, 1.36, 3.51, 13.47, 1.67, 39.73]], \"ry\": [-1.6, -1.62, -1.57, -1.6, -2.2]}\n```"
            }
        ]
    },
    {
        "id": 588,
        "data_source": "Mono3DRefer",
        "scene_name": "001762",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.14, 1.91], \"boxes_2d\": [[81.75, 190.51, 214.47, 243.57], [317.82, 183.64, 379.79, 217.04]], \"boxes_3d\": [[1.56, 1.7, 4.35, -15.52, 2.2, 24.48], [1.6, 1.79, 3.91, -13.45, 2.18, 37.31]], \"ry\": [1.58, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 589,
        "data_source": "Mono3DRefer",
        "scene_name": "001772",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.23, -1.85, -1.78, 1.41], \"boxes_2d\": [[0.0, 194.3, 349.61, 374.0], [717.45, 176.93, 914.92, 314.61], [672.86, 178.84, 781.32, 258.58], [663.95, 167.76, 697.64, 193.79]], \"boxes_3d\": [[1.55, 1.68, 4.42, -2.79, 1.7, 3.16], [1.6, 1.53, 4.18, 2.69, 1.67, 10.56], [1.56, 1.57, 3.98, 2.46, 1.71, 16.33], [1.79, 1.72, 4.35, 5.06, 1.47, 52.23]], \"ry\": [1.55, -1.61, -1.63, 1.5]}\n```"
            }
        ]
    },
    {
        "id": 590,
        "data_source": "Mono3DRefer",
        "scene_name": "001778",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.67, 1.75, -0.62, -2.55], \"boxes_2d\": [[487.04, 175.06, 560.72, 233.28], [534.48, 165.26, 593.34, 206.92], [607.24, 166.76, 657.74, 193.53], [0.0, 176.38, 278.1, 332.98]], \"boxes_3d\": [[1.46, 1.63, 4.47, -2.39, 1.55, 20.61], [1.7, 1.82, 4.45, -1.98, 1.42, 31.89], [1.57, 1.56, 2.62, 1.34, 1.22, 43.74], [1.47, 1.68, 4.26, -6.11, 1.53, 7.69]], \"ry\": [1.55, 1.69, -0.59, 3.08]}\n```"
            }
        ]
    },
    {
        "id": 591,
        "data_source": "Mono3DRefer",
        "scene_name": "001779",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.4, -2.79, -1.01, -2.13, -2.3, 0.56], \"boxes_2d\": [[0.0, 194.78, 220.47, 374.0], [48.82, 190.67, 366.54, 285.48], [1194.01, 166.76, 1241.0, 374.0], [1004.94, 155.99, 1192.67, 258.77], [1115.1, 151.35, 1241.0, 254.6], [157.98, 184.38, 341.44, 240.76]], \"boxes_3d\": [[1.47, 1.67, 4.28, -6.37, 1.72, 6.91], [1.38, 1.67, 4.37, -6.59, 1.71, 12.17], [1.54, 1.58, 3.2, 4.71, 1.49, 3.14], [1.54, 1.44, 2.54, 8.04, 1.31, 12.17], [1.59, 1.8, 3.41, 10.53, 1.26, 12.06], [1.42, 1.41, 4.3, -9.61, 1.75, 19.26]], \"ry\": [-3.12, 3.0, -0.07, -1.56, -1.59, 0.11]}\n```"
            }
        ]
    },
    {
        "id": 592,
        "data_source": "Mono3DRefer",
        "scene_name": "001783",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.57], \"boxes_2d\": [[605.42, 181.13, 634.74, 208.5]], \"boxes_3d\": [[1.5, 1.62, 4.19, 0.56, 2.0, 42.25]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 593,
        "data_source": "Mono3DRefer",
        "scene_name": "001784",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.92, 1.75], \"boxes_2d\": [[188.9, 193.27, 446.76, 351.87], [430.05, 181.92, 525.87, 252.98]], \"boxes_3d\": [[1.44, 1.62, 3.67, -3.27, 1.73, 8.76], [1.51, 1.62, 3.68, -3.12, 1.75, 17.46]], \"ry\": [1.58, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 594,
        "data_source": "Mono3DRefer",
        "scene_name": "001807",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.88], \"boxes_2d\": [[379.68, 184.9, 424.23, 209.63]], \"boxes_3d\": [[1.48, 1.71, 3.54, -13.26, 2.27, 46.1]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 595,
        "data_source": "Mono3DRefer",
        "scene_name": "001809",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.65], \"boxes_2d\": [[513.12, 177.54, 548.99, 208.95]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.52, 1.99, 41.53]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 596,
        "data_source": "Mono3DRefer",
        "scene_name": "001811",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.59, 1.78], \"boxes_2d\": [[680.88, 174.29, 845.64, 248.43], [337.45, 200.21, 526.35, 353.54]], \"boxes_3d\": [[1.62, 1.47, 3.66, 3.64, 1.67, 17.34], [1.38, 1.43, 3.64, -2.0, 1.78, 8.87]], \"ry\": [-0.38, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 597,
        "data_source": "Mono3DRefer",
        "scene_name": "001824",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.04, 1.87], \"boxes_2d\": [[199.72, 188.3, 291.62, 229.29], [364.04, 182.24, 413.35, 210.1]], \"boxes_3d\": [[1.56, 1.7, 4.35, -15.46, 2.26, 30.82], [1.6, 1.79, 3.91, -13.5, 2.19, 44.15]], \"ry\": [1.58, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 598,
        "data_source": "Mono3DRefer",
        "scene_name": "001829",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.66, 1.84, 1.78, 1.63, 1.92], \"boxes_2d\": [[984.27, 173.21, 1030.24, 203.05], [791.69, 180.56, 888.5, 233.92], [870.14, 181.23, 929.61, 219.4], [934.38, 177.11, 971.43, 204.61], [709.74, 180.08, 836.63, 253.17]], \"boxes_3d\": [[1.46, 1.74, 3.99, 20.59, 1.49, 37.38], [1.42, 1.68, 4.29, 7.0, 1.67, 21.78], [1.36, 1.4, 3.8, 11.32, 1.7, 28.13], [1.44, 1.65, 2.96, 18.84, 1.69, 39.64], [1.48, 1.51, 4.35, 3.94, 1.67, 17.04]], \"ry\": [2.16, 2.15, 2.16, 2.07, 2.14]}\n```"
            }
        ]
    },
    {
        "id": 599,
        "data_source": "Mono3DRefer",
        "scene_name": "001832",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.86, 2.21], \"boxes_2d\": [[301.96, 181.15, 511.37, 329.23], [0.0, 181.49, 313.33, 374.0]], \"boxes_3d\": [[1.57, 1.54, 4.01, -2.5, 1.69, 9.72], [1.65, 1.75, 3.39, -2.52, 1.69, 2.5]], \"ry\": [1.61, 1.47]}\n```"
            }
        ]
    },
    {
        "id": 600,
        "data_source": "Mono3DRefer",
        "scene_name": "001842",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.47, 1.92, 1.87, -1.6, 2.76], \"boxes_2d\": [[610.43, 177.52, 638.81, 200.51], [450.64, 183.63, 504.73, 215.6], [479.0, 175.05, 525.53, 209.84], [657.28, 174.48, 685.44, 200.55], [946.64, 163.36, 1032.23, 192.21]], \"boxes_3d\": [[1.54, 1.63, 3.67, 1.04, 1.89, 50.75], [1.56, 1.59, 3.69, -6.88, 2.14, 37.71], [1.93, 1.59, 4.01, -6.29, 2.08, 42.34], [1.58, 1.67, 3.84, 3.87, 1.71, 46.17], [1.39, 1.51, 3.49, 19.06, 0.95, 36.4]], \"ry\": [-1.45, 1.74, 1.72, -1.51, -3.04]}\n```"
            }
        ]
    },
    {
        "id": 601,
        "data_source": "Mono3DRefer",
        "scene_name": "001856",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.3, -1.71, -1.41, -1.81, -1.54], \"boxes_2d\": [[268.24, 192.18, 488.76, 324.62], [654.58, 169.64, 721.8, 219.87], [444.19, 178.7, 530.52, 241.17], [705.57, 169.71, 876.51, 293.87], [630.36, 171.44, 661.62, 197.3]], \"boxes_3d\": [[1.33, 1.71, 4.09, -2.87, 1.64, 9.78], [1.49, 1.56, 4.34, 2.45, 1.43, 23.82], [1.42, 1.53, 4.12, -3.1, 1.59, 18.7], [1.59, 1.59, 3.89, 2.57, 1.58, 11.33], [1.38, 1.64, 3.51, 2.03, 1.33, 40.58]], \"ry\": [-1.58, -1.61, -1.57, -1.6, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 602,
        "data_source": "Mono3DRefer",
        "scene_name": "001860",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.4, -2.57, 3.04, 2.94, 3.02, 3.07, 1.77], \"boxes_2d\": [[0.0, 174.15, 122.61, 318.73], [0.0, 185.07, 254.96, 290.84], [146.68, 180.65, 342.92, 259.2], [193.59, 179.49, 364.02, 252.01], [312.4, 179.28, 393.38, 223.97], [338.95, 179.16, 445.81, 221.14], [456.44, 178.68, 496.4, 208.54]], \"boxes_3d\": [[1.69, 1.77, 3.51, -8.71, 1.73, 9.32], [1.61, 1.66, 3.86, -8.37, 1.84, 12.15], [1.59, 1.71, 3.9, -8.47, 1.8, 16.74], [1.73, 1.69, 3.88, -8.85, 1.93, 19.3], [1.43, 1.57, 2.43, -8.84, 1.67, 24.68], [1.48, 1.74, 3.77, -8.33, 1.74, 27.46], [1.55, 1.54, 3.06, -7.28, 1.88, 39.37]], \"ry\": [-3.14, 3.11, 2.57, 2.52, 2.68, 2.78, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 603,
        "data_source": "Mono3DRefer",
        "scene_name": "001866",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-3.0], \"boxes_2d\": [[427.53, 187.28, 505.74, 214.12]], \"boxes_3d\": [[1.47, 1.74, 4.26, -8.35, 2.34, 42.15]], \"ry\": [3.09]}\n```"
            }
        ]
    },
    {
        "id": 604,
        "data_source": "Mono3DRefer",
        "scene_name": "001867",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.28, -2.17, 1.37, 1.77, -1.71, 1.45, 2.81], \"boxes_2d\": [[0.0, 184.99, 301.76, 374.0], [867.24, 207.12, 1241.0, 374.0], [694.62, 183.25, 824.53, 270.59], [381.45, 182.87, 501.05, 263.9], [672.15, 179.79, 748.54, 234.79], [659.26, 176.02, 719.76, 221.17], [776.87, 165.28, 864.85, 196.73]], \"boxes_3d\": [[1.48, 1.64, 3.95, -3.3, 1.56, 3.66], [1.35, 1.64, 3.84, 2.74, 1.6, 3.62], [1.42, 1.59, 4.19, 2.69, 1.64, 14.08], [1.42, 1.64, 3.63, -3.34, 1.64, 14.71], [1.38, 1.58, 3.66, 2.66, 1.58, 20.11], [1.42, 1.6, 3.78, 2.62, 1.55, 24.82], [1.57, 1.65, 4.1, 11.01, 1.21, 37.93]], \"ry\": [1.58, -1.56, 1.56, 1.55, -1.58, 1.56, 3.09]}\n```"
            }
        ]
    },
    {
        "id": 605,
        "data_source": "Mono3DRefer",
        "scene_name": "001871",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.67], \"boxes_2d\": [[519.67, 182.57, 559.91, 212.03]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.69, 1.97, 38.19]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 606,
        "data_source": "Mono3DRefer",
        "scene_name": "001875",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.13, 1.68], \"boxes_2d\": [[12.47, 190.45, 259.48, 296.18], [497.72, 177.27, 525.28, 197.6]], \"boxes_3d\": [[1.49, 1.71, 3.94, -7.99, 1.83, 12.6], [1.56, 1.73, 4.21, -7.94, 1.94, 58.3]], \"ry\": [1.58, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 607,
        "data_source": "Mono3DRefer",
        "scene_name": "001885",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.31, 2.53, 2.78, 3.06], \"boxes_2d\": [[221.36, 181.01, 312.24, 214.34], [390.32, 173.24, 455.28, 201.61], [338.79, 177.48, 404.59, 200.59], [501.44, 169.9, 567.89, 192.15]], \"boxes_3d\": [[1.6, 1.66, 4.49, -17.72, 2.04, 37.43], [1.78, 1.67, 3.85, -12.27, 1.82, 47.35], [1.59, 1.76, 4.18, -17.32, 1.95, 52.44], [1.66, 1.57, 5.04, -5.93, 1.47, 56.47]], \"ry\": [1.87, 2.28, 2.46, 2.95]}\n```"
            }
        ]
    },
    {
        "id": 608,
        "data_source": "Mono3DRefer",
        "scene_name": "001887",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.71], \"boxes_2d\": [[482.73, 184.48, 537.83, 226.4]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.62, 1.83, 26.41]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 609,
        "data_source": "Mono3DRefer",
        "scene_name": "001889",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.15], \"boxes_2d\": [[724.26, 175.05, 771.63, 198.45]], \"boxes_3d\": [[1.48, 1.36, 3.51, 9.07, 1.65, 47.77]], \"ry\": [-1.96]}\n```"
            }
        ]
    },
    {
        "id": 610,
        "data_source": "Mono3DRefer",
        "scene_name": "001892",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.52], \"boxes_2d\": [[413.46, 177.05, 470.81, 197.31]], \"boxes_3d\": [[1.6, 1.66, 4.49, -13.88, 1.97, 59.8]], \"ry\": [2.29]}\n```"
            }
        ]
    },
    {
        "id": 611,
        "data_source": "Mono3DRefer",
        "scene_name": "001897",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.9, -1.8, 2.5, 2.5, -0.82, -0.95, -0.94], \"boxes_2d\": [[649.18, 177.54, 795.77, 276.22], [550.4, 180.68, 610.5, 219.96], [1143.65, 183.39, 1241.0, 374.0], [496.23, 174.0, 561.69, 201.72], [604.87, 172.05, 674.42, 201.95], [658.77, 171.7, 720.53, 198.48], [715.32, 172.65, 762.0, 195.12]], \"boxes_3d\": [[1.51, 1.53, 3.38, 1.82, 1.61, 12.97], [1.39, 1.54, 3.42, -1.23, 1.7, 27.62], [1.53, 1.54, 3.54, 6.35, 1.6, 5.38], [1.56, 1.39, 3.73, -4.77, 1.64, 42.55], [1.56, 1.67, 3.78, 1.63, 1.53, 39.52], [1.5, 1.53, 4.04, 4.71, 1.45, 42.47], [1.38, 1.28, 3.16, 8.16, 1.37, 45.8]], \"ry\": [-1.76, -1.84, -2.95, 2.39, -0.78, -0.84, -0.76]}\n```"
            }
        ]
    },
    {
        "id": 612,
        "data_source": "Mono3DRefer",
        "scene_name": "001899",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.63], \"boxes_2d\": [[549.66, 173.77, 573.91, 195.41]], \"boxes_3d\": [[1.7, 1.72, 4.11, -3.95, 1.8, 59.33]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 613,
        "data_source": "Mono3DRefer",
        "scene_name": "001907",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, 2.21, 1.96, 2.52, 2.02, 1.84], \"boxes_2d\": [[574.49, 183.36, 657.44, 262.64], [0.0, 209.5, 155.71, 268.4], [278.1, 195.64, 363.74, 233.79], [1146.21, 183.13, 1241.0, 255.04], [207.66, 200.97, 283.06, 233.69], [370.1, 190.99, 411.91, 216.46]], \"boxes_3d\": [[1.55, 1.63, 3.32, 0.08, 1.79, 16.01], [1.37, 1.82, 3.96, -15.39, 2.52, 20.92], [1.4, 1.75, 4.75, -12.37, 2.45, 31.14], [1.59, 1.73, 4.26, 15.39, 1.84, 16.92], [1.46, 1.81, 4.16, -18.74, 2.98, 37.23], [1.62, 1.85, 3.57, -15.03, 2.9, 49.62]], \"ry\": [-1.57, 1.58, 1.58, -3.03, 1.56, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 614,
        "data_source": "Mono3DRefer",
        "scene_name": "001917",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -1.82, -1.86, -1.7, -1.63], \"boxes_2d\": [[641.56, 175.81, 665.76, 198.76], [752.2, 161.92, 901.28, 286.87], [832.21, 188.3, 1152.3, 374.0], [708.16, 174.98, 777.78, 234.78], [694.74, 180.7, 732.85, 212.36]], \"boxes_3d\": [[1.54, 1.63, 3.67, 3.06, 1.77, 50.91], [1.88, 1.57, 3.71, 3.62, 1.75, 12.82], [1.5, 1.56, 3.69, 3.29, 1.68, 7.09], [1.7, 1.62, 3.76, 4.03, 1.79, 22.59], [1.4, 1.53, 3.56, 4.83, 1.78, 34.11]], \"ry\": [-1.51, -1.55, -1.44, -1.53, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 615,
        "data_source": "Mono3DRefer",
        "scene_name": "001932",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.72, 1.62], \"boxes_2d\": [[466.43, 183.42, 530.19, 230.93], [548.06, 173.38, 577.82, 196.9]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.58, 1.75, 23.44], [1.46, 1.75, 4.23, -3.08, 1.53, 47.52]], \"ry\": [1.57, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 616,
        "data_source": "Mono3DRefer",
        "scene_name": "001933",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.56], \"boxes_2d\": [[585.69, 170.52, 607.19, 187.55]], \"boxes_3d\": [[1.26, 1.6, 3.56, -1.04, 1.11, 55.74]], \"ry\": [-1.58]}\n```"
            }
        ]
    },
    {
        "id": 617,
        "data_source": "Mono3DRefer",
        "scene_name": "001934",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.8, 1.72], \"boxes_2d\": [[428.46, 182.28, 477.41, 214.12], [493.52, 178.09, 521.61, 196.88]], \"boxes_3d\": [[1.51, 1.51, 4.15, -7.97, 2.0, 36.8], [1.49, 1.71, 3.94, -8.45, 1.93, 59.7]], \"ry\": [1.59, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 618,
        "data_source": "Mono3DRefer",
        "scene_name": "001935",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.59], \"boxes_2d\": [[565.01, 171.09, 617.27, 221.53]], \"boxes_3d\": [[1.6, 1.66, 3.55, -0.73, 1.57, 24.9]], \"ry\": [-1.62]}\n```"
            }
        ]
    },
    {
        "id": 619,
        "data_source": "Mono3DRefer",
        "scene_name": "001943",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[463.13, 177.96, 502.2, 204.74]], \"boxes_3d\": [[1.48, 1.64, 3.59, -7.42, 1.79, 42.16]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 620,
        "data_source": "Mono3DRefer",
        "scene_name": "001946",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[746.63, 128.04, 783.73, 155.31]], \"boxes_3d\": [[1.5, 1.62, 4.19, 9.93, -1.2, 46.05]], \"ry\": [1.95]}\n```"
            }
        ]
    },
    {
        "id": 621,
        "data_source": "Mono3DRefer",
        "scene_name": "001948",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.48, 0.25], \"boxes_2d\": [[0.0, 166.55, 221.04, 310.34], [354.64, 177.1, 457.56, 216.95]], \"boxes_3d\": [[1.9, 1.78, 4.25, -8.33, 1.85, 10.52], [1.52, 1.64, 3.7, -8.21, 1.72, 29.15]], \"ry\": [-3.13, -0.02]}\n```"
            }
        ]
    },
    {
        "id": 622,
        "data_source": "Mono3DRefer",
        "scene_name": "001953",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.91, 1.84, 1.98], \"boxes_2d\": [[1003.41, 183.87, 1115.25, 234.77], [1100.63, 183.02, 1176.29, 221.8], [915.19, 181.89, 1046.53, 245.09]], \"boxes_3d\": [[1.42, 1.68, 4.29, 14.22, 1.79, 22.8], [1.36, 1.4, 3.8, 20.33, 1.77, 27.74], [1.48, 1.51, 4.35, 9.95, 1.74, 19.29]], \"ry\": [2.46, 2.46, 2.45]}\n```"
            }
        ]
    },
    {
        "id": 623,
        "data_source": "Mono3DRefer",
        "scene_name": "001957",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.79], \"boxes_2d\": [[214.51, 190.04, 399.14, 257.11]], \"boxes_3d\": [[1.41, 1.54, 3.6, -6.92, 1.83, 16.61]], \"ry\": [3.1]}\n```"
            }
        ]
    },
    {
        "id": 624,
        "data_source": "Mono3DRefer",
        "scene_name": "001960",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.76, 1.47, 1.73, -1.72], \"boxes_2d\": [[362.97, 180.11, 483.54, 262.14], [643.48, 172.14, 700.04, 221.6], [492.92, 175.87, 545.87, 211.07], [628.36, 177.46, 675.45, 212.25]], \"boxes_3d\": [[1.45, 1.64, 4.21, -3.76, 1.61, 15.05], [1.62, 1.58, 3.89, 2.09, 1.62, 25.76], [1.45, 1.67, 4.43, -4.01, 1.61, 32.29], [1.47, 1.59, 3.62, 1.81, 1.69, 32.63]], \"ry\": [1.51, 1.55, 1.6, -1.66]}\n```"
            }
        ]
    },
    {
        "id": 625,
        "data_source": "Mono3DRefer",
        "scene_name": "001961",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.26], \"boxes_2d\": [[737.57, 173.98, 803.64, 200.84]], \"boxes_3d\": [[1.62, 1.72, 4.35, 10.17, 1.72, 46.1]], \"ry\": [-2.04]}\n```"
            }
        ]
    },
    {
        "id": 626,
        "data_source": "Mono3DRefer",
        "scene_name": "001966",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.34, -1.74, -1.6], \"boxes_2d\": [[366.5, 179.65, 496.91, 259.94], [702.28, 175.33, 773.89, 221.51], [547.13, 186.07, 758.41, 374.0]], \"boxes_3d\": [[1.46, 1.73, 4.19, -3.66, 1.62, 15.39], [1.42, 1.66, 4.18, 4.23, 1.53, 24.61], [1.49, 1.6, 3.83, 0.3, 1.65, 7.44]], \"ry\": [-1.57, -1.58, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 627,
        "data_source": "Mono3DRefer",
        "scene_name": "001974",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.24, 1.88], \"boxes_2d\": [[0.0, 200.26, 160.08, 315.75], [356.61, 183.64, 428.84, 224.71]], \"boxes_3d\": [[1.48, 1.6, 3.9, -9.2, 1.98, 11.44], [1.61, 1.67, 4.56, -9.32, 2.1, 31.21]], \"ry\": [1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 628,
        "data_source": "Mono3DRefer",
        "scene_name": "001975",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[633.55, 176.18, 660.99, 193.25]], \"boxes_3d\": [[1.44, 1.68, 4.39, 3.3, 1.75, 63.49]], \"ry\": [1.79]}\n```"
            }
        ]
    },
    {
        "id": 629,
        "data_source": "Mono3DRefer",
        "scene_name": "001977",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.79, -1.69, -2.18, -1.96, -1.85], \"boxes_2d\": [[102.68, 214.47, 217.03, 293.16], [32.18, 224.69, 102.97, 271.44], [367.68, 211.68, 687.5, 374.0], [239.87, 215.47, 463.1, 339.91], [172.09, 218.75, 314.85, 309.1]], \"boxes_3d\": [[1.6, 1.65, 3.77, -11.39, 2.73, 18.09], [1.37, 1.61, 4.26, -20.34, 3.42, 26.93], [1.47, 1.58, 3.55, -1.1, 1.95, 7.69], [1.37, 1.7, 4.38, -4.25, 2.14, 11.27], [1.4, 1.56, 3.91, -7.61, 2.44, 14.71]], \"ry\": [-2.35, -2.33, -2.32, -2.32, -2.32]}\n```"
            }
        ]
    },
    {
        "id": 630,
        "data_source": "Mono3DRefer",
        "scene_name": "001983",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.68], \"boxes_2d\": [[647.8, 178.52, 706.49, 221.98]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.28, 1.63, 25.85]], \"ry\": [-1.6]}\n```"
            }
        ]
    },
    {
        "id": 631,
        "data_source": "Mono3DRefer",
        "scene_name": "002009",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.62, -1.62, 1.68], \"boxes_2d\": [[867.24, 168.82, 1131.48, 247.6], [565.3, 184.71, 592.09, 208.34], [473.44, 187.03, 506.34, 210.57]], \"boxes_3d\": [[1.47, 1.77, 4.49, 7.82, 1.42, 14.83], [1.52, 1.62, 4.5, -2.22, 2.36, 49.83], [1.42, 1.66, 4.5, -7.89, 2.38, 47.57]], \"ry\": [3.1, -1.66, 1.51]}\n```"
            }
        ]
    },
    {
        "id": 632,
        "data_source": "Mono3DRefer",
        "scene_name": "002016",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.13], \"boxes_2d\": [[31.06, 192.25, 253.86, 288.31]], \"boxes_3d\": [[1.61, 1.67, 4.56, -9.46, 2.06, 15.06]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 633,
        "data_source": "Mono3DRefer",
        "scene_name": "002024",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.06, 2.1, -1.81, -1.77, 1.76, 1.74, -1.72], \"boxes_2d\": [[751.67, 184.29, 1241.0, 374.0], [0.0, 197.52, 257.14, 373.42], [644.27, 172.08, 789.56, 277.84], [601.25, 176.12, 702.66, 245.88], [290.17, 190.06, 385.31, 254.59], [339.98, 187.05, 406.22, 233.97], [582.02, 182.76, 645.14, 229.57]], \"boxes_3d\": [[1.46, 1.58, 3.93, 2.5, 1.57, 5.91], [1.5, 1.68, 4.03, -5.95, 1.85, 8.56], [1.6, 1.7, 3.56, 1.69, 1.61, 12.85], [1.52, 1.73, 3.89, 0.88, 1.63, 17.99], [1.44, 1.6, 3.79, -7.03, 1.93, 18.86], [1.42, 1.51, 3.71, -8.0, 1.93, 24.52], [1.37, 1.51, 3.49, 0.01, 1.7, 23.23]], \"ry\": [-1.68, 1.5, -1.68, -1.72, 1.41, 1.43, -1.72]}\n```"
            }
        ]
    },
    {
        "id": 634,
        "data_source": "Mono3DRefer",
        "scene_name": "002029",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.72, -1.71, 1.6], \"boxes_2d\": [[686.57, 187.14, 768.04, 251.55], [669.73, 183.87, 736.04, 235.03], [530.63, 180.97, 562.27, 212.61]], \"boxes_3d\": [[1.51, 1.56, 3.81, 3.0, 1.92, 19.38], [1.57, 1.68, 3.83, 3.05, 1.97, 24.63], [1.52, 1.5, 3.85, -3.24, 1.94, 36.93]], \"ry\": [-1.57, -1.59, 1.51]}\n```"
            }
        ]
    },
    {
        "id": 635,
        "data_source": "Mono3DRefer",
        "scene_name": "002031",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.97], \"boxes_2d\": [[399.8, 184.42, 491.5, 215.45]], \"boxes_3d\": [[1.47, 1.74, 4.26, -8.26, 2.08, 36.4]], \"ry\": [3.09]}\n```"
            }
        ]
    },
    {
        "id": 636,
        "data_source": "Mono3DRefer",
        "scene_name": "002034",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[383.55, 192.77, 517.49, 287.08]], \"boxes_3d\": [[1.46, 1.75, 4.23, -2.95, 1.89, 14.01]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 637,
        "data_source": "Mono3DRefer",
        "scene_name": "002036",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[784.58, 124.54, 822.25, 152.15]], \"boxes_3d\": [[1.5, 1.62, 4.19, 12.34, -1.4, 45.95]], \"ry\": [2.0]}\n```"
            }
        ]
    },
    {
        "id": 638,
        "data_source": "Mono3DRefer",
        "scene_name": "002037",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.1, 1.88], \"boxes_2d\": [[130.14, 190.79, 233.14, 238.34], [375.53, 186.9, 413.46, 205.73]], \"boxes_3d\": [[1.63, 1.87, 3.47, -16.28, 2.35, 27.56], [1.33, 1.72, 3.63, -16.29, 2.42, 54.64]], \"ry\": [1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 639,
        "data_source": "Mono3DRefer",
        "scene_name": "002043",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-2.78, 1.37, 1.59], \"boxes_2d\": [[292.69, 176.29, 411.41, 227.62], [692.11, 167.81, 742.84, 204.79], [552.45, 178.81, 582.17, 207.62]], \"boxes_3d\": [[1.61, 1.57, 3.35, -8.52, 1.75, 23.89], [1.79, 1.72, 4.35, 5.47, 1.57, 37.41], [1.45, 1.49, 4.07, -2.28, 1.78, 38.7]], \"ry\": [-3.12, 1.51, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 640,
        "data_source": "Mono3DRefer",
        "scene_name": "002047",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.95, -2.03, 1.98], \"boxes_2d\": [[268.12, 180.81, 313.32, 201.69], [811.76, 186.75, 1230.61, 374.0], [236.18, 180.58, 287.64, 205.21]], \"boxes_3d\": [[1.32, 1.51, 3.55, -21.14, 1.85, 47.84], [1.38, 1.51, 4.1, 3.26, 1.54, 6.83], [1.41, 1.48, 3.63, -21.03, 1.89, 43.66]], \"ry\": [1.54, -1.6, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 641,
        "data_source": "Mono3DRefer",
        "scene_name": "002048",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.73, -2.58], \"boxes_2d\": [[888.35, 184.43, 982.23, 250.23], [335.96, 177.03, 541.82, 279.17]], \"boxes_3d\": [[1.52, 1.54, 4.5, 8.57, 1.86, 19.44], [1.59, 1.45, 3.15, -2.97, 1.68, 12.42]], \"ry\": [-1.32, -2.81]}\n```"
            }
        ]
    },
    {
        "id": 642,
        "data_source": "Mono3DRefer",
        "scene_name": "002053",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.53], \"boxes_2d\": [[529.73, 180.95, 557.03, 207.67]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.48, 2.23, 47.94]], \"ry\": [1.44]}\n```"
            }
        ]
    },
    {
        "id": 643,
        "data_source": "Mono3DRefer",
        "scene_name": "002054",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.35, 1.64, -2.95], \"boxes_2d\": [[738.71, 184.5, 918.99, 312.07], [586.9, 175.22, 624.25, 205.01], [400.06, 175.37, 531.04, 219.96]], \"boxes_3d\": [[1.49, 1.61, 3.74, 2.89, 1.67, 10.46], [1.46, 1.63, 4.47, -0.21, 1.61, 38.08], [1.47, 1.68, 4.26, -5.04, 1.59, 25.35]], \"ry\": [1.62, 1.64, -3.14]}\n```"
            }
        ]
    },
    {
        "id": 644,
        "data_source": "Mono3DRefer",
        "scene_name": "002055",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.63], \"boxes_2d\": [[548.56, 175.36, 573.17, 197.58]], \"boxes_3d\": [[1.7, 1.72, 4.11, -3.92, 1.92, 57.85]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 645,
        "data_source": "Mono3DRefer",
        "scene_name": "002057",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.23, 1.81, 1.69, 1.68, -1.61], \"boxes_2d\": [[716.0, 143.83, 898.53, 263.83], [302.84, 189.59, 439.11, 282.76], [424.45, 184.97, 489.79, 231.15], [455.06, 173.09, 507.96, 217.74], [580.67, 171.07, 607.98, 195.98]], \"boxes_3d\": [[1.79, 1.72, 4.35, 3.26, 1.38, 13.05], [1.45, 1.49, 4.07, -4.42, 1.8, 13.8], [1.27, 1.54, 3.58, -4.67, 1.66, 22.23], [1.63, 1.65, 3.91, -5.07, 1.67, 28.66], [1.46, 1.53, 3.17, -1.02, 1.38, 44.33]], \"ry\": [1.47, 1.5, 1.48, 1.5, -1.63]}\n```"
            }
        ]
    },
    {
        "id": 646,
        "data_source": "Mono3DRefer",
        "scene_name": "002061",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.69, 1.51], \"boxes_2d\": [[380.08, 169.25, 474.55, 252.42], [431.92, 175.13, 479.1, 212.32]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.15, 1.64, 16.75], [1.47, 1.7, 4.39, -6.75, 1.59, 31.06]], \"ry\": [1.45, 1.3]}\n```"
            }
        ]
    },
    {
        "id": 647,
        "data_source": "Mono3DRefer",
        "scene_name": "002062",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.88, -1.81, 1.44, 1.69, -1.67], \"boxes_2d\": [[242.26, 180.42, 457.99, 311.86], [717.95, 189.19, 906.73, 309.4], [663.8, 177.9, 740.18, 233.05], [452.65, 175.69, 523.93, 228.73], [654.28, 176.0, 708.02, 216.37]], \"boxes_3d\": [[1.48, 1.64, 3.95, -3.42, 1.59, 10.17], [1.35, 1.64, 3.84, 2.63, 1.62, 10.42], [1.42, 1.59, 4.19, 2.51, 1.58, 20.87], [1.42, 1.64, 3.63, -3.55, 1.52, 21.36], [1.38, 1.58, 3.66, 2.53, 1.51, 26.73]], \"ry\": [1.56, -1.57, 1.55, 1.53, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 648,
        "data_source": "Mono3DRefer",
        "scene_name": "002066",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.69], \"boxes_2d\": [[554.2, 180.44, 580.57, 198.58]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.54, 2.09, 60.28]], \"ry\": [1.63]}\n```"
            }
        ]
    },
    {
        "id": 649,
        "data_source": "Mono3DRefer",
        "scene_name": "002069",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.67], \"boxes_2d\": [[525.08, 172.78, 553.96, 198.3]], \"boxes_3d\": [[1.65, 1.56, 3.98, -4.77, 1.67, 49.01]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 650,
        "data_source": "Mono3DRefer",
        "scene_name": "002080",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.75, -3.02, -0.37, -0.45, 0.67, -0.91, -0.63], \"boxes_2d\": [[300.23, 180.39, 491.9, 242.95], [380.92, 179.54, 525.13, 225.54], [807.2, 167.6, 1017.73, 258.35], [827.8, 167.72, 1153.76, 278.04], [0.0, 200.02, 369.8, 359.74], [1091.07, 176.48, 1241.0, 374.0], [874.81, 144.89, 1241.0, 374.0]], \"boxes_3d\": [[1.47, 1.67, 4.28, -5.32, 1.68, 18.06], [1.38, 1.67, 4.37, -5.01, 1.62, 23.32], [1.54, 1.58, 3.2, 5.41, 1.47, 13.29], [1.51, 1.72, 4.03, 5.56, 1.47, 10.99], [1.38, 1.66, 4.38, -5.01, 1.71, 7.49], [1.48, 1.86, 4.18, 4.66, 1.47, 2.93], [1.74, 1.66, 4.37, 4.76, 1.54, 6.27]], \"ry\": [-3.04, 3.05, 0.01, 0.01, 0.09, 0.06, -0.0]}\n```"
            }
        ]
    },
    {
        "id": 651,
        "data_source": "Mono3DRefer",
        "scene_name": "002093",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.16, 1.84, -1.35], \"boxes_2d\": [[0.0, 191.61, 283.73, 374.0], [338.96, 165.87, 494.27, 267.45], [650.43, 170.42, 693.6, 203.93]], \"boxes_3d\": [[1.46, 1.63, 4.47, -3.19, 1.6, 3.43], [1.7, 1.82, 4.45, -3.67, 1.61, 14.39], [1.57, 1.56, 2.62, 3.04, 1.48, 35.34]], \"ry\": [1.45, 1.59, -1.27]}\n```"
            }
        ]
    },
    {
        "id": 652,
        "data_source": "Mono3DRefer",
        "scene_name": "002121",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.96], \"boxes_2d\": [[282.72, 188.64, 351.24, 220.12]], \"boxes_3d\": [[1.56, 1.91, 4.44, -16.0, 2.46, 39.57]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 653,
        "data_source": "Mono3DRefer",
        "scene_name": "002122",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.6, -0.54], \"boxes_2d\": [[154.17, 189.61, 384.47, 281.6], [32.46, 174.2, 305.11, 276.94]], \"boxes_3d\": [[1.41, 1.62, 3.6, -6.25, 1.76, 13.51], [1.77, 1.96, 4.39, -8.86, 1.82, 14.85]], \"ry\": [-1.03, -1.07]}\n```"
            }
        ]
    },
    {
        "id": 654,
        "data_source": "Mono3DRefer",
        "scene_name": "002127",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.94, -1.64], \"boxes_2d\": [[98.75, 169.48, 409.42, 348.97], [642.67, 189.17, 669.13, 210.63]], \"boxes_3d\": [[1.5, 1.62, 4.19, -3.65, 1.5, 8.22], [1.41, 1.58, 4.36, 3.24, 2.62, 51.88]], \"ry\": [1.53, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 655,
        "data_source": "Mono3DRefer",
        "scene_name": "002131",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.56, -1.37, 1.75, 1.67], \"boxes_2d\": [[0.0, 179.8, 142.72, 331.83], [367.71, 185.74, 477.48, 272.48], [439.55, 183.89, 519.71, 242.16], [493.93, 180.3, 536.03, 209.29]], \"boxes_3d\": [[1.77, 1.73, 4.53, -8.8, 1.89, 9.05], [1.57, 1.55, 3.32, -3.83, 1.86, 15.08], [1.56, 1.68, 3.91, -3.85, 1.91, 21.68], [1.43, 1.75, 4.47, -5.01, 1.83, 38.28]], \"ry\": [2.96, -1.61, 1.57, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 656,
        "data_source": "Mono3DRefer",
        "scene_name": "002137",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.37, 1.85, -1.52, -1.69], \"boxes_2d\": [[880.29, 170.54, 1241.0, 374.0], [167.25, 200.54, 438.48, 374.0], [467.12, 186.17, 519.23, 235.58], [617.98, 174.75, 678.92, 231.86]], \"boxes_3d\": [[1.72, 1.67, 4.42, 2.98, 1.71, 3.15], [1.44, 1.56, 3.84, -3.02, 1.8, 7.85], [1.5, 1.55, 4.21, -3.97, 1.98, 24.79], [1.82, 1.65, 3.67, 1.23, 1.91, 25.06]], \"ry\": [-1.66, 1.5, -1.68, -1.64]}\n```"
            }
        ]
    },
    {
        "id": 657,
        "data_source": "Mono3DRefer",
        "scene_name": "002141",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.63, 2.46], \"boxes_2d\": [[802.48, 175.9, 864.2, 228.25], [0.0, 195.51, 257.23, 374.0]], \"boxes_3d\": [[1.56, 1.65, 3.69, 7.14, 1.67, 23.46], [1.42, 1.67, 4.53, -5.54, 1.68, 6.55]], \"ry\": [-1.34, 1.78]}\n```"
            }
        ]
    },
    {
        "id": 658,
        "data_source": "Mono3DRefer",
        "scene_name": "002148",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.79], \"boxes_2d\": [[450.44, 176.41, 515.85, 215.34]], \"boxes_3d\": [[1.42, 1.78, 3.62, -4.6, 1.24, 28.34]], \"ry\": [1.63]}\n```"
            }
        ]
    },
    {
        "id": 659,
        "data_source": "Mono3DRefer",
        "scene_name": "002163",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.98, 1.82], \"boxes_2d\": [[249.18, 189.97, 324.18, 227.23], [402.93, 182.01, 442.66, 204.2]], \"boxes_3d\": [[1.45, 1.64, 3.61, -13.92, 2.23, 31.2], [1.57, 1.9, 4.16, -14.04, 2.28, 54.23]], \"ry\": [1.57, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 660,
        "data_source": "Mono3DRefer",
        "scene_name": "002164",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.92, 1.65], \"boxes_2d\": [[663.46, 179.39, 746.37, 212.09], [655.0, 180.21, 688.72, 206.84]], \"boxes_3d\": [[1.48, 1.8, 4.31, 4.7, 1.83, 35.53], [1.69, 1.88, 4.5, 4.19, 2.2, 48.52]], \"ry\": [-0.79, 1.74]}\n```"
            }
        ]
    },
    {
        "id": 661,
        "data_source": "Mono3DRefer",
        "scene_name": "002165",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.06], \"boxes_2d\": [[187.06, 189.42, 253.17, 223.74]], \"boxes_3d\": [[1.54, 1.85, 2.47, -18.77, 2.37, 34.78]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 662,
        "data_source": "Mono3DRefer",
        "scene_name": "002168",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.75, 0.37, -2.93, -0.27, -1.89, -0.25, -0.41, 0.38], \"boxes_2d\": [[155.68, 184.56, 362.79, 251.57], [214.96, 177.57, 394.01, 238.05], [296.23, 176.86, 427.73, 224.43], [650.61, 180.34, 753.69, 223.14], [460.01, 175.88, 493.38, 195.74], [664.39, 179.68, 779.91, 229.25], [729.15, 181.04, 971.85, 269.47], [77.95, 166.0, 318.79, 259.38]], \"boxes_3d\": [[1.43, 1.6, 4.04, -8.11, 1.73, 16.84], [1.53, 1.72, 4.15, -8.27, 1.69, 19.69], [1.52, 1.57, 4.01, -8.45, 1.69, 24.72], [1.48, 1.63, 3.43, 3.32, 1.77, 26.55], [1.66, 1.66, 3.98, -11.63, 1.95, 62.68], [1.55, 1.57, 3.51, 3.67, 1.8, 24.12], [1.47, 1.74, 3.88, 4.31, 1.64, 13.38], [1.68, 1.67, 3.79, -8.02, 1.58, 14.28]], \"ry\": [3.09, -0.02, 3.03, -0.15, -2.08, -0.1, -0.1, -0.13]}\n```"
            }
        ]
    },
    {
        "id": 663,
        "data_source": "Mono3DRefer",
        "scene_name": "002179",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.72], \"boxes_2d\": [[654.86, 183.49, 734.93, 240.49]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.25, 1.73, 20.47]], \"ry\": [-1.61]}\n```"
            }
        ]
    },
    {
        "id": 664,
        "data_source": "Mono3DRefer",
        "scene_name": "002192",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.71], \"boxes_2d\": [[464.74, 181.03, 521.27, 226.06]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.76, 2.05, 29.64]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 665,
        "data_source": "Mono3DRefer",
        "scene_name": "002193",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.99, -2.25, 1.65, -1.65, -1.54], \"boxes_2d\": [[17.88, 213.87, 437.19, 374.0], [856.97, 213.09, 1241.0, 374.0], [511.74, 186.31, 559.18, 225.95], [649.77, 182.34, 693.71, 217.45], [552.36, 183.11, 578.79, 207.86]], \"boxes_3d\": [[1.42, 1.57, 4.1, -2.91, 1.9, 6.5], [1.43, 1.64, 4.14, 2.5, 1.69, 2.88], [1.38, 1.53, 3.58, -2.84, 1.92, 27.69], [1.49, 1.65, 4.06, 2.75, 1.94, 33.26], [1.48, 1.54, 4.05, -2.83, 2.16, 46.18]], \"ry\": [1.58, -1.58, 1.54, -1.57, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 666,
        "data_source": "Mono3DRefer",
        "scene_name": "002196",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.64], \"boxes_2d\": [[368.72, 184.86, 406.03, 214.14]], \"boxes_3d\": [[1.45, 1.62, 3.83, -11.89, 2.11, 38.61]], \"ry\": [1.35]}\n```"
            }
        ]
    },
    {
        "id": 667,
        "data_source": "Mono3DRefer",
        "scene_name": "002197",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.62], \"boxes_2d\": [[761.64, 170.95, 812.18, 214.78]], \"boxes_3d\": [[1.56, 1.65, 3.69, 6.68, 1.52, 27.66]], \"ry\": [-1.39]}\n```"
            }
        ]
    },
    {
        "id": 668,
        "data_source": "Mono3DRefer",
        "scene_name": "002200",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.73, 2.47, 2.33, -2.17, -1.86, -1.94, 3.02], \"boxes_2d\": [[1011.89, 168.02, 1225.84, 236.69], [542.29, 171.25, 591.66, 192.18], [0.0, 222.33, 248.54, 374.0], [896.0, 186.77, 1241.0, 374.0], [653.18, 172.58, 723.26, 218.9], [582.0, 174.14, 630.24, 200.39], [816.64, 170.82, 978.82, 236.56]], \"boxes_3d\": [[1.5, 1.7, 3.72, 11.75, 1.43, 16.95], [1.56, 1.39, 3.73, -3.31, 1.45, 55.53], [1.39, 1.6, 3.8, -3.69, 1.77, 3.73], [1.48, 1.56, 3.46, 3.06, 1.58, 4.13], [1.51, 1.53, 3.38, 2.66, 1.53, 25.56], [1.39, 1.54, 3.42, -0.29, 1.48, 40.29], [1.53, 1.54, 3.54, 6.97, 1.51, 17.9]], \"ry\": [-2.96, 2.41, 1.58, -1.56, -1.76, -1.95, -2.9]}\n```"
            }
        ]
    },
    {
        "id": 669,
        "data_source": "Mono3DRefer",
        "scene_name": "002207",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.18, 2.21], \"boxes_2d\": [[1133.98, 169.65, 1241.0, 273.25], [982.67, 170.48, 1120.21, 226.64]], \"boxes_3d\": [[1.65, 1.67, 3.64, 11.31, 1.6, 12.92], [1.59, 1.55, 3.93, 13.52, 1.54, 22.15]], \"ry\": [-0.47, 2.75]}\n```"
            }
        ]
    },
    {
        "id": 670,
        "data_source": "Mono3DRefer",
        "scene_name": "002208",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.94], \"boxes_2d\": [[415.51, 178.0, 492.83, 207.86]], \"boxes_3d\": [[1.49, 1.64, 3.7, -8.16, 1.78, 37.83]], \"ry\": [3.13]}\n```"
            }
        ]
    },
    {
        "id": 671,
        "data_source": "Mono3DRefer",
        "scene_name": "002215",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.29, 2.22, 2.02], \"boxes_2d\": [[1132.73, 174.81, 1241.0, 271.24], [814.03, 176.34, 952.05, 239.25], [1026.82, 180.55, 1135.07, 225.39]], \"boxes_3d\": [[1.65, 1.67, 3.64, 11.86, 1.69, 14.0], [1.59, 1.55, 3.93, 7.66, 1.71, 20.24], [1.47, 1.57, 4.24, 16.99, 1.77, 26.03]], \"ry\": [-0.59, 2.58, 2.6]}\n```"
            }
        ]
    },
    {
        "id": 672,
        "data_source": "Mono3DRefer",
        "scene_name": "002223",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -1.43, 1.89, 2.26, 2.07, -0.83], \"boxes_2d\": [[655.2, 172.36, 725.15, 237.79], [1060.02, 174.41, 1241.0, 374.0], [467.49, 170.1, 547.23, 226.73], [81.98, 185.55, 293.87, 271.89], [399.8, 182.95, 495.72, 223.42], [741.61, 167.68, 805.61, 194.46]], \"boxes_3d\": [[1.56, 1.65, 3.69, 2.08, 1.57, 19.14], [1.39, 1.61, 3.65, 4.68, 1.4, 5.1], [1.76, 1.58, 3.68, -3.41, 1.7, 24.35], [1.56, 1.62, 4.19, -8.88, 1.86, 15.58], [1.42, 1.67, 4.53, -6.26, 1.84, 28.25], [1.54, 1.63, 3.74, 9.79, 1.25, 43.2]], \"ry\": [-1.46, -0.72, 1.75, 1.74, 1.86, -0.61]}\n```"
            }
        ]
    },
    {
        "id": 673,
        "data_source": "Mono3DRefer",
        "scene_name": "002227",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.65, -2.72, -2.85, 0.15], \"boxes_2d\": [[89.88, 188.9, 312.13, 267.65], [176.26, 182.24, 369.57, 249.19], [347.79, 173.0, 465.25, 222.27], [462.91, 177.96, 522.62, 201.9]], \"boxes_3d\": [[1.49, 1.64, 3.7, -8.45, 1.86, 15.05], [1.52, 1.55, 4.02, -8.22, 1.78, 17.71], [1.9, 1.78, 4.25, -8.24, 1.94, 29.33], [1.52, 1.64, 3.7, -7.78, 1.89, 47.93]], \"ry\": [3.13, 3.13, -3.12, -0.01]}\n```"
            }
        ]
    },
    {
        "id": 674,
        "data_source": "Mono3DRefer",
        "scene_name": "002234",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.04, 1.87, -1.77, 1.76, -1.73, 1.69], \"boxes_2d\": [[80.93, 196.93, 423.54, 374.0], [318.62, 173.38, 503.45, 302.09], [714.72, 188.47, 804.21, 246.62], [476.23, 181.54, 557.48, 246.86], [692.25, 177.53, 763.74, 230.3], [514.31, 182.33, 567.48, 232.38]], \"boxes_3d\": [[1.44, 1.64, 3.78, -3.47, 1.75, 7.76], [1.77, 1.71, 4.28, -3.12, 1.81, 12.13], [1.45, 1.71, 3.93, 4.13, 1.93, 20.72], [1.73, 1.65, 3.96, -2.68, 2.0, 21.3], [1.78, 1.89, 4.37, 4.23, 1.97, 26.75], [1.68, 1.51, 3.29, -2.48, 2.03, 26.15]], \"ry\": [1.63, 1.63, -1.58, 1.63, -1.58, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 675,
        "data_source": "Mono3DRefer",
        "scene_name": "002237",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.97, 1.85, 1.9, 1.86, -1.27], \"boxes_2d\": [[0.0, 164.01, 419.95, 374.0], [498.71, 187.41, 588.36, 244.75], [561.64, 185.15, 627.18, 229.72], [618.3, 185.09, 671.17, 219.41], [798.44, 167.78, 838.14, 190.57]], \"boxes_3d\": [[1.83, 1.69, 4.28, -3.01, 1.81, 6.16], [1.51, 1.63, 4.03, -1.93, 1.98, 21.73], [1.57, 1.44, 3.6, -0.57, 2.07, 27.94], [1.47, 1.51, 3.5, 1.63, 2.06, 33.42], [1.77, 1.75, 4.67, 16.9, 1.39, 58.45]], \"ry\": [1.53, 1.76, 1.88, 1.9, -0.99]}\n```"
            }
        ]
    },
    {
        "id": 676,
        "data_source": "Mono3DRefer",
        "scene_name": "002266",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, -1.34, 2.11], \"boxes_2d\": [[589.66, 176.96, 616.81, 203.8], [354.99, 178.26, 511.4, 296.39], [67.12, 194.83, 215.51, 264.32]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.48, 1.93, 46.64], [1.61, 1.51, 4.5, -2.79, 1.72, 12.2], [1.61, 1.72, 3.65, -12.53, 2.25, 19.52]], \"ry\": [-1.59, -1.57, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 677,
        "data_source": "Mono3DRefer",
        "scene_name": "002269",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.68, 1.95], \"boxes_2d\": [[506.99, 182.68, 550.57, 217.49], [189.17, 184.26, 432.95, 342.19]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.66, 1.91, 32.73], [1.65, 1.56, 3.98, -3.72, 1.82, 9.67]], \"ry\": [1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 678,
        "data_source": "Mono3DRefer",
        "scene_name": "002273",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.35], \"boxes_2d\": [[334.67, 184.58, 458.58, 220.43]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.61, 1.86, 29.17]], \"ry\": [0.07]}\n```"
            }
        ]
    },
    {
        "id": 679,
        "data_source": "Mono3DRefer",
        "scene_name": "002276",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-2.87, -1.44, 1.71], \"boxes_2d\": [[134.1, 176.71, 349.75, 254.23], [445.88, 184.47, 505.26, 235.51], [471.74, 182.68, 524.25, 222.12]], \"boxes_3d\": [[1.77, 1.73, 4.53, -9.13, 1.9, 18.17], [1.57, 1.55, 3.32, -4.51, 1.98, 24.36], [1.56, 1.68, 3.91, -4.77, 1.99, 30.98]], \"ry\": [2.96, -1.63, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 680,
        "data_source": "Mono3DRefer",
        "scene_name": "002277",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.84, 1.78, -1.23], \"boxes_2d\": [[183.89, 187.29, 458.65, 369.0], [442.44, 168.28, 544.04, 239.29], [645.37, 168.34, 691.54, 200.22]], \"boxes_3d\": [[1.46, 1.63, 4.47, -2.95, 1.66, 8.33], [1.7, 1.82, 4.45, -3.06, 1.62, 19.62], [1.57, 1.56, 2.62, 3.0, 1.37, 37.09]], \"ry\": [1.51, 1.62, -1.15]}\n```"
            }
        ]
    },
    {
        "id": 681,
        "data_source": "Mono3DRefer",
        "scene_name": "002278",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.81], \"boxes_2d\": [[636.28, 179.53, 661.36, 197.37]], \"boxes_3d\": [[1.48, 1.36, 3.51, 3.31, 2.07, 62.2]], \"ry\": [-1.75]}\n```"
            }
        ]
    },
    {
        "id": 682,
        "data_source": "Mono3DRefer",
        "scene_name": "002281",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.99, -1.61, -2.1, -2.14, -2.2, -2.28, -2.23, -2.35, -1.62, -1.61, 2.13, 2.15], \"boxes_2d\": [[195.98, 172.77, 285.37, 217.8], [585.92, 179.82, 642.42, 225.42], [224.6, 182.74, 421.77, 283.35], [316.55, 164.63, 483.12, 259.41], [398.62, 181.37, 523.21, 231.52], [416.75, 178.07, 526.9, 223.07], [460.56, 178.91, 538.39, 210.73], [485.43, 175.3, 553.38, 203.82], [655.97, 178.0, 687.76, 203.0], [588.42, 174.96, 624.37, 206.78], [0.0, 186.75, 201.22, 287.94], [55.4, 179.27, 212.1, 233.37]], \"boxes_3d\": [[1.66, 1.54, 4.34, -14.75, 1.69, 29.01], [1.36, 1.69, 3.38, 0.03, 1.6, 23.59], [1.5, 1.58, 3.57, -5.11, 1.69, 12.56], [1.8, 1.63, 3.79, -4.64, 1.67, 15.52], [1.41, 1.62, 4.19, -4.76, 1.7, 22.49], [1.49, 1.66, 3.97, -5.02, 1.7, 25.8], [1.39, 1.62, 3.72, -5.22, 1.69, 33.58], [1.49, 1.66, 3.55, -5.01, 1.65, 39.47], [1.4, 1.66, 4.08, 3.62, 1.72, 43.0], [1.52, 1.67, 3.61, -0.26, 1.65, 36.6], [1.39, 1.64, 3.55, -8.58, 1.64, 11.97], [1.46, 1.72, 4.6, -14.35, 1.67, 22.04]], \"ry\": [1.52, -1.61, -2.48, -2.43, -2.41, -2.47, -2.39, -2.48, -1.54, -1.62, 1.51, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 683,
        "data_source": "Mono3DRefer",
        "scene_name": "002283",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[594.78, 175.36, 625.78, 205.99]], \"boxes_3d\": [[1.65, 1.67, 3.64, 0.02, 1.81, 41.07]], \"ry\": [-1.55]}\n```"
            }
        ]
    },
    {
        "id": 684,
        "data_source": "Mono3DRefer",
        "scene_name": "002284",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.86], \"boxes_2d\": [[395.74, 184.06, 436.09, 206.9]], \"boxes_3d\": [[1.48, 1.71, 3.54, -13.33, 2.27, 49.63]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 685,
        "data_source": "Mono3DRefer",
        "scene_name": "002285",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, 2.61, 1.82, -1.58], \"boxes_2d\": [[601.63, 179.27, 662.66, 228.87], [945.8, 175.5, 1057.13, 208.18], [408.55, 180.29, 450.33, 205.94], [584.53, 176.23, 625.26, 213.42]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.58, 1.57, 21.8], [1.45, 1.67, 4.32, 18.26, 1.6, 33.81], [1.59, 1.72, 3.86, -11.76, 2.08, 47.11], [1.52, 1.67, 3.61, -0.28, 1.68, 31.57]], \"ry\": [-1.57, 3.1, 1.58, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 686,
        "data_source": "Mono3DRefer",
        "scene_name": "002288",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [0.34, -2.74, 1.46], \"boxes_2d\": [[257.66, 181.94, 402.01, 236.27], [321.48, 182.87, 436.08, 225.48], [877.75, 163.38, 910.72, 185.49]], \"boxes_3d\": [[1.52, 1.64, 3.7, -8.37, 1.82, 21.66], [1.5, 1.62, 3.69, -8.55, 1.89, 26.72], [1.51, 1.7, 4.45, 20.43, 0.88, 52.03]], \"ry\": [-0.03, -3.05, 1.83]}\n```"
            }
        ]
    },
    {
        "id": 687,
        "data_source": "Mono3DRefer",
        "scene_name": "002294",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.72, -2.64], \"boxes_2d\": [[707.47, 185.64, 904.87, 352.89], [271.89, 188.95, 427.28, 260.75]], \"boxes_3d\": [[1.46, 1.53, 3.17, 1.92, 1.62, 8.04], [1.59, 1.45, 3.15, -6.18, 1.99, 17.12]], \"ry\": [-1.5, -2.98]}\n```"
            }
        ]
    },
    {
        "id": 688,
        "data_source": "Mono3DRefer",
        "scene_name": "002304",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[589.17, 168.99, 620.81, 200.2]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.27, 1.47, 40.34]], \"ry\": [-1.55]}\n```"
            }
        ]
    },
    {
        "id": 689,
        "data_source": "Mono3DRefer",
        "scene_name": "002321",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.52], \"boxes_2d\": [[142.03, 193.13, 355.09, 253.13]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.93, 1.9, 17.93]], \"ry\": [0.06]}\n```"
            }
        ]
    },
    {
        "id": 690,
        "data_source": "Mono3DRefer",
        "scene_name": "002337",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.2], \"boxes_2d\": [[13.05, 198.84, 175.58, 258.02]], \"boxes_3d\": [[1.46, 1.86, 4.01, -14.99, 2.28, 21.22]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 691,
        "data_source": "Mono3DRefer",
        "scene_name": "002339",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.72, 1.86, -1.76, -1.71, -1.66, 1.65], \"boxes_2d\": [[479.6, 177.54, 520.17, 209.5], [345.27, 183.95, 451.24, 253.09], [687.9, 176.71, 785.05, 253.82], [660.14, 169.3, 733.04, 233.81], [649.47, 168.02, 706.13, 221.63], [535.61, 169.81, 558.95, 193.69]], \"boxes_3d\": [[1.5, 1.46, 3.7, -5.47, 1.75, 35.98], [1.54, 1.54, 3.72, -5.27, 1.84, 18.26], [1.57, 1.54, 3.22, 2.74, 1.67, 16.45], [1.74, 1.6, 3.86, 2.45, 1.67, 21.54], [1.83, 1.69, 4.44, 2.42, 1.69, 27.03], [1.86, 1.57, 3.83, -5.08, 1.65, 58.6]], \"ry\": [1.57, 1.58, -1.6, -1.6, -1.57, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 692,
        "data_source": "Mono3DRefer",
        "scene_name": "002343",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.66], \"boxes_2d\": [[527.73, 171.1, 554.77, 195.17]], \"boxes_3d\": [[1.65, 1.56, 3.98, -4.92, 1.55, 51.84]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 693,
        "data_source": "Mono3DRefer",
        "scene_name": "002350",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.72, 1.63, -0.19, -1.28], \"boxes_2d\": [[492.09, 184.73, 564.66, 241.72], [574.93, 185.35, 601.67, 206.72], [1054.67, 123.02, 1241.0, 261.46], [311.65, 183.53, 510.78, 320.59]], \"boxes_3d\": [[1.6, 1.68, 3.94, -2.51, 1.99, 22.67], [1.42, 1.66, 4.11, -1.53, 2.34, 51.58], [1.66, 1.15, 3.39, 7.68, 1.07, 9.2], [1.77, 1.75, 4.67, -2.99, 1.96, 11.81]], \"ry\": [1.61, 1.6, 0.49, -1.52]}\n```"
            }
        ]
    },
    {
        "id": 694,
        "data_source": "Mono3DRefer",
        "scene_name": "002373",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.54, 1.29, 1.31, 2.96], \"boxes_2d\": [[572.87, 181.15, 602.03, 207.64], [764.29, 186.73, 945.57, 301.74], [763.27, 184.92, 839.62, 233.48], [649.14, 178.45, 737.48, 209.83]], \"boxes_3d\": [[1.43, 1.55, 3.91, -1.28, 1.91, 41.41], [1.52, 1.61, 4.23, 3.76, 1.78, 11.98], [1.45, 1.51, 3.7, 6.21, 1.87, 23.92], [1.51, 1.65, 4.21, 4.16, 1.82, 36.66]], \"ry\": [-1.57, 1.59, 1.56, 3.07]}\n```"
            }
        ]
    },
    {
        "id": 695,
        "data_source": "Mono3DRefer",
        "scene_name": "002374",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.54, 1.45], \"boxes_2d\": [[534.9, 186.36, 567.67, 220.11], [504.53, 187.58, 530.61, 205.8]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.24, 2.44, 38.99], [1.47, 1.7, 4.39, -8.06, 2.77, 62.49]], \"ry\": [1.46, 1.32]}\n```"
            }
        ]
    },
    {
        "id": 696,
        "data_source": "Mono3DRefer",
        "scene_name": "002378",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.4, 1.95, 1.25, 1.73, 1.44, 1.67, -1.63], \"boxes_2d\": [[949.76, 216.7, 1241.0, 374.0], [163.93, 174.08, 442.86, 343.45], [746.81, 196.73, 1060.64, 374.0], [429.73, 170.1, 516.15, 238.41], [678.54, 176.83, 750.15, 227.25], [487.54, 173.02, 549.18, 217.68], [651.79, 171.93, 682.57, 199.2]], \"boxes_3d\": [[1.47, 1.59, 3.62, 2.81, 1.72, 2.45], [1.56, 1.68, 3.69, -3.33, 1.6, 8.54], [1.44, 1.64, 4.5, 2.75, 1.77, 8.05], [1.46, 1.51, 3.24, -3.21, 1.42, 17.2], [1.38, 1.59, 4.19, 3.04, 1.52, 22.02], [1.38, 1.69, 3.74, -3.06, 1.41, 24.41], [1.51, 1.56, 3.81, 3.28, 1.48, 42.23]], \"ry\": [-1.6, 1.59, 1.57, 1.55, 1.58, 1.54, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 697,
        "data_source": "Mono3DRefer",
        "scene_name": "002380",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.66, 2.7, 0.56, -2.67, -2.83, -3.02, -2.94], \"boxes_2d\": [[1089.78, 182.76, 1241.0, 374.0], [813.71, 166.58, 1078.66, 264.51], [0.0, 130.71, 311.81, 299.42], [111.08, 183.42, 335.34, 268.53], [283.89, 182.46, 458.16, 239.12], [362.72, 170.56, 498.93, 225.98], [447.88, 177.06, 512.43, 206.44]], \"boxes_3d\": [[1.63, 1.53, 3.45, 6.43, 1.71, 6.31], [1.76, 1.71, 4.4, 6.43, 1.67, 14.19], [2.22, 1.68, 4.08, -6.77, 1.69, 10.48], [1.4, 1.46, 3.23, -6.87, 1.61, 12.94], [1.46, 1.61, 4.31, -6.59, 1.75, 20.06], [1.8, 1.77, 4.41, -6.17, 1.75, 25.11], [1.58, 1.54, 3.3, -7.26, 1.83, 40.34]], \"ry\": [0.11, 3.12, -0.0, 3.13, 3.14, 3.02, -3.12]}\n```"
            }
        ]
    },
    {
        "id": 698,
        "data_source": "Mono3DRefer",
        "scene_name": "002400",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [0.19, -2.43, -2.74], \"boxes_2d\": [[429.22, 179.66, 503.36, 209.07], [0.0, 196.69, 160.51, 334.04], [233.99, 173.71, 408.13, 244.73]], \"boxes_3d\": [[1.52, 1.64, 3.7, -7.79, 1.91, 39.17], [1.52, 1.55, 4.02, -8.15, 1.86, 8.99], [1.9, 1.78, 4.25, -8.19, 1.95, 20.6]], \"ry\": [-0.01, 3.13, -3.12]}\n```"
            }
        ]
    },
    {
        "id": 699,
        "data_source": "Mono3DRefer",
        "scene_name": "002416",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.74, -2.78, -2.89, -2.93, -3.02, -1.21, -0.88, -0.51], \"boxes_2d\": [[478.94, 171.24, 665.38, 253.54], [0.0, 207.32, 56.07, 337.21], [0.0, 197.63, 127.45, 271.59], [9.0, 194.87, 164.2, 248.66], [116.2, 190.21, 213.18, 223.95], [1057.63, 198.69, 1241.0, 374.0], [812.22, 188.06, 1241.0, 374.0], [563.99, 185.76, 798.6, 277.65]], \"boxes_3d\": [[1.85, 1.68, 4.34, -0.96, 1.83, 18.07], [1.51, 1.53, 4.46, -9.5, 2.0, 8.47], [1.43, 1.56, 3.85, -12.73, 2.01, 15.32], [1.42, 1.62, 3.5, -15.62, 2.13, 21.68], [1.41, 1.54, 3.6, -20.28, 2.23, 32.96], [1.39, 1.59, 3.17, 4.73, 1.59, 4.81], [1.46, 1.55, 4.28, 4.23, 1.64, 7.14], [1.49, 1.66, 4.16, 1.33, 1.77, 13.76]], \"ry\": [2.68, 2.68, 2.71, 2.74, 2.71, -0.46, -0.36, -0.42]}\n```"
            }
        ]
    },
    {
        "id": 700,
        "data_source": "Mono3DRefer",
        "scene_name": "002419",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.22, -1.93, -1.83, -1.75, 1.71, 1.68, -1.65, 1.6], \"boxes_2d\": [[606.09, 205.57, 1050.45, 374.0], [483.73, 205.82, 709.94, 343.72], [419.61, 207.08, 551.12, 299.25], [369.6, 201.81, 459.54, 274.11], [126.44, 207.56, 205.7, 274.91], [28.31, 221.86, 147.85, 321.42], [324.66, 210.13, 374.42, 250.03], [195.81, 213.05, 227.98, 242.88]], \"boxes_3d\": [[1.47, 1.58, 3.55, 1.38, 1.81, 6.02], [1.37, 1.7, 4.38, -0.5, 1.93, 10.39], [1.4, 1.56, 3.91, -2.64, 2.16, 14.29], [1.6, 1.65, 3.77, -5.33, 2.43, 19.2], [1.86, 1.63, 4.2, -14.66, 3.1, 23.96], [1.45, 1.46, 3.41, -9.92, 2.49, 13.85], [1.37, 1.61, 4.26, -11.06, 3.03, 30.38], [1.51, 1.55, 3.92, -23.82, 4.01, 43.19]], \"ry\": [-2.0, -1.98, -2.02, -2.02, 1.17, 1.06, -2.0, 1.1]}\n```"
            }
        ]
    },
    {
        "id": 701,
        "data_source": "Mono3DRefer",
        "scene_name": "002423",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-2.88, -1.77, 1.78], \"boxes_2d\": [[249.97, 180.59, 425.05, 238.96], [649.24, 170.26, 756.05, 251.45], [376.39, 187.28, 500.8, 276.45]], \"boxes_3d\": [[1.47, 1.53, 4.21, -7.38, 1.71, 19.72], [1.64, 1.62, 4.2, 1.98, 1.62, 16.9], [1.35, 1.47, 3.43, -3.0, 1.64, 13.07]], \"ry\": [3.05, -1.65, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 702,
        "data_source": "Mono3DRefer",
        "scene_name": "002428",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.72], \"boxes_2d\": [[443.45, 186.31, 534.42, 250.49]], \"boxes_3d\": [[1.46, 1.75, 4.23, -3.12, 1.85, 19.15]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 703,
        "data_source": "Mono3DRefer",
        "scene_name": "002431",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.59], \"boxes_2d\": [[510.05, 181.22, 561.21, 226.86]], \"boxes_3d\": [[1.41, 1.59, 4.47, -2.57, 1.71, 24.93]], \"ry\": [1.48]}\n```"
            }
        ]
    },
    {
        "id": 704,
        "data_source": "Mono3DRefer",
        "scene_name": "002432",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.98], \"boxes_2d\": [[278.1, 186.3, 350.03, 222.26]], \"boxes_3d\": [[1.48, 1.71, 3.54, -13.23, 2.11, 32.38]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 705,
        "data_source": "Mono3DRefer",
        "scene_name": "002443",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.88, 1.71, 1.97, 1.88, 2.48], \"boxes_2d\": [[752.11, 190.12, 1046.88, 374.0], [483.02, 183.4, 534.41, 217.69], [204.95, 196.82, 403.8, 309.55], [339.74, 189.52, 462.96, 263.06], [0.0, 241.13, 96.61, 374.0]], \"boxes_3d\": [[1.41, 1.64, 3.77, 2.64, 1.63, 7.66], [1.43, 1.76, 3.97, -4.58, 1.93, 32.87], [1.49, 1.61, 3.94, -4.93, 1.94, 12.15], [1.48, 1.66, 3.9, -4.83, 1.91, 17.11], [1.31, 1.58, 4.23, -5.38, 1.89, 4.18]], \"ry\": [-1.56, 1.58, 1.59, 1.61, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 706,
        "data_source": "Mono3DRefer",
        "scene_name": "002445",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.68, -0.64], \"boxes_2d\": [[917.88, 181.82, 1229.36, 281.3], [882.41, 180.78, 1170.94, 261.5]], \"boxes_3d\": [[1.35, 1.49, 4.0, 7.0, 1.51, 11.11], [1.32, 1.62, 4.57, 7.57, 1.49, 13.34]], \"ry\": [-0.13, -0.14]}\n```"
            }
        ]
    },
    {
        "id": 707,
        "data_source": "Mono3DRefer",
        "scene_name": "002447",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.57], \"boxes_2d\": [[592.3, 183.29, 613.76, 202.68]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.57, 2.24, 56.14]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 708,
        "data_source": "Mono3DRefer",
        "scene_name": "002451",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.64, 2.15, -0.42], \"boxes_2d\": [[794.92, 171.12, 870.61, 235.39], [301.59, 184.71, 487.48, 262.98], [1153.25, 160.44, 1241.0, 198.87]], \"boxes_3d\": [[1.56, 1.65, 3.69, 5.87, 1.54, 19.47], [1.42, 1.67, 4.53, -4.54, 1.71, 15.88], [1.54, 1.63, 3.74, 25.09, 1.05, 29.95]], \"ry\": [-1.35, 1.87, 0.27]}\n```"
            }
        ]
    },
    {
        "id": 709,
        "data_source": "Mono3DRefer",
        "scene_name": "002460",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.81], \"boxes_2d\": [[766.36, 192.81, 894.4, 279.8]], \"boxes_3d\": [[1.52, 1.54, 4.5, 4.53, 2.0, 15.61]], \"ry\": [-1.53]}\n```"
            }
        ]
    },
    {
        "id": 710,
        "data_source": "Mono3DRefer",
        "scene_name": "002489",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.76, 1.73, 1.88, 1.84, 2.13], \"boxes_2d\": [[692.67, 189.13, 834.5, 288.41], [486.53, 188.88, 532.75, 219.14], [322.62, 196.84, 445.95, 273.66], [391.93, 193.03, 481.52, 249.34], [0.0, 215.5, 304.82, 374.0]], \"boxes_3d\": [[1.41, 1.64, 3.77, 2.46, 1.73, 12.62], [1.43, 1.76, 3.97, -5.21, 2.3, 37.71], [1.49, 1.61, 3.94, -5.17, 2.1, 16.93], [1.48, 1.66, 3.9, -5.21, 2.14, 22.0], [1.31, 1.58, 4.23, -5.52, 1.94, 8.87]], \"ry\": [-1.58, 1.6, 1.58, 1.61, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 711,
        "data_source": "Mono3DRefer",
        "scene_name": "002491",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.74, 1.66], \"boxes_2d\": [[456.92, 185.19, 534.95, 239.96], [538.36, 181.11, 569.89, 204.79]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.53, 1.93, 22.79], [1.44, 1.7, 3.65, -3.58, 1.99, 46.44]], \"ry\": [1.58, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 712,
        "data_source": "Mono3DRefer",
        "scene_name": "002494",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.52, 0.24], \"boxes_2d\": [[0.0, 167.96, 257.76, 295.9], [366.94, 176.63, 465.05, 214.76]], \"boxes_3d\": [[1.9, 1.78, 4.25, -8.36, 1.86, 11.77], [1.52, 1.64, 3.7, -8.15, 1.71, 30.41]], \"ry\": [-3.13, -0.02]}\n```"
            }
        ]
    },
    {
        "id": 713,
        "data_source": "Mono3DRefer",
        "scene_name": "002501",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.59, 2.62, 1.84, -1.57], \"boxes_2d\": [[600.33, 177.68, 659.13, 225.47], [925.2, 172.39, 1029.1, 203.19], [414.61, 176.48, 455.5, 201.06], [583.98, 172.97, 623.94, 209.44]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.53, 1.53, 22.56], [1.45, 1.67, 4.32, 18.15, 1.45, 35.82], [1.59, 1.72, 3.86, -11.87, 1.85, 49.07], [1.52, 1.67, 3.61, -0.31, 1.55, 32.15]], \"ry\": [-1.57, 3.09, 1.6, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 714,
        "data_source": "Mono3DRefer",
        "scene_name": "002511",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.93, 1.67], \"boxes_2d\": [[150.54, 200.33, 405.94, 359.46], [506.35, 181.17, 556.37, 217.1]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.73, 1.78, 8.74], [1.46, 1.75, 4.23, -3.44, 1.84, 31.93]], \"ry\": [1.53, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 715,
        "data_source": "Mono3DRefer",
        "scene_name": "002512",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.85], \"boxes_2d\": [[483.47, 176.78, 559.18, 214.51]], \"boxes_3d\": [[1.37, 1.78, 4.65, -3.46, 1.55, 28.78]], \"ry\": [1.73]}\n```"
            }
        ]
    },
    {
        "id": 716,
        "data_source": "Mono3DRefer",
        "scene_name": "002514",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.68, -2.89], \"boxes_2d\": [[33.19, 200.59, 308.52, 300.67], [330.36, 186.95, 453.38, 232.82]], \"boxes_3d\": [[1.42, 1.62, 3.5, -7.07, 1.92, 11.83], [1.41, 1.54, 3.6, -7.16, 1.9, 23.79]], \"ry\": [3.07, 3.1]}\n```"
            }
        ]
    },
    {
        "id": 717,
        "data_source": "Mono3DRefer",
        "scene_name": "002521",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.09, 1.94], \"boxes_2d\": [[147.55, 187.15, 240.63, 226.59], [321.35, 181.72, 373.23, 209.66]], \"boxes_3d\": [[1.67, 1.82, 4.42, -19.46, 2.38, 33.94], [1.63, 1.87, 3.47, -16.19, 2.19, 44.56]], \"ry\": [1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 718,
        "data_source": "Mono3DRefer",
        "scene_name": "002542",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.48, 2.22, -1.79, 1.77, -1.69], \"boxes_2d\": [[692.41, 170.14, 722.84, 194.95], [0.0, 152.41, 285.24, 327.12], [734.83, 172.65, 870.66, 267.42], [603.83, 170.26, 649.62, 201.14], [730.85, 151.85, 810.14, 240.13]], \"boxes_3d\": [[1.54, 1.63, 3.67, 6.39, 1.4, 47.17], [1.93, 1.59, 4.01, -6.42, 1.74, 10.05], [1.58, 1.67, 3.84, 3.54, 1.61, 14.09], [1.53, 1.67, 3.78, 0.9, 1.42, 37.84], [2.05, 1.5, 3.83, 4.04, 1.59, 18.8]], \"ry\": [-1.34, 1.66, -1.55, 1.79, -1.48]}\n```"
            }
        ]
    },
    {
        "id": 719,
        "data_source": "Mono3DRefer",
        "scene_name": "002560",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.44], \"boxes_2d\": [[0.0, 206.47, 183.94, 366.57]], \"boxes_3d\": [[1.41, 1.54, 3.6, -6.67, 1.8, 7.38]], \"ry\": [3.12]}\n```"
            }
        ]
    },
    {
        "id": 720,
        "data_source": "Mono3DRefer",
        "scene_name": "002565",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.07, 1.64], \"boxes_2d\": [[0.0, 189.33, 383.1, 369.0], [454.42, 168.74, 486.36, 192.16]], \"boxes_3d\": [[1.5, 1.78, 3.69, -3.26, 1.61, 5.53], [1.45, 1.75, 4.23, -8.78, 0.71, 46.45]], \"ry\": [-1.57, 1.46]}\n```"
            }
        ]
    },
    {
        "id": 721,
        "data_source": "Mono3DRefer",
        "scene_name": "002578",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.64, 2.13, -0.42], \"boxes_2d\": [[783.32, 169.41, 859.64, 234.34], [330.03, 183.31, 497.68, 254.07], [1089.41, 159.13, 1205.81, 196.0]], \"boxes_3d\": [[1.56, 1.65, 3.69, 5.51, 1.5, 19.29], [1.42, 1.67, 4.53, -4.51, 1.69, 17.22], [1.54, 1.63, 3.74, 23.52, 0.99, 31.73]], \"ry\": [-1.36, 1.88, 0.21]}\n```"
            }
        ]
    },
    {
        "id": 722,
        "data_source": "Mono3DRefer",
        "scene_name": "002582",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.06, 1.83], \"boxes_2d\": [[0.0, 166.55, 366.42, 374.0], [340.46, 180.95, 517.05, 309.12]], \"boxes_3d\": [[1.65, 1.75, 3.39, -2.54, 1.66, 3.51], [1.57, 1.54, 4.01, -2.55, 1.7, 10.93]], \"ry\": [1.47, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 723,
        "data_source": "Mono3DRefer",
        "scene_name": "002589",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.62], \"boxes_2d\": [[9.54, 198.4, 289.73, 275.98]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.93, 1.9, 14.12]], \"ry\": [0.06]}\n```"
            }
        ]
    },
    {
        "id": 724,
        "data_source": "Mono3DRefer",
        "scene_name": "002590",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[663.02, 165.64, 682.55, 183.83]], \"boxes_3d\": [[1.47, 1.55, 3.67, 5.31, 0.91, 60.93]], \"ry\": [-1.46]}\n```"
            }
        ]
    },
    {
        "id": 725,
        "data_source": "Mono3DRefer",
        "scene_name": "002591",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.66, 1.72], \"boxes_2d\": [[396.65, 185.33, 505.3, 283.9], [459.58, 184.8, 532.48, 244.06]], \"boxes_3d\": [[1.65, 1.75, 3.39, -3.02, 1.91, 14.13], [1.57, 1.54, 4.01, -3.35, 1.95, 21.6]], \"ry\": [1.45, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 726,
        "data_source": "Mono3DRefer",
        "scene_name": "002593",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.93], \"boxes_2d\": [[398.21, 177.85, 481.78, 209.94]], \"boxes_3d\": [[1.49, 1.64, 3.7, -8.29, 1.76, 35.27]], \"ry\": [3.13]}\n```"
            }
        ]
    },
    {
        "id": 727,
        "data_source": "Mono3DRefer",
        "scene_name": "002603",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.92, 2.05], \"boxes_2d\": [[343.13, 180.59, 390.05, 206.41], [187.54, 184.89, 268.8, 220.66]], \"boxes_3d\": [[1.63, 1.87, 3.47, -16.14, 2.16, 47.93], [1.67, 1.82, 4.42, -19.45, 2.31, 36.92]], \"ry\": [1.59, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 728,
        "data_source": "Mono3DRefer",
        "scene_name": "002624",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.67, 1.66], \"boxes_2d\": [[486.97, 171.95, 548.27, 227.95], [546.11, 176.05, 572.37, 200.8]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.51, 1.97, 27.93], [1.7, 1.53, 3.82, -3.65, 1.95, 52.04]], \"ry\": [1.55, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 729,
        "data_source": "Mono3DRefer",
        "scene_name": "002630",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.0, 2.22], \"boxes_2d\": [[337.08, 185.68, 387.47, 210.16], [0.0, 195.63, 135.09, 248.8]], \"boxes_3d\": [[1.45, 1.74, 3.42, -15.67, 2.29, 45.73], [1.38, 1.8, 3.41, -16.28, 2.1, 21.58]], \"ry\": [1.67, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 730,
        "data_source": "Mono3DRefer",
        "scene_name": "002631",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.02, 1.88, 1.82, -1.48, -1.39, 2.33], \"boxes_2d\": [[838.4, 181.67, 940.9, 229.84], [970.6, 182.83, 1045.52, 217.01], [1039.38, 182.2, 1096.98, 212.49], [1222.82, 183.36, 1241.0, 222.28], [1077.91, 178.2, 1204.52, 261.88], [565.21, 180.46, 735.59, 261.65]], \"boxes_3d\": [[1.47, 1.57, 4.24, 9.56, 1.79, 24.59], [1.4, 1.68, 4.45, 18.02, 1.88, 32.63], [1.45, 1.62, 3.77, 23.71, 1.96, 37.33], [1.5, 1.61, 4.07, 26.61, 1.95, 29.77], [1.65, 1.67, 3.64, 11.99, 1.79, 16.25], [1.59, 1.55, 3.93, 0.96, 1.79, 16.34]], \"ry\": [2.38, 2.38, 2.38, -0.76, -0.76, 2.39]}\n```"
            }
        ]
    },
    {
        "id": 731,
        "data_source": "Mono3DRefer",
        "scene_name": "002641",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.82, -2.0, -1.4, 1.49], \"boxes_2d\": [[329.48, 171.29, 496.03, 296.55], [807.42, 208.98, 1241.0, 374.0], [456.77, 184.11, 541.8, 241.73], [633.29, 176.01, 671.42, 207.14]], \"boxes_3d\": [[1.7, 1.63, 4.08, -3.08, 1.71, 11.93], [1.37, 1.59, 3.22, 2.41, 1.67, 4.58], [1.4, 1.67, 3.72, -2.98, 1.73, 19.86], [1.49, 1.61, 3.74, 2.08, 1.67, 36.71]], \"ry\": [1.57, -1.54, -1.54, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 732,
        "data_source": "Mono3DRefer",
        "scene_name": "002647",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.94, -0.78, -0.56, 2.67], \"boxes_2d\": [[407.26, 190.18, 601.82, 292.78], [296.6, 190.6, 527.39, 288.78], [73.33, 195.1, 291.12, 272.49], [0.0, 185.04, 165.0, 265.27]], \"boxes_3d\": [[1.39, 1.59, 3.17, -1.65, 1.71, 11.93], [1.46, 1.55, 4.28, -3.52, 1.83, 13.5], [1.49, 1.66, 4.16, -9.93, 2.07, 17.03], [1.85, 1.68, 4.34, -14.41, 2.2, 18.93]], \"ry\": [-1.07, -1.04, -1.08, 2.03]}\n```"
            }
        ]
    },
    {
        "id": 733,
        "data_source": "Mono3DRefer",
        "scene_name": "002654",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.01], \"boxes_2d\": [[113.15, 190.34, 363.12, 314.76]], \"boxes_3d\": [[1.51, 1.81, 4.07, -5.5, 1.83, 11.25]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 734,
        "data_source": "Mono3DRefer",
        "scene_name": "002655",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.63, 1.65], \"boxes_2d\": [[515.84, 170.26, 559.03, 212.13], [552.96, 175.65, 575.09, 196.77]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.64, 1.88, 36.59], [1.7, 1.53, 3.82, -3.85, 1.96, 60.66]], \"ry\": [1.54, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 735,
        "data_source": "Mono3DRefer",
        "scene_name": "002656",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.24, 2.03, 1.88], \"boxes_2d\": [[0.0, 187.79, 137.74, 273.61], [249.62, 182.09, 316.03, 212.32], [378.38, 178.63, 417.66, 201.15]], \"boxes_3d\": [[1.62, 1.86, 4.31, -12.77, 1.98, 15.87], [1.67, 1.82, 4.42, -19.37, 2.24, 42.87], [1.63, 1.87, 3.47, -16.03, 2.08, 54.66]], \"ry\": [1.57, 1.6, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 736,
        "data_source": "Mono3DRefer",
        "scene_name": "002657",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.01, -1.64], \"boxes_2d\": [[0.0, 170.69, 379.3, 374.0], [644.4, 189.71, 671.65, 211.9]], \"boxes_3d\": [[1.5, 1.62, 4.19, -3.62, 1.52, 6.75], [1.41, 1.58, 4.36, 3.29, 2.62, 50.35]], \"ry\": [1.53, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 737,
        "data_source": "Mono3DRefer",
        "scene_name": "002662",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.03, -1.6, -2.0, -2.08, -2.16, -2.24, -2.22, -2.34, -1.74, -1.64, -1.62, 2.23], \"boxes_2d\": [[132.11, 176.8, 240.88, 228.43], [583.51, 181.73, 639.74, 227.68], [90.82, 186.16, 350.61, 332.3], [238.08, 163.14, 446.21, 288.74], [362.22, 185.95, 505.62, 246.35], [385.87, 182.46, 510.69, 235.1], [443.05, 183.75, 528.98, 219.53], [474.13, 182.35, 548.14, 213.9], [693.99, 185.16, 776.28, 240.64], [658.13, 184.45, 693.82, 212.11], [590.26, 179.45, 626.9, 211.37], [0.0, 183.8, 144.76, 249.72]], \"boxes_3d\": [[1.66, 1.54, 4.34, -14.9, 1.82, 25.6], [1.36, 1.69, 3.38, -0.03, 1.67, 23.5], [1.5, 1.58, 3.57, -5.1, 1.68, 9.21], [1.8, 1.63, 3.79, -4.65, 1.69, 12.16], [1.41, 1.62, 4.19, -4.79, 1.77, 19.11], [1.49, 1.66, 3.97, -5.13, 1.81, 22.45], [1.39, 1.62, 3.72, -5.27, 1.86, 30.23], [1.49, 1.66, 3.55, -5.01, 1.99, 36.15], [1.47, 1.73, 4.22, 3.64, 1.87, 21.89], [1.4, 1.66, 4.08, 3.55, 2.06, 39.7], [1.52, 1.67, 3.61, -0.15, 1.86, 36.51], [1.46, 1.72, 4.6, -14.39, 1.77, 18.59]], \"ry\": [1.5, -1.6, -2.49, -2.44, -2.4, -2.47, -2.39, -2.48, -1.58, -1.55, -1.62, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 738,
        "data_source": "Mono3DRefer",
        "scene_name": "002684",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.75, 1.6], \"boxes_2d\": [[393.44, 192.22, 515.28, 278.61], [559.04, 166.94, 583.27, 191.71]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.03, 1.86, 14.65], [1.97, 1.87, 4.53, -3.22, 1.53, 60.27]], \"ry\": [1.55, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 739,
        "data_source": "Mono3DRefer",
        "scene_name": "002686",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[876.76, 111.88, 917.21, 140.79]], \"boxes_3d\": [[1.5, 1.62, 4.19, 18.09, -2.14, 45.44]], \"ry\": [2.13]}\n```"
            }
        ]
    },
    {
        "id": 740,
        "data_source": "Mono3DRefer",
        "scene_name": "002694",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [3.12, 1.21, -2.01, -2.05, -2.19, -2.35], \"boxes_2d\": [[380.17, 170.39, 468.41, 204.67], [682.64, 159.13, 728.43, 192.93], [711.53, 165.59, 757.22, 191.46], [750.47, 166.08, 806.36, 189.05], [922.97, 163.51, 970.47, 185.27], [962.93, 160.64, 1016.78, 184.23]], \"boxes_3d\": [[1.49, 1.46, 3.84, -8.55, 1.4, 33.16], [2.21, 1.76, 4.11, 6.48, 1.34, 49.52], [1.75, 1.57, 4.07, 8.73, 1.28, 51.09], [1.54, 1.71, 5.03, 11.87, 1.12, 51.28], [1.53, 1.41, 3.4, 24.62, 0.89, 52.89], [1.69, 1.61, 3.36, 28.2, 0.83, 53.68]], \"ry\": [2.87, 1.34, -1.84, -1.82, -1.76, -1.87]}\n```"
            }
        ]
    },
    {
        "id": 741,
        "data_source": "Mono3DRefer",
        "scene_name": "002696",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.98, -1.62], \"boxes_2d\": [[82.36, 190.62, 401.91, 374.0], [616.7, 180.68, 669.4, 228.9]], \"boxes_3d\": [[1.63, 1.65, 3.91, -3.76, 1.87, 8.13], [1.46, 1.53, 3.17, 0.99, 1.73, 23.69]], \"ry\": [1.56, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 742,
        "data_source": "Mono3DRefer",
        "scene_name": "002699",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.97], \"boxes_2d\": [[77.15, 103.72, 483.73, 373.0]], \"boxes_3d\": [[2.11, 2.04, 4.62, -2.81, 1.54, 7.63]], \"ry\": [1.62]}\n```"
            }
        ]
    },
    {
        "id": 743,
        "data_source": "Mono3DRefer",
        "scene_name": "002709",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.16], \"boxes_2d\": [[0.0, 59.71, 413.85, 373.0]], \"boxes_3d\": [[2.11, 2.04, 4.62, -2.93, 1.72, 4.51]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 744,
        "data_source": "Mono3DRefer",
        "scene_name": "002712",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.83, -1.67, 1.86, 1.7, -1.63, 1.71, -2.14], \"boxes_2d\": [[735.4, 178.83, 917.4, 292.0], [698.0, 177.73, 780.48, 244.14], [360.46, 192.18, 448.9, 250.86], [490.26, 188.07, 523.21, 213.03], [638.21, 179.02, 668.34, 203.09], [503.61, 188.22, 533.73, 209.63], [827.6, 170.16, 1241.0, 374.0]], \"boxes_3d\": [[1.4, 1.61, 3.77, 3.0, 1.51, 10.95], [1.41, 1.57, 3.16, 2.92, 1.54, 17.06], [1.53, 1.56, 3.58, -6.05, 2.14, 21.48], [1.42, 1.54, 3.5, -6.32, 2.38, 44.28], [1.51, 1.75, 3.78, 2.8, 1.93, 47.77], [1.36, 1.51, 4.02, -6.29, 2.45, 49.86], [1.51, 1.85, 4.93, 2.89, 1.51, 4.16]], \"ry\": [-1.57, -1.5, 1.59, 1.56, -1.57, 1.58, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 745,
        "data_source": "Mono3DRefer",
        "scene_name": "002713",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[592.74, 173.21, 624.03, 204.13]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.08, 1.7, 40.7]], \"ry\": [-1.55]}\n```"
            }
        ]
    },
    {
        "id": 746,
        "data_source": "Mono3DRefer",
        "scene_name": "002715",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.96, 2.23], \"boxes_2d\": [[316.83, 181.03, 378.52, 211.91], [0.0, 189.3, 113.74, 266.56]], \"boxes_3d\": [[1.58, 1.82, 3.87, -14.25, 2.04, 39.33], [1.6, 1.78, 3.86, -13.92, 2.02, 16.98]], \"ry\": [1.61, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 747,
        "data_source": "Mono3DRefer",
        "scene_name": "002727",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.8, -1.81, -1.75, 1.64], \"boxes_2d\": [[315.46, 187.8, 491.49, 316.26], [714.11, 175.14, 902.41, 313.64], [686.38, 182.92, 791.18, 258.62], [526.56, 175.33, 568.41, 210.22]], \"boxes_3d\": [[1.46, 1.6, 3.33, -2.75, 1.7, 10.16], [1.64, 1.7, 3.54, 2.59, 1.7, 10.41], [1.37, 1.51, 3.39, 2.51, 1.59, 15.0], [1.55, 1.68, 4.42, -2.97, 1.69, 34.63]], \"ry\": [1.54, -1.58, -1.59, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 748,
        "data_source": "Mono3DRefer",
        "scene_name": "002730",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.46, -1.66, 0.2, 0.31, 0.37, 0.41, 0.38, -2.54], \"boxes_2d\": [[0.0, 197.92, 216.48, 366.49], [663.13, 180.63, 708.76, 214.58], [397.25, 178.46, 526.28, 219.63], [332.99, 180.82, 493.82, 232.21], [310.14, 179.92, 487.51, 240.31], [282.07, 182.4, 468.85, 249.72], [216.05, 180.46, 426.17, 262.42], [0.0, 184.39, 270.58, 313.75]], \"boxes_3d\": [[1.41, 1.63, 3.75, -6.23, 1.7, 7.06], [1.41, 1.65, 4.28, 3.33, 1.78, 32.61], [1.44, 1.8, 4.44, -5.49, 1.68, 26.95], [1.5, 1.8, 4.5, 0.0, 1.77, 22.53], [1.53, 1.8, 4.22, 0.43, 1.74, 19.48], [1.5, 1.46, 3.95, -5.54, 1.75, 17.1], [1.53, 1.64, 3.6, -5.8, 1.71, 14.66], [1.53, 1.51, 3.38, -6.55, 1.7, 9.45]], \"ry\": [3.12, -1.56, 0.0, 0.05, 0.09, 0.1, 0.01, -3.14]}\n```"
            }
        ]
    },
    {
        "id": 749,
        "data_source": "Mono3DRefer",
        "scene_name": "002732",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.08, -0.98], \"boxes_2d\": [[79.32, 199.43, 182.17, 240.6], [2.68, 198.18, 119.27, 242.24]], \"boxes_3d\": [[1.42, 1.7, 4.14, -19.31, 2.56, 29.23], [1.52, 1.71, 4.11, -21.94, 2.6, 29.0]], \"ry\": [-1.66, -1.62]}\n```"
            }
        ]
    },
    {
        "id": 750,
        "data_source": "Mono3DRefer",
        "scene_name": "002741",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.19, 1.74, 1.63], \"boxes_2d\": [[112.12, 187.04, 463.44, 374.0], [456.44, 187.69, 546.71, 257.75], [564.04, 186.37, 592.97, 209.52]], \"boxes_3d\": [[1.77, 1.75, 4.67, -3.11, 1.96, 8.11], [1.6, 1.68, 3.94, -2.77, 2.02, 18.98], [1.42, 1.66, 4.11, -2.08, 2.34, 47.93]], \"ry\": [-1.54, 1.6, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 751,
        "data_source": "Mono3DRefer",
        "scene_name": "002751",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.53, 2.31, -0.55, -0.2, 2.7], \"boxes_2d\": [[565.25, 193.54, 600.37, 226.43], [993.86, 175.85, 1241.0, 374.0], [892.9, 184.25, 1241.0, 347.35], [751.82, 186.07, 991.3, 264.82], [839.46, 179.43, 1178.51, 304.14]], \"boxes_3d\": [[1.43, 1.55, 3.91, -1.31, 2.48, 35.22], [1.51, 1.65, 4.21, 5.1, 1.52, 4.9], [1.48, 1.49, 4.16, 5.25, 1.62, 7.41], [1.51, 1.69, 4.42, 5.23, 1.81, 15.06], [1.56, 1.5, 3.8, 5.26, 1.67, 9.93]], \"ry\": [-1.57, 3.09, 0.05, 0.12, -3.11]}\n```"
            }
        ]
    },
    {
        "id": 752,
        "data_source": "Mono3DRefer",
        "scene_name": "002776",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.71, 1.65], \"boxes_2d\": [[481.89, 184.32, 544.53, 229.67], [544.18, 181.01, 572.7, 202.59]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.57, 1.97, 27.0], [1.44, 1.7, 3.65, -3.61, 2.03, 50.78]], \"ry\": [1.58, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 753,
        "data_source": "Mono3DRefer",
        "scene_name": "002797",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.79, -1.18, -1.59], \"boxes_2d\": [[704.01, 175.35, 875.15, 294.91], [0.0, 188.36, 415.81, 374.0], [646.47, 175.94, 691.56, 213.76]], \"boxes_3d\": [[1.49, 1.56, 4.34, 2.5, 1.55, 11.26], [1.42, 1.53, 4.12, -2.99, 1.59, 6.27], [1.38, 1.64, 3.51, 2.23, 1.52, 28.28]], \"ry\": [-1.57, -1.61, -1.51]}\n```"
            }
        ]
    },
    {
        "id": 754,
        "data_source": "Mono3DRefer",
        "scene_name": "002798",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.68, 2.68, -2.42, -2.72, -2.9, -2.97], \"boxes_2d\": [[851.24, 180.89, 1241.0, 352.76], [698.6, 159.51, 984.04, 280.92], [0.0, 210.33, 89.43, 374.0], [18.53, 193.36, 289.43, 283.68], [205.42, 189.3, 354.98, 245.58], [331.78, 185.5, 422.05, 219.26]], \"boxes_3d\": [[1.49, 1.66, 4.16, 4.84, 1.6, 7.53], [1.85, 1.68, 4.34, 3.82, 1.66, 12.32], [1.51, 1.53, 4.46, -6.99, 1.87, 5.62], [1.43, 1.56, 3.85, -8.12, 1.84, 13.07], [1.42, 1.62, 3.5, -9.14, 1.91, 20.14], [1.41, 1.54, 3.6, -10.35, 1.99, 32.12]], \"ry\": [-0.13, 2.97, 2.99, 3.01, 2.96, 3.01]}\n```"
            }
        ]
    },
    {
        "id": 755,
        "data_source": "Mono3DRefer",
        "scene_name": "002800",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.0], \"boxes_2d\": [[0.0, 188.99, 333.46, 373.0]], \"boxes_3d\": [[1.57, 1.67, 4.14, 0.0, 1.69, 7.74]], \"ry\": [1.49]}\n```"
            }
        ]
    },
    {
        "id": 756,
        "data_source": "Mono3DRefer",
        "scene_name": "002818",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.67, 1.79, 1.73, 1.73, -0.88, -0.93, -0.97, 1.82], \"boxes_2d\": [[660.5, 176.51, 718.74, 220.45], [424.29, 191.91, 485.48, 230.78], [468.65, 182.4, 513.81, 218.53], [486.77, 183.01, 524.1, 211.22], [0.0, 211.22, 66.36, 249.94], [10.37, 209.64, 117.1, 248.65], [58.25, 205.12, 171.9, 247.63], [378.88, 194.87, 454.8, 245.01]], \"boxes_3d\": [[1.51, 1.75, 3.78, 2.87, 1.67, 27.02], [1.36, 1.51, 4.02, -6.13, 2.16, 28.75], [1.74, 1.65, 4.11, -6.11, 2.25, 37.31], [1.61, 1.64, 4.0, -6.35, 2.24, 43.98], [1.43, 1.8, 3.96, -25.9, 3.18, 31.14], [1.4, 1.6, 3.97, -23.48, 3.08, 31.15], [1.49, 1.7, 4.51, -20.82, 2.95, 30.56], [1.42, 1.54, 3.5, -6.21, 2.18, 23.4]], \"ry\": [-1.57, 1.58, 1.57, 1.58, -1.57, -1.57, -1.56, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 757,
        "data_source": "Mono3DRefer",
        "scene_name": "002828",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.9], \"boxes_2d\": [[321.49, 185.25, 386.17, 216.6]], \"boxes_3d\": [[1.55, 1.88, 4.59, -13.79, 2.24, 39.05]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 758,
        "data_source": "Mono3DRefer",
        "scene_name": "002842",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.73], \"boxes_2d\": [[472.0, 185.61, 537.75, 234.78]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.44, 1.9, 23.98]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 759,
        "data_source": "Mono3DRefer",
        "scene_name": "002844",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.18, 1.99], \"boxes_2d\": [[38.34, 198.36, 166.25, 248.85], [266.37, 192.33, 331.41, 226.56]], \"boxes_3d\": [[1.67, 1.82, 4.42, -19.53, 2.73, 27.97], [1.63, 1.87, 3.47, -16.24, 2.69, 37.77]], \"ry\": [1.58, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 760,
        "data_source": "Mono3DRefer",
        "scene_name": "002852",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.05, 1.52], \"boxes_2d\": [[0.0, 196.41, 359.18, 374.0], [513.87, 184.43, 539.47, 209.12]], \"boxes_3d\": [[1.7, 1.43, 3.2, -3.33, 1.93, 5.84], [1.68, 1.63, 3.9, -6.08, 2.54, 52.2]], \"ry\": [1.55, 1.4]}\n```"
            }
        ]
    },
    {
        "id": 761,
        "data_source": "Mono3DRefer",
        "scene_name": "002862",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.54, 1.45], \"boxes_2d\": [[525.69, 179.78, 560.13, 214.91], [497.41, 181.69, 526.61, 201.74]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.51, 2.05, 36.94], [1.47, 1.7, 4.39, -7.63, 2.16, 55.77]], \"ry\": [1.45, 1.31]}\n```"
            }
        ]
    },
    {
        "id": 762,
        "data_source": "Mono3DRefer",
        "scene_name": "002867",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.97, 2.03, 1.88, 1.91], \"boxes_2d\": [[265.55, 181.29, 333.72, 216.73], [213.79, 183.27, 296.8, 216.44], [377.03, 176.64, 422.16, 201.88], [346.24, 176.66, 391.17, 201.61]], \"boxes_3d\": [[1.48, 1.61, 3.39, -13.87, 1.87, 32.34], [1.44, 1.79, 4.32, -16.75, 1.95, 34.25], [1.6, 1.78, 3.86, -13.98, 1.87, 48.05], [1.65, 1.77, 3.85, -16.72, 1.93, 50.1]], \"ry\": [1.56, 1.58, 1.6, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 763,
        "data_source": "Mono3DRefer",
        "scene_name": "002876",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.18, 3.11], \"boxes_2d\": [[667.92, 175.39, 767.79, 209.34], [649.02, 175.08, 702.96, 195.39]], \"boxes_3d\": [[1.45, 1.6, 4.23, 4.8, 1.59, 32.63], [1.48, 1.72, 3.99, 4.95, 1.67, 54.72]], \"ry\": [-0.04, -3.09]}\n```"
            }
        ]
    },
    {
        "id": 764,
        "data_source": "Mono3DRefer",
        "scene_name": "002882",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.04, 1.71], \"boxes_2d\": [[0.0, 201.04, 410.64, 374.0], [499.73, 185.21, 554.13, 224.07]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.41, 1.86, 6.77], [1.44, 1.7, 3.65, -3.35, 1.97, 29.39]], \"ry\": [1.59, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 765,
        "data_source": "Mono3DRefer",
        "scene_name": "002884",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.67, 1.5], \"boxes_2d\": [[394.18, 171.44, 478.03, 247.47], [433.4, 175.57, 479.41, 211.04]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.3, 1.68, 18.14], [1.47, 1.7, 4.39, -7.0, 1.62, 32.46]], \"ry\": [1.44, 1.29]}\n```"
            }
        ]
    },
    {
        "id": 766,
        "data_source": "Mono3DRefer",
        "scene_name": "002891",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.79], \"boxes_2d\": [[421.33, 182.55, 456.81, 202.43]], \"boxes_3d\": [[1.55, 1.88, 4.59, -14.08, 2.36, 59.61]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 767,
        "data_source": "Mono3DRefer",
        "scene_name": "002893",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.79, -2.4], \"boxes_2d\": [[791.51, 187.33, 910.34, 266.63], [0.0, 160.59, 336.65, 334.4]], \"boxes_3d\": [[1.52, 1.54, 4.5, 5.31, 1.88, 16.58], [1.59, 1.45, 3.15, -4.78, 1.5, 7.6]], \"ry\": [-1.49, -2.95]}\n```"
            }
        ]
    },
    {
        "id": 768,
        "data_source": "Mono3DRefer",
        "scene_name": "002901",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.07], \"boxes_2d\": [[218.46, 186.14, 296.08, 220.91]], \"boxes_3d\": [[1.45, 1.74, 3.42, -15.96, 2.08, 32.75]], \"ry\": [1.62]}\n```"
            }
        ]
    },
    {
        "id": 769,
        "data_source": "Mono3DRefer",
        "scene_name": "002908",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.94], \"boxes_2d\": [[254.58, 173.21, 322.13, 202.09]], \"boxes_3d\": [[1.34, 1.73, 3.98, -16.0, 1.39, 36.02]], \"ry\": [1.53]}\n```"
            }
        ]
    },
    {
        "id": 770,
        "data_source": "Mono3DRefer",
        "scene_name": "002913",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.35, 2.25], \"boxes_2d\": [[0.0, 173.07, 51.71, 241.69], [45.81, 181.81, 173.67, 232.37]], \"boxes_3d\": [[1.78, 1.6, 4.29, -16.66, 1.79, 18.22], [1.5, 1.47, 3.62, -16.22, 1.81, 23.55]], \"ry\": [1.61, 1.65]}\n```"
            }
        ]
    },
    {
        "id": 771,
        "data_source": "Mono3DRefer",
        "scene_name": "002916",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.53, 1.77], \"boxes_2d\": [[545.29, 166.7, 569.52, 190.13], [451.14, 179.86, 540.92, 240.43]], \"boxes_3d\": [[1.57, 1.55, 3.32, -3.67, 1.18, 50.47], [1.5, 1.7, 3.77, -3.08, 1.71, 19.97]], \"ry\": [-1.6, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 772,
        "data_source": "Mono3DRefer",
        "scene_name": "002928",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.09, -1.56, -0.9, -1.74, -1.36], \"boxes_2d\": [[797.36, 164.62, 1241.0, 374.0], [635.47, 172.07, 672.47, 203.15], [0.0, 213.72, 325.96, 374.0], [669.18, 170.16, 768.83, 243.39], [336.24, 181.41, 488.22, 285.87]], \"boxes_3d\": [[1.59, 1.59, 3.89, 2.55, 1.58, 4.66], [1.38, 1.64, 3.51, 2.05, 1.37, 34.05], [1.33, 1.71, 4.09, -2.93, 1.62, 3.22], [1.49, 1.56, 4.34, 2.38, 1.47, 17.03], [1.42, 1.53, 4.12, -3.14, 1.58, 12.06]], \"ry\": [-1.61, -1.5, -1.6, -1.6, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 773,
        "data_source": "Mono3DRefer",
        "scene_name": "002932",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.96], \"boxes_2d\": [[108.45, 198.69, 431.64, 374.0]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.45, 1.8, 8.19]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 774,
        "data_source": "Mono3DRefer",
        "scene_name": "002942",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.9, 1.4, 1.71, -1.73], \"boxes_2d\": [[110.52, 190.59, 406.78, 368.47], [656.62, 175.49, 744.23, 245.06], [465.18, 182.62, 531.3, 228.64], [637.68, 183.28, 699.03, 228.56]], \"boxes_3d\": [[1.45, 1.64, 4.21, -3.67, 1.69, 8.34], [1.62, 1.58, 3.89, 2.21, 1.71, 18.9], [1.45, 1.67, 4.43, -3.88, 1.81, 25.44], [1.47, 1.59, 3.62, 1.97, 1.85, 25.7]], \"ry\": [1.5, 1.51, 1.56, -1.66]}\n```"
            }
        ]
    },
    {
        "id": 775,
        "data_source": "Mono3DRefer",
        "scene_name": "002944",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.68], \"boxes_2d\": [[563.58, 167.5, 598.66, 194.93]], \"boxes_3d\": [[1.57, 1.67, 4.14, -1.17, 0.76, 43.61]], \"ry\": [1.65]}\n```"
            }
        ]
    },
    {
        "id": 776,
        "data_source": "Mono3DRefer",
        "scene_name": "002953",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.76, 2.53, 1.19], \"boxes_2d\": [[852.98, 168.11, 977.12, 213.19], [993.78, 157.87, 1172.75, 209.67], [252.65, 187.13, 324.39, 223.89]], \"boxes_3d\": [[1.38, 1.43, 3.4, 9.8, 1.26, 23.4], [1.58, 1.79, 4.7, 15.31, 1.14, 23.53], [1.52, 1.55, 3.91, -14.38, 2.16, 32.1]], \"ry\": [-3.14, 3.1, 0.77]}\n```"
            }
        ]
    },
    {
        "id": 777,
        "data_source": "Mono3DRefer",
        "scene_name": "002967",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.01, -2.13, -1.81, 1.73, 1.66, 1.68, 1.82], \"boxes_2d\": [[0.0, 206.9, 423.67, 374.0], [828.25, 197.05, 1241.0, 374.0], [714.21, 192.19, 911.15, 334.22], [481.06, 187.52, 556.88, 249.52], [527.13, 174.84, 584.06, 232.94], [561.1, 178.44, 610.32, 222.93], [618.74, 184.55, 658.11, 209.21]], \"boxes_3d\": [[1.44, 1.63, 3.32, -2.6, 1.76, 5.11], [1.55, 1.55, 3.27, 2.76, 1.75, 4.74], [1.48, 1.6, 3.79, 2.46, 1.79, 9.82], [1.56, 1.55, 3.64, -2.54, 2.0, 20.52], [1.91, 1.66, 4.22, -1.91, 2.0, 25.98], [1.83, 1.69, 4.28, -1.04, 2.09, 31.97], [1.51, 1.63, 4.03, 1.89, 2.3, 47.39]], \"ry\": [1.56, -1.63, -1.57, 1.61, 1.58, 1.65, 1.86]}\n```"
            }
        ]
    },
    {
        "id": 778,
        "data_source": "Mono3DRefer",
        "scene_name": "002972",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.05, -2.65, 1.81, 1.81, 2.04, 2.14, 2.21, 2.32, -1.69, 1.78, 3.0], \"boxes_2d\": [[837.69, 178.46, 1241.0, 374.0], [1218.94, 133.92, 1241.0, 225.41], [361.38, 180.23, 487.65, 267.71], [433.67, 178.56, 529.92, 240.95], [915.63, 158.11, 1020.21, 214.81], [841.8, 164.28, 938.19, 211.42], [810.7, 163.58, 892.99, 206.65], [793.38, 167.91, 877.67, 206.13], [677.87, 175.77, 739.29, 223.55], [513.68, 173.73, 569.18, 213.63], [726.2, 163.23, 790.27, 191.65]], \"boxes_3d\": [[1.58, 1.67, 3.43, 2.85, 1.63, 4.86], [1.84, 1.94, 3.68, 13.96, 1.03, 13.35], [1.51, 1.61, 3.57, -3.58, 1.67, 14.37], [1.5, 1.6, 4.17, -3.38, 1.66, 19.52], [1.71, 1.62, 3.56, 11.66, 1.28, 23.5], [1.52, 1.58, 3.28, 9.64, 1.25, 24.86], [1.55, 1.47, 2.97, 9.2, 1.23, 27.5], [1.55, 1.43, 3.49, 9.59, 1.35, 30.74], [1.58, 1.68, 3.93, 3.44, 1.7, 26.02], [1.58, 1.54, 3.98, -2.88, 1.64, 30.69], [1.71, 1.67, 3.7, 9.21, 1.14, 45.13]], \"ry\": [-1.55, -1.86, 1.56, 1.64, 2.49, 2.5, 2.53, 2.61, -1.56, 1.69, -3.08]}\n```"
            }
        ]
    },
    {
        "id": 779,
        "data_source": "Mono3DRefer",
        "scene_name": "002996",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.92, -2.02, -1.78, 1.72, 1.66, 1.68, 1.82], \"boxes_2d\": [[127.31, 201.27, 457.06, 374.0], [782.82, 192.9, 1164.62, 374.0], [699.74, 189.17, 859.58, 306.25], [489.94, 185.95, 559.05, 242.87], [530.43, 173.66, 584.13, 228.09], [562.54, 177.04, 609.24, 219.3], [617.19, 184.77, 655.33, 208.61]], \"boxes_3d\": [[1.44, 1.63, 3.32, -2.63, 1.77, 6.71], [1.55, 1.55, 3.27, 2.74, 1.76, 6.35], [1.48, 1.6, 3.79, 2.43, 1.77, 11.42], [1.56, 1.55, 3.64, -2.57, 1.98, 22.1], [1.91, 1.66, 4.22, -1.97, 1.96, 27.59], [1.83, 1.69, 4.28, -1.08, 2.04, 33.55], [1.51, 1.63, 4.03, 1.81, 2.35, 48.98]], \"ry\": [1.56, -1.63, -1.58, 1.61, 1.59, 1.65, 1.86]}\n```"
            }
        ]
    },
    {
        "id": 780,
        "data_source": "Mono3DRefer",
        "scene_name": "003032",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.09, 1.85, -1.62], \"boxes_2d\": [[0.0, 230.36, 343.0, 374.0], [295.11, 182.01, 461.7, 297.01], [616.34, 176.04, 660.05, 216.25]], \"boxes_3d\": [[1.27, 1.54, 3.58, -3.74, 1.89, 6.13], [1.63, 1.65, 3.91, -3.79, 1.8, 12.37], [1.46, 1.53, 3.17, 1.01, 1.6, 28.07]], \"ry\": [1.56, 1.56, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 781,
        "data_source": "Mono3DRefer",
        "scene_name": "003044",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.95, -1.06], \"boxes_2d\": [[0.0, 197.45, 96.07, 243.26], [49.25, 199.0, 160.92, 242.31]], \"boxes_3d\": [[1.52, 1.71, 4.11, -21.99, 2.52, 27.66], [1.42, 1.7, 4.14, -19.37, 2.49, 27.86]], \"ry\": [-1.62, -1.66]}\n```"
            }
        ]
    },
    {
        "id": 782,
        "data_source": "Mono3DRefer",
        "scene_name": "003045",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.67], \"boxes_2d\": [[510.7, 189.02, 561.67, 228.0]], \"boxes_3d\": [[1.42, 1.66, 4.11, -2.99, 2.12, 29.59]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 783,
        "data_source": "Mono3DRefer",
        "scene_name": "003047",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.68], \"boxes_2d\": [[551.06, 167.85, 582.87, 192.57]], \"boxes_3d\": [[1.57, 1.67, 4.14, -2.25, 0.7, 48.17]], \"ry\": [1.63]}\n```"
            }
        ]
    },
    {
        "id": 784,
        "data_source": "Mono3DRefer",
        "scene_name": "003053",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.93, -1.73, 1.74, -2.55], \"boxes_2d\": [[307.13, 178.74, 451.93, 227.73], [645.42, 169.93, 726.89, 235.13], [429.75, 184.08, 520.89, 251.21], [0.0, 188.22, 220.95, 344.02]], \"boxes_3d\": [[1.47, 1.53, 4.21, -7.39, 1.69, 23.3], [1.64, 1.62, 4.2, 2.01, 1.6, 20.5], [1.35, 1.47, 3.43, -3.04, 1.63, 16.63], [1.48, 1.61, 4.24, -6.81, 1.68, 7.74]], \"ry\": [3.05, -1.63, 1.56, 3.03]}\n```"
            }
        ]
    },
    {
        "id": 785,
        "data_source": "Mono3DRefer",
        "scene_name": "003068",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.03, -1.6], \"boxes_2d\": [[17.19, 184.7, 368.53, 374.0], [658.48, 165.88, 696.48, 201.6]], \"boxes_3d\": [[1.59, 1.63, 3.83, -4.12, 1.74, 7.84], [1.62, 1.7, 3.29, 3.18, 1.33, 34.81]], \"ry\": [1.56, -1.51]}\n```"
            }
        ]
    },
    {
        "id": 786,
        "data_source": "Mono3DRefer",
        "scene_name": "003069",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.76], \"boxes_2d\": [[486.41, 174.39, 536.81, 205.38]], \"boxes_3d\": [[1.42, 1.78, 3.62, -4.34, 1.1, 35.17]], \"ry\": [1.63]}\n```"
            }
        ]
    },
    {
        "id": 787,
        "data_source": "Mono3DRefer",
        "scene_name": "003081",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.89], \"boxes_2d\": [[259.4, 181.19, 507.03, 352.54]], \"boxes_3d\": [[1.57, 1.54, 4.01, -2.44, 1.68, 8.67]], \"ry\": [1.62]}\n```"
            }
        ]
    },
    {
        "id": 788,
        "data_source": "Mono3DRefer",
        "scene_name": "003087",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.86, 1.76, -1.78, -1.65, -1.43, 1.52, -2.73], \"boxes_2d\": [[0.0, 193.98, 299.45, 374.0], [472.34, 169.56, 548.58, 229.35], [707.14, 173.61, 858.8, 299.0], [686.2, 184.52, 777.2, 258.48], [514.76, 176.66, 566.48, 212.33], [632.75, 173.59, 660.18, 197.32], [177.94, 166.1, 403.54, 241.49]], \"boxes_3d\": [[1.47, 1.6, 3.66, -2.94, 1.6, 3.06], [1.7, 1.63, 4.08, -3.07, 1.64, 22.74], [1.59, 1.59, 2.47, 2.34, 1.62, 10.47], [1.37, 1.59, 3.22, 2.43, 1.64, 15.28], [1.4, 1.67, 3.72, -2.91, 1.58, 30.54], [1.49, 1.61, 3.74, 2.34, 1.56, 47.54], [1.59, 1.63, 4.43, -7.22, 1.48, 16.49]], \"ry\": [-1.59, 1.62, -1.57, -1.5, -1.53, 1.57, -3.14]}\n```"
            }
        ]
    },
    {
        "id": 789,
        "data_source": "Mono3DRefer",
        "scene_name": "003102",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.66], \"boxes_2d\": [[622.66, 174.57, 726.06, 267.98]], \"boxes_3d\": [[1.46, 1.53, 3.17, 1.0, 1.51, 12.99]], \"ry\": [-1.58]}\n```"
            }
        ]
    },
    {
        "id": 790,
        "data_source": "Mono3DRefer",
        "scene_name": "003104",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.03, 1.81, 1.85, 1.87, 1.86, -1.24], \"boxes_2d\": [[0.0, 148.83, 368.71, 374.0], [311.13, 182.88, 495.71, 331.88], [524.03, 194.51, 596.89, 241.22], [575.22, 192.66, 628.67, 230.7], [622.68, 188.98, 669.13, 219.03], [786.08, 179.09, 823.5, 200.17]], \"boxes_3d\": [[1.91, 1.66, 4.22, -3.18, 1.83, 5.17], [1.83, 1.69, 4.28, -2.96, 2.0, 11.15], [1.51, 1.63, 4.03, -1.79, 2.36, 26.81], [1.57, 1.44, 3.6, -0.34, 2.52, 33.08], [1.47, 1.51, 3.5, 1.92, 2.35, 38.34], [1.77, 1.75, 4.67, 17.21, 2.34, 63.64]], \"ry\": [1.5, 1.55, 1.78, 1.86, 1.91, -0.98]}\n```"
            }
        ]
    },
    {
        "id": 791,
        "data_source": "Mono3DRefer",
        "scene_name": "003123",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.38], \"boxes_2d\": [[307.62, 185.67, 444.03, 224.99]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.64, 1.86, 26.71]], \"ry\": [0.07]}\n```"
            }
        ]
    },
    {
        "id": 792,
        "data_source": "Mono3DRefer",
        "scene_name": "003145",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.59], \"boxes_2d\": [[153.0, 196.31, 188.73, 225.51]], \"boxes_3d\": [[1.45, 1.62, 3.83, -24.34, 2.79, 40.01]], \"ry\": [1.04]}\n```"
            }
        ]
    },
    {
        "id": 793,
        "data_source": "Mono3DRefer",
        "scene_name": "003152",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.77], \"boxes_2d\": [[394.33, 188.38, 511.88, 265.4]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.41, 1.83, 16.21]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 794,
        "data_source": "Mono3DRefer",
        "scene_name": "003159",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.45, -2.47, 2.81, 2.6], \"boxes_2d\": [[999.43, 196.82, 1241.0, 374.0], [0.0, 205.51, 123.41, 244.43], [826.05, 167.28, 930.55, 205.79], [944.65, 163.68, 1095.78, 208.17]], \"boxes_3d\": [[1.39, 1.45, 3.44, 2.96, 1.52, 2.37], [1.3, 1.7, 3.97, -20.6, 2.56, 26.7], [1.38, 1.43, 3.4, 10.05, 1.2, 27.27], [1.58, 1.79, 4.7, 15.38, 1.27, 27.26]], \"ry\": [-1.61, -3.12, -3.12, 3.11]}\n```"
            }
        ]
    },
    {
        "id": 795,
        "data_source": "Mono3DRefer",
        "scene_name": "003161",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.66], \"boxes_2d\": [[508.92, 197.24, 557.71, 239.89]], \"boxes_3d\": [[1.5, 1.62, 4.19, -3.09, 2.56, 29.46]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 796,
        "data_source": "Mono3DRefer",
        "scene_name": "003165",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.03, 1.84], \"boxes_2d\": [[201.39, 191.92, 290.89, 234.37], [388.2, 182.81, 431.66, 206.63]], \"boxes_3d\": [[1.45, 1.64, 3.61, -13.93, 2.22, 27.77], [1.57, 1.9, 4.16, -14.05, 2.29, 50.81]], \"ry\": [1.57, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 797,
        "data_source": "Mono3DRefer",
        "scene_name": "003166",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-0.67], \"boxes_2d\": [[1038.32, 168.53, 1241.0, 287.41]], \"boxes_3d\": [[1.42, 1.41, 4.3, 8.1, 1.37, 9.34]], \"ry\": [0.03]}\n```"
            }
        ]
    },
    {
        "id": 798,
        "data_source": "Mono3DRefer",
        "scene_name": "003172",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.11, -2.1, 1.26, 2.62, 0.75, 2.74], \"boxes_2d\": [[0.0, 189.43, 274.39, 347.91], [827.69, 184.91, 1241.0, 374.0], [464.88, 178.2, 519.18, 209.27], [544.07, 173.59, 607.48, 195.16], [341.95, 179.52, 418.58, 205.38], [649.14, 172.8, 716.3, 193.21]], \"boxes_3d\": [[1.49, 1.63, 3.68, -5.84, 1.73, 8.9], [1.49, 1.61, 3.55, 3.06, 1.6, 5.56], [1.41, 1.57, 3.53, -5.81, 1.69, 35.05], [1.47, 1.72, 4.22, -2.45, 1.54, 51.6], [1.42, 1.71, 4.14, -13.26, 1.83, 41.53], [1.48, 1.87, 4.74, 5.53, 1.51, 55.13]], \"ry\": [1.55, -1.62, 1.09, 2.58, 0.44, 2.84]}\n```"
            }
        ]
    },
    {
        "id": 799,
        "data_source": "Mono3DRefer",
        "scene_name": "003191",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.78, 1.71], \"boxes_2d\": [[400.8, 185.14, 511.67, 261.49], [487.45, 179.9, 550.28, 228.49]], \"boxes_3d\": [[1.44, 1.62, 3.67, -3.28, 1.73, 15.83], [1.51, 1.62, 3.68, -3.06, 1.76, 24.57]], \"ry\": [1.58, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 800,
        "data_source": "Mono3DRefer",
        "scene_name": "003205",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.95, 1.8], \"boxes_2d\": [[0.0, 173.41, 409.65, 374.0], [369.67, 180.82, 521.75, 293.95]], \"boxes_3d\": [[1.65, 1.75, 3.39, -2.57, 1.68, 4.71], [1.57, 1.54, 4.01, -2.6, 1.71, 12.12]], \"ry\": [1.47, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 801,
        "data_source": "Mono3DRefer",
        "scene_name": "003217",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.0], \"boxes_2d\": [[243.42, 189.97, 323.24, 225.32]], \"boxes_3d\": [[1.56, 1.91, 4.44, -16.05, 2.44, 35.64]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 802,
        "data_source": "Mono3DRefer",
        "scene_name": "003222",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.16], \"boxes_2d\": [[112.83, 187.73, 220.84, 231.81]], \"boxes_3d\": [[1.45, 1.74, 3.42, -16.07, 2.02, 26.3]], \"ry\": [1.61]}\n```"
            }
        ]
    },
    {
        "id": 803,
        "data_source": "Mono3DRefer",
        "scene_name": "003223",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.82], \"boxes_2d\": [[509.71, 174.93, 565.71, 203.59]], \"boxes_3d\": [[1.37, 1.78, 4.65, -3.68, 1.5, 37.24]], \"ry\": [1.72]}\n```"
            }
        ]
    },
    {
        "id": 804,
        "data_source": "Mono3DRefer",
        "scene_name": "003248",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.63], \"boxes_2d\": [[443.74, 184.29, 493.62, 229.14]], \"boxes_3d\": [[1.65, 1.75, 3.39, -5.62, 2.12, 28.83]], \"ry\": [1.43]}\n```"
            }
        ]
    },
    {
        "id": 805,
        "data_source": "Mono3DRefer",
        "scene_name": "003276",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.12], \"boxes_2d\": [[119.15, 195.55, 242.72, 244.0]], \"boxes_3d\": [[1.46, 1.86, 4.01, -14.86, 2.3, 25.21]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 806,
        "data_source": "Mono3DRefer",
        "scene_name": "003279",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-3.11, -1.61, 1.68], \"boxes_2d\": [[391.56, 180.03, 661.98, 271.9], [536.85, 184.41, 564.41, 208.85], [441.1, 188.1, 476.01, 212.74]], \"boxes_3d\": [[1.47, 1.77, 4.49, -1.48, 1.62, 12.97], [1.52, 1.62, 4.5, -4.03, 2.31, 48.19], [1.42, 1.66, 4.5, -9.57, 2.42, 45.73]], \"ry\": [3.06, -1.7, 1.48]}\n```"
            }
        ]
    },
    {
        "id": 807,
        "data_source": "Mono3DRefer",
        "scene_name": "003288",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.79, -2.41, 0.53, -2.62, -2.71, 0.33, -2.78, -1.77, -2.85, -2.86, -1.67, -1.68], \"boxes_2d\": [[697.78, 166.52, 853.84, 286.11], [0.0, 185.52, 212.03, 348.81], [0.0, 184.8, 334.04, 309.31], [98.2, 185.86, 369.88, 280.62], [190.61, 181.71, 392.39, 259.98], [273.39, 164.91, 463.75, 242.2], [258.17, 176.29, 422.6, 251.0], [677.52, 183.29, 770.37, 246.67], [318.22, 166.59, 452.41, 232.42], [357.86, 174.58, 487.87, 223.98], [641.59, 179.1, 681.01, 210.3], [663.45, 178.46, 728.46, 229.71]], \"boxes_3d\": [[1.76, 1.71, 4.35, 2.69, 1.7, 12.9], [1.52, 1.58, 3.61, -6.49, 1.68, 7.63], [1.52, 1.71, 4.49, -6.44, 1.71, 9.98], [1.49, 1.61, 3.87, -6.4, 1.74, 12.44], [1.5, 1.58, 3.47, -6.54, 1.7, 14.93], [1.95, 1.64, 4.57, -6.44, 1.78, 19.42], [1.66, 1.58, 3.31, -6.37, 1.77, 17.16], [1.44, 1.66, 3.25, 2.76, 1.72, 18.35], [1.87, 1.61, 3.53, -6.73, 1.72, 21.72], [1.72, 1.65, 4.33, -6.85, 1.81, 26.54], [1.45, 1.59, 3.59, 2.47, 1.78, 35.8], [1.54, 1.67, 3.72, 2.71, 1.74, 23.77]], \"ry\": [-1.59, -3.1, -0.03, -3.09, -3.12, 0.01, -3.13, -1.63, 3.14, -3.11, -1.6, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 808,
        "data_source": "Mono3DRefer",
        "scene_name": "003289",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, 2.48, 1.86, -1.57], \"boxes_2d\": [[602.75, 177.49, 673.26, 234.8], [1044.38, 168.43, 1193.57, 210.72], [374.66, 177.84, 426.84, 208.43], [583.69, 175.82, 627.1, 215.44]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.63, 1.5, 19.1], [1.45, 1.67, 4.32, 18.46, 1.32, 26.32], [1.59, 1.72, 3.86, -11.51, 1.88, 39.82], [1.52, 1.67, 3.61, -0.22, 1.66, 29.73]], \"ry\": [-1.57, 3.09, 1.58, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 809,
        "data_source": "Mono3DRefer",
        "scene_name": "003293",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.52, -1.98, 1.77, -1.78], \"boxes_2d\": [[691.09, 177.39, 718.63, 201.62], [799.44, 181.62, 1174.24, 374.0], [519.17, 182.55, 597.49, 237.78], [763.68, 147.92, 914.32, 297.61]], \"boxes_3d\": [[1.54, 1.63, 3.67, 6.34, 1.86, 48.18], [1.58, 1.67, 3.84, 3.18, 1.68, 7.12], [1.53, 1.67, 3.78, -1.53, 1.84, 22.14], [2.05, 1.5, 3.83, 3.52, 1.74, 11.87]], \"ry\": [-1.39, -1.57, 1.7, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 810,
        "data_source": "Mono3DRefer",
        "scene_name": "003297",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.55], \"boxes_2d\": [[655.44, 181.0, 784.23, 297.56]], \"boxes_3d\": [[1.57, 1.73, 4.15, 1.69, 1.72, 11.93]], \"ry\": [1.69]}\n```"
            }
        ]
    },
    {
        "id": 811,
        "data_source": "Mono3DRefer",
        "scene_name": "003320",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.78, 2.58, 2.09, 1.9], \"boxes_2d\": [[1184.31, 178.71, 1241.0, 331.02], [886.11, 150.38, 1206.8, 279.9], [0.0, 189.02, 272.92, 374.0], [183.24, 185.16, 394.51, 313.5]], \"boxes_3d\": [[1.46, 1.49, 3.63, 7.71, 1.51, 7.71], [1.71, 1.67, 3.7, 6.2, 1.43, 10.59], [1.64, 1.63, 4.51, -4.42, 1.8, 5.81], [1.6, 1.66, 4.33, -4.82, 1.82, 11.44]], \"ry\": [2.55, 3.09, 1.46, 1.51]}\n```"
            }
        ]
    },
    {
        "id": 812,
        "data_source": "Mono3DRefer",
        "scene_name": "003332",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.64, 1.81], \"boxes_2d\": [[547.12, 175.78, 580.33, 201.5], [369.13, 180.26, 513.26, 281.66]], \"boxes_3d\": [[1.42, 1.66, 4.11, -2.7, 1.61, 42.4], [1.6, 1.68, 3.94, -2.99, 1.74, 13.43]], \"ry\": [1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 813,
        "data_source": "Mono3DRefer",
        "scene_name": "003346",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.7, 1.68], \"boxes_2d\": [[663.4, 176.74, 715.27, 219.44], [485.35, 176.15, 558.63, 233.86]], \"boxes_3d\": [[1.6, 1.53, 4.18, 3.12, 1.77, 29.34], [1.55, 1.68, 4.42, -2.59, 1.67, 21.8]], \"ry\": [-1.6, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 814,
        "data_source": "Mono3DRefer",
        "scene_name": "003351",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.86, 2.06], \"boxes_2d\": [[398.61, 179.27, 437.37, 199.08], [182.21, 189.03, 284.2, 235.82]], \"boxes_3d\": [[1.56, 1.91, 4.44, -15.84, 2.1, 59.69], [1.48, 1.71, 3.54, -13.24, 2.08, 25.5]], \"ry\": [1.6, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 815,
        "data_source": "Mono3DRefer",
        "scene_name": "003358",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-2.13, 1.67, -1.69], \"boxes_2d\": [[864.03, 211.46, 1241.0, 374.0], [496.54, 175.04, 561.58, 227.74], [660.01, 175.9, 707.99, 215.92]], \"boxes_3d\": [[1.37, 1.51, 3.39, 2.68, 1.66, 3.92], [1.55, 1.68, 4.42, -2.59, 1.65, 23.67], [1.6, 1.53, 4.18, 3.1, 1.75, 31.16]], \"ry\": [-1.56, 1.56, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 816,
        "data_source": "Mono3DRefer",
        "scene_name": "003360",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.41], \"boxes_2d\": [[609.07, 186.03, 658.34, 218.99]], \"boxes_3d\": [[1.44, 1.66, 4.53, 1.18, 2.1, 34.77]], \"ry\": [-1.38]}\n```"
            }
        ]
    },
    {
        "id": 817,
        "data_source": "Mono3DRefer",
        "scene_name": "003376",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.61], \"boxes_2d\": [[538.88, 175.16, 565.94, 200.78]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.01, 1.89, 50.45]], \"ry\": [1.53]}\n```"
            }
        ]
    },
    {
        "id": 818,
        "data_source": "Mono3DRefer",
        "scene_name": "003409",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.74, -1.67, -2.36, -0.91, 1.86, 1.83, 1.75, 1.72, 2.85, 2.87, -0.66, -0.61, -0.59, -0.58], \"boxes_2d\": [[501.92, 180.86, 540.94, 206.64], [665.64, 171.65, 705.02, 202.59], [945.13, 177.69, 1241.0, 374.0], [0.0, 199.64, 230.34, 374.0], [330.46, 186.13, 442.08, 254.34], [400.85, 186.02, 477.97, 233.93], [443.01, 183.76, 497.49, 222.72], [471.31, 182.89, 518.51, 214.39], [782.77, 154.41, 889.68, 195.34], [756.29, 156.1, 835.9, 191.9], [1107.58, 133.23, 1241.0, 173.32], [1065.54, 135.26, 1196.74, 175.01], [1036.7, 140.17, 1164.17, 173.82], [1011.22, 141.36, 1128.71, 173.61]], \"boxes_3d\": [[1.43, 1.61, 4.13, -5.2, 1.91, 42.55], [1.47, 1.6, 3.87, 3.74, 1.44, 36.62], [1.55, 1.66, 4.15, 3.05, 1.57, 2.76], [1.63, 1.61, 3.81, -5.83, 1.97, 7.48], [1.53, 1.68, 3.86, -5.67, 1.9, 18.63], [1.42, 1.55, 3.85, -5.61, 1.88, 24.0], [1.43, 1.48, 3.71, -5.56, 1.88, 28.9], [1.4, 1.65, 4.02, -5.52, 1.9, 34.82], [1.64, 1.59, 3.99, 9.45, 0.91, 30.42], [1.67, 1.67, 3.43, 9.03, 0.9, 35.29], [1.53, 1.85, 4.27, 23.15, -0.01, 29.57], [1.67, 1.85, 4.49, 23.2, 0.07, 32.27], [1.53, 1.85, 4.94, 23.84, 0.01, 35.23], [1.57, 1.85, 4.92, 23.8, 0.01, 37.48]], \"ry\": [1.61, -1.57, -1.58, -1.55, 1.57, 1.6, 1.56, 1.56, -3.14, 3.12, 0.0, 0.01, -0.0, -0.01]}\n```"
            }
        ]
    },
    {
        "id": 819,
        "data_source": "Mono3DRefer",
        "scene_name": "003410",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.18, -1.72, -1.4, -1.88, -1.54], \"boxes_2d\": [[0.92, 197.79, 430.44, 374.0], [654.5, 171.96, 734.69, 231.36], [396.29, 179.49, 504.94, 257.91], [731.01, 167.06, 1005.9, 356.93], [626.66, 173.05, 660.48, 201.29]], \"boxes_3d\": [[1.33, 1.71, 4.09, -2.97, 1.62, 6.47], [1.49, 1.56, 4.34, 2.25, 1.5, 20.49], [1.42, 1.53, 4.12, -3.28, 1.58, 15.34], [1.59, 1.59, 3.89, 2.48, 1.57, 8.08], [1.38, 1.64, 3.51, 1.75, 1.41, 37.29]], \"ry\": [-1.6, -1.62, -1.61, -1.59, -1.5]}\n```"
            }
        ]
    },
    {
        "id": 820,
        "data_source": "Mono3DRefer",
        "scene_name": "003416",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.48, -0.47, -0.42, -2.83, -3.05], \"boxes_2d\": [[157.89, 193.75, 456.71, 285.39], [831.68, 172.3, 1241.0, 333.3], [767.72, 159.48, 1106.2, 287.31], [368.31, 185.46, 518.33, 235.28], [418.33, 183.49, 536.85, 221.76]], \"boxes_3d\": [[1.38, 1.66, 4.38, -5.03, 1.77, 12.17], [1.48, 1.86, 4.18, 4.66, 1.49, 7.62], [1.74, 1.66, 4.37, 4.74, 1.58, 10.94], [1.47, 1.67, 4.28, -5.21, 1.89, 22.68], [1.38, 1.67, 4.37, -5.09, 1.81, 27.96]], \"ry\": [0.09, 0.06, -0.03, -3.05, 3.05]}\n```"
            }
        ]
    },
    {
        "id": 821,
        "data_source": "Mono3DRefer",
        "scene_name": "003445",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.58], \"boxes_2d\": [[587.35, 183.5, 625.37, 217.88]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.19, 1.91, 32.67]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 822,
        "data_source": "Mono3DRefer",
        "scene_name": "003451",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.64, 1.48], \"boxes_2d\": [[417.51, 176.26, 485.7, 241.28], [439.4, 180.02, 483.18, 212.5]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.53, 1.8, 20.89], [1.47, 1.7, 4.39, -7.36, 1.83, 35.3]], \"ry\": [1.43, 1.28]}\n```"
            }
        ]
    },
    {
        "id": 823,
        "data_source": "Mono3DRefer",
        "scene_name": "003452",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.49, 1.8], \"boxes_2d\": [[350.72, 192.41, 387.53, 223.18], [242.66, 194.15, 451.83, 336.97]], \"boxes_3d\": [[1.65, 1.75, 3.39, -14.11, 2.82, 42.09], [1.47, 1.7, 4.39, -3.43, 1.82, 10.17]], \"ry\": [1.17, 1.48]}\n```"
            }
        ]
    },
    {
        "id": 824,
        "data_source": "Mono3DRefer",
        "scene_name": "003466",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.62], \"boxes_2d\": [[557.34, 157.01, 585.8, 180.84]], \"boxes_3d\": [[1.49, 1.68, 4.08, -1.91, -0.06, 47.44]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 825,
        "data_source": "Mono3DRefer",
        "scene_name": "003478",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.75, -1.98, -1.75, -1.41, 1.51, -2.58], \"boxes_2d\": [[438.91, 171.93, 537.88, 252.06], [803.1, 184.61, 1220.06, 374.0], [726.63, 191.29, 895.69, 315.47], [502.82, 182.12, 567.59, 225.9], [644.21, 177.53, 676.25, 204.33], [0.0, 170.29, 320.85, 283.07]], \"boxes_3d\": [[1.7, 1.63, 4.08, -2.85, 1.71, 17.5], [1.59, 1.59, 2.47, 2.44, 1.69, 5.1], [1.37, 1.59, 3.22, 2.53, 1.66, 9.91], [1.4, 1.67, 3.72, -2.59, 1.74, 25.38], [1.49, 1.61, 3.74, 2.88, 1.78, 42.33], [1.59, 1.63, 4.43, -7.1, 1.59, 11.25]], \"ry\": [1.59, -1.55, -1.51, -1.51, 1.57, -3.13]}\n```"
            }
        ]
    },
    {
        "id": 826,
        "data_source": "Mono3DRefer",
        "scene_name": "003483",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.04, -1.33, 1.47], \"boxes_2d\": [[0.0, 157.56, 411.14, 374.0], [375.78, 188.05, 513.37, 276.76], [634.67, 181.93, 682.42, 219.87]], \"boxes_3d\": [[1.7, 1.63, 4.08, -3.01, 1.65, 5.73], [1.4, 1.67, 3.72, -3.01, 1.72, 13.71], [1.49, 1.61, 3.74, 1.96, 1.88, 30.59]], \"ry\": [1.57, -1.54, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 827,
        "data_source": "Mono3DRefer",
        "scene_name": "003486",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.51, 2.43, -1.85, 1.77, -1.72], \"boxes_2d\": [[694.16, 180.37, 722.37, 205.02], [0.0, 152.96, 135.69, 361.68], [758.17, 178.74, 959.72, 311.06], [570.63, 182.12, 628.06, 221.85], [744.48, 157.93, 848.68, 268.8]], \"boxes_3d\": [[1.54, 1.63, 3.67, 6.49, 2.05, 47.57], [1.93, 1.59, 4.01, -6.52, 1.76, 6.43], [1.58, 1.67, 3.84, 3.36, 1.68, 10.63], [1.53, 1.67, 3.78, -0.41, 1.93, 30.02], [2.05, 1.5, 3.83, 3.79, 1.8, 15.34]], \"ry\": [-1.38, 1.66, -1.56, 1.75, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 828,
        "data_source": "Mono3DRefer",
        "scene_name": "003494",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.76, -1.64, -1.7, 0.3, 0.46, -1.65, -1.57, 1.93, -2.31, -1.98], \"boxes_2d\": [[681.42, 180.55, 785.6, 256.04], [647.47, 178.91, 690.39, 215.39], [667.47, 177.38, 738.4, 235.74], [322.53, 190.21, 410.74, 222.28], [204.7, 191.63, 304.17, 225.1], [635.58, 178.6, 662.77, 201.2], [594.27, 178.41, 619.2, 202.13], [143.78, 197.57, 449.39, 374.0], [904.66, 178.71, 1241.0, 374.0], [785.41, 170.22, 1074.24, 374.0]], \"boxes_3d\": [[1.5, 1.59, 3.79, 2.64, 1.69, 16.44], [1.49, 1.57, 4.07, 2.5, 1.76, 31.74], [1.57, 1.59, 3.75, 2.65, 1.73, 21.55], [1.52, 1.51, 3.94, -12.25, 2.42, 36.37], [1.58, 1.56, 4.24, -17.9, 2.56, 36.36], [1.49, 1.55, 3.93, 2.67, 1.91, 50.2], [1.54, 1.63, 3.67, -0.25, 1.94, 49.35], [1.45, 1.59, 3.59, -2.91, 1.75, 7.45], [1.64, 1.64, 3.89, 2.72, 1.67, 2.74], [1.69, 1.39, 2.65, 2.67, 1.7, 6.7]], \"ry\": [-1.61, -1.56, -1.58, -0.02, 0.01, -1.6, -1.58, 1.57, -1.58, -1.62]}\n```"
            }
        ]
    },
    {
        "id": 829,
        "data_source": "Mono3DRefer",
        "scene_name": "003516",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.57, -2.86], \"boxes_2d\": [[0.0, 208.84, 238.54, 338.87], [299.0, 190.28, 439.26, 242.43]], \"boxes_3d\": [[1.42, 1.62, 3.5, -6.97, 1.94, 9.22], [1.41, 1.54, 3.6, -7.02, 1.95, 21.13]], \"ry\": [3.07, 3.1]}\n```"
            }
        ]
    },
    {
        "id": 830,
        "data_source": "Mono3DRefer",
        "scene_name": "003517",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.8, 1.61, -2.87, 2.95], \"boxes_2d\": [[402.2, 187.19, 504.27, 256.75], [525.35, 182.16, 553.42, 203.82], [0.0, 194.19, 127.2, 312.62], [423.23, 181.17, 505.37, 210.82]], \"boxes_3d\": [[1.39, 1.52, 3.56, -3.55, 1.75, 16.73], [1.34, 1.64, 4.57, -4.67, 1.98, 47.96], [1.53, 1.54, 4.35, -9.31, 1.86, 9.79], [1.52, 1.41, 4.22, -8.02, 2.01, 39.6]], \"ry\": [1.59, 1.52, 2.67, 2.75]}\n```"
            }
        ]
    },
    {
        "id": 831,
        "data_source": "Mono3DRefer",
        "scene_name": "003518",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.08, 2.17], \"boxes_2d\": [[0.0, 185.83, 353.24, 346.25], [1165.02, 150.45, 1241.0, 202.55]], \"boxes_3d\": [[1.37, 1.78, 4.65, -4.9, 1.56, 8.72], [1.48, 1.51, 4.35, 19.13, 0.83, 21.72]], \"ry\": [1.58, 2.89]}\n```"
            }
        ]
    },
    {
        "id": 832,
        "data_source": "Mono3DRefer",
        "scene_name": "003524",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.84, 1.65], \"boxes_2d\": [[285.12, 194.74, 448.54, 304.45], [514.95, 178.87, 558.59, 211.13]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.75, 1.79, 11.63], [1.46, 1.75, 4.23, -3.54, 1.77, 35.23]], \"ry\": [1.53, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 833,
        "data_source": "Mono3DRefer",
        "scene_name": "003553",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.27, 2.05, 1.86], \"boxes_2d\": [[0.0, 198.63, 57.49, 255.6], [186.84, 191.84, 273.15, 233.95], [389.57, 187.13, 424.47, 204.87]], \"boxes_3d\": [[1.67, 1.82, 4.42, -19.52, 2.53, 22.06], [1.63, 1.87, 3.47, -16.25, 2.49, 30.99], [1.33, 1.72, 3.63, -16.27, 2.5, 57.92]], \"ry\": [1.55, 1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 834,
        "data_source": "Mono3DRefer",
        "scene_name": "003565",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.05, -1.24, 1.79, -1.88, -1.73, 1.71, 1.66, 1.68], \"boxes_2d\": [[791.58, 199.04, 1241.0, 374.0], [122.28, 194.05, 451.58, 374.0], [356.34, 191.77, 509.0, 303.13], [711.61, 185.4, 882.04, 305.9], [670.16, 185.83, 770.13, 262.68], [507.8, 184.64, 563.14, 230.56], [539.23, 173.54, 585.23, 219.37], [564.21, 176.37, 604.75, 213.01]], \"boxes_3d\": [[1.54, 1.6, 3.52, 2.39, 1.76, 4.56], [1.54, 1.5, 3.48, -2.55, 1.77, 6.48], [1.44, 1.63, 3.32, -2.69, 1.78, 11.47], [1.55, 1.55, 3.27, 2.67, 1.76, 11.19], [1.48, 1.6, 3.79, 2.31, 1.8, 16.25], [1.56, 1.55, 3.64, -2.74, 2.02, 26.86], [1.91, 1.66, 4.22, -2.11, 1.97, 32.37], [1.83, 1.69, 4.28, -1.33, 2.03, 38.38]], \"ry\": [-1.6, -1.61, 1.56, -1.65, -1.59, 1.61, 1.6, 1.64]}\n```"
            }
        ]
    },
    {
        "id": 835,
        "data_source": "Mono3DRefer",
        "scene_name": "003569",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.19, 1.85, 1.85, 1.89, 1.86, -1.25], \"boxes_2d\": [[0.0, 145.42, 301.83, 374.0], [240.73, 167.59, 477.4, 349.02], [516.83, 182.43, 594.35, 230.45], [569.04, 180.59, 626.93, 219.46], [620.27, 182.01, 668.66, 212.8], [788.94, 165.74, 827.12, 187.24]], \"boxes_3d\": [[1.91, 1.66, 4.22, -3.18, 1.82, 3.57], [1.83, 1.69, 4.28, -2.99, 1.8, 9.48], [1.51, 1.63, 4.03, -1.84, 1.86, 25.14], [1.57, 1.44, 3.6, -0.49, 1.92, 31.34], [1.47, 1.51, 3.5, 1.77, 1.95, 36.71], [1.77, 1.75, 4.67, 17.03, 1.2, 61.96]], \"ry\": [1.5, 1.55, 1.78, 1.87, 1.91, -0.98]}\n```"
            }
        ]
    },
    {
        "id": 836,
        "data_source": "Mono3DRefer",
        "scene_name": "003573",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[819.48, 120.53, 858.01, 148.47]], \"boxes_3d\": [[1.5, 1.62, 4.19, 14.58, -1.65, 45.93]], \"ry\": [2.05]}\n```"
            }
        ]
    },
    {
        "id": 837,
        "data_source": "Mono3DRefer",
        "scene_name": "003575",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.59, -0.54], \"boxes_2d\": [[237.07, 183.53, 457.92, 273.33], [130.3, 168.19, 384.05, 268.22]], \"boxes_3d\": [[1.41, 1.62, 3.6, -4.84, 1.64, 13.57], [1.77, 1.96, 4.39, -7.24, 1.71, 15.16]], \"ry\": [-0.93, -0.98]}\n```"
            }
        ]
    },
    {
        "id": 838,
        "data_source": "Mono3DRefer",
        "scene_name": "003577",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.23, -1.7, 1.77, 3.01, 2.05, -1.95, -2.61, 1.83, 1.81, 2.06, 2.16], \"boxes_2d\": [[810.84, 163.69, 889.6, 204.4], [687.28, 173.35, 745.64, 218.25], [531.53, 172.54, 583.56, 210.25], [734.1, 162.5, 796.12, 189.99], [99.33, 185.65, 496.14, 374.0], [803.55, 175.69, 1185.25, 374.0], [1185.36, 138.75, 1241.0, 226.45], [399.12, 179.48, 514.28, 256.28], [460.35, 178.62, 548.89, 235.61], [909.33, 160.17, 1009.71, 213.46], [841.7, 164.6, 933.88, 208.92]], \"boxes_3d\": [[1.55, 1.47, 2.97, 9.63, 1.21, 28.98], [1.58, 1.68, 3.93, 3.95, 1.62, 27.56], [1.58, 1.54, 3.98, -2.32, 1.59, 32.36], [1.71, 1.67, 3.7, 9.96, 1.08, 46.64], [1.54, 1.64, 4.08, -2.56, 1.69, 6.99], [1.58, 1.67, 3.43, 2.94, 1.63, 6.47], [1.84, 1.94, 3.68, 14.31, 1.11, 14.65], [1.51, 1.61, 3.57, -3.32, 1.67, 16.06], [1.5, 1.6, 4.17, -3.01, 1.68, 21.15], [1.71, 1.62, 3.56, 12.05, 1.31, 24.88], [1.52, 1.58, 3.28, 10.12, 1.24, 26.33]], \"ry\": [2.55, -1.56, 1.7, -3.07, 1.71, -1.54, -1.85, 1.63, 1.67, 2.51, 2.52]}\n```"
            }
        ]
    },
    {
        "id": 839,
        "data_source": "Mono3DRefer",
        "scene_name": "003578",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.68, 1.61], \"boxes_2d\": [[474.39, 187.54, 520.84, 227.84], [453.96, 187.34, 512.62, 243.1]], \"boxes_3d\": [[1.57, 1.54, 4.01, -4.81, 2.23, 31.11], [1.65, 1.75, 3.39, -4.14, 2.15, 23.74]], \"ry\": [1.52, 1.44]}\n```"
            }
        ]
    },
    {
        "id": 840,
        "data_source": "Mono3DRefer",
        "scene_name": "003584",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.73], \"boxes_2d\": [[412.35, 195.22, 525.22, 277.11]], \"boxes_3d\": [[1.46, 1.75, 4.23, -3.0, 2.01, 15.94]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 841,
        "data_source": "Mono3DRefer",
        "scene_name": "003585",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.66, 2.02, 1.99, 2.56, 1.94, 1.64, -1.54, 2.14, -0.69], \"boxes_2d\": [[531.68, 181.52, 554.68, 202.15], [231.31, 178.4, 287.19, 207.97], [276.94, 181.61, 325.0, 204.62], [988.38, 194.13, 1081.47, 227.29], [317.97, 181.95, 357.21, 202.85], [548.46, 179.73, 569.1, 196.37], [564.93, 178.81, 617.28, 230.97], [163.51, 182.38, 236.92, 212.39], [1077.9, 196.28, 1154.69, 226.85]], \"boxes_3d\": [[1.47, 1.43, 3.11, -4.96, 2.12, 53.64], [1.71, 1.44, 4.06, -21.45, 2.07, 44.23], [1.53, 1.67, 3.88, -21.67, 2.16, 50.69], [1.68, 1.39, 4.26, 22.95, 2.87, 39.07], [1.53, 1.47, 4.05, -21.01, 2.25, 55.74], [1.41, 1.48, 4.93, -4.53, 2.03, 64.08], [1.62, 1.63, 4.5, -0.63, 1.84, 24.92], [1.46, 1.31, 4.15, -21.41, 1.97, 37.82], [1.57, 1.8, 2.99, 27.91, 2.9, 39.86]], \"ry\": [1.56, 1.57, 1.59, 3.09, 1.58, 1.57, -1.57, 1.63, -0.08]}\n```"
            }
        ]
    },
    {
        "id": 842,
        "data_source": "Mono3DRefer",
        "scene_name": "003610",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.6, 1.68], \"boxes_2d\": [[454.25, 186.21, 516.58, 245.31], [476.63, 188.27, 525.76, 230.58]], \"boxes_3d\": [[1.65, 1.75, 3.39, -3.85, 2.08, 22.43], [1.57, 1.54, 4.01, -4.46, 2.23, 29.79]], \"ry\": [1.43, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 843,
        "data_source": "Mono3DRefer",
        "scene_name": "003623",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.64], \"boxes_2d\": [[518.74, 200.28, 564.2, 241.29]], \"boxes_3d\": [[1.5, 1.62, 4.19, -2.9, 2.74, 30.86]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 844,
        "data_source": "Mono3DRefer",
        "scene_name": "003630",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.9], \"boxes_2d\": [[360.57, 185.95, 409.88, 212.85]], \"boxes_3d\": [[1.48, 1.71, 3.54, -13.26, 2.28, 42.67]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 845,
        "data_source": "Mono3DRefer",
        "scene_name": "003631",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.6], \"boxes_2d\": [[237.55, 193.5, 272.32, 222.41]], \"boxes_3d\": [[1.45, 1.62, 3.83, -19.74, 2.64, 40.15]], \"ry\": [1.14]}\n```"
            }
        ]
    },
    {
        "id": 846,
        "data_source": "Mono3DRefer",
        "scene_name": "003635",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.57], \"boxes_2d\": [[583.65, 212.45, 614.38, 244.6]], \"boxes_3d\": [[1.5, 1.62, 4.19, -0.65, 3.82, 40.4]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 847,
        "data_source": "Mono3DRefer",
        "scene_name": "003671",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.19, 3.11], \"boxes_2d\": [[665.2, 178.52, 760.87, 211.04], [650.04, 177.13, 702.57, 196.91]], \"boxes_3d\": [[1.45, 1.6, 4.23, 4.79, 1.74, 34.06], [1.48, 1.72, 3.99, 5.11, 1.83, 56.17]], \"ry\": [-0.05, -3.09]}\n```"
            }
        ]
    },
    {
        "id": 848,
        "data_source": "Mono3DRefer",
        "scene_name": "003674",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.23, -1.14, 1.82, -1.91, -1.74, 1.71, 1.66, 1.68, 1.82], \"boxes_2d\": [[853.14, 206.38, 1241.0, 374.0], [0.0, 197.09, 419.36, 374.0], [311.94, 193.53, 498.09, 326.94], [730.41, 184.87, 939.29, 329.28], [678.36, 186.99, 793.41, 273.88], [503.5, 184.09, 562.59, 233.02], [536.9, 171.95, 585.11, 220.29], [564.61, 175.51, 606.97, 213.84], [613.94, 180.83, 649.84, 202.85]], \"boxes_3d\": [[1.54, 1.6, 3.52, 2.41, 1.75, 2.98], [1.54, 1.5, 3.48, -2.52, 1.75, 4.9], [1.44, 1.63, 3.32, -2.65, 1.77, 9.9], [1.55, 1.55, 3.27, 2.72, 1.73, 9.6], [1.48, 1.6, 3.79, 2.36, 1.8, 14.64], [1.56, 1.55, 3.64, -2.66, 1.97, 25.28], [1.91, 1.66, 4.22, -2.05, 1.9, 30.8], [1.83, 1.69, 4.28, -1.2, 1.98, 36.79], [1.51, 1.63, 4.03, 1.61, 2.1, 52.24]], \"ry\": [-1.6, -1.6, 1.56, -1.64, -1.59, 1.61, 1.59, 1.64, 1.85]}\n```"
            }
        ]
    },
    {
        "id": 849,
        "data_source": "Mono3DRefer",
        "scene_name": "003701",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.97, -1.04, 1.72, -1.17, 1.94, 1.65, -1.54], \"boxes_2d\": [[76.8, 169.71, 416.69, 370.62], [145.73, 180.33, 220.66, 215.14], [474.8, 177.86, 532.53, 218.99], [309.8, 176.0, 350.44, 198.64], [337.03, 175.11, 377.6, 196.12], [529.81, 173.16, 560.99, 201.39], [584.48, 174.58, 622.53, 211.74]], \"boxes_3d\": [[1.66, 1.67, 4.49, -3.69, 1.67, 8.28], [1.56, 1.72, 3.09, -20.21, 1.92, 34.24], [1.46, 1.59, 4.12, -4.07, 1.67, 27.94], [1.57, 1.57, 3.32, -20.28, 1.82, 52.34], [1.57, 1.2, 5.24, -19.92, 1.77, 57.02], [1.72, 1.66, 4.32, -4.15, 1.77, 46.63], [1.62, 1.63, 4.5, -0.28, 1.73, 34.05]], \"ry\": [1.56, -1.57, 1.58, -1.54, 1.61, 1.56, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 850,
        "data_source": "Mono3DRefer",
        "scene_name": "003705",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.82, 1.65], \"boxes_2d\": [[313.64, 193.37, 458.81, 292.73], [517.38, 178.17, 559.19, 209.42]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.76, 1.79, 12.59], [1.46, 1.75, 4.23, -3.58, 1.75, 36.3]], \"ry\": [1.53, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 851,
        "data_source": "Mono3DRefer",
        "scene_name": "003710",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.82, -2.31, 2.28], \"boxes_2d\": [[705.53, 185.69, 840.11, 270.76], [975.46, 161.12, 1241.0, 374.0], [0.0, 188.03, 41.86, 230.24]], \"boxes_3d\": [[1.38, 1.51, 4.1, 2.97, 1.66, 14.18], [1.6, 1.66, 3.55, 3.76, 1.54, 4.01], [1.32, 1.51, 3.55, -20.08, 1.82, 22.71]], \"ry\": [-1.62, -1.59, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 852,
        "data_source": "Mono3DRefer",
        "scene_name": "003724",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.64], \"boxes_2d\": [[518.09, 176.84, 552.09, 207.12]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.44, 1.96, 43.02]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 853,
        "data_source": "Mono3DRefer",
        "scene_name": "003727",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[517.03, 180.88, 582.84, 223.44]], \"boxes_3d\": [[1.44, 1.68, 4.39, -2.18, 1.75, 26.88]], \"ry\": [1.67]}\n```"
            }
        ]
    },
    {
        "id": 854,
        "data_source": "Mono3DRefer",
        "scene_name": "003733",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.69], \"boxes_2d\": [[468.63, 187.03, 543.37, 242.67]], \"boxes_3d\": [[1.42, 1.66, 4.11, -2.99, 1.87, 21.21]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 855,
        "data_source": "Mono3DRefer",
        "scene_name": "003738",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.82], \"boxes_2d\": [[280.63, 193.0, 490.63, 331.16]], \"boxes_3d\": [[1.46, 1.75, 4.23, -2.93, 1.79, 10.25]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 856,
        "data_source": "Mono3DRefer",
        "scene_name": "003745",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.01, 1.64, 1.71, -1.56, 2.1, -1.08], \"boxes_2d\": [[266.8, 176.69, 324.76, 203.4], [535.29, 178.15, 565.5, 200.8], [462.46, 171.45, 529.9, 227.13], [587.75, 174.28, 625.58, 211.96], [0.0, 194.12, 355.49, 374.0], [218.56, 178.12, 277.81, 207.84]], \"boxes_3d\": [[1.57, 1.2, 5.24, -19.7, 1.83, 45.4], [1.41, 1.69, 4.36, -3.92, 1.78, 47.66], [1.72, 1.66, 4.32, -3.83, 1.71, 24.71], [1.62, 1.63, 4.5, -0.16, 1.72, 33.63], [1.46, 1.59, 4.12, -3.88, 1.7, 6.5], [1.57, 1.57, 3.32, -20.15, 1.88, 40.24]], \"ry\": [1.61, 1.56, 1.56, -1.56, 1.58, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 857,
        "data_source": "Mono3DRefer",
        "scene_name": "003752",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[539.11, 180.22, 596.33, 217.1]], \"boxes_3d\": [[1.44, 1.68, 4.39, -1.75, 1.76, 30.61]], \"ry\": [1.69]}\n```"
            }
        ]
    },
    {
        "id": 858,
        "data_source": "Mono3DRefer",
        "scene_name": "003756",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [3.05, -0.79], \"boxes_2d\": [[986.66, 176.62, 1200.87, 246.26], [702.69, 198.98, 790.69, 232.42]], \"boxes_3d\": [[1.54, 1.68, 4.16, 11.53, 1.65, 17.63], [1.37, 1.56, 4.19, 6.44, 2.66, 33.97]], \"ry\": [-2.67, -0.61]}\n```"
            }
        ]
    },
    {
        "id": 859,
        "data_source": "Mono3DRefer",
        "scene_name": "003763",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.96], \"boxes_2d\": [[0.0, 183.43, 322.7, 366.13]], \"boxes_3d\": [[1.57, 1.67, 4.14, -4.76, 1.61, 8.46]], \"ry\": [1.46]}\n```"
            }
        ]
    },
    {
        "id": 860,
        "data_source": "Mono3DRefer",
        "scene_name": "003768",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.62], \"boxes_2d\": [[450.88, 187.63, 501.99, 235.01]], \"boxes_3d\": [[1.65, 1.75, 3.39, -5.09, 2.24, 27.64]], \"ry\": [1.44]}\n```"
            }
        ]
    },
    {
        "id": 861,
        "data_source": "Mono3DRefer",
        "scene_name": "003776",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.6], \"boxes_2d\": [[561.73, 174.24, 619.59, 230.15]], \"boxes_3d\": [[1.6, 1.66, 3.55, -0.7, 1.67, 22.66]], \"ry\": [-1.63]}\n```"
            }
        ]
    },
    {
        "id": 862,
        "data_source": "Mono3DRefer",
        "scene_name": "003789",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.72], \"boxes_2d\": [[451.48, 182.98, 514.64, 232.79]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.73, 2.1, 27.16]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 863,
        "data_source": "Mono3DRefer",
        "scene_name": "003794",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.93], \"boxes_2d\": [[292.24, 184.81, 366.45, 219.38]], \"boxes_3d\": [[1.55, 1.88, 4.59, -13.75, 2.16, 35.57]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 864,
        "data_source": "Mono3DRefer",
        "scene_name": "003803",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.59, 1.66, 1.63, -1.37, -1.92, -0.87], \"boxes_2d\": [[939.59, 134.64, 1241.0, 252.16], [565.01, 164.78, 611.12, 203.62], [618.2, 163.32, 640.86, 181.01], [491.38, 165.26, 583.26, 233.84], [0.0, 241.35, 52.27, 336.99], [1220.47, 136.02, 1241.0, 281.11]], \"boxes_3d\": [[1.47, 1.52, 4.43, 7.08, 1.0, 9.94], [1.6, 1.68, 3.94, -0.94, 1.29, 31.91], [1.42, 1.66, 4.11, 1.66, 0.68, 60.75], [1.77, 1.75, 4.67, -2.02, 1.6, 21.06], [1.72, 1.39, 3.07, -13.21, 3.23, 14.99], [1.48, 1.63, 3.98, 8.38, 1.08, 6.76]], \"ry\": [0.01, 1.63, 1.66, -1.47, -2.64, 0.0]}\n```"
            }
        ]
    },
    {
        "id": 865,
        "data_source": "Mono3DRefer",
        "scene_name": "003817",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.54, 1.43], \"boxes_2d\": [[533.37, 184.15, 566.85, 218.3], [502.87, 185.4, 530.63, 204.14]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.25, 2.3, 38.29], [1.47, 1.7, 4.39, -7.84, 2.53, 60.27]], \"ry\": [1.46, 1.3]}\n```"
            }
        ]
    },
    {
        "id": 866,
        "data_source": "Mono3DRefer",
        "scene_name": "003824",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.59, 1.97, 2.33, 2.09, -0.7], \"boxes_2d\": [[688.15, 172.02, 758.89, 237.73], [381.35, 172.3, 511.07, 258.35], [0.0, 188.76, 253.33, 298.64], [395.33, 184.21, 503.23, 229.81], [805.64, 165.8, 877.9, 193.9]], \"boxes_3d\": [[1.56, 1.65, 3.69, 2.9, 1.57, 19.05], [1.76, 1.58, 3.68, -3.68, 1.77, 16.69], [1.56, 1.62, 4.19, -8.53, 1.88, 12.84], [1.42, 1.67, 4.53, -5.57, 1.85, 25.48], [1.54, 1.63, 3.74, 13.2, 1.16, 41.18]], \"ry\": [-1.44, 1.76, 1.76, 1.88, -0.4]}\n```"
            }
        ]
    },
    {
        "id": 867,
        "data_source": "Mono3DRefer",
        "scene_name": "003825",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.62], \"boxes_2d\": [[421.12, 180.3, 489.39, 239.51]], \"boxes_3d\": [[1.41, 1.59, 4.47, -4.17, 1.63, 19.76]], \"ry\": [1.41]}\n```"
            }
        ]
    },
    {
        "id": 868,
        "data_source": "Mono3DRefer",
        "scene_name": "003832",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.08, -1.54, 1.78], \"boxes_2d\": [[177.41, 174.29, 249.34, 213.43], [584.98, 176.81, 624.06, 215.69], [423.87, 181.29, 513.45, 248.37]], \"boxes_3d\": [[1.92, 1.58, 3.93, -20.69, 2.03, 37.75], [1.62, 1.63, 4.5, -0.22, 1.82, 32.65], [1.55, 1.51, 3.75, -3.6, 1.78, 18.73]], \"ry\": [1.58, -1.55, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 869,
        "data_source": "Mono3DRefer",
        "scene_name": "003841",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.51], \"boxes_2d\": [[529.2, 175.86, 551.0, 195.24]], \"boxes_3d\": [[1.66, 1.73, 3.05, -6.2, 1.95, 64.12]], \"ry\": [-1.61]}\n```"
            }
        ]
    },
    {
        "id": 870,
        "data_source": "Mono3DRefer",
        "scene_name": "003847",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.13, 1.37, 1.72, -1.74, 1.65], \"boxes_2d\": [[0.0, 196.14, 339.3, 374.0], [682.32, 176.01, 795.56, 263.48], [455.81, 182.98, 533.77, 237.23], [655.08, 182.49, 727.37, 235.44], [519.74, 181.75, 554.68, 211.95]], \"boxes_3d\": [[1.45, 1.64, 4.21, -3.53, 1.67, 5.11], [1.62, 1.58, 3.89, 2.57, 1.7, 15.43], [1.45, 1.67, 4.43, -3.43, 1.78, 21.95], [1.47, 1.59, 3.62, 2.37, 1.78, 22.18], [1.46, 1.51, 3.24, -3.72, 1.93, 37.0]], \"ry\": [1.55, 1.53, 1.57, -1.63, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 871,
        "data_source": "Mono3DRefer",
        "scene_name": "003850",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.97, 2.02, 1.99], \"boxes_2d\": [[782.25, 183.44, 1098.27, 353.48], [192.89, 177.63, 254.34, 205.33], [230.73, 175.74, 283.81, 199.0]], \"boxes_3d\": [[1.38, 1.51, 4.1, 3.21, 1.52, 8.07], [1.41, 1.48, 3.63, -20.84, 1.69, 39.01], [1.32, 1.51, 3.55, -21.03, 1.51, 43.1]], \"ry\": [-1.61, 1.53, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 872,
        "data_source": "Mono3DRefer",
        "scene_name": "003852",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.08, -1.87, 1.64, -1.69, 1.63, 1.61, 1.49], \"boxes_2d\": [[846.52, 200.62, 1241.0, 374.0], [739.45, 184.32, 948.6, 322.03], [477.58, 176.15, 535.12, 229.59], [663.92, 179.86, 715.32, 218.63], [520.69, 179.58, 558.66, 207.83], [541.39, 172.47, 570.47, 199.01], [643.29, 175.87, 676.12, 201.92]], \"boxes_3d\": [[1.51, 1.56, 3.81, 3.06, 1.77, 5.17], [1.57, 1.68, 3.83, 3.05, 1.76, 10.37], [1.52, 1.5, 3.85, -3.21, 1.64, 22.65], [1.43, 1.59, 3.68, 3.07, 1.71, 28.69], [1.29, 1.59, 4.12, -3.44, 1.64, 35.56], [1.52, 1.61, 3.59, -3.25, 1.52, 43.49], [1.51, 1.65, 4.28, 2.99, 1.72, 44.4]], \"ry\": [-1.57, -1.59, 1.5, -1.58, 1.54, 1.53, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 873,
        "data_source": "Mono3DRefer",
        "scene_name": "003859",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.95, -1.1, -1.44, 0.33, 2.03], \"boxes_2d\": [[0.0, 195.15, 374.97, 373.0], [491.29, 168.65, 563.95, 201.26], [565.3, 165.93, 600.61, 191.41], [0.0, 179.46, 106.65, 231.41], [356.97, 163.05, 418.32, 193.73]], \"boxes_3d\": [[1.46, 1.69, 4.52, -2.73, 1.59, 3.54], [1.43, 1.66, 4.15, -3.39, 0.86, 33.72], [1.45, 1.65, 3.52, -1.05, 0.56, 42.98], [1.48, 1.56, 3.62, -17.26, 1.44, 21.57], [1.68, 1.67, 4.29, -12.37, 0.66, 41.87]], \"ry\": [-1.58, -1.2, -1.47, -0.35, 1.74]}\n```"
            }
        ]
    },
    {
        "id": 874,
        "data_source": "Mono3DRefer",
        "scene_name": "003864",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.65, 0.18, 0.33, 0.36, 0.31, -2.68, -2.65, -2.36], \"boxes_2d\": [[657.73, 179.18, 698.16, 209.45], [424.86, 178.94, 537.36, 215.04], [358.88, 178.89, 506.01, 229.36], [340.17, 181.55, 492.06, 236.66], [297.96, 180.74, 460.97, 245.56], [131.96, 182.92, 359.89, 274.33], [25.55, 190.91, 344.38, 299.35], [0.0, 197.32, 142.89, 374.0]], \"boxes_3d\": [[1.41, 1.65, 4.28, 3.32, 1.75, 36.26], [1.44, 1.8, 4.44, -5.43, 1.72, 30.61], [1.53, 1.8, 4.22, -5.67, 1.74, 23.17], [1.5, 1.46, 3.95, -5.56, 1.77, 20.75], [1.53, 1.64, 3.6, -5.81, 1.75, 18.32], [1.53, 1.51, 3.38, -6.55, 1.73, 13.11], [1.41, 1.63, 3.75, -6.16, 1.71, 10.68], [1.47, 1.53, 4.21, -6.51, 1.72, 5.92]], \"ry\": [-1.56, 0.0, 0.09, 0.1, 0.01, -3.13, 3.12, 3.11]}\n```"
            }
        ]
    },
    {
        "id": 875,
        "data_source": "Mono3DRefer",
        "scene_name": "003867",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.46, 1.59], \"boxes_2d\": [[445.97, 175.04, 485.25, 202.84], [450.32, 171.33, 499.41, 221.51]], \"boxes_3d\": [[1.47, 1.7, 4.39, -8.23, 1.62, 40.75], [1.68, 1.63, 3.9, -4.95, 1.66, 26.45]], \"ry\": [1.26, 1.4]}\n```"
            }
        ]
    },
    {
        "id": 876,
        "data_source": "Mono3DRefer",
        "scene_name": "003874",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-0.75], \"boxes_2d\": [[687.29, 207.45, 760.99, 235.63]], \"boxes_3d\": [[1.37, 1.56, 4.19, 6.5, 3.42, 41.06]], \"ry\": [-0.6]}\n```"
            }
        ]
    },
    {
        "id": 877,
        "data_source": "Mono3DRefer",
        "scene_name": "003880",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.14], \"boxes_2d\": [[0.0, 197.34, 400.19, 373.0]], \"boxes_3d\": [[1.57, 1.67, 4.14, -3.24, 1.76, 5.85]], \"ry\": [1.65]}\n```"
            }
        ]
    },
    {
        "id": 878,
        "data_source": "Mono3DRefer",
        "scene_name": "003888",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.69], \"boxes_2d\": [[485.34, 178.46, 531.98, 216.58]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.82, 1.98, 34.59]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 879,
        "data_source": "Mono3DRefer",
        "scene_name": "003893",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.74, 1.6], \"boxes_2d\": [[409.0, 198.93, 520.71, 281.38], [560.43, 174.92, 584.25, 199.3]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.02, 2.05, 15.59], [1.97, 1.87, 4.53, -3.17, 2.17, 61.2]], \"ry\": [1.55, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 880,
        "data_source": "Mono3DRefer",
        "scene_name": "003906",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.8], \"boxes_2d\": [[404.12, 182.33, 482.86, 229.78]], \"boxes_3d\": [[1.51, 1.81, 4.07, -5.82, 1.86, 25.51]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 881,
        "data_source": "Mono3DRefer",
        "scene_name": "003909",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.68, 1.5, 1.69, -2.05], \"boxes_2d\": [[528.17, 175.92, 592.53, 224.77], [710.65, 177.05, 751.36, 214.15], [592.48, 176.85, 631.1, 204.25], [907.55, 186.89, 1241.0, 374.0]], \"boxes_3d\": [[1.45, 1.64, 4.21, -1.58, 1.57, 23.75], [1.62, 1.58, 3.89, 5.55, 1.83, 33.61], [1.45, 1.67, 4.43, 0.13, 1.69, 40.78], [1.66, 1.56, 3.42, 2.93, 1.76, 4.01]], \"ry\": [1.62, 1.67, 1.69, -1.45]}\n```"
            }
        ]
    },
    {
        "id": 882,
        "data_source": "Mono3DRefer",
        "scene_name": "003913",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.54], \"boxes_2d\": [[541.15, 186.73, 570.18, 216.14]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.41, 2.56, 44.5]], \"ry\": [1.46]}\n```"
            }
        ]
    },
    {
        "id": 883,
        "data_source": "Mono3DRefer",
        "scene_name": "003932",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.31, 1.37, 1.73, -1.75, 1.65], \"boxes_2d\": [[0.0, 201.34, 275.74, 374.0], [698.46, 176.37, 829.63, 277.07], [447.76, 184.03, 534.29, 243.79], [665.85, 182.0, 745.55, 239.85], [522.03, 181.35, 558.42, 213.11]], \"boxes_3d\": [[1.45, 1.64, 4.21, -3.46, 1.66, 3.49], [1.62, 1.58, 3.89, 2.7, 1.7, 13.65], [1.45, 1.67, 4.43, -3.24, 1.78, 20.21], [1.47, 1.59, 3.62, 2.57, 1.74, 20.43], [1.46, 1.51, 3.24, -3.4, 1.88, 35.22]], \"ry\": [1.57, 1.56, 1.57, -1.62, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 884,
        "data_source": "Mono3DRefer",
        "scene_name": "003933",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.72, -0.96, 2.54, 2.14, -1.15, -1.32], \"boxes_2d\": [[210.03, 186.43, 366.17, 242.54], [449.48, 177.62, 537.04, 217.79], [37.4, 185.09, 206.48, 240.89], [398.01, 172.87, 474.28, 209.17], [578.23, 174.38, 631.24, 202.7], [704.49, 171.7, 729.91, 188.58]], \"boxes_3d\": [[1.35, 1.6, 3.86, -8.85, 1.76, 20.08], [1.49, 1.53, 3.8, -4.63, 1.69, 28.9], [1.49, 1.34, 4.25, -14.78, 1.89, 22.07], [1.72, 1.53, 4.55, -8.76, 1.75, 36.65], [1.49, 1.56, 3.65, -0.27, 1.59, 39.99], [1.44, 1.46, 3.16, 9.48, 1.36, 63.76]], \"ry\": [-1.14, -1.11, 1.96, 1.91, -1.15, -1.17]}\n```"
            }
        ]
    },
    {
        "id": 885,
        "data_source": "Mono3DRefer",
        "scene_name": "003952",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, 2.1, 1.92, 2.01], \"boxes_2d\": [[575.49, 177.67, 619.2, 219.81], [149.22, 178.77, 221.49, 206.19], [259.93, 178.66, 307.91, 199.99], [214.09, 178.65, 269.98, 203.37]], \"boxes_3d\": [[1.6, 1.66, 3.55, -0.53, 1.81, 29.43], [1.43, 1.73, 3.87, -23.47, 1.77, 39.99], [1.5, 1.79, 4.5, -24.2, 1.95, 53.66], [1.5, 1.62, 4.05, -23.58, 1.89, 46.33]], \"ry\": [-1.57, 1.57, 1.5, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 886,
        "data_source": "Mono3DRefer",
        "scene_name": "003953",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.91], \"boxes_2d\": [[380.05, 177.67, 470.78, 212.3]], \"boxes_3d\": [[1.49, 1.64, 3.7, -8.36, 1.73, 32.74]], \"ry\": [3.13]}\n```"
            }
        ]
    },
    {
        "id": 887,
        "data_source": "Mono3DRefer",
        "scene_name": "003961",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.86, -1.41, 1.78], \"boxes_2d\": [[292.09, 170.14, 477.41, 288.37], [654.38, 170.09, 695.34, 204.08], [619.09, 168.42, 653.68, 188.87]], \"boxes_3d\": [[1.7, 1.82, 4.45, -3.72, 1.69, 12.68], [1.57, 1.56, 2.62, 3.14, 1.46, 34.9], [1.43, 1.68, 4.19, 1.96, 1.14, 52.97]], \"ry\": [1.58, -1.32, 1.82]}\n```"
            }
        ]
    },
    {
        "id": 888,
        "data_source": "Mono3DRefer",
        "scene_name": "003965",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.64], \"boxes_2d\": [[615.97, 165.51, 686.94, 230.15]], \"boxes_3d\": [[1.46, 1.53, 3.17, 0.92, 1.32, 18.06]], \"ry\": [-1.59]}\n```"
            }
        ]
    },
    {
        "id": 889,
        "data_source": "Mono3DRefer",
        "scene_name": "003966",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.77], \"boxes_2d\": [[426.51, 180.93, 493.87, 222.76]], \"boxes_3d\": [[1.51, 1.81, 4.07, -5.87, 1.85, 28.53]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 890,
        "data_source": "Mono3DRefer",
        "scene_name": "003990",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.59, -1.43, -1.56, -0.93], \"boxes_2d\": [[586.97, 177.48, 673.77, 254.18], [481.17, 170.47, 564.97, 235.87], [610.21, 170.56, 665.68, 222.45], [1085.36, 135.69, 1241.0, 201.47]], \"boxes_3d\": [[1.37, 1.56, 3.54, 0.32, 1.48, 14.83], [1.61, 1.69, 4.26, -2.34, 1.58, 20.07], [1.53, 1.63, 4.5, 0.9, 1.49, 23.73], [1.55, 1.61, 3.64, 14.15, 0.67, 18.23]], \"ry\": [-1.57, -1.54, -1.52, -0.27]}\n```"
            }
        ]
    },
    {
        "id": 891,
        "data_source": "Mono3DRefer",
        "scene_name": "004005",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.62, 1.68], \"boxes_2d\": [[546.66, 176.89, 566.39, 193.94], [513.76, 176.53, 549.87, 207.66]], \"boxes_3d\": [[1.45, 1.53, 3.98, -4.75, 1.83, 64.21], [1.65, 1.56, 3.98, -4.37, 1.87, 40.52]], \"ry\": [1.55, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 892,
        "data_source": "Mono3DRefer",
        "scene_name": "004038",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.78, 2.17, 1.81, 1.75, -1.62], \"boxes_2d\": [[937.2, 111.11, 1241.0, 374.0], [0.0, 214.26, 290.9, 374.0], [323.57, 200.48, 459.44, 287.48], [412.23, 181.12, 500.77, 249.07], [606.21, 177.5, 641.44, 209.28]], \"boxes_3d\": [[1.79, 1.72, 4.35, 3.67, 1.5, 3.84], [1.45, 1.49, 4.07, -3.93, 1.85, 5.14], [1.27, 1.54, 3.58, -3.91, 1.84, 13.3], [1.63, 1.65, 3.91, -4.08, 1.87, 19.53], [1.46, 1.53, 3.17, 0.6, 1.7, 35.11]], \"ry\": [1.51, 1.54, 1.53, 1.54, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 893,
        "data_source": "Mono3DRefer",
        "scene_name": "004046",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.03, 1.88, 1.95, -1.55], \"boxes_2d\": [[220.94, 177.53, 276.67, 200.53], [300.08, 177.07, 339.39, 195.75], [267.31, 178.08, 311.77, 199.28], [571.07, 178.28, 618.25, 223.78]], \"boxes_3d\": [[1.43, 1.73, 3.87, -23.63, 1.75, 47.3], [1.5, 1.79, 4.5, -24.48, 1.88, 60.96], [1.5, 1.62, 4.05, -23.8, 1.9, 53.67], [1.6, 1.66, 3.55, -0.59, 1.82, 27.4]], \"ry\": [1.56, 1.5, 1.54, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 894,
        "data_source": "Mono3DRefer",
        "scene_name": "004050",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.93], \"boxes_2d\": [[406.33, 177.94, 486.72, 208.89]], \"boxes_3d\": [[1.49, 1.64, 3.7, -8.26, 1.77, 36.53]], \"ry\": [3.13]}\n```"
            }
        ]
    },
    {
        "id": 895,
        "data_source": "Mono3DRefer",
        "scene_name": "004135",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.13, 2.01, -1.72, 1.78, -1.58, -1.48], \"boxes_2d\": [[182.71, 193.4, 367.25, 287.68], [320.0, 176.11, 445.98, 258.25], [713.24, 180.33, 786.08, 235.57], [659.18, 181.59, 689.9, 201.74], [719.93, 167.51, 763.52, 225.66], [686.51, 181.6, 717.1, 206.96]], \"boxes_3d\": [[1.56, 1.59, 3.69, -6.52, 2.01, 14.4], [1.93, 1.59, 4.01, -5.88, 2.04, 19.08], [1.58, 1.67, 3.84, 4.28, 1.83, 22.8], [1.53, 1.67, 3.78, 5.15, 2.24, 57.42], [2.05, 1.5, 3.83, 4.96, 1.89, 27.5], [1.54, 1.63, 3.67, 5.92, 2.12, 46.42]], \"ry\": [1.71, 1.71, -1.53, 1.87, -1.4, -1.36]}\n```"
            }
        ]
    },
    {
        "id": 896,
        "data_source": "Mono3DRefer",
        "scene_name": "004151",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.63], \"boxes_2d\": [[552.87, 181.15, 576.9, 200.28]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.76, 2.23, 60.38]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 897,
        "data_source": "Mono3DRefer",
        "scene_name": "004158",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.08, 1.78, -1.73, -1.63, -1.44, 1.54, -2.77], \"boxes_2d\": [[0.0, 190.3, 388.88, 374.0], [481.73, 169.08, 553.51, 223.29], [693.3, 173.49, 811.02, 275.24], [676.39, 182.07, 752.58, 245.55], [521.85, 176.92, 569.67, 210.1], [632.14, 173.35, 657.55, 196.01], [228.43, 168.31, 425.2, 234.71]], \"boxes_3d\": [[1.47, 1.6, 3.66, -2.96, 1.62, 5.1], [1.7, 1.63, 4.08, -3.12, 1.61, 24.87], [1.59, 1.59, 2.47, 2.34, 1.62, 12.6], [1.37, 1.59, 3.22, 2.39, 1.61, 17.43], [1.4, 1.67, 3.72, -2.88, 1.6, 32.69], [1.49, 1.61, 3.74, 2.35, 1.55, 49.71], [1.59, 1.63, 4.43, -7.24, 1.51, 18.61]], \"ry\": [-1.58, 1.65, -1.55, -1.5, -1.53, 1.59, -3.14]}\n```"
            }
        ]
    },
    {
        "id": 898,
        "data_source": "Mono3DRefer",
        "scene_name": "004159",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.52, 2.03], \"boxes_2d\": [[370.48, 194.0, 409.03, 228.63], [0.0, 204.64, 392.1, 374.0]], \"boxes_3d\": [[1.65, 1.75, 3.39, -11.61, 2.79, 37.81], [1.47, 1.7, 4.39, -2.9, 1.76, 4.8]], \"ry\": [1.22, 1.51]}\n```"
            }
        ]
    },
    {
        "id": 899,
        "data_source": "Mono3DRefer",
        "scene_name": "004174",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.73, -1.72, -1.71], \"boxes_2d\": [[433.8, 178.02, 541.95, 258.83], [671.22, 176.1, 738.45, 229.72], [658.16, 174.6, 711.45, 216.13]], \"boxes_3d\": [[1.55, 1.68, 4.42, -2.62, 1.68, 16.2], [1.6, 1.53, 4.18, 3.0, 1.72, 23.8], [1.56, 1.57, 3.98, 2.95, 1.66, 29.47]], \"ry\": [1.57, -1.6, -1.62]}\n```"
            }
        ]
    },
    {
        "id": 900,
        "data_source": "Mono3DRefer",
        "scene_name": "004176",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.67, 1.88], \"boxes_2d\": [[513.56, 182.58, 552.82, 214.39], [293.91, 183.15, 463.17, 299.47]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.77, 1.95, 35.61], [1.65, 1.56, 3.98, -3.79, 1.84, 12.38]], \"ry\": [1.56, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 901,
        "data_source": "Mono3DRefer",
        "scene_name": "004184",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.96, -2.85, -2.9, -1.78, -2.94], \"boxes_2d\": [[434.24, 164.98, 530.09, 200.84], [339.49, 165.49, 476.14, 229.98], [376.78, 170.11, 498.54, 218.25], [784.83, 150.27, 840.89, 189.51], [412.89, 172.94, 514.1, 208.41]], \"boxes_3d\": [[1.74, 1.75, 4.57, -6.51, 1.38, 36.87], [1.86, 1.69, 3.69, -6.16, 1.68, 22.11], [1.68, 1.69, 4.07, -6.33, 1.61, 26.63], [2.04, 1.99, 4.82, 11.2, 0.89, 40.26], [1.48, 1.56, 4.12, -6.42, 1.51, 31.71]], \"ry\": [-3.13, -3.12, -3.13, -1.52, -3.14]}\n```"
            }
        ]
    },
    {
        "id": 902,
        "data_source": "Mono3DRefer",
        "scene_name": "004201",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.85], \"boxes_2d\": [[294.97, 192.86, 476.61, 305.16]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.49, 1.82, 11.92]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 903,
        "data_source": "Mono3DRefer",
        "scene_name": "004203",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.63, 1.71], \"boxes_2d\": [[427.52, 188.08, 512.98, 269.27], [471.21, 190.36, 534.34, 243.35]], \"boxes_3d\": [[1.65, 1.75, 3.39, -3.21, 2.03, 16.9], [1.57, 1.54, 4.01, -3.57, 2.2, 24.35]], \"ry\": [1.44, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 904,
        "data_source": "Mono3DRefer",
        "scene_name": "004208",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.25, 1.53], \"boxes_2d\": [[0.0, 201.94, 275.46, 374.0], [521.11, 180.48, 547.5, 206.01]], \"boxes_3d\": [[1.7, 1.43, 3.2, -3.22, 1.9, 3.71], [1.68, 1.63, 3.9, -5.31, 2.22, 50.08]], \"ry\": [1.57, 1.42]}\n```"
            }
        ]
    },
    {
        "id": 905,
        "data_source": "Mono3DRefer",
        "scene_name": "004225",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.0, 1.58], \"boxes_2d\": [[0.0, 194.05, 442.7, 374.0], [580.36, 184.76, 678.78, 275.78]], \"boxes_3d\": [[1.47, 1.59, 3.96, -2.71, 1.69, 5.93], [1.57, 1.73, 4.15, 0.36, 1.84, 14.85]], \"ry\": [1.59, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 906,
        "data_source": "Mono3DRefer",
        "scene_name": "004230",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.92], \"boxes_2d\": [[218.41, 195.66, 455.59, 345.71]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.3, 1.8, 9.45]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 907,
        "data_source": "Mono3DRefer",
        "scene_name": "004231",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-0.34], \"boxes_2d\": [[530.42, 186.1, 927.71, 329.15]], \"boxes_3d\": [[1.45, 1.68, 4.53, 1.32, 1.65, 8.92]], \"ry\": [-0.2]}\n```"
            }
        ]
    },
    {
        "id": 908,
        "data_source": "Mono3DRefer",
        "scene_name": "004238",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.88, -1.95, -1.78, -1.42, 1.72, -1.78, -1.69, 1.69, 1.65, 1.67], \"boxes_2d\": [[257.77, 182.97, 493.02, 353.5], [759.16, 187.96, 1072.01, 374.0], [681.51, 189.86, 823.88, 299.0], [409.61, 182.68, 515.55, 273.73], [453.43, 185.87, 534.46, 246.61], [660.65, 182.87, 745.62, 248.16], [638.58, 182.83, 700.65, 232.15], [519.14, 181.66, 560.96, 216.57], [539.84, 172.8, 576.4, 209.33], [556.33, 176.23, 589.86, 206.51]], \"boxes_3d\": [[1.63, 1.6, 3.73, -2.63, 1.77, 8.86], [1.59, 1.49, 3.34, 2.56, 1.76, 6.98], [1.54, 1.6, 3.52, 2.23, 1.86, 12.36], [1.54, 1.5, 3.48, -2.81, 1.75, 14.17], [1.44, 1.63, 3.32, -3.06, 1.81, 19.32], [1.55, 1.55, 3.27, 2.33, 1.83, 19.08], [1.48, 1.6, 3.79, 1.87, 1.83, 24.03], [1.56, 1.55, 3.64, -3.32, 1.99, 34.46], [1.91, 1.66, 4.22, -2.86, 1.93, 40.09], [1.83, 1.69, 4.28, -2.33, 2.06, 46.03]], \"ry\": [1.59, -1.61, -1.61, -1.61, 1.57, -1.66, -1.61, 1.59, 1.58, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 909,
        "data_source": "Mono3DRefer",
        "scene_name": "004266",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.63, 1.65], \"boxes_2d\": [[519.87, 183.06, 560.72, 223.19], [554.26, 186.14, 575.67, 206.99]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.67, 2.53, 38.37], [1.7, 1.53, 3.82, -3.88, 2.88, 62.46]], \"ry\": [1.54, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 910,
        "data_source": "Mono3DRefer",
        "scene_name": "004294",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.38, 1.7, 1.47, -1.62, 1.96, -1.93, 1.82], \"boxes_2d\": [[701.83, 189.81, 845.31, 288.01], [478.56, 176.52, 540.77, 227.24], [671.08, 181.83, 725.28, 221.68], [651.89, 176.39, 678.87, 200.49], [128.39, 187.11, 470.85, 374.0], [762.51, 194.43, 1050.65, 374.0], [365.78, 175.93, 502.65, 269.03]], \"boxes_3d\": [[1.44, 1.64, 4.5, 2.77, 1.8, 13.4], [1.46, 1.51, 3.24, -3.11, 1.59, 22.6], [1.38, 1.59, 4.19, 3.24, 1.73, 27.47], [1.51, 1.56, 3.81, 3.59, 1.76, 47.53], [1.45, 1.67, 4.43, -2.92, 1.64, 7.85], [1.47, 1.59, 3.62, 2.86, 1.75, 7.93], [1.56, 1.68, 3.69, -3.29, 1.64, 14.04]], \"ry\": [1.57, 1.56, 1.59, -1.55, 1.61, -1.6, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 911,
        "data_source": "Mono3DRefer",
        "scene_name": "004311",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.92, -2.41, -1.5, -1.78, -1.66, -1.45, -1.64], \"boxes_2d\": [[774.65, 165.16, 1178.03, 374.0], [0.0, 179.65, 192.11, 288.12], [494.14, 166.38, 566.79, 229.9], [685.74, 167.42, 783.09, 235.94], [676.2, 167.34, 740.21, 214.63], [552.73, 168.59, 594.09, 201.55], [662.14, 159.9, 704.46, 199.4]], \"boxes_3d\": [[1.49, 1.64, 4.17, 2.7, 1.47, 6.57], [1.47, 1.58, 3.55, -8.44, 1.59, 10.66], [1.6, 1.75, 3.89, -2.18, 1.46, 20.32], [1.59, 1.64, 4.03, 3.1, 1.49, 18.96], [1.5, 1.8, 4.5, 3.32, 1.36, 25.4], [1.46, 1.56, 3.21, -1.71, 1.3, 33.96], [1.83, 1.75, 4.52, 3.55, 1.25, 35.92]], \"ry\": [-1.54, -3.07, -1.61, -1.63, -1.53, -1.5, -1.54]}\n```"
            }
        ]
    },
    {
        "id": 912,
        "data_source": "Mono3DRefer",
        "scene_name": "004316",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.6], \"boxes_2d\": [[538.5, 179.12, 585.35, 220.93]], \"boxes_3d\": [[1.41, 1.59, 4.47, -1.77, 1.66, 26.96]], \"ry\": [1.53]}\n```"
            }
        ]
    },
    {
        "id": 913,
        "data_source": "Mono3DRefer",
        "scene_name": "004325",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.51, -2.85], \"boxes_2d\": [[0.0, 213.49, 187.08, 365.75], [279.58, 190.55, 430.22, 246.29]], \"boxes_3d\": [[1.42, 1.62, 3.5, -6.93, 1.93, 7.92], [1.41, 1.54, 3.6, -6.97, 1.92, 19.83]], \"ry\": [3.07, 3.1]}\n```"
            }
        ]
    },
    {
        "id": 914,
        "data_source": "Mono3DRefer",
        "scene_name": "004342",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.7, -1.79], \"boxes_2d\": [[550.33, 176.78, 596.93, 211.85], [504.57, 182.06, 538.4, 203.37]], \"boxes_3d\": [[1.6, 1.76, 3.84, -1.75, 1.21, 35.15], [1.39, 1.56, 3.45, -5.95, 1.18, 49.18]], \"ry\": [-1.75, -1.91]}\n```"
            }
        ]
    },
    {
        "id": 915,
        "data_source": "Mono3DRefer",
        "scene_name": "004345",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[559.18, 183.63, 603.73, 214.44]], \"boxes_3d\": [[1.5, 1.7, 3.77, -1.47, 2.09, 37.89]], \"ry\": [1.71]}\n```"
            }
        ]
    },
    {
        "id": 916,
        "data_source": "Mono3DRefer",
        "scene_name": "004349",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-0.06], \"boxes_2d\": [[351.66, 187.77, 640.83, 316.96]], \"boxes_3d\": [[1.46, 1.53, 3.5, -1.42, 1.58, 9.56]], \"ry\": [-0.21]}\n```"
            }
        ]
    },
    {
        "id": 917,
        "data_source": "Mono3DRefer",
        "scene_name": "004352",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.62, 1.05, 1.85, -1.84, 1.78, 1.42, 1.67, 1.48], \"boxes_2d\": [[652.73, 177.07, 677.69, 199.43], [849.37, 184.13, 1241.0, 374.0], [315.35, 185.05, 507.83, 302.63], [723.58, 189.5, 891.99, 303.36], [424.02, 178.64, 526.0, 251.01], [686.97, 185.58, 790.42, 258.81], [503.47, 178.49, 554.5, 221.87], [668.88, 181.52, 715.45, 216.33]], \"boxes_3d\": [[1.51, 1.56, 3.81, 3.85, 1.82, 51.07], [1.62, 1.58, 3.89, 2.93, 1.71, 4.68], [1.45, 1.67, 4.43, -2.89, 1.67, 11.37], [1.47, 1.59, 3.62, 2.91, 1.76, 11.52], [1.56, 1.68, 3.69, -3.19, 1.71, 17.53], [1.44, 1.64, 4.5, 2.82, 1.77, 16.95], [1.46, 1.51, 3.24, -2.92, 1.68, 26.16], [1.38, 1.59, 4.19, 3.44, 1.76, 31.11]], \"ry\": [-1.54, 1.58, 1.61, -1.6, 1.6, 1.58, 1.56, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 918,
        "data_source": "Mono3DRefer",
        "scene_name": "004354",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.63], \"boxes_2d\": [[555.36, 178.31, 578.49, 195.76]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.73, 1.94, 62.78]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 919,
        "data_source": "Mono3DRefer",
        "scene_name": "004355",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.59, -1.44, -1.58, -0.94, -0.84], \"boxes_2d\": [[616.8, 177.5, 685.37, 237.87], [529.82, 167.55, 597.42, 221.13], [635.85, 167.11, 683.29, 211.42], [1129.02, 135.24, 1241.0, 198.09], [1044.14, 137.89, 1194.51, 193.27]], \"boxes_3d\": [[1.37, 1.56, 3.54, 0.96, 1.51, 18.33], [1.61, 1.69, 4.26, -1.48, 1.48, 24.01], [1.53, 1.63, 4.5, 1.82, 1.36, 27.42], [1.48, 1.6, 3.84, 15.33, 0.59, 18.17], [1.55, 1.61, 3.64, 15.01, 0.57, 21.36]], \"ry\": [-1.54, -1.5, -1.51, -0.24, -0.23]}\n```"
            }
        ]
    },
    {
        "id": 920,
        "data_source": "Mono3DRefer",
        "scene_name": "004356",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.7, 1.73], \"boxes_2d\": [[348.02, 181.41, 494.37, 306.97], [446.87, 183.44, 532.45, 252.16]], \"boxes_3d\": [[1.65, 1.75, 3.39, -2.84, 1.79, 11.36], [1.57, 1.54, 4.01, -3.06, 1.86, 18.82]], \"ry\": [1.46, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 921,
        "data_source": "Mono3DRefer",
        "scene_name": "004357",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.63], \"boxes_2d\": [[522.72, 176.2, 554.99, 205.42]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.37, 1.93, 44.5]], \"ry\": [1.53]}\n```"
            }
        ]
    },
    {
        "id": 922,
        "data_source": "Mono3DRefer",
        "scene_name": "004371",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.37, -1.89, 1.75, -1.79, -1.79, -1.74], \"boxes_2d\": [[714.3, 184.63, 851.33, 284.68], [616.22, 184.59, 732.26, 254.93], [275.62, 184.17, 374.83, 250.27], [568.08, 178.75, 641.39, 231.16], [541.75, 180.94, 606.06, 222.38], [523.6, 183.33, 567.71, 214.35]], \"boxes_3d\": [[1.51, 1.69, 4.04, 3.29, 1.75, 13.34], [1.46, 1.58, 3.93, 1.37, 1.76, 17.4], [1.5, 1.68, 4.03, -7.34, 1.81, 18.85], [1.6, 1.7, 3.56, -0.29, 1.81, 24.12], [1.52, 1.73, 3.89, -1.56, 1.86, 28.95], [1.37, 1.51, 3.49, -3.12, 1.87, 34.15]], \"ry\": [-1.14, -1.81, 1.38, -1.8, -1.85, -1.83]}\n```"
            }
        ]
    },
    {
        "id": 923,
        "data_source": "Mono3DRefer",
        "scene_name": "004373",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.83, -1.52], \"boxes_2d\": [[369.31, 181.38, 506.72, 269.29], [525.9, 171.16, 553.8, 197.67]], \"boxes_3d\": [[1.5, 1.7, 3.77, -3.3, 1.69, 14.39], [1.57, 1.55, 3.32, -4.35, 1.49, 44.83]], \"ry\": [1.61, -1.62]}\n```"
            }
        ]
    },
    {
        "id": 924,
        "data_source": "Mono3DRefer",
        "scene_name": "004382",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, 1.82, 1.69], \"boxes_2d\": [[567.13, 183.02, 618.01, 232.61], [376.72, 195.85, 445.51, 240.22], [504.41, 188.57, 546.99, 220.58]], \"boxes_3d\": [[1.61, 1.66, 3.2, -0.63, 1.98, 25.44], [1.4, 1.51, 3.7, -7.16, 2.28, 26.15], [1.46, 1.66, 4.05, -4.22, 2.29, 36.38]], \"ry\": [-1.58, 1.56, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 925,
        "data_source": "Mono3DRefer",
        "scene_name": "004394",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.68], \"boxes_2d\": [[514.13, 182.3, 559.61, 214.37]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.55, 1.93, 35.34]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 926,
        "data_source": "Mono3DRefer",
        "scene_name": "004395",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.72, 1.6], \"boxes_2d\": [[433.99, 201.16, 529.68, 274.15], [563.6, 178.05, 586.59, 201.68]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.01, 2.17, 17.46], [1.97, 1.87, 4.53, -3.03, 2.44, 63.07]], \"ry\": [1.55, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 927,
        "data_source": "Mono3DRefer",
        "scene_name": "004399",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.61], \"boxes_2d\": [[453.62, 189.21, 509.4, 242.1]], \"boxes_3d\": [[1.65, 1.75, 3.39, -4.43, 2.24, 25.05]], \"ry\": [1.44]}\n```"
            }
        ]
    },
    {
        "id": 928,
        "data_source": "Mono3DRefer",
        "scene_name": "004432",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-0.56, -0.52, 1.41], \"boxes_2d\": [[388.21, 187.93, 612.46, 284.43], [294.55, 170.84, 533.92, 271.11], [107.76, 189.87, 172.65, 226.0]], \"boxes_3d\": [[1.41, 1.62, 3.6, -1.9, 1.71, 12.77], [1.77, 1.96, 4.39, -3.98, 1.75, 14.99], [1.37, 1.6, 4.5, -19.87, 2.11, 30.37]], \"ry\": [-0.7, -0.78, 0.84]}\n```"
            }
        ]
    },
    {
        "id": 929,
        "data_source": "Mono3DRefer",
        "scene_name": "004443",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.82], \"boxes_2d\": [[270.92, 180.48, 437.5, 290.97]], \"boxes_3d\": [[1.57, 1.67, 4.14, -4.07, 1.56, 12.46]], \"ry\": [1.51]}\n```"
            }
        ]
    },
    {
        "id": 930,
        "data_source": "Mono3DRefer",
        "scene_name": "004446",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.69, 2.06], \"boxes_2d\": [[497.91, 183.9, 547.28, 222.52], [0.0, 186.33, 378.73, 374.0]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.58, 1.93, 29.82], [1.65, 1.56, 3.98, -3.73, 1.8, 6.96]], \"ry\": [1.58, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 931,
        "data_source": "Mono3DRefer",
        "scene_name": "004453",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[556.07, 179.69, 607.06, 212.24]], \"boxes_3d\": [[1.44, 1.68, 4.39, -1.31, 1.77, 34.34]], \"ry\": [1.71]}\n```"
            }
        ]
    },
    {
        "id": 932,
        "data_source": "Mono3DRefer",
        "scene_name": "004457",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.67, 1.71], \"boxes_2d\": [[536.91, 178.01, 566.42, 205.44], [458.48, 170.55, 537.73, 239.7]], \"boxes_3d\": [[1.7, 1.53, 3.82, -3.8, 2.06, 47.14], [1.97, 1.87, 4.53, -3.49, 1.94, 23.05]], \"ry\": [1.59, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 933,
        "data_source": "Mono3DRefer",
        "scene_name": "004464",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.66, 1.66], \"boxes_2d\": [[500.83, 174.96, 553.53, 224.44], [548.51, 180.06, 573.01, 203.23]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.54, 2.09, 31.31], [1.7, 1.53, 3.82, -3.77, 2.27, 55.45]], \"ry\": [1.54, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 934,
        "data_source": "Mono3DRefer",
        "scene_name": "004466",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.3, -1.58, 1.91, 1.85, -1.58], \"boxes_2d\": [[0.0, 203.55, 134.13, 356.05], [611.29, 178.89, 634.99, 201.43], [466.05, 182.8, 514.69, 211.97], [491.82, 174.86, 534.1, 206.91], [656.0, 175.32, 681.62, 199.52]], \"boxes_3d\": [[1.48, 1.61, 3.61, -7.04, 1.87, 7.56], [1.54, 1.63, 3.67, 0.91, 1.99, 51.82], [1.56, 1.59, 3.69, -6.78, 2.14, 41.07], [1.93, 1.59, 4.01, -6.13, 2.08, 45.81], [1.58, 1.67, 3.84, 3.99, 1.77, 49.58]], \"ry\": [1.57, -1.56, 1.74, 1.72, -1.51]}\n```"
            }
        ]
    },
    {
        "id": 935,
        "data_source": "Mono3DRefer",
        "scene_name": "004475",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.63, -1.57, -1.59], \"boxes_2d\": [[651.7, 168.28, 682.85, 194.29], [586.44, 180.86, 656.14, 243.0], [585.35, 176.49, 636.9, 220.53]], \"boxes_3d\": [[1.6, 1.76, 3.84, 3.8, 0.54, 46.6], [1.39, 1.56, 3.45, 0.29, 1.29, 17.97], [1.41, 1.66, 3.76, 0.04, 1.12, 25.18]], \"ry\": [-1.55, -1.56, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 936,
        "data_source": "Mono3DRefer",
        "scene_name": "004497",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.46], \"boxes_2d\": [[205.36, 190.23, 388.81, 242.34]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.83, 1.89, 20.45]], \"ry\": [0.06]}\n```"
            }
        ]
    },
    {
        "id": 937,
        "data_source": "Mono3DRefer",
        "scene_name": "004523",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.68], \"boxes_2d\": [[493.39, 178.96, 536.26, 214.38]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.86, 2.03, 37.07]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 938,
        "data_source": "Mono3DRefer",
        "scene_name": "004535",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.64], \"boxes_2d\": [[548.6, 181.36, 574.6, 202.02]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.74, 2.2, 56.11]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 939,
        "data_source": "Mono3DRefer",
        "scene_name": "004540",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.77, -1.74, -1.73, 1.42], \"boxes_2d\": [[365.28, 187.66, 520.17, 301.14], [677.26, 182.17, 760.22, 247.22], [660.23, 182.38, 722.89, 230.65], [666.59, 174.51, 694.56, 196.51]], \"boxes_3d\": [[1.55, 1.68, 4.42, -2.7, 1.84, 12.46], [1.6, 1.53, 4.18, 2.87, 1.87, 20.09], [1.56, 1.57, 3.98, 2.8, 1.92, 25.79], [1.79, 1.72, 4.35, 5.96, 1.96, 61.43]], \"ry\": [1.56, -1.6, -1.62, 1.52]}\n```"
            }
        ]
    },
    {
        "id": 940,
        "data_source": "Mono3DRefer",
        "scene_name": "004550",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.14], \"boxes_2d\": [[0.0, 201.81, 163.42, 271.82]], \"boxes_3d\": [[1.35, 1.5, 3.64, -12.39, 2.1, 17.03]], \"ry\": [1.52]}\n```"
            }
        ]
    },
    {
        "id": 941,
        "data_source": "Mono3DRefer",
        "scene_name": "004554",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.83, -2.88, -1.81, -2.93, -2.95], \"boxes_2d\": [[316.52, 174.35, 465.22, 244.07], [360.82, 179.81, 490.98, 231.06], [791.31, 160.92, 851.6, 201.86], [401.52, 182.85, 508.54, 220.41], [426.71, 176.34, 527.14, 213.87]], \"boxes_3d\": [[1.86, 1.69, 3.69, -6.18, 1.93, 20.49], [1.68, 1.69, 4.07, -6.36, 1.94, 25.06], [2.04, 1.99, 4.82, 11.21, 1.47, 38.67], [1.48, 1.56, 4.12, -6.44, 1.92, 30.1], [1.74, 1.75, 4.57, -6.48, 1.94, 35.27]], \"ry\": [-3.12, -3.13, -1.53, 3.14, -3.13]}\n```"
            }
        ]
    },
    {
        "id": 942,
        "data_source": "Mono3DRefer",
        "scene_name": "004559",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.53], \"boxes_2d\": [[691.43, 182.13, 834.56, 311.59]], \"boxes_3d\": [[1.57, 1.73, 4.15, 2.15, 1.73, 11.02]], \"ry\": [1.72]}\n```"
            }
        ]
    },
    {
        "id": 943,
        "data_source": "Mono3DRefer",
        "scene_name": "004566",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.57], \"boxes_2d\": [[593.37, 197.6, 623.38, 227.37]], \"boxes_3d\": [[1.5, 1.62, 4.19, -0.12, 2.98, 41.33]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 944,
        "data_source": "Mono3DRefer",
        "scene_name": "004587",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, -0.91, -1.38, -1.73], \"boxes_2d\": [[553.38, 185.59, 722.91, 345.88], [0.0, 181.49, 318.09, 374.0], [415.41, 179.57, 516.21, 244.37], [694.09, 177.37, 755.45, 218.02]], \"boxes_3d\": [[1.49, 1.6, 3.83, 0.22, 1.66, 8.8], [1.59, 1.65, 4.04, -3.31, 1.65, 3.98], [1.46, 1.73, 4.19, -3.61, 1.65, 18.57], [1.42, 1.66, 4.18, 4.28, 1.62, 27.69]], \"ry\": [-1.57, -1.57, -1.57, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 945,
        "data_source": "Mono3DRefer",
        "scene_name": "004592",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.63, -0.11, -1.3, 1.71], \"boxes_2d\": [[581.75, 178.79, 607.51, 198.98], [996.08, 123.5, 1241.0, 244.39], [364.46, 177.98, 527.12, 291.17], [506.41, 178.06, 572.52, 229.59]], \"boxes_3d\": [[1.42, 1.66, 4.11, -1.12, 1.87, 53.44], [1.66, 1.15, 3.39, 7.78, 1.0, 10.99], [1.77, 1.75, 4.67, -2.9, 1.88, 13.66], [1.6, 1.68, 3.94, -2.35, 1.79, 24.52]], \"ry\": [1.61, 0.5, -1.51, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 946,
        "data_source": "Mono3DRefer",
        "scene_name": "004613",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.66, 1.8], \"boxes_2d\": [[524.74, 180.94, 557.57, 207.87], [400.06, 180.98, 501.21, 256.34]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.94, 1.93, 41.46], [1.65, 1.56, 3.98, -3.86, 1.86, 17.93]], \"ry\": [1.56, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 947,
        "data_source": "Mono3DRefer",
        "scene_name": "004618",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.78], \"boxes_2d\": [[382.2, 177.57, 492.51, 252.79]], \"boxes_3d\": [[1.5, 1.62, 4.19, -3.87, 1.63, 16.68]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 948,
        "data_source": "Mono3DRefer",
        "scene_name": "004636",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.04, -2.02, 1.85, 1.35, 1.71, 1.46, 1.66, -1.62], \"boxes_2d\": [[0.0, 187.01, 441.49, 374.0], [796.11, 202.2, 1233.32, 374.0], [321.46, 175.38, 487.47, 285.08], [711.76, 193.16, 887.55, 311.17], [464.26, 174.97, 533.24, 230.42], [673.15, 180.64, 732.21, 223.35], [504.23, 177.47, 556.51, 215.92], [651.41, 175.54, 679.51, 200.62]], \"boxes_3d\": [[1.45, 1.67, 4.43, -2.92, 1.6, 6.12], [1.47, 1.59, 3.62, 2.84, 1.78, 6.11], [1.56, 1.68, 3.69, -3.31, 1.62, 12.19], [1.44, 1.64, 4.5, 2.75, 1.82, 11.66], [1.46, 1.51, 3.24, -3.17, 1.54, 20.81], [1.38, 1.59, 4.19, 3.17, 1.66, 25.65], [1.38, 1.69, 3.74, -3.06, 1.57, 28.04], [1.51, 1.56, 3.81, 3.46, 1.7, 45.76]], \"ry\": [1.61, -1.6, 1.59, 1.57, 1.56, 1.58, 1.55, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 949,
        "data_source": "Mono3DRefer",
        "scene_name": "004651",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.67, -2.68], \"boxes_2d\": [[646.59, 173.54, 787.36, 300.47], [248.19, 175.72, 393.66, 240.84]], \"boxes_3d\": [[1.46, 1.53, 3.17, 1.27, 1.49, 9.96], [1.59, 1.45, 3.15, -7.43, 1.68, 18.57]], \"ry\": [-1.55, -3.06]}\n```"
            }
        ]
    },
    {
        "id": 950,
        "data_source": "Mono3DRefer",
        "scene_name": "004654",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.49, 2.31, -1.81, 1.77, -1.71], \"boxes_2d\": [[693.15, 169.2, 722.86, 193.97], [0.0, 150.57, 223.75, 355.59], [744.85, 170.3, 906.16, 280.52], [587.74, 167.55, 638.9, 202.17], [738.23, 149.19, 828.63, 247.6]], \"boxes_3d\": [[1.54, 1.63, 3.67, 6.43, 1.34, 47.25], [1.93, 1.59, 4.01, -6.47, 1.75, 8.24], [1.58, 1.67, 3.84, 3.44, 1.57, 12.38], [1.53, 1.67, 3.78, 0.18, 1.32, 33.97], [2.05, 1.5, 3.83, 3.94, 1.59, 17.06]], \"ry\": [-1.36, 1.66, -1.55, 1.78, -1.48]}\n```"
            }
        ]
    },
    {
        "id": 951,
        "data_source": "Mono3DRefer",
        "scene_name": "004655",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.69], \"boxes_2d\": [[646.34, 171.76, 709.47, 217.89]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.17, 1.41, 24.48]], \"ry\": [-1.6]}\n```"
            }
        ]
    },
    {
        "id": 952,
        "data_source": "Mono3DRefer",
        "scene_name": "004656",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.91], \"boxes_2d\": [[158.48, 196.01, 445.7, 366.46]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.33, 1.78, 8.62]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 953,
        "data_source": "Mono3DRefer",
        "scene_name": "004717",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.69, -2.65], \"boxes_2d\": [[673.67, 181.72, 838.37, 325.21], [247.28, 182.87, 399.57, 251.47]], \"boxes_3d\": [[1.46, 1.53, 3.17, 1.59, 1.58, 9.01], [1.59, 1.45, 3.15, -7.01, 1.85, 17.69]], \"ry\": [-1.53, -3.02]}\n```"
            }
        ]
    },
    {
        "id": 954,
        "data_source": "Mono3DRefer",
        "scene_name": "004727",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.78, 1.75], \"boxes_2d\": [[255.36, 178.9, 479.5, 356.53], [428.19, 181.65, 531.67, 263.45]], \"boxes_3d\": [[1.65, 1.75, 3.39, -2.64, 1.73, 8.53], [1.57, 1.54, 4.01, -2.79, 1.78, 16.04]], \"ry\": [1.48, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 955,
        "data_source": "Mono3DRefer",
        "scene_name": "004741",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.6, 1.69], \"boxes_2d\": [[448.33, 196.11, 520.26, 266.37], [479.14, 195.63, 534.21, 243.69]], \"boxes_3d\": [[1.65, 1.75, 3.39, -3.4, 2.33, 19.66], [1.57, 1.54, 4.01, -3.84, 2.48, 27.09]], \"ry\": [1.43, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 956,
        "data_source": "Mono3DRefer",
        "scene_name": "004751",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.99, 2.45], \"boxes_2d\": [[10.44, 184.64, 339.19, 364.34], [970.41, 143.85, 1241.0, 320.97]], \"boxes_3d\": [[1.6, 1.66, 4.33, -4.85, 1.76, 8.8], [1.71, 1.67, 3.7, 6.2, 1.43, 7.93]], \"ry\": [1.5, 3.09]}\n```"
            }
        ]
    },
    {
        "id": 957,
        "data_source": "Mono3DRefer",
        "scene_name": "004803",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.15, 1.86, 1.71, 1.64, 1.89], \"boxes_2d\": [[0.0, 158.49, 360.61, 374.0], [314.86, 206.9, 477.51, 318.14], [495.4, 194.63, 548.11, 243.38], [534.94, 194.32, 567.46, 224.82], [561.99, 192.96, 596.92, 215.6]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.33, 1.95, 4.6], [1.47, 1.62, 3.79, -3.52, 2.14, 12.43], [1.7, 1.53, 3.82, -3.45, 2.61, 28.47], [1.5, 1.53, 3.38, -3.18, 2.71, 39.18], [1.56, 1.56, 3.6, -2.26, 3.1, 53.92]], \"ry\": [1.55, 1.59, 1.59, 1.55, 1.84]}\n```"
            }
        ]
    },
    {
        "id": 958,
        "data_source": "Mono3DRefer",
        "scene_name": "004805",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[512.54, 174.61, 553.89, 200.31]], \"boxes_3d\": [[1.42, 1.78, 3.62, -3.93, 1.04, 42.03]], \"ry\": [1.65]}\n```"
            }
        ]
    },
    {
        "id": 959,
        "data_source": "Mono3DRefer",
        "scene_name": "004809",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.01, -1.06, 2.35, -1.56, -1.23, 2.33, 1.84, 2.19], \"boxes_2d\": [[407.79, 182.47, 489.89, 218.71], [693.65, 169.64, 746.99, 195.62], [0.0, 189.5, 153.05, 260.81], [628.51, 174.33, 697.59, 239.23], [869.97, 172.32, 1143.38, 329.83], [0.0, 199.81, 221.51, 374.0], [508.06, 171.61, 564.95, 213.73], [157.26, 184.0, 323.72, 254.77]], \"boxes_3d\": [[1.42, 1.67, 4.53, -6.88, 1.86, 31.15], [1.54, 1.63, 3.74, 6.85, 1.36, 44.72], [1.45, 1.5, 4.53, -13.46, 1.89, 17.38], [1.56, 1.65, 3.69, 1.4, 1.62, 19.3], [1.39, 1.61, 3.65, 4.58, 1.4, 8.19], [1.45, 1.84, 4.59, -6.27, 1.79, 7.3], [1.76, 1.58, 3.68, -3.24, 1.73, 32.13], [1.56, 1.62, 4.19, -9.25, 1.87, 18.41]], \"ry\": [1.79, -0.91, 1.7, -1.49, -0.74, 1.64, 1.74, 1.73]}\n```"
            }
        ]
    },
    {
        "id": 960,
        "data_source": "Mono3DRefer",
        "scene_name": "004820",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.83, 1.79, 1.87], \"boxes_2d\": [[305.31, 196.47, 462.08, 312.77], [409.77, 189.0, 502.26, 257.82], [481.28, 180.2, 554.86, 228.11]], \"boxes_3d\": [[1.5, 1.53, 3.38, -3.5, 1.93, 11.6], [1.52, 1.54, 3.56, -3.83, 1.95, 18.27], [1.56, 1.56, 3.6, -3.2, 1.83, 25.48]], \"ry\": [1.54, 1.58, 1.75]}\n```"
            }
        ]
    },
    {
        "id": 961,
        "data_source": "Mono3DRefer",
        "scene_name": "004829",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.76], \"boxes_2d\": [[514.99, 181.35, 570.98, 219.34]], \"boxes_3d\": [[1.5, 1.7, 3.77, -2.83, 1.88, 30.86]], \"ry\": [1.67]}\n```"
            }
        ]
    },
    {
        "id": 962,
        "data_source": "Mono3DRefer",
        "scene_name": "004831",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.29, 1.83, -0.86, 2.01], \"boxes_2d\": [[967.27, 180.47, 1110.12, 262.31], [1149.95, 173.36, 1235.21, 219.39], [486.08, 168.36, 817.42, 374.0], [763.78, 173.41, 983.25, 307.38]], \"boxes_3d\": [[1.47, 1.6, 3.66, 8.95, 1.65, 15.02], [1.7, 1.63, 4.08, 23.19, 1.74, 28.71], [1.6, 1.57, 3.23, 0.51, 1.58, 7.24], [1.57, 1.5, 3.68, 3.83, 1.59, 10.29]], \"ry\": [-0.76, 2.51, -0.79, 2.36]}\n```"
            }
        ]
    },
    {
        "id": 963,
        "data_source": "Mono3DRefer",
        "scene_name": "004834",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.42, 1.72, -1.77, -1.69, 1.69, 1.65, 1.67, 1.84, -1.88, -1.76], \"boxes_2d\": [[429.8, 188.09, 524.87, 270.47], [465.92, 190.83, 539.97, 247.68], [656.67, 186.96, 734.48, 247.66], [637.17, 189.45, 695.55, 236.79], [523.53, 187.67, 563.3, 221.68], [541.15, 178.34, 576.23, 213.5], [558.35, 182.46, 590.72, 211.96], [317.91, 186.84, 505.98, 329.03], [736.03, 191.58, 968.07, 367.67], [673.78, 193.44, 796.18, 290.16]], \"boxes_3d\": [[1.54, 1.5, 3.48, -2.82, 1.9, 15.7], [1.44, 1.63, 3.32, -3.04, 2.0, 20.82], [1.55, 1.55, 3.27, 2.32, 1.97, 20.63], [1.48, 1.6, 3.79, 1.88, 2.1, 25.49], [1.56, 1.55, 3.64, -3.3, 2.32, 35.96], [1.91, 1.66, 4.22, -2.93, 2.24, 41.56], [1.83, 1.69, 4.28, -2.31, 2.47, 47.52], [1.63, 1.6, 3.73, -2.65, 1.85, 10.36], [1.59, 1.49, 3.34, 2.54, 1.85, 8.49], [1.54, 1.6, 3.52, 2.21, 1.97, 13.85]], \"ry\": [-1.6, 1.57, -1.66, -1.61, 1.6, 1.58, 1.62, 1.59, -1.61, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 964,
        "data_source": "Mono3DRefer",
        "scene_name": "004848",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.96, -1.51], \"boxes_2d\": [[160.81, 192.5, 440.68, 358.23], [502.66, 181.67, 535.49, 212.24]], \"boxes_3d\": [[1.5, 1.7, 3.77, -3.45, 1.78, 8.76], [1.57, 1.55, 3.32, -4.93, 2.06, 39.22]], \"ry\": [1.6, -1.63]}\n```"
            }
        ]
    },
    {
        "id": 965,
        "data_source": "Mono3DRefer",
        "scene_name": "004865",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.72, 1.67], \"boxes_2d\": [[446.05, 180.23, 533.3, 255.1], [533.22, 188.45, 564.01, 217.61]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.48, 2.2, 21.46], [1.7, 1.53, 3.82, -3.86, 2.72, 45.52]], \"ry\": [1.56, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 966,
        "data_source": "Mono3DRefer",
        "scene_name": "004875",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.97, -1.09, 2.23], \"boxes_2d\": [[161.42, 167.07, 383.51, 239.0], [967.05, 151.32, 1170.6, 253.18], [1188.1, 153.77, 1241.0, 202.7]], \"boxes_3d\": [[1.49, 1.67, 4.5, -7.87, 1.38, 16.93], [1.65, 1.67, 3.64, 8.46, 1.31, 13.32], [1.59, 1.55, 3.93, 22.11, 0.97, 24.62]], \"ry\": [2.54, -0.53, 2.95]}\n```"
            }
        ]
    },
    {
        "id": 967,
        "data_source": "Mono3DRefer",
        "scene_name": "004877",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.02, 2.57, -2.57, -2.84, -2.96], \"boxes_2d\": [[1203.93, 189.08, 1241.0, 374.0], [819.01, 144.17, 1241.0, 332.35], [0.0, 197.24, 267.59, 316.2], [198.58, 189.23, 376.55, 256.06], [363.25, 184.05, 462.11, 221.33]], \"boxes_3d\": [[1.49, 1.66, 4.16, 5.38, 1.55, 3.25], [1.85, 1.68, 4.34, 4.76, 1.58, 8.16], [1.43, 1.56, 3.85, -7.05, 1.81, 9.9], [1.42, 1.62, 3.5, -7.53, 1.84, 17.02], [1.41, 1.54, 3.6, -7.91, 1.88, 29.01]], \"ry\": [-0.03, 3.08, 3.1, 3.03, 3.06]}\n```"
            }
        ]
    },
    {
        "id": 968,
        "data_source": "Mono3DRefer",
        "scene_name": "004878",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.81, 1.6], \"boxes_2d\": [[304.39, 197.38, 488.18, 321.28], [553.51, 168.41, 579.51, 194.88]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.05, 1.85, 11.01], [1.97, 1.87, 4.53, -3.38, 1.67, 56.54]], \"ry\": [1.55, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 969,
        "data_source": "Mono3DRefer",
        "scene_name": "004899",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.22, 2.31], \"boxes_2d\": [[79.75, 182.19, 197.09, 229.98], [0.0, 173.03, 89.55, 241.84]], \"boxes_3d\": [[1.5, 1.47, 3.62, -16.14, 1.84, 24.84], [1.78, 1.6, 4.29, -16.56, 1.8, 19.54]], \"ry\": [1.65, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 970,
        "data_source": "Mono3DRefer",
        "scene_name": "004904",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.75], \"boxes_2d\": [[822.37, 152.47, 973.13, 266.61]], \"boxes_3d\": [[1.61, 1.56, 4.12, 4.65, 1.35, 12.34]], \"ry\": [-1.4]}\n```"
            }
        ]
    },
    {
        "id": 971,
        "data_source": "Mono3DRefer",
        "scene_name": "004908",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.91], \"boxes_2d\": [[294.81, 185.06, 435.2, 260.47]], \"boxes_3d\": [[1.51, 1.81, 4.07, -5.6, 1.82, 16.94]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 972,
        "data_source": "Mono3DRefer",
        "scene_name": "004920",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.65, 0.65, -2.6, -2.8, -3.0, -2.93, 0.16], \"boxes_2d\": [[843.51, 165.11, 1157.85, 279.86], [0.0, 120.76, 250.68, 330.14], [16.62, 184.83, 290.86, 286.71], [246.65, 178.72, 441.92, 241.52], [341.58, 167.9, 490.62, 228.11], [439.48, 174.32, 507.59, 205.24], [456.71, 174.35, 533.23, 205.26]], \"boxes_3d\": [[1.76, 1.71, 4.4, 6.41, 1.67, 12.24], [2.22, 1.68, 4.08, -6.77, 1.69, 8.55], [1.4, 1.46, 3.23, -6.84, 1.6, 10.95], [1.46, 1.61, 4.31, -6.61, 1.63, 18.12], [1.8, 1.77, 4.41, -6.15, 1.68, 23.17], [1.58, 1.54, 3.3, -7.25, 1.68, 38.37], [1.68, 1.71, 4.07, -6.53, 1.8, 41.08]], \"ry\": [3.12, -0.0, 3.13, 3.14, 3.02, -3.12, 0.0]}\n```"
            }
        ]
    },
    {
        "id": 973,
        "data_source": "Mono3DRefer",
        "scene_name": "004936",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.69], \"boxes_2d\": [[498.0, 183.15, 549.86, 220.28]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.63, 1.9, 30.78]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 974,
        "data_source": "Mono3DRefer",
        "scene_name": "004951",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.77], \"boxes_2d\": [[394.14, 179.76, 488.61, 249.48]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.55, 1.9, 19.86]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 975,
        "data_source": "Mono3DRefer",
        "scene_name": "004961",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.08, 1.85, 1.89, 1.85, -1.27], \"boxes_2d\": [[0.0, 147.24, 370.95, 374.0], [487.98, 180.61, 585.26, 241.76], [556.32, 176.88, 625.48, 223.6], [616.77, 176.46, 671.85, 211.93], [801.09, 163.04, 841.61, 186.59]], \"boxes_3d\": [[1.83, 1.69, 4.28, -3.01, 1.77, 4.52], [1.51, 1.63, 4.03, -1.96, 1.74, 20.05], [1.57, 1.44, 3.6, -0.66, 1.73, 26.21], [1.47, 1.51, 3.5, 1.53, 1.64, 31.71], [1.77, 1.75, 4.67, 16.67, 1.05, 56.81]], \"ry\": [1.52, 1.75, 1.86, 1.89, -0.99]}\n```"
            }
        ]
    },
    {
        "id": 976,
        "data_source": "Mono3DRefer",
        "scene_name": "004969",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.61], \"boxes_2d\": [[780.02, 174.72, 834.26, 222.35]], \"boxes_3d\": [[1.56, 1.65, 3.69, 6.88, 1.65, 25.58]], \"ry\": [-1.35]}\n```"
            }
        ]
    },
    {
        "id": 977,
        "data_source": "Mono3DRefer",
        "scene_name": "004982",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.57, -1.58, -2.14, -1.83, -1.68, -1.69], \"boxes_2d\": [[579.82, 176.46, 630.27, 224.47], [598.1, 170.54, 637.56, 211.7], [867.91, 128.79, 1241.0, 374.0], [735.3, 175.17, 881.73, 282.78], [667.72, 172.88, 717.37, 216.07], [651.43, 175.43, 694.0, 209.47]], \"boxes_3d\": [[1.54, 1.63, 3.67, -0.21, 1.69, 25.31], [1.77, 1.69, 4.32, 0.31, 1.7, 33.48], [1.74, 1.62, 4.13, 2.88, 1.61, 3.95], [1.53, 1.46, 3.26, 3.09, 1.58, 11.97], [1.6, 1.56, 3.45, 3.19, 1.63, 28.69], [1.52, 1.53, 4.07, 2.92, 1.66, 34.57]], \"ry\": [-1.58, -1.57, -1.54, -1.59, -1.57, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 978,
        "data_source": "Mono3DRefer",
        "scene_name": "004994",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.79, 1.64], \"boxes_2d\": [[357.64, 191.12, 475.74, 274.64], [521.82, 176.9, 560.3, 206.31]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.78, 1.79, 14.51], [1.46, 1.75, 4.23, -3.65, 1.7, 38.45]], \"ry\": [1.53, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 979,
        "data_source": "Mono3DRefer",
        "scene_name": "005001",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.86, 1.66], \"boxes_2d\": [[250.36, 196.31, 436.69, 318.75], [512.36, 179.61, 557.96, 212.96]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.74, 1.78, 10.66], [1.46, 1.75, 4.23, -3.51, 1.79, 34.16]], \"ry\": [1.53, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 980,
        "data_source": "Mono3DRefer",
        "scene_name": "005014",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.95, 1.76, -1.57, -1.87], \"boxes_2d\": [[185.62, 185.17, 390.16, 307.82], [434.58, 181.4, 502.7, 223.58], [639.43, 175.67, 668.21, 199.31], [740.21, 171.71, 1005.25, 354.03]], \"boxes_3d\": [[1.62, 1.66, 3.81, -5.0, 1.84, 11.7], [1.46, 1.67, 4.92, -5.39, 1.81, 27.89], [1.51, 1.84, 4.1, 2.93, 1.72, 48.64], [1.61, 1.67, 3.62, 2.63, 1.63, 8.25]], \"ry\": [1.55, 1.57, -1.51, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 981,
        "data_source": "Mono3DRefer",
        "scene_name": "005020",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.53], \"boxes_2d\": [[1139.73, 185.57, 1193.05, 225.06]], \"boxes_3d\": [[1.43, 1.55, 3.91, 22.35, 1.97, 28.97]], \"ry\": [-0.88]}\n```"
            }
        ]
    },
    {
        "id": 982,
        "data_source": "Mono3DRefer",
        "scene_name": "005033",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.27, 1.85, 1.89, 1.84, -1.28], \"boxes_2d\": [[0.0, 142.03, 297.72, 374.0], [472.08, 183.53, 579.3, 251.74], [549.52, 180.14, 623.73, 230.69], [614.95, 180.95, 672.46, 218.88], [803.7, 164.31, 845.08, 188.55]], \"boxes_3d\": [[1.83, 1.69, 4.28, -3.01, 1.73, 2.94], [1.51, 1.63, 4.03, -2.05, 1.8, 18.36], [1.57, 1.44, 3.6, -0.75, 1.83, 24.51], [1.47, 1.51, 3.5, 1.43, 1.82, 30.04], [1.77, 1.75, 4.67, 16.43, 1.16, 55.19]], \"ry\": [1.52, 1.74, 1.86, 1.88, -0.99]}\n```"
            }
        ]
    },
    {
        "id": 983,
        "data_source": "Mono3DRefer",
        "scene_name": "005034",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.84, -1.78, 1.61, -1.67], \"boxes_2d\": [[740.46, 187.83, 927.98, 316.93], [695.34, 180.68, 810.36, 262.46], [503.3, 181.2, 546.87, 223.62], [651.37, 180.42, 693.31, 212.63]], \"boxes_3d\": [[1.51, 1.56, 3.81, 3.02, 1.76, 10.64], [1.57, 1.68, 3.83, 2.97, 1.76, 15.98], [1.52, 1.5, 3.85, -3.28, 1.85, 28.06], [1.43, 1.59, 3.68, 2.87, 1.79, 34.17]], \"ry\": [-1.57, -1.6, 1.5, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 984,
        "data_source": "Mono3DRefer",
        "scene_name": "005045",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.08, 1.95, 1.76, 1.71, -1.63], \"boxes_2d\": [[800.7, 128.42, 1197.51, 358.58], [125.57, 201.18, 395.6, 366.68], [390.42, 197.36, 485.38, 261.47], [443.88, 181.5, 512.77, 237.01], [600.44, 180.05, 632.27, 208.41]], \"boxes_3d\": [[1.79, 1.72, 4.35, 3.62, 1.47, 7.86], [1.45, 1.49, 4.07, -4.0, 1.87, 8.95], [1.27, 1.54, 3.58, -4.03, 1.9, 17.23], [1.63, 1.65, 3.91, -4.23, 1.93, 23.49], [1.46, 1.53, 3.17, 0.28, 1.86, 39.17]], \"ry\": [1.5, 1.54, 1.53, 1.54, -1.62]}\n```"
            }
        ]
    },
    {
        "id": 985,
        "data_source": "Mono3DRefer",
        "scene_name": "005047",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.64], \"boxes_2d\": [[547.16, 178.88, 574.03, 198.98]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.73, 1.92, 54.81]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 986,
        "data_source": "Mono3DRefer",
        "scene_name": "005051",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.85, 2.95, 1.69], \"boxes_2d\": [[114.51, 190.47, 376.51, 372.31], [593.5, 171.69, 684.0, 204.79], [441.19, 181.58, 475.69, 206.63]], \"boxes_3d\": [[1.6, 1.73, 3.62, -4.02, 1.85, 8.54], [1.73, 1.74, 4.71, 1.53, 1.69, 39.72], [1.58, 1.76, 4.18, -10.09, 2.17, 48.18]], \"ry\": [1.42, 2.99, 1.48]}\n```"
            }
        ]
    },
    {
        "id": 987,
        "data_source": "Mono3DRefer",
        "scene_name": "005052",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.77, -1.75, 1.42, 1.85], \"boxes_2d\": [[686.29, 180.94, 794.57, 263.1], [662.25, 179.78, 738.1, 236.9], [663.31, 170.67, 693.26, 194.1], [222.5, 186.88, 486.05, 364.82]], \"boxes_3d\": [[1.6, 1.53, 4.18, 2.75, 1.79, 16.29], [1.56, 1.57, 3.98, 2.61, 1.79, 22.0], [1.79, 1.72, 4.35, 5.41, 1.65, 57.78], [1.55, 1.68, 4.42, -2.74, 1.75, 8.73]], \"ry\": [-1.61, -1.63, 1.51, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 988,
        "data_source": "Mono3DRefer",
        "scene_name": "005083",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.79, -1.8, 1.61, -1.72, -1.41, -1.89, 1.79], \"boxes_2d\": [[542.66, 180.83, 622.21, 237.88], [516.18, 182.99, 585.35, 227.37], [304.79, 190.21, 355.92, 233.76], [500.27, 185.97, 545.76, 219.23], [713.75, 182.49, 862.61, 299.38], [603.77, 186.12, 734.17, 266.12], [210.07, 190.66, 330.62, 267.6]], \"boxes_3d\": [[1.6, 1.7, 3.56, -0.98, 1.86, 22.35], [1.52, 1.73, 3.89, -2.35, 1.92, 27.22], [1.44, 1.6, 3.79, -10.41, 2.12, 26.95], [1.37, 1.51, 3.49, -3.97, 1.97, 32.26], [1.51, 1.69, 4.04, 2.99, 1.69, 11.66], [1.46, 1.58, 3.93, 1.08, 1.77, 15.63], [1.5, 1.68, 4.03, -7.81, 1.95, 16.86]], \"ry\": [-1.83, -1.89, 1.25, -1.84, -1.17, -1.83, 1.36]}\n```"
            }
        ]
    },
    {
        "id": 989,
        "data_source": "Mono3DRefer",
        "scene_name": "005100",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.67], \"boxes_2d\": [[506.6, 184.1, 559.71, 223.71]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.01, 1.89, 28.63]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 990,
        "data_source": "Mono3DRefer",
        "scene_name": "005116",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, 2.39, 1.89, -2.35, -1.54], \"boxes_2d\": [[601.84, 185.02, 676.87, 246.95], [1108.54, 177.98, 1241.0, 226.89], [351.31, 186.89, 410.65, 221.36], [480.51, 182.6, 552.76, 214.87], [583.32, 185.34, 627.46, 226.28]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.62, 1.69, 18.05], [1.45, 1.67, 4.32, 18.48, 1.63, 22.9], [1.59, 1.72, 3.86, -11.47, 2.32, 36.29], [1.59, 1.63, 3.64, -4.92, 2.12, 37.6], [1.52, 1.67, 3.61, -0.17, 2.04, 29.26]], \"ry\": [-1.57, 3.06, 1.58, -2.48, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 991,
        "data_source": "Mono3DRefer",
        "scene_name": "005127",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.47, -1.31, -1.42, -1.26], \"boxes_2d\": [[933.5, 180.67, 1110.38, 317.29], [878.58, 170.85, 966.35, 219.11], [1041.91, 160.69, 1145.89, 230.81], [922.95, 169.44, 1005.88, 210.27]], \"boxes_3d\": [[1.33, 1.59, 3.48, 5.24, 1.45, 9.04], [1.47, 1.6, 4.41, 10.51, 1.42, 24.17], [1.63, 1.69, 3.88, 12.59, 1.36, 18.72], [1.46, 1.68, 4.1, 13.69, 1.35, 27.83]], \"ry\": [-0.96, -0.9, -0.84, -0.8]}\n```"
            }
        ]
    },
    {
        "id": 992,
        "data_source": "Mono3DRefer",
        "scene_name": "005128",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.12, -2.02, 1.39, 1.72, -1.7, 1.45], \"boxes_2d\": [[0.0, 183.38, 367.74, 374.0], [805.09, 199.02, 1241.0, 374.0], [685.45, 189.38, 796.62, 267.86], [409.23, 187.34, 507.93, 260.39], [667.33, 184.89, 736.59, 236.16], [655.92, 182.04, 712.56, 224.43]], \"boxes_3d\": [[1.48, 1.64, 3.95, -3.32, 1.57, 5.27], [1.35, 1.64, 3.84, 2.72, 1.6, 5.29], [1.42, 1.59, 4.19, 2.66, 1.81, 15.77], [1.42, 1.64, 3.63, -3.35, 1.77, 16.36], [1.38, 1.58, 3.66, 2.65, 1.76, 21.76], [1.42, 1.6, 3.78, 2.61, 1.77, 26.46]], \"ry\": [1.58, -1.57, 1.56, 1.52, -1.58, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 993,
        "data_source": "Mono3DRefer",
        "scene_name": "005130",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.79], \"boxes_2d\": [[406.82, 190.15, 517.67, 264.24]], \"boxes_3d\": [[1.44, 1.7, 3.65, -3.29, 1.87, 16.51]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 994,
        "data_source": "Mono3DRefer",
        "scene_name": "005132",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, 2.05, 2.38, 2.07, -0.64], \"boxes_2d\": [[706.61, 172.69, 777.69, 238.48], [292.27, 173.54, 475.95, 289.2], [0.0, 191.21, 227.34, 317.4], [395.39, 185.27, 507.21, 233.84], [844.89, 163.73, 922.27, 192.84]], \"boxes_3d\": [[1.56, 1.65, 3.69, 3.36, 1.58, 19.03], [1.76, 1.58, 3.68, -3.88, 1.79, 12.92], [1.56, 1.62, 4.19, -8.36, 1.9, 11.51], [1.42, 1.67, 4.53, -5.2, 1.87, 24.16], [1.54, 1.63, 3.74, 15.04, 1.06, 39.78]], \"ry\": [-1.43, 1.76, 1.76, 1.86, -0.29]}\n```"
            }
        ]
    },
    {
        "id": 995,
        "data_source": "Mono3DRefer",
        "scene_name": "005133",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.59, -1.01], \"boxes_2d\": [[599.03, 175.73, 626.41, 202.65], [0.0, 184.83, 394.18, 374.0]], \"boxes_3d\": [[1.65, 1.67, 3.64, 0.12, 1.86, 46.49], [1.61, 1.51, 4.5, -2.69, 1.7, 4.01]], \"ry\": [-1.59, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 996,
        "data_source": "Mono3DRefer",
        "scene_name": "005169",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[444.32, 179.7, 502.89, 217.18]], \"boxes_3d\": [[1.51, 1.81, 4.07, -5.92, 1.83, 31.56]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 997,
        "data_source": "Mono3DRefer",
        "scene_name": "005170",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.9], \"boxes_2d\": [[245.37, 116.63, 516.15, 316.46]], \"boxes_3d\": [[2.11, 2.04, 4.62, -2.67, 1.43, 9.96]], \"ry\": [1.64]}\n```"
            }
        ]
    },
    {
        "id": 998,
        "data_source": "Mono3DRefer",
        "scene_name": "005177",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.62, 2.41, 2.09, -0.53], \"boxes_2d\": [[740.74, 168.37, 814.53, 234.01], [0.0, 170.19, 285.71, 374.0], [381.53, 181.99, 510.77, 237.12], [931.58, 158.46, 1021.01, 190.01]], \"boxes_3d\": [[1.56, 1.65, 3.69, 4.3, 1.48, 19.08], [1.76, 1.58, 3.68, -4.47, 1.76, 5.65], [1.42, 1.67, 4.53, -4.71, 1.71, 21.32], [1.54, 1.63, 3.74, 18.64, 0.84, 36.84]], \"ry\": [-1.41, 1.76, 1.87, -0.07]}\n```"
            }
        ]
    },
    {
        "id": 999,
        "data_source": "Mono3DRefer",
        "scene_name": "005184",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.7, -1.71], \"boxes_2d\": [[471.2, 180.84, 554.37, 244.73], [667.84, 181.43, 724.36, 227.38]], \"boxes_3d\": [[1.55, 1.68, 4.42, -2.6, 1.78, 19.94], [1.6, 1.53, 4.18, 3.17, 1.93, 27.51]], \"ry\": [1.57, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 1000,
        "data_source": "Mono3DRefer",
        "scene_name": "005185",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.65, -2.64, -1.76], \"boxes_2d\": [[726.63, 182.52, 783.35, 231.04], [298.06, 190.93, 456.39, 265.55], [750.29, 186.32, 995.55, 374.0]], \"boxes_3d\": [[1.52, 1.54, 4.5, 4.95, 1.88, 25.27], [1.59, 1.45, 3.15, -5.36, 2.03, 16.61], [1.46, 1.53, 3.17, 2.25, 1.61, 7.07]], \"ry\": [-1.46, -2.94, -1.46]}\n```"
            }
        ]
    },
    {
        "id": 1001,
        "data_source": "Mono3DRefer",
        "scene_name": "005190",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.66, -1.67, -1.77, -2.57, 0.4, -2.73, 0.27, -2.84, -1.75, -2.89, -2.89], \"boxes_2d\": [[636.82, 179.45, 671.82, 207.4], [653.78, 180.36, 707.72, 223.76], [675.59, 171.99, 789.57, 259.34], [55.98, 182.73, 335.49, 286.27], [129.34, 182.12, 405.35, 269.44], [222.13, 185.49, 421.82, 256.77], [331.19, 168.77, 486.61, 232.58], [322.67, 177.32, 452.88, 237.53], [663.71, 181.74, 737.17, 232.91], [362.21, 169.59, 473.21, 224.73], [389.46, 174.76, 501.54, 217.63]], \"boxes_3d\": [[1.45, 1.59, 3.59, 2.37, 1.83, 39.77], [1.54, 1.67, 3.72, 2.62, 1.84, 27.74], [1.76, 1.71, 4.35, 2.66, 1.77, 16.87], [1.52, 1.58, 3.61, -6.56, 1.7, 11.56], [1.52, 1.71, 4.49, -6.47, 1.72, 13.9], [1.49, 1.61, 3.87, -6.47, 1.8, 16.33], [1.95, 1.64, 4.57, -6.47, 1.85, 23.37], [1.66, 1.58, 3.31, -6.47, 1.81, 21.11], [1.44, 1.66, 3.25, 2.67, 1.72, 22.24], [1.87, 1.61, 3.53, -6.85, 1.79, 25.78], [1.72, 1.65, 4.33, -6.92, 1.83, 30.47]], \"ry\": [-1.6, -1.58, -1.62, -3.08, -0.03, -3.1, 0.0, -3.14, -1.63, 3.13, -3.11]}\n```"
            }
        ]
    },
    {
        "id": 1002,
        "data_source": "Mono3DRefer",
        "scene_name": "005199",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.63, 1.77], \"boxes_2d\": [[523.85, 176.31, 560.8, 204.88], [375.25, 189.91, 483.02, 267.0]], \"boxes_3d\": [[1.46, 1.75, 4.23, -3.68, 1.67, 39.52], [1.39, 1.48, 3.76, -3.79, 1.79, 15.5]], \"ry\": [1.54, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 1003,
        "data_source": "Mono3DRefer",
        "scene_name": "005213",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, -1.32, 2.18], \"boxes_2d\": [[591.05, 177.23, 618.21, 204.09], [316.57, 179.38, 502.96, 316.33], [0.0, 198.56, 161.34, 281.41]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.4, 1.95, 46.62], [1.61, 1.51, 4.5, -2.76, 1.72, 10.83], [1.61, 1.72, 3.65, -12.43, 2.26, 16.76]], \"ry\": [-1.59, -1.56, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 1004,
        "data_source": "Mono3DRefer",
        "scene_name": "005223",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.73, 1.74], \"boxes_2d\": [[310.24, 179.53, 487.55, 326.43], [438.81, 182.62, 532.43, 257.3]], \"boxes_3d\": [[1.65, 1.75, 3.39, -2.74, 1.75, 9.95], [1.57, 1.54, 4.01, -2.92, 1.82, 17.44]], \"ry\": [1.47, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 1005,
        "data_source": "Mono3DRefer",
        "scene_name": "005224",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.58], \"boxes_2d\": [[61.33, 196.37, 314.95, 267.04]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.93, 1.9, 15.39]], \"ry\": [0.06]}\n```"
            }
        ]
    },
    {
        "id": 1006,
        "data_source": "Mono3DRefer",
        "scene_name": "005225",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.64], \"boxes_2d\": [[537.64, 181.89, 568.81, 206.48]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.72, 2.13, 47.57]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 1007,
        "data_source": "Mono3DRefer",
        "scene_name": "005250",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.53, -1.56, -1.85, -1.76, -1.66, 0.4, 0.03, 0.17, -1.59], \"boxes_2d\": [[507.07, 176.93, 644.01, 307.39], [562.26, 163.25, 645.7, 250.31], [744.32, 172.67, 946.11, 319.15], [680.11, 177.53, 791.54, 259.96], [652.66, 174.5, 719.48, 232.12], [64.36, 184.27, 146.91, 215.74], [341.88, 177.8, 401.36, 203.2], [242.58, 182.02, 307.88, 207.96], [641.49, 174.93, 681.92, 211.83]], \"boxes_3d\": [[1.54, 1.63, 3.67, -0.47, 1.62, 10.47], [1.77, 1.69, 4.32, -0.16, 1.6, 16.96], [1.6, 1.56, 3.45, 2.87, 1.62, 9.68], [1.52, 1.53, 4.07, 2.5, 1.64, 15.48], [1.52, 1.53, 4.16, 2.11, 1.59, 21.28], [1.74, 1.87, 3.51, -29.47, 2.43, 42.22], [1.53, 1.85, 3.5, -15.06, 1.86, 45.64], [1.51, 1.85, 3.37, -20.55, 2.09, 44.36], [1.4, 1.53, 3.24, 2.02, 1.5, 29.19]], \"ry\": [-1.58, -1.57, -1.57, -1.61, -1.57, -0.21, -0.29, -0.26, -1.52]}\n```"
            }
        ]
    },
    {
        "id": 1008,
        "data_source": "Mono3DRefer",
        "scene_name": "005252",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.67], \"boxes_2d\": [[522.09, 174.68, 553.06, 201.83]], \"boxes_3d\": [[1.65, 1.56, 3.98, -4.62, 1.79, 46.17]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 1009,
        "data_source": "Mono3DRefer",
        "scene_name": "005257",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.03, 1.74, 1.64, 1.89], \"boxes_2d\": [[22.08, 215.46, 402.67, 374.0], [468.92, 187.45, 537.53, 247.28], [524.75, 186.54, 563.2, 221.36], [558.19, 184.56, 597.24, 209.18]], \"boxes_3d\": [[1.47, 1.62, 3.79, -3.48, 1.99, 7.11], [1.7, 1.53, 3.82, -3.37, 2.2, 23.09], [1.5, 1.53, 3.38, -3.08, 2.17, 33.76], [1.56, 1.56, 3.6, -2.15, 2.37, 48.54]], \"ry\": [1.59, 1.59, 1.55, 1.85]}\n```"
            }
        ]
    },
    {
        "id": 1010,
        "data_source": "Mono3DRefer",
        "scene_name": "005269",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.71, 1.71, 1.82, 1.81, 1.96], \"boxes_2d\": [[668.09, 185.87, 760.37, 253.39], [496.46, 185.87, 536.08, 212.25], [386.27, 191.05, 474.17, 248.09], [429.1, 188.93, 499.05, 233.64], [213.87, 204.86, 393.96, 296.26]], \"boxes_3d\": [[1.41, 1.64, 3.77, 2.37, 1.75, 17.49], [1.43, 1.76, 3.97, -5.5, 2.22, 42.51], [1.49, 1.61, 3.94, -5.33, 2.07, 21.72], [1.48, 1.66, 3.9, -5.38, 2.11, 26.86], [1.31, 1.58, 4.23, -5.6, 2.0, 13.69]], \"ry\": [-1.58, 1.58, 1.58, 1.61, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 1011,
        "data_source": "Mono3DRefer",
        "scene_name": "005300",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.59, 2.7, -2.58, -2.8, -2.93, -2.99], \"boxes_2d\": [[735.59, 184.3, 1069.83, 308.98], [623.45, 166.99, 851.49, 266.56], [0.0, 207.3, 128.8, 373.2], [8.77, 194.13, 255.89, 275.96], [163.33, 191.24, 306.27, 244.53], [274.96, 187.17, 363.91, 220.04]], \"boxes_3d\": [[1.49, 1.66, 4.16, 4.02, 1.68, 10.2], [1.85, 1.68, 4.34, 2.57, 1.76, 14.96], [1.51, 1.53, 4.46, -7.68, 1.92, 7.18], [1.43, 1.56, 3.85, -9.47, 1.9, 14.54], [1.42, 1.62, 3.5, -11.08, 2.01, 21.45], [1.41, 1.54, 3.6, -13.35, 2.09, 33.24]], \"ry\": [-0.22, 2.87, 2.91, 2.92, 2.88, 2.91]}\n```"
            }
        ]
    },
    {
        "id": 1012,
        "data_source": "Mono3DRefer",
        "scene_name": "005305",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[500.7, 174.51, 546.08, 202.61]], \"boxes_3d\": [[1.42, 1.78, 3.62, -4.14, 1.07, 38.6]], \"ry\": [1.64]}\n```"
            }
        ]
    },
    {
        "id": 1013,
        "data_source": "Mono3DRefer",
        "scene_name": "005307",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.79], \"boxes_2d\": [[699.4, 188.3, 841.79, 283.23]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.72, 1.73, 13.38]], \"ry\": [-1.59]}\n```"
            }
        ]
    },
    {
        "id": 1014,
        "data_source": "Mono3DRefer",
        "scene_name": "005315",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.06, -2.82, 1.38, 1.58], \"boxes_2d\": [[799.95, 187.55, 1241.0, 374.0], [342.46, 175.9, 443.48, 220.24], [691.64, 165.75, 736.9, 199.3], [563.42, 176.72, 590.52, 202.99]], \"boxes_3d\": [[1.56, 1.57, 3.98, 2.7, 1.7, 5.19], [1.61, 1.57, 3.35, -8.27, 1.75, 27.52], [1.79, 1.72, 4.35, 5.83, 1.44, 41.0], [1.45, 1.49, 4.07, -1.95, 1.69, 42.23]], \"ry\": [-1.6, -3.11, 1.52, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 1015,
        "data_source": "Mono3DRefer",
        "scene_name": "005319",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.79, 1.76, -1.18], \"boxes_2d\": [[288.08, 188.3, 488.4, 329.72], [466.94, 172.0, 557.5, 236.34], [644.57, 172.92, 691.66, 204.2]], \"boxes_3d\": [[1.46, 1.63, 4.47, -2.83, 1.71, 10.08], [1.7, 1.82, 4.45, -2.81, 1.71, 21.41], [1.57, 1.56, 2.62, 3.04, 1.59, 37.78]], \"ry\": [1.52, 1.63, -1.1]}\n```"
            }
        ]
    },
    {
        "id": 1016,
        "data_source": "Mono3DRefer",
        "scene_name": "005331",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.69], \"boxes_2d\": [[502.46, 183.0, 554.4, 219.32]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.52, 1.91, 31.51]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 1017,
        "data_source": "Mono3DRefer",
        "scene_name": "005340",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.56, -1.46, -1.56, -0.72, -0.65], \"boxes_2d\": [[633.46, 178.01, 676.43, 215.8], [580.14, 170.49, 624.38, 205.66], [649.93, 170.89, 682.87, 201.63], [959.15, 152.38, 1072.5, 190.96], [917.34, 154.2, 1014.56, 190.49]], \"boxes_3d\": [[1.37, 1.56, 3.54, 1.74, 1.59, 28.22], [1.61, 1.69, 4.26, -0.35, 1.53, 35.46], [1.53, 1.63, 4.5, 3.01, 1.46, 38.53], [1.48, 1.6, 3.84, 16.21, 0.69, 28.93], [1.55, 1.61, 3.64, 15.8, 0.75, 32.14]], \"ry\": [-1.5, -1.47, -1.48, -0.21, -0.2]}\n```"
            }
        ]
    },
    {
        "id": 1018,
        "data_source": "Mono3DRefer",
        "scene_name": "005351",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.61, -0.55], \"boxes_2d\": [[69.63, 195.63, 311.11, 289.84], [0.0, 179.69, 223.93, 285.07]], \"boxes_3d\": [[1.41, 1.62, 3.6, -7.66, 1.88, 13.45], [1.77, 1.96, 4.39, -10.48, 1.93, 14.54]], \"ry\": [-1.12, -1.16]}\n```"
            }
        ]
    },
    {
        "id": 1019,
        "data_source": "Mono3DRefer",
        "scene_name": "005357",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.48, 2.43, 2.15, -1.78, 1.76, -1.67], \"boxes_2d\": [[691.42, 178.61, 722.06, 203.49], [0.0, 191.55, 144.96, 353.49], [80.86, 160.14, 331.94, 302.83], [727.82, 179.82, 844.89, 262.87], [617.63, 177.5, 658.73, 205.34], [725.85, 161.63, 795.7, 241.57]], \"boxes_3d\": [[1.54, 1.63, 3.67, 6.3, 1.93, 46.91], [1.56, 1.59, 3.69, -6.83, 1.78, 7.21], [1.93, 1.59, 4.01, -6.34, 1.79, 11.84], [1.58, 1.67, 3.84, 3.67, 1.75, 15.81], [1.53, 1.67, 3.78, 1.65, 1.81, 41.69], [2.05, 1.5, 3.83, 4.17, 1.79, 20.55]], \"ry\": [-1.34, 1.69, 1.67, -1.55, 1.8, -1.48]}\n```"
            }
        ]
    },
    {
        "id": 1020,
        "data_source": "Mono3DRefer",
        "scene_name": "005358",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.63], \"boxes_2d\": [[2.16, 193.43, 305.02, 298.49]], \"boxes_3d\": [[1.41, 1.54, 3.6, -6.81, 1.75, 10.96]], \"ry\": [3.1]}\n```"
            }
        ]
    },
    {
        "id": 1021,
        "data_source": "Mono3DRefer",
        "scene_name": "005379",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.97, 1.85, -1.76, 1.75, -1.71, 1.69], \"boxes_2d\": [[234.79, 189.26, 469.38, 322.54], [382.44, 167.04, 530.35, 272.51], [719.11, 180.0, 799.11, 230.77], [501.69, 174.12, 573.89, 232.52], [699.19, 169.75, 763.55, 218.23], [534.65, 174.89, 583.25, 220.42]], \"boxes_3d\": [[1.44, 1.64, 3.78, -3.34, 1.7, 10.02], [1.77, 1.71, 4.28, -2.88, 1.7, 14.33], [1.45, 1.71, 3.93, 4.57, 1.69, 22.81], [1.73, 1.65, 3.96, -2.29, 1.79, 23.48], [1.78, 1.89, 4.37, 4.73, 1.69, 28.91], [1.68, 1.51, 3.29, -1.99, 1.78, 28.43]], \"ry\": [1.66, 1.65, -1.57, 1.65, -1.55, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 1022,
        "data_source": "Mono3DRefer",
        "scene_name": "005393",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.76, 1.69], \"boxes_2d\": [[386.94, 179.27, 437.26, 217.81], [426.42, 178.24, 454.58, 195.49]], \"boxes_3d\": [[1.49, 1.54, 2.54, -8.11, 1.77, 29.59], [1.48, 1.97, 4.33, -15.23, 1.98, 64.94]], \"ry\": [1.49, 1.46]}\n```"
            }
        ]
    },
    {
        "id": 1023,
        "data_source": "Mono3DRefer",
        "scene_name": "005402",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.79], \"boxes_2d\": [[379.23, 189.49, 502.65, 269.93]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.54, 1.84, 15.65]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 1024,
        "data_source": "Mono3DRefer",
        "scene_name": "005415",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.09, 1.46, -2.97], \"boxes_2d\": [[0.0, 205.4, 415.67, 374.0], [634.52, 182.45, 699.39, 234.6], [423.49, 180.42, 512.12, 210.47]], \"boxes_3d\": [[1.4, 1.67, 3.72, -3.06, 1.75, 6.03], [1.49, 1.61, 3.74, 1.68, 1.8, 22.82], [1.47, 1.68, 4.26, -7.32, 1.88, 37.26]], \"ry\": [-1.55, 1.53, 3.12]}\n```"
            }
        ]
    },
    {
        "id": 1025,
        "data_source": "Mono3DRefer",
        "scene_name": "005421",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.9, -1.59], \"boxes_2d\": [[285.21, 180.77, 455.4, 288.78], [659.37, 171.43, 692.23, 202.77]], \"boxes_3d\": [[1.59, 1.63, 3.83, -4.03, 1.74, 12.66], [1.62, 1.7, 3.29, 3.53, 1.58, 39.43]], \"ry\": [1.6, -1.5]}\n```"
            }
        ]
    },
    {
        "id": 1026,
        "data_source": "Mono3DRefer",
        "scene_name": "005424",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.67], \"boxes_2d\": [[500.5, 178.45, 540.82, 212.43]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.75, 2.01, 38.56]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 1027,
        "data_source": "Mono3DRefer",
        "scene_name": "005435",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.33], \"boxes_2d\": [[357.5, 183.96, 471.07, 216.94]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.56, 1.87, 31.62]], \"ry\": [0.07]}\n```"
            }
        ]
    },
    {
        "id": 1028,
        "data_source": "Mono3DRefer",
        "scene_name": "005446",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.9], \"boxes_2d\": [[222.47, 196.84, 453.68, 351.22]], \"boxes_3d\": [[1.45, 1.56, 3.47, -3.15, 1.79, 8.95]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 1029,
        "data_source": "Mono3DRefer",
        "scene_name": "005448",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.59, -1.19], \"boxes_2d\": [[595.61, 171.69, 622.85, 198.58], [53.67, 181.94, 455.0, 374.0]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.11, 1.61, 46.55], [1.61, 1.51, 4.5, -2.75, 1.71, 6.74]], \"ry\": [-1.59, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 1030,
        "data_source": "Mono3DRefer",
        "scene_name": "005449",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-3.01, -1.69, 1.69, -2.87, 0.4, 0.54, 0.58, -1.82], \"boxes_2d\": [[414.12, 176.27, 513.31, 210.78], [651.59, 172.12, 704.25, 215.68], [512.58, 180.69, 565.21, 221.62], [228.66, 178.3, 434.31, 247.06], [171.23, 180.32, 402.55, 261.41], [63.84, 185.32, 366.35, 295.97], [0.0, 179.53, 307.09, 338.79], [725.42, 192.9, 902.84, 300.41]], \"boxes_3d\": [[1.47, 1.53, 4.21, -6.59, 1.66, 32.62], [1.64, 1.62, 4.2, 2.68, 1.65, 29.62], [1.35, 1.47, 3.43, -2.53, 1.64, 25.88], [1.48, 1.61, 4.24, -6.48, 1.64, 17.02], [1.5, 1.8, 3.88, -6.45, 1.67, 14.62], [1.51, 1.55, 3.72, -5.84, 1.72, 10.83], [1.58, 1.66, 4.21, -5.91, 1.68, 8.1], [1.27, 1.58, 4.03, 2.86, 1.63, 11.14]], \"ry\": [3.08, -1.6, 1.59, 3.05, -0.01, 0.05, -0.04, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 1031,
        "data_source": "Mono3DRefer",
        "scene_name": "005451",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.68, -1.78], \"boxes_2d\": [[566.63, 178.08, 626.99, 224.61], [618.6, 170.52, 770.45, 289.11]], \"boxes_3d\": [[1.38, 1.51, 4.1, -0.55, 1.57, 23.79], [1.6, 1.66, 3.55, 1.15, 1.59, 11.67]], \"ry\": [-1.71, -1.68]}\n```"
            }
        ]
    },
    {
        "id": 1032,
        "data_source": "Mono3DRefer",
        "scene_name": "005455",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, 1.92, 2.3, 2.11, -0.77], \"boxes_2d\": [[669.71, 171.35, 740.14, 237.04], [434.74, 171.56, 534.2, 240.07], [31.71, 186.71, 275.02, 283.64], [395.29, 183.24, 499.6, 226.22], [772.82, 166.81, 840.9, 194.19]], \"boxes_3d\": [[1.56, 1.65, 3.69, 2.44, 1.55, 19.07], [1.76, 1.58, 3.68, -3.49, 1.75, 20.47], [1.56, 1.62, 4.19, -8.7, 1.87, 14.17], [1.42, 1.67, 4.53, -5.94, 1.83, 26.81], [1.54, 1.63, 3.74, 11.5, 1.2, 42.19]], \"ry\": [-1.45, 1.76, 1.75, 1.89, -0.5]}\n```"
            }
        ]
    },
    {
        "id": 1033,
        "data_source": "Mono3DRefer",
        "scene_name": "005456",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.83], \"boxes_2d\": [[324.9, 192.77, 483.74, 304.13]], \"boxes_3d\": [[1.45, 1.56, 3.47, -3.17, 1.81, 11.61]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 1034,
        "data_source": "Mono3DRefer",
        "scene_name": "005466",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.87, -2.47, -1.51, -1.76, -1.64, -1.46, -1.6], \"boxes_2d\": [[729.89, 166.12, 1034.32, 360.25], [0.0, 191.94, 191.11, 295.06], [479.54, 168.98, 548.27, 229.34], [661.2, 168.09, 749.79, 232.4], [650.56, 171.14, 709.97, 216.45], [528.6, 174.1, 568.41, 206.09], [638.0, 163.18, 675.9, 201.47]], \"boxes_3d\": [[1.49, 1.64, 4.17, 2.41, 1.47, 7.68], [1.47, 1.58, 3.55, -8.88, 1.8, 11.35], [1.6, 1.75, 3.89, -2.78, 1.52, 21.29], [1.59, 1.64, 4.03, 2.5, 1.5, 20.07], [1.5, 1.8, 4.5, 2.45, 1.48, 26.43], [1.46, 1.56, 3.21, -2.97, 1.55, 34.94], [1.83, 1.75, 4.52, 2.32, 1.39, 36.98]], \"ry\": [-1.57, -3.12, -1.64, -1.64, -1.55, -1.54, -1.54]}\n```"
            }
        ]
    },
    {
        "id": 1035,
        "data_source": "Mono3DRefer",
        "scene_name": "005478",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.36, -0.69, 1.67, 1.63], \"boxes_2d\": [[466.4, 155.43, 569.53, 231.44], [994.19, 127.25, 1241.0, 270.94], [551.07, 156.42, 600.78, 197.8], [608.02, 155.07, 631.32, 173.77]], \"boxes_3d\": [[1.77, 1.75, 4.67, -2.34, 1.39, 19.25], [1.47, 1.52, 4.43, 6.96, 1.0, 8.21], [1.6, 1.68, 3.94, -1.39, 0.98, 30.09], [1.42, 1.66, 4.11, 0.81, 0.05, 58.95]], \"ry\": [-1.48, -0.0, 1.62, 1.64]}\n```"
            }
        ]
    },
    {
        "id": 1036,
        "data_source": "Mono3DRefer",
        "scene_name": "005485",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.82], \"boxes_2d\": [[500.88, 175.87, 563.24, 207.67]], \"boxes_3d\": [[1.37, 1.78, 4.65, -3.59, 1.54, 33.77]], \"ry\": [1.72]}\n```"
            }
        ]
    },
    {
        "id": 1037,
        "data_source": "Mono3DRefer",
        "scene_name": "005486",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.02, 1.17, 1.76, 1.43, 1.68, -1.63], \"boxes_2d\": [[8.49, 174.1, 410.14, 374.0], [774.02, 200.57, 1241.0, 374.0], [405.06, 174.56, 505.82, 251.51], [682.83, 179.89, 762.83, 235.31], [474.14, 174.19, 542.37, 222.85], [652.24, 173.49, 684.56, 202.01]], \"boxes_3d\": [[1.56, 1.68, 3.69, -3.31, 1.59, 6.78], [1.44, 1.64, 4.5, 2.73, 1.76, 6.27], [1.46, 1.51, 3.24, -3.24, 1.52, 15.46], [1.38, 1.59, 4.19, 3.01, 1.58, 20.22], [1.38, 1.69, 3.74, -3.13, 1.44, 22.56], [1.51, 1.56, 3.81, 3.21, 1.57, 40.46]], \"ry\": [1.59, 1.57, 1.55, 1.58, 1.54, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 1038,
        "data_source": "Mono3DRefer",
        "scene_name": "005493",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.04, 1.43, 1.67], \"boxes_2d\": [[0.0, 173.54, 369.3, 374.0], [355.02, 186.44, 389.32, 212.23], [395.3, 187.82, 481.31, 255.67]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.12, 1.72, 5.11], [1.65, 1.75, 3.39, -16.18, 2.59, 48.92], [1.47, 1.7, 4.39, -4.31, 1.88, 18.5]], \"ry\": [1.51, 1.12, 1.44]}\n```"
            }
        ]
    },
    {
        "id": 1039,
        "data_source": "Mono3DRefer",
        "scene_name": "005520",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.27], \"boxes_2d\": [[7.6, 181.39, 147.73, 235.06]], \"boxes_3d\": [[1.5, 1.47, 3.62, -16.3, 1.78, 22.26]], \"ry\": [1.65]}\n```"
            }
        ]
    },
    {
        "id": 1040,
        "data_source": "Mono3DRefer",
        "scene_name": "005522",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[427.24, 187.28, 519.63, 249.88]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.58, 1.86, 19.38]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 1041,
        "data_source": "Mono3DRefer",
        "scene_name": "005545",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.63], \"boxes_2d\": [[582.37, 162.49, 615.58, 189.9]], \"boxes_3d\": [[1.49, 1.68, 4.08, -0.09, 0.45, 41.51]], \"ry\": [1.62]}\n```"
            }
        ]
    },
    {
        "id": 1042,
        "data_source": "Mono3DRefer",
        "scene_name": "005550",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.61], \"boxes_2d\": [[541.54, 176.64, 568.0, 201.51]], \"boxes_3d\": [[1.7, 1.72, 4.11, -3.96, 1.99, 51.93]], \"ry\": [1.53]}\n```"
            }
        ]
    },
    {
        "id": 1043,
        "data_source": "Mono3DRefer",
        "scene_name": "005558",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.66, -1.56, -1.59], \"boxes_2d\": [[641.99, 169.33, 681.31, 200.83], [572.31, 174.05, 613.93, 211.06], [569.91, 172.51, 601.27, 199.16]], \"boxes_3d\": [[1.6, 1.76, 3.84, 2.83, 0.78, 38.81], [1.39, 1.56, 3.45, -0.6, 0.96, 28.94], [1.41, 1.66, 3.76, -1.31, 0.73, 40.37]], \"ry\": [-1.59, -1.58, -1.63]}\n```"
            }
        ]
    },
    {
        "id": 1044,
        "data_source": "Mono3DRefer",
        "scene_name": "005563",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.55, 1.45], \"boxes_2d\": [[516.7, 180.7, 552.08, 217.25], [489.89, 181.89, 521.85, 203.8]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.8, 2.08, 35.59], [1.47, 1.7, 4.39, -7.46, 2.12, 51.25]], \"ry\": [1.45, 1.3]}\n```"
            }
        ]
    },
    {
        "id": 1045,
        "data_source": "Mono3DRefer",
        "scene_name": "005571",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.59, -1.29, 2.26], \"boxes_2d\": [[592.47, 173.46, 619.64, 200.32], [262.0, 180.24, 490.69, 343.09], [0.0, 195.43, 92.94, 284.22]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.31, 1.71, 46.6], [1.61, 1.51, 4.5, -2.76, 1.72, 9.47], [1.61, 1.72, 3.65, -12.34, 2.1, 14.15]], \"ry\": [-1.59, -1.57, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 1046,
        "data_source": "Mono3DRefer",
        "scene_name": "005585",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.51, -0.54, -0.46, -2.82, -3.04], \"boxes_2d\": [[114.21, 193.45, 443.79, 294.37], [861.34, 171.86, 1241.0, 360.18], [784.17, 156.61, 1163.94, 299.11], [358.42, 184.4, 516.0, 236.6], [412.21, 181.08, 535.6, 220.68]], \"boxes_3d\": [[1.38, 1.66, 4.38, -5.02, 1.74, 11.14], [1.48, 1.86, 4.18, 4.67, 1.48, 6.61], [1.74, 1.66, 4.37, 4.75, 1.57, 9.91], [1.47, 1.67, 4.28, -5.16, 1.84, 21.64], [1.38, 1.67, 4.37, -5.03, 1.71, 26.93]], \"ry\": [0.09, 0.06, -0.03, -3.05, 3.06]}\n```"
            }
        ]
    },
    {
        "id": 1047,
        "data_source": "Mono3DRefer",
        "scene_name": "005587",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[593.84, 173.7, 624.99, 204.48]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.03, 1.72, 40.89]], \"ry\": [-1.55]}\n```"
            }
        ]
    },
    {
        "id": 1048,
        "data_source": "Mono3DRefer",
        "scene_name": "005597",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.6], \"boxes_2d\": [[536.05, 173.58, 563.77, 200.01]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.06, 1.78, 48.97]], \"ry\": [1.52]}\n```"
            }
        ]
    },
    {
        "id": 1049,
        "data_source": "Mono3DRefer",
        "scene_name": "005600",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.95, -1.48, 1.78], \"boxes_2d\": [[130.72, 182.66, 430.59, 359.6], [662.02, 166.67, 700.92, 201.74], [612.62, 167.63, 649.49, 189.56]], \"boxes_3d\": [[1.7, 1.82, 4.45, -3.82, 1.84, 9.27], [1.57, 1.56, 2.62, 3.36, 1.31, 33.93], [1.43, 1.68, 4.19, 1.47, 1.11, 49.53]], \"ry\": [1.57, -1.38, 1.81]}\n```"
            }
        ]
    },
    {
        "id": 1050,
        "data_source": "Mono3DRefer",
        "scene_name": "005614",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.56], \"boxes_2d\": [[945.93, 180.13, 984.8, 212.53]], \"boxes_3d\": [[1.43, 1.55, 3.91, 16.87, 1.79, 34.29]], \"ry\": [-1.1]}\n```"
            }
        ]
    },
    {
        "id": 1051,
        "data_source": "Mono3DRefer",
        "scene_name": "005618",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.29, -1.48, -1.85, -1.74, -1.47, -1.62, -2.15], \"boxes_2d\": [[0.0, 199.58, 248.12, 334.54], [602.27, 175.1, 687.7, 248.26], [826.11, 170.63, 964.02, 255.23], [805.45, 173.53, 896.11, 228.75], [664.36, 179.28, 707.87, 215.01], [786.87, 166.52, 833.84, 210.57], [1013.19, 162.64, 1241.0, 374.0]], \"boxes_3d\": [[1.47, 1.58, 3.55, -6.79, 1.84, 9.25], [1.6, 1.75, 3.89, 0.93, 1.67, 17.8], [1.59, 1.64, 4.03, 5.95, 1.58, 15.66], [1.5, 1.8, 4.5, 7.15, 1.55, 21.98], [1.46, 1.56, 3.21, 3.31, 1.75, 31.32], [1.83, 1.75, 4.52, 8.87, 1.59, 32.32], [1.49, 1.64, 4.17, 3.59, 1.44, 3.51]], \"ry\": [-2.91, -1.43, -1.5, -1.43, -1.37, -1.36, -1.39]}\n```"
            }
        ]
    },
    {
        "id": 1052,
        "data_source": "Mono3DRefer",
        "scene_name": "005635",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.5, -1.31, -1.39, -1.42], \"boxes_2d\": [[737.29, 179.57, 791.89, 225.64], [57.47, 211.17, 140.91, 253.16], [141.73, 200.37, 195.88, 237.95], [798.0, 180.12, 827.44, 200.15]], \"boxes_3d\": [[1.6, 1.76, 3.84, 5.96, 1.4, 27.19], [1.36, 1.66, 4.18, -20.29, 2.5, 28.82], [1.7, 1.76, 3.21, -22.19, 2.52, 36.41], [1.39, 1.56, 3.45, 14.88, 1.03, 52.15]], \"ry\": [-1.29, -1.92, -1.93, -1.15]}\n```"
            }
        ]
    },
    {
        "id": 1053,
        "data_source": "Mono3DRefer",
        "scene_name": "005655",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.65], \"boxes_2d\": [[531.41, 172.47, 555.54, 194.19]], \"boxes_3d\": [[1.65, 1.56, 3.98, -5.26, 1.65, 57.22]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 1054,
        "data_source": "Mono3DRefer",
        "scene_name": "005657",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.57, 1.45], \"boxes_2d\": [[502.53, 184.82, 540.39, 224.32], [478.04, 186.53, 512.48, 210.62]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.14, 2.26, 33.45], [1.47, 1.7, 4.39, -7.64, 2.39, 47.59]], \"ry\": [1.45, 1.29]}\n```"
            }
        ]
    },
    {
        "id": 1055,
        "data_source": "Mono3DRefer",
        "scene_name": "005678",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.89, 1.7], \"boxes_2d\": [[249.23, 193.18, 470.25, 328.94], [514.03, 184.36, 560.4, 217.89]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.44, 1.87, 10.71], [1.44, 1.7, 3.65, -3.37, 2.0, 33.68]], \"ry\": [1.59, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 1056,
        "data_source": "Mono3DRefer",
        "scene_name": "005690",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.69], \"boxes_2d\": [[91.58, 189.09, 342.74, 277.39]], \"boxes_3d\": [[1.41, 1.54, 3.6, -6.87, 1.72, 12.8]], \"ry\": [3.1]}\n```"
            }
        ]
    },
    {
        "id": 1057,
        "data_source": "Mono3DRefer",
        "scene_name": "005701",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.63, 1.71], \"boxes_2d\": [[541.55, 179.49, 564.85, 199.26], [492.74, 178.54, 540.61, 218.41]], \"boxes_3d\": [[1.45, 1.53, 3.98, -4.37, 1.98, 55.65], [1.65, 1.56, 3.98, -4.12, 1.91, 32.07]], \"ry\": [1.56, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 1058,
        "data_source": "Mono3DRefer",
        "scene_name": "005710",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.62], \"boxes_2d\": [[530.02, 170.72, 565.05, 205.31]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.76, 1.88, 43.8]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 1059,
        "data_source": "Mono3DRefer",
        "scene_name": "005713",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[594.98, 177.0, 625.69, 207.34]], \"boxes_3d\": [[1.65, 1.67, 3.64, 0.03, 1.9, 41.44]], \"ry\": [-1.55]}\n```"
            }
        ]
    },
    {
        "id": 1060,
        "data_source": "Mono3DRefer",
        "scene_name": "005716",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.88, 1.8, 1.76, 1.68], \"boxes_2d\": [[565.33, 175.42, 594.26, 193.52], [358.32, 166.3, 504.92, 281.1], [454.44, 187.17, 528.31, 239.57], [520.68, 178.2, 556.95, 211.66]], \"boxes_3d\": [[1.56, 1.56, 3.6, -2.68, 1.81, 64.46], [1.97, 1.87, 4.53, -3.47, 1.89, 14.78], [1.47, 1.62, 3.79, -3.7, 1.95, 22.85], [1.7, 1.53, 3.82, -3.83, 2.01, 38.99]], \"ry\": [1.84, 1.57, 1.6, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 1061,
        "data_source": "Mono3DRefer",
        "scene_name": "005720",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.55, -1.79, -1.79, -1.69, -1.63], \"boxes_2d\": [[651.01, 178.38, 675.58, 201.47], [746.73, 165.7, 870.86, 273.32], [804.83, 188.4, 1023.41, 348.42], [711.99, 176.85, 775.63, 231.93], [700.81, 182.37, 736.53, 212.59]], \"boxes_3d\": [[1.54, 1.63, 3.67, 3.74, 1.94, 50.56], [1.88, 1.57, 3.71, 3.82, 1.79, 14.58], [1.5, 1.56, 3.69, 3.41, 1.72, 8.9], [1.7, 1.62, 3.76, 4.4, 1.85, 24.35], [1.4, 1.53, 3.56, 5.32, 1.89, 35.84]], \"ry\": [-1.48, -1.54, -1.43, -1.52, -1.48]}\n```"
            }
        ]
    },
    {
        "id": 1062,
        "data_source": "Mono3DRefer",
        "scene_name": "005734",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.93, 2.14, 1.7, 2.35, -1.56], \"boxes_2d\": [[28.99, 180.6, 134.87, 225.12], [123.57, 179.74, 222.66, 217.38], [471.89, 182.18, 534.06, 224.86], [0.0, 167.6, 239.16, 374.0], [589.75, 174.88, 628.33, 213.31]], \"boxes_3d\": [[1.57, 1.57, 3.32, -20.01, 1.88, 27.45], [1.57, 1.2, 5.24, -19.82, 1.89, 32.96], [1.41, 1.69, 4.36, -3.87, 1.77, 26.49], [1.72, 1.66, 4.32, -3.75, 1.71, 3.46], [1.62, 1.63, 4.5, -0.07, 1.74, 33.02]], \"ry\": [-1.56, 1.61, 1.56, 1.56, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 1063,
        "data_source": "Mono3DRefer",
        "scene_name": "005752",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.63, -1.25, -1.56], \"boxes_2d\": [[545.95, 180.02, 570.61, 201.91], [357.3, 183.33, 389.16, 202.24], [584.33, 179.73, 621.78, 217.03]], \"boxes_3d\": [[1.66, 1.67, 4.49, -4.11, 2.24, 57.6], [1.56, 1.72, 3.09, -20.39, 2.48, 62.2], [1.62, 1.63, 4.5, -0.34, 1.96, 33.95]], \"ry\": [1.56, -1.57, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 1064,
        "data_source": "Mono3DRefer",
        "scene_name": "005753",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.71], \"boxes_2d\": [[618.68, 175.95, 648.15, 195.36]], \"boxes_3d\": [[1.44, 1.68, 4.39, 1.84, 1.7, 56.13]], \"ry\": [1.74]}\n```"
            }
        ]
    },
    {
        "id": 1065,
        "data_source": "Mono3DRefer",
        "scene_name": "005768",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-0.47], \"boxes_2d\": [[638.8, 188.15, 1061.82, 336.76]], \"boxes_3d\": [[1.45, 1.68, 4.53, 2.7, 1.67, 8.62]], \"ry\": [-0.18]}\n```"
            }
        ]
    },
    {
        "id": 1066,
        "data_source": "Mono3DRefer",
        "scene_name": "005774",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.88, -1.06, 1.71, -1.18, 1.94, 1.64, -1.54], \"boxes_2d\": [[243.36, 171.66, 456.35, 309.38], [166.46, 179.87, 236.52, 213.07], [487.19, 177.53, 538.69, 214.86], [318.92, 175.8, 358.01, 197.76], [341.65, 170.37, 380.85, 190.83], [534.03, 173.39, 563.14, 199.92], [584.99, 173.97, 622.61, 211.13]], \"boxes_3d\": [[1.66, 1.67, 4.49, -3.7, 1.68, 11.05], [1.56, 1.72, 3.09, -20.24, 1.92, 35.82], [1.46, 1.59, 4.12, -4.08, 1.67, 30.58], [1.57, 1.57, 3.32, -20.26, 1.81, 53.9], [1.57, 1.2, 5.24, -20.11, 1.41, 58.48], [1.72, 1.66, 4.32, -4.19, 1.79, 49.47], [1.62, 1.63, 4.5, -0.27, 1.7, 34.06]], \"ry\": [1.56, -1.57, 1.58, -1.54, 1.61, 1.56, -1.55]}\n```"
            }
        ]
    },
    {
        "id": 1067,
        "data_source": "Mono3DRefer",
        "scene_name": "005778",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.62, -2.63, -2.86, -2.97, -0.88], \"boxes_2d\": [[776.35, 150.41, 1162.94, 308.93], [0.0, 196.03, 287.15, 302.54], [214.4, 189.49, 379.35, 251.68], [361.61, 184.12, 456.46, 219.96], [1041.09, 182.72, 1241.0, 374.0]], \"boxes_3d\": [[1.85, 1.68, 4.34, 4.56, 1.6, 9.58], [1.43, 1.56, 3.85, -7.28, 1.83, 11.06], [1.42, 1.62, 3.5, -7.84, 1.88, 18.23], [1.41, 1.54, 3.6, -8.38, 1.9, 30.18], [1.49, 1.66, 4.16, 5.31, 1.55, 4.68]], \"ry\": [3.05, 3.08, 3.02, 3.04, -0.06]}\n```"
            }
        ]
    },
    {
        "id": 1068,
        "data_source": "Mono3DRefer",
        "scene_name": "005788",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.48, 2.18, 2.04, -1.72, 1.78, -1.61], \"boxes_2d\": [[688.59, 183.2, 719.38, 208.7], [107.57, 194.69, 332.42, 305.08], [279.47, 176.19, 424.55, 268.22], [715.67, 182.71, 795.41, 243.42], [650.8, 183.18, 683.67, 204.96], [721.95, 169.71, 770.2, 232.13]], \"boxes_3d\": [[1.54, 1.63, 3.67, 6.06, 2.23, 46.39], [1.56, 1.59, 3.69, -6.61, 1.99, 12.62], [1.93, 1.59, 4.01, -6.02, 2.03, 17.25], [1.58, 1.67, 3.84, 4.1, 1.89, 21.07], [1.53, 1.67, 3.78, 4.26, 2.31, 53.47], [2.05, 1.5, 3.83, 4.76, 1.98, 25.75]], \"ry\": [-1.35, 1.7, 1.71, -1.53, 1.86, -1.43]}\n```"
            }
        ]
    },
    {
        "id": 1069,
        "data_source": "Mono3DRefer",
        "scene_name": "005805",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.65], \"boxes_2d\": [[652.14, 183.67, 683.48, 208.32]], \"boxes_3d\": [[1.41, 1.58, 4.36, 3.49, 2.09, 44.47]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 1070,
        "data_source": "Mono3DRefer",
        "scene_name": "005809",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.95], \"boxes_2d\": [[137.45, 192.13, 456.93, 373.43]], \"boxes_3d\": [[1.44, 1.68, 4.39, -3.15, 1.7, 8.25]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 1071,
        "data_source": "Mono3DRefer",
        "scene_name": "005821",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.01, 1.69], \"boxes_2d\": [[0.0, 206.06, 363.26, 374.0], [499.08, 182.83, 554.34, 222.05]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.71, 1.78, 6.82], [1.46, 1.75, 4.23, -3.37, 1.89, 29.61]], \"ry\": [1.53, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 1072,
        "data_source": "Mono3DRefer",
        "scene_name": "005823",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.66, 1.83], \"boxes_2d\": [[519.6, 181.7, 555.36, 210.87], [357.29, 182.31, 485.27, 274.32]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.85, 1.94, 38.54], [1.65, 1.56, 3.98, -3.82, 1.86, 15.1]], \"ry\": [1.56, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 1073,
        "data_source": "Mono3DRefer",
        "scene_name": "005829",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.17, 1.87, 1.71, 1.69, -1.62], \"boxes_2d\": [[752.68, 140.24, 1004.25, 297.51], [244.28, 195.26, 426.5, 314.58], [412.92, 189.48, 489.95, 243.04], [453.25, 175.8, 513.27, 225.24], [591.93, 173.76, 621.62, 200.29]], \"boxes_3d\": [[1.79, 1.72, 4.35, 3.49, 1.44, 10.48], [1.45, 1.49, 4.07, -4.14, 1.85, 11.42], [1.27, 1.54, 3.58, -4.28, 1.75, 19.73], [1.63, 1.65, 3.91, -4.53, 1.76, 26.07], [1.46, 1.53, 3.17, -0.25, 1.54, 41.74]], \"ry\": [1.49, 1.52, 1.5, 1.52, -1.63]}\n```"
            }
        ]
    },
    {
        "id": 1074,
        "data_source": "Mono3DRefer",
        "scene_name": "005833",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.23, -1.56, 1.7, -1.15, 1.66], \"boxes_2d\": [[363.49, 180.01, 394.51, 198.62], [586.19, 175.8, 623.41, 212.88], [479.58, 174.91, 539.02, 222.74], [262.4, 181.94, 312.13, 208.14], [531.34, 179.2, 561.7, 202.7]], \"boxes_3d\": [[1.57, 1.57, 3.32, -20.25, 2.21, 63.32], [1.62, 1.63, 4.5, -0.25, 1.78, 34.14], [1.66, 1.67, 4.49, -3.79, 1.77, 27.58], [1.56, 1.72, 3.09, -20.18, 2.14, 45.16], [1.46, 1.59, 4.12, -4.15, 1.89, 47.37]], \"ry\": [-1.54, -1.57, 1.56, -1.57, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 1075,
        "data_source": "Mono3DRefer",
        "scene_name": "005842",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.52, 1.66, 1.63, -1.38, -1.97, -0.74], \"boxes_2d\": [[906.51, 146.5, 1241.0, 246.56], [577.99, 168.76, 621.69, 205.41], [628.41, 166.53, 650.53, 183.72], [512.71, 170.56, 595.87, 233.0], [0.0, 233.22, 124.91, 321.47], [1122.31, 139.29, 1241.0, 278.63]], \"boxes_3d\": [[1.47, 1.52, 4.43, 7.28, 1.1, 11.63], [1.6, 1.68, 3.94, -0.45, 1.44, 33.69], [1.42, 1.66, 4.11, 2.57, 0.92, 62.45], [1.77, 1.75, 4.67, -1.68, 1.73, 22.89], [1.72, 1.39, 3.07, -13.0, 3.23, 16.94], [1.48, 1.63, 3.98, 8.54, 1.11, 8.42]], \"ry\": [0.03, 1.65, 1.67, -1.46, -2.62, 0.03]}\n```"
            }
        ]
    },
    {
        "id": 1076,
        "data_source": "Mono3DRefer",
        "scene_name": "005845",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.12, -1.06], \"boxes_2d\": [[149.83, 199.6, 235.11, 235.87], [83.01, 198.32, 176.54, 237.07]], \"boxes_3d\": [[1.42, 1.7, 4.14, -18.96, 2.7, 32.91], [1.52, 1.71, 4.11, -21.67, 2.74, 32.71]], \"ry\": [-1.64, -1.64]}\n```"
            }
        ]
    },
    {
        "id": 1077,
        "data_source": "Mono3DRefer",
        "scene_name": "005847",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.24, -2.34, -2.72, -2.9], \"boxes_2d\": [[1037.44, 98.98, 1241.0, 374.0], [0.0, 213.55, 96.44, 374.0], [92.2, 197.76, 334.3, 286.74], [343.97, 185.45, 459.71, 228.66]], \"boxes_3d\": [[1.85, 1.68, 4.34, 4.98, 1.5, 3.98], [1.43, 1.56, 3.85, -6.84, 1.83, 6.03], [1.42, 1.62, 3.5, -7.11, 1.92, 13.13], [1.41, 1.54, 3.6, -7.23, 1.87, 25.14]], \"ry\": [3.1, 3.12, 3.07, 3.1]}\n```"
            }
        ]
    },
    {
        "id": 1078,
        "data_source": "Mono3DRefer",
        "scene_name": "005851",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.54], \"boxes_2d\": [[390.06, 192.98, 429.51, 230.07]], \"boxes_3d\": [[1.65, 1.75, 3.39, -9.88, 2.67, 35.35]], \"ry\": [1.27]}\n```"
            }
        ]
    },
    {
        "id": 1079,
        "data_source": "Mono3DRefer",
        "scene_name": "005854",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.78], \"boxes_2d\": [[342.91, 191.45, 506.77, 303.07]], \"boxes_3d\": [[1.46, 1.75, 4.23, -2.92, 1.82, 12.12]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 1080,
        "data_source": "Mono3DRefer",
        "scene_name": "005860",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.53, -1.76, -1.73, -1.68, -1.61], \"boxes_2d\": [[659.5, 178.82, 685.37, 202.1], [739.74, 168.08, 839.58, 257.25], [776.98, 185.34, 923.77, 299.82], [715.56, 176.77, 771.77, 226.12], [707.92, 182.32, 740.49, 210.4]], \"boxes_3d\": [[1.54, 1.63, 3.67, 4.35, 1.97, 50.12], [1.88, 1.57, 3.71, 4.12, 1.81, 17.21], [1.5, 1.56, 3.69, 3.62, 1.72, 11.57], [1.7, 1.62, 3.76, 4.89, 1.87, 26.95], [1.4, 1.53, 3.56, 6.01, 1.92, 38.43]], \"ry\": [-1.44, -1.53, -1.43, -1.5, -1.46]}\n```"
            }
        ]
    },
    {
        "id": 1081,
        "data_source": "Mono3DRefer",
        "scene_name": "005871",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.48, 2.24, 2.08, -1.73, 1.77, -1.64], \"boxes_2d\": [[689.55, 185.3, 720.4, 210.89], [3.11, 196.35, 287.74, 329.4], [227.96, 176.3, 398.6, 280.92], [718.5, 185.49, 806.6, 252.84], [640.53, 186.68, 675.43, 210.52], [721.09, 172.29, 775.95, 239.52]], \"boxes_3d\": [[1.54, 1.63, 3.67, 6.13, 2.37, 46.49], [1.56, 1.59, 3.69, -6.7, 1.96, 10.85], [1.93, 1.59, 4.01, -6.17, 2.02, 15.42], [1.58, 1.67, 3.84, 3.93, 1.94, 19.33], [1.53, 1.67, 3.78, 3.31, 2.5, 49.51], [2.05, 1.5, 3.83, 4.51, 2.06, 24.05]], \"ry\": [-1.35, 1.7, 1.7, -1.53, 1.83, -1.45]}\n```"
            }
        ]
    },
    {
        "id": 1082,
        "data_source": "Mono3DRefer",
        "scene_name": "005884",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.69, 1.63, -1.34, -0.81], \"boxes_2d\": [[535.27, 165.72, 590.08, 209.97], [597.37, 165.53, 621.4, 184.37], [437.74, 165.04, 555.64, 250.28], [1077.66, 122.42, 1241.0, 308.94]], \"boxes_3d\": [[1.6, 1.68, 3.94, -1.81, 1.36, 28.25], [1.42, 1.66, 4.11, -0.03, 0.89, 57.14], [1.77, 1.75, 4.67, -2.59, 1.64, 17.4], [1.47, 1.52, 4.43, 6.86, 1.06, 6.47]], \"ry\": [1.62, 1.63, -1.49, -0.02]}\n```"
            }
        ]
    },
    {
        "id": 1083,
        "data_source": "Mono3DRefer",
        "scene_name": "005885",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.89, -1.8, 1.62, -1.68, 1.63], \"boxes_2d\": [[764.11, 191.63, 1013.31, 356.61], [706.62, 181.61, 842.33, 276.23], [496.08, 181.11, 543.39, 226.64], [654.88, 183.19, 699.53, 217.67], [526.7, 182.15, 560.69, 207.77]], \"boxes_3d\": [[1.51, 1.56, 3.81, 3.04, 1.78, 8.83], [1.57, 1.68, 3.83, 3.0, 1.76, 14.11], [1.52, 1.5, 3.85, -3.26, 1.83, 26.27], [1.43, 1.59, 3.68, 2.92, 1.9, 32.34], [1.29, 1.59, 4.12, -3.59, 1.81, 39.25]], \"ry\": [-1.57, -1.59, 1.5, -1.59, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 1084,
        "data_source": "Mono3DRefer",
        "scene_name": "005901",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.89, -2.5, 0.57, -2.68, -2.72, -1.74, 0.26, -1.7, -2.93, -2.94, -1.65], \"boxes_2d\": [[705.93, 189.12, 855.05, 284.64], [0.0, 194.48, 281.46, 330.2], [50.51, 187.48, 337.69, 294.42], [116.68, 190.51, 365.54, 276.35], [208.49, 186.66, 407.25, 260.89], [651.65, 183.89, 727.38, 235.22], [378.18, 184.11, 503.94, 227.12], [644.43, 182.19, 690.79, 213.99], [391.71, 182.17, 490.71, 222.71], [408.9, 174.11, 491.57, 215.32], [630.14, 174.8, 658.28, 200.12]], \"boxes_3d\": [[1.41, 1.51, 3.45, 2.82, 1.72, 12.82], [1.44, 1.64, 4.01, -6.42, 1.74, 8.76], [1.52, 1.54, 3.63, -6.4, 1.77, 11.24], [1.43, 1.6, 3.78, -6.74, 1.79, 13.35], [1.48, 1.59, 3.64, -6.5, 1.81, 15.64], [1.42, 1.63, 4.15, 2.35, 1.79, 22.6], [1.47, 1.65, 4.15, -6.11, 1.9, 26.21], [1.35, 1.58, 4.05, 2.57, 1.8, 33.36], [1.53, 1.5, 3.61, -6.73, 1.93, 28.83], [1.7, 1.61, 3.21, -6.88, 1.78, 31.12], [1.76, 1.71, 4.35, 2.44, 1.93, 52.81]], \"ry\": [-1.68, -3.12, 0.07, 3.14, -3.1, -1.64, 0.03, -1.63, 3.12, 3.13, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 1085,
        "data_source": "Mono3DRefer",
        "scene_name": "005920",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, 1.84, -1.55], \"boxes_2d\": [[595.08, 183.24, 649.48, 227.88], [422.95, 180.68, 460.51, 203.35], [580.98, 179.74, 619.18, 214.59]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.35, 1.73, 24.25], [1.59, 1.72, 3.86, -12.36, 2.18, 53.13], [1.52, 1.67, 3.61, -0.45, 1.85, 33.54]], \"ry\": [-1.57, 1.61, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 1086,
        "data_source": "Mono3DRefer",
        "scene_name": "005930",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.61], \"boxes_2d\": [[452.53, 189.5, 505.85, 239.63]], \"boxes_3d\": [[1.65, 1.75, 3.39, -4.75, 2.29, 26.36]], \"ry\": [1.44]}\n```"
            }
        ]
    },
    {
        "id": 1087,
        "data_source": "Mono3DRefer",
        "scene_name": "005941",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.66], \"boxes_2d\": [[522.94, 182.65, 561.84, 212.67]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.67, 2.07, 39.47]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 1088,
        "data_source": "Mono3DRefer",
        "scene_name": "005955",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.17, 1.47], \"boxes_2d\": [[117.19, 200.33, 444.28, 374.0], [631.88, 183.42, 691.01, 231.76]], \"boxes_3d\": [[1.4, 1.67, 3.72, -3.1, 1.75, 7.59], [1.49, 1.61, 3.74, 1.64, 1.86, 24.54]], \"ry\": [-1.55, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 1089,
        "data_source": "Mono3DRefer",
        "scene_name": "005956",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.48], \"boxes_2d\": [[731.85, 184.44, 898.26, 330.53]], \"boxes_3d\": [[1.57, 1.73, 4.15, 2.57, 1.76, 10.08]], \"ry\": [1.73]}\n```"
            }
        ]
    },
    {
        "id": 1090,
        "data_source": "Mono3DRefer",
        "scene_name": "005967",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.8, -2.87, -1.81, -2.92, -2.94], \"boxes_2d\": [[290.05, 171.95, 452.72, 247.73], [342.75, 178.04, 482.44, 232.81], [797.25, 158.53, 861.02, 201.3], [388.8, 179.6, 502.32, 219.2], [416.24, 174.03, 521.81, 213.38]], \"boxes_3d\": [[1.86, 1.69, 3.69, -6.21, 1.87, 18.92], [1.68, 1.69, 4.07, -6.39, 1.87, 23.5], [2.04, 1.99, 4.82, 11.14, 1.38, 37.11], [1.48, 1.56, 4.12, -6.47, 1.77, 28.5], [1.74, 1.75, 4.57, -6.55, 1.83, 33.68]], \"ry\": [-3.12, -3.13, -1.52, 3.14, -3.13]}\n```"
            }
        ]
    },
    {
        "id": 1091,
        "data_source": "Mono3DRefer",
        "scene_name": "005990",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.39, 1.53], \"boxes_2d\": [[0.0, 202.0, 203.28, 374.0], [525.17, 179.93, 552.0, 206.03]], \"boxes_3d\": [[1.7, 1.43, 3.2, -3.18, 1.86, 2.68], [1.68, 1.63, 3.9, -4.91, 2.18, 49.03]], \"ry\": [1.57, 1.43]}\n```"
            }
        ]
    },
    {
        "id": 1092,
        "data_source": "Mono3DRefer",
        "scene_name": "005993",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.54], \"boxes_2d\": [[542.15, 187.44, 571.87, 217.78]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.24, 2.58, 43.29]], \"ry\": [1.46]}\n```"
            }
        ]
    },
    {
        "id": 1093,
        "data_source": "Mono3DRefer",
        "scene_name": "006003",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.99, 2.19, 1.91, 1.67, 1.84, 1.75, -1.62, 2.97], \"boxes_2d\": [[796.74, 177.46, 1233.37, 374.0], [0.0, 209.3, 252.64, 374.0], [277.0, 179.06, 412.99, 264.72], [532.42, 179.56, 568.89, 204.22], [371.87, 180.4, 457.22, 235.45], [448.51, 183.28, 499.25, 215.99], [635.41, 174.46, 659.61, 195.4], [697.34, 167.83, 770.89, 190.79]], \"boxes_3d\": [[1.51, 1.75, 3.78, 2.99, 1.57, 6.41], [1.36, 1.51, 4.02, -6.11, 1.89, 8.65], [1.74, 1.65, 4.11, -6.03, 1.89, 16.83], [1.41, 1.76, 4.4, -3.58, 1.83, 43.88], [1.61, 1.64, 4.0, -6.24, 1.86, 23.31], [1.43, 1.7, 3.74, -6.41, 1.94, 34.17], [1.55, 1.66, 4.15, 2.86, 1.7, 55.95], [1.47, 1.7, 4.65, 8.32, 1.17, 48.71]], \"ry\": [-1.57, 1.58, 1.57, 1.59, 1.58, 1.57, -1.57, 3.13]}\n```"
            }
        ]
    },
    {
        "id": 1094,
        "data_source": "Mono3DRefer",
        "scene_name": "006021",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.59, 1.77], \"boxes_2d\": [[688.5, 171.45, 844.08, 240.82], [386.5, 195.34, 547.03, 325.13]], \"boxes_3d\": [[1.62, 1.47, 3.66, 3.94, 1.6, 18.38], [1.38, 1.43, 3.64, -1.83, 1.74, 10.0]], \"ry\": [-0.38, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 1095,
        "data_source": "Mono3DRefer",
        "scene_name": "006022",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [3.06, -1.62, 1.68], \"boxes_2d\": [[488.6, 176.73, 748.49, 265.57], [543.44, 184.37, 570.85, 208.65], [448.24, 188.15, 482.79, 212.62]], \"boxes_3d\": [[1.47, 1.77, 4.49, 0.07, 1.57, 13.34], [1.52, 1.62, 4.5, -3.61, 2.31, 48.47], [1.42, 1.66, 4.5, -9.19, 2.43, 46.05]], \"ry\": [3.07, -1.69, 1.48]}\n```"
            }
        ]
    },
    {
        "id": 1096,
        "data_source": "Mono3DRefer",
        "scene_name": "006030",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-3.14, -0.78], \"boxes_2d\": [[930.38, 183.43, 1096.8, 240.04], [704.31, 201.57, 783.27, 231.54]], \"boxes_3d\": [[1.54, 1.68, 4.16, 11.87, 1.88, 21.51], [1.37, 1.56, 4.19, 7.05, 2.95, 38.0]], \"ry\": [-2.64, -0.6]}\n```"
            }
        ]
    },
    {
        "id": 1097,
        "data_source": "Mono3DRefer",
        "scene_name": "006040",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.61, 2.17, 2.42, 2.07, -0.59], \"boxes_2d\": [[724.03, 171.48, 796.27, 237.24], [113.53, 173.48, 413.73, 347.6], [0.0, 192.03, 193.7, 322.96], [391.11, 184.63, 509.79, 236.37], [886.99, 161.48, 969.95, 191.7]], \"boxes_3d\": [[1.56, 1.65, 3.69, 3.83, 1.55, 19.04], [1.76, 1.58, 3.68, -4.14, 1.79, 9.24], [1.56, 1.62, 4.19, -8.2, 1.88, 10.16], [1.42, 1.67, 4.53, -4.92, 1.82, 22.77], [1.54, 1.63, 3.74, 16.89, 0.97, 38.38]], \"ry\": [-1.42, 1.76, 1.75, 1.86, -0.18]}\n```"
            }
        ]
    },
    {
        "id": 1098,
        "data_source": "Mono3DRefer",
        "scene_name": "006050",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.1, 1.89, -1.78, 1.76, -1.74, 1.69], \"boxes_2d\": [[0.0, 198.26, 393.11, 374.0], [274.48, 171.48, 486.58, 316.38], [712.86, 185.68, 808.69, 246.67], [460.78, 179.44, 548.05, 248.66], [688.4, 174.43, 763.85, 229.63], [504.42, 180.75, 560.15, 233.03]], \"boxes_3d\": [[1.44, 1.64, 3.78, -3.54, 1.73, 6.68], [1.77, 1.71, 4.28, -3.24, 1.79, 11.02], [1.45, 1.71, 3.93, 3.94, 1.82, 19.67], [1.73, 1.65, 3.96, -2.87, 1.92, 20.12], [1.78, 1.89, 4.37, 3.99, 1.86, 25.68], [1.68, 1.51, 3.29, -2.67, 1.96, 25.01]], \"ry\": [1.63, 1.61, -1.59, 1.62, -1.59, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 1099,
        "data_source": "Mono3DRefer",
        "scene_name": "006104",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.66], \"boxes_2d\": [[530.93, 181.36, 566.94, 207.34]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.62, 1.97, 43.0]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 1100,
        "data_source": "Mono3DRefer",
        "scene_name": "006105",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.56, 1.45], \"boxes_2d\": [[512.15, 178.6, 548.32, 215.94], [485.62, 182.01, 519.12, 204.98]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.91, 1.98, 34.88], [1.47, 1.7, 4.39, -7.37, 2.1, 48.99]], \"ry\": [1.45, 1.3]}\n```"
            }
        ]
    },
    {
        "id": 1101,
        "data_source": "Mono3DRefer",
        "scene_name": "006120",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.87], \"boxes_2d\": [[258.92, 181.86, 437.49, 300.48]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.35, 1.87, 12.57]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 1102,
        "data_source": "Mono3DRefer",
        "scene_name": "006126",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.87, 1.4, 1.58, -2.1, -1.84], \"boxes_2d\": [[384.13, 179.51, 466.67, 216.25], [676.16, 167.65, 714.78, 197.0], [563.71, 178.0, 587.46, 201.02], [818.29, 185.3, 1241.0, 374.0], [711.02, 183.38, 898.76, 315.03]], \"boxes_3d\": [[1.61, 1.57, 3.35, -8.45, 1.94, 33.07], [1.79, 1.72, 4.35, 5.44, 1.5, 46.57], [1.45, 1.49, 4.07, -2.29, 1.8, 47.9], [1.6, 1.53, 4.18, 2.78, 1.7, 4.83], [1.56, 1.57, 3.98, 2.61, 1.74, 10.76]], \"ry\": [-3.12, 1.51, 1.53, -1.6, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 1103,
        "data_source": "Mono3DRefer",
        "scene_name": "006128",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.75, 1.68], \"boxes_2d\": [[412.14, 175.48, 521.7, 265.77], [526.22, 184.95, 559.67, 216.12]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.47, 2.06, 18.18], [1.7, 1.53, 3.82, -3.91, 2.43, 42.28]], \"ry\": [1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 1104,
        "data_source": "Mono3DRefer",
        "scene_name": "006131",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.92], \"boxes_2d\": [[389.48, 177.76, 476.48, 211.08]], \"boxes_3d\": [[1.49, 1.64, 3.7, -8.33, 1.75, 34.0]], \"ry\": [3.13]}\n```"
            }
        ]
    },
    {
        "id": 1105,
        "data_source": "Mono3DRefer",
        "scene_name": "006140",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.66, 1.66], \"boxes_2d\": [[494.35, 180.82, 551.09, 233.46], [547.28, 186.22, 572.64, 210.6]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.52, 2.31, 29.6], [1.7, 1.53, 3.82, -3.71, 2.72, 53.74]], \"ry\": [1.55, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 1106,
        "data_source": "Mono3DRefer",
        "scene_name": "006146",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.31, -1.89, -2.85, 1.39, 1.58], \"boxes_2d\": [[902.1, 189.62, 1241.0, 374.0], [732.13, 184.04, 981.66, 352.15], [371.92, 178.46, 459.84, 217.42], [681.86, 167.06, 722.46, 197.69], [564.83, 179.05, 589.67, 203.14]], \"boxes_3d\": [[1.6, 1.53, 4.18, 2.79, 1.7, 2.89], [1.56, 1.57, 3.98, 2.66, 1.72, 8.88], [1.61, 1.57, 3.35, -8.39, 1.87, 31.22], [1.79, 1.72, 4.35, 5.63, 1.48, 44.72], [1.45, 1.49, 4.07, -2.08, 1.85, 45.88]], \"ry\": [-1.6, -1.61, -3.11, 1.52, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 1107,
        "data_source": "Mono3DRefer",
        "scene_name": "006147",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.83, 1.71, 1.93, 1.87, 2.33], \"boxes_2d\": [[728.78, 187.46, 949.01, 330.02], [486.55, 182.8, 535.06, 215.27], [257.83, 194.77, 422.98, 291.6], [361.96, 189.0, 472.29, 255.25], [0.0, 228.54, 201.75, 374.0]], \"boxes_3d\": [[1.41, 1.64, 3.77, 2.62, 1.63, 9.31], [1.43, 1.76, 3.97, -4.71, 1.93, 34.54], [1.49, 1.61, 3.94, -4.96, 1.95, 13.74], [1.48, 1.66, 3.9, -4.91, 1.93, 18.75], [1.31, 1.58, 4.23, -5.39, 1.91, 5.83]], \"ry\": [-1.57, 1.57, 1.59, 1.62, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 1108,
        "data_source": "Mono3DRefer",
        "scene_name": "006155",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.74, 1.74, 1.86, 1.83, 2.07], \"boxes_2d\": [[680.22, 189.59, 800.0, 275.75], [487.42, 189.01, 531.91, 217.99], [345.08, 195.9, 454.41, 265.14], [404.36, 191.66, 486.31, 243.51], [62.0, 211.17, 340.29, 341.36]], \"boxes_3d\": [[1.41, 1.64, 3.77, 2.38, 1.78, 14.28], [1.43, 1.76, 3.97, -5.44, 2.35, 39.31], [1.49, 1.61, 3.94, -5.29, 2.13, 18.51], [1.48, 1.66, 3.9, -5.32, 2.14, 23.63], [1.31, 1.58, 4.23, -5.56, 1.96, 10.44]], \"ry\": [-1.58, 1.6, 1.58, 1.61, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 1109,
        "data_source": "Mono3DRefer",
        "scene_name": "006159",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.29, -2.76, -2.18, -2.35, 0.5], \"boxes_2d\": [[0.0, 199.4, 124.08, 374.0], [0.0, 192.18, 327.83, 300.19], [1030.14, 150.29, 1241.0, 265.62], [1152.04, 148.78, 1241.0, 253.82], [189.97, 183.03, 388.05, 244.51]], \"boxes_3d\": [[1.47, 1.67, 4.28, -6.49, 1.72, 5.54], [1.38, 1.67, 4.37, -6.75, 1.71, 10.77], [1.54, 1.44, 2.54, 7.83, 1.26, 10.99], [1.59, 1.8, 3.41, 10.39, 1.22, 10.91], [1.42, 1.41, 4.3, -7.86, 1.69, 17.73]], \"ry\": [-3.13, 2.98, -1.58, -1.6, 0.08]}\n```"
            }
        ]
    },
    {
        "id": 1110,
        "data_source": "Mono3DRefer",
        "scene_name": "006181",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.18, 1.61], \"boxes_2d\": [[0.0, 216.23, 341.61, 374.0], [539.74, 167.27, 570.24, 197.89]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.06, 1.77, 3.88], [1.97, 1.87, 4.53, -3.72, 1.64, 49.18]], \"ry\": [1.55, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 1111,
        "data_source": "Mono3DRefer",
        "scene_name": "006187",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.34, -2.51, 0.58, 0.49, -1.81, 0.36, -1.65, -2.96, -2.98], \"boxes_2d\": [[0.0, 204.64, 177.98, 374.0], [0.0, 192.33, 321.69, 328.55], [25.16, 194.7, 349.68, 291.03], [186.59, 184.43, 385.8, 268.22], [711.71, 181.47, 875.67, 288.35], [369.01, 178.5, 496.15, 227.66], [670.82, 174.23, 722.02, 215.83], [404.57, 179.55, 509.9, 215.0], [445.02, 176.45, 523.04, 207.29]], \"boxes_3d\": [[1.49, 1.59, 4.44, -6.57, 1.82, 6.39], [1.48, 1.63, 4.1, -5.99, 1.76, 8.93], [1.39, 1.6, 4.35, -6.69, 1.77, 11.58], [1.52, 1.48, 3.23, -6.29, 1.77, 14.1], [1.41, 1.56, 4.08, 2.71, 1.57, 11.74], [1.52, 1.64, 3.65, -5.75, 1.72, 23.42], [1.43, 1.58, 3.37, 3.11, 1.5, 26.75], [1.41, 1.53, 4.11, -6.4, 1.71, 30.31], [1.46, 1.57, 3.6, -6.25, 1.66, 35.86]], \"ry\": [-3.12, -3.09, 0.07, 0.07, -1.59, 0.12, -1.54, 3.12, 3.13]}\n```"
            }
        ]
    },
    {
        "id": 1112,
        "data_source": "Mono3DRefer",
        "scene_name": "006207",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.72], \"boxes_2d\": [[458.25, 185.73, 531.58, 236.93]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.62, 1.88, 23.11]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 1113,
        "data_source": "Mono3DRefer",
        "scene_name": "006214",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.82], \"boxes_2d\": [[505.53, 175.38, 564.53, 205.52]], \"boxes_3d\": [[1.37, 1.78, 4.65, -3.63, 1.52, 35.51]], \"ry\": [1.72]}\n```"
            }
        ]
    },
    {
        "id": 1114,
        "data_source": "Mono3DRefer",
        "scene_name": "006216",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.65, 1.66], \"boxes_2d\": [[506.66, 169.14, 555.74, 215.8], [549.66, 175.74, 573.34, 198.19]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.56, 1.85, 33.06], [1.7, 1.53, 3.82, -3.83, 1.95, 57.18]], \"ry\": [1.54, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 1115,
        "data_source": "Mono3DRefer",
        "scene_name": "006223",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.84], \"boxes_2d\": [[326.49, 193.32, 489.67, 298.86]], \"boxes_3d\": [[1.44, 1.7, 3.65, -3.27, 1.83, 12.25]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 1116,
        "data_source": "Mono3DRefer",
        "scene_name": "006239",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.81], \"boxes_2d\": [[341.31, 188.06, 504.26, 287.38]], \"boxes_3d\": [[1.48, 1.87, 4.42, -3.28, 1.8, 13.43]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 1117,
        "data_source": "Mono3DRefer",
        "scene_name": "006262",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.34, -2.42, -1.5, -1.6, 1.93], \"boxes_2d\": [[460.69, 184.74, 543.21, 222.04], [484.67, 185.81, 561.44, 213.02], [581.95, 184.03, 629.99, 225.17], [596.57, 188.79, 676.63, 255.72], [310.34, 186.7, 383.11, 226.61]], \"boxes_3d\": [[1.59, 1.63, 3.64, -4.98, 2.15, 32.83], [1.39, 1.61, 4.09, -4.79, 2.12, 39.29], [1.52, 1.67, 3.61, -0.14, 1.98, 29.0], [1.36, 1.69, 3.38, 0.52, 1.77, 17.02], [1.59, 1.72, 3.86, -11.46, 2.22, 31.58]], \"ry\": [-2.49, -2.54, -1.51, -1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 1118,
        "data_source": "Mono3DRefer",
        "scene_name": "006263",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.03, -1.76, 1.91, 1.8, 1.77, -1.61], \"boxes_2d\": [[118.13, 200.07, 327.37, 310.69], [699.66, 174.85, 820.16, 257.4], [295.07, 192.88, 418.59, 260.65], [404.39, 178.97, 478.32, 232.65], [445.38, 182.16, 500.58, 221.15], [637.12, 176.03, 657.9, 194.08]], \"boxes_3d\": [[1.42, 1.54, 3.5, -6.09, 1.92, 11.73], [1.51, 1.75, 3.78, 2.97, 1.58, 15.27], [1.36, 1.51, 4.02, -5.98, 1.89, 17.39], [1.74, 1.65, 4.11, -5.92, 1.97, 25.63], [1.61, 1.64, 4.0, -6.09, 2.04, 32.28], [1.55, 1.66, 4.15, 3.32, 1.85, 64.57]], \"ry\": [1.56, -1.57, 1.58, 1.57, 1.59, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 1119,
        "data_source": "Mono3DRefer",
        "scene_name": "006278",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.74, 1.75, -1.12], \"boxes_2d\": [[354.98, 183.69, 509.58, 296.77], [487.29, 170.52, 568.76, 229.55], [641.73, 171.74, 689.99, 202.4]], \"boxes_3d\": [[1.46, 1.63, 4.47, -2.72, 1.66, 11.84], [1.7, 1.82, 4.45, -2.55, 1.66, 23.15], [1.57, 1.56, 2.62, 2.98, 1.53, 38.53]], \"ry\": [1.52, 1.64, -1.04]}\n```"
            }
        ]
    },
    {
        "id": 1120,
        "data_source": "Mono3DRefer",
        "scene_name": "006283",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.14, 2.09], \"boxes_2d\": [[199.24, 148.55, 266.0, 178.11], [106.03, 153.83, 201.53, 194.17]], \"boxes_3d\": [[1.52, 1.71, 4.11, -20.85, 0.28, 39.98], [1.42, 1.55, 3.45, -17.28, 0.77, 27.45]], \"ry\": [-1.62, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 1121,
        "data_source": "Mono3DRefer",
        "scene_name": "006296",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.21, -1.58, 1.89, 1.85, -1.58], \"boxes_2d\": [[0.0, 200.13, 207.34, 354.3], [614.05, 173.28, 637.51, 195.59], [473.83, 179.79, 519.93, 207.52], [498.12, 172.84, 538.64, 203.73], [656.45, 171.75, 681.25, 195.19]], \"boxes_3d\": [[1.48, 1.61, 3.61, -6.99, 1.88, 9.19], [1.54, 1.63, 3.67, 1.11, 1.6, 52.34], [1.56, 1.59, 3.69, -6.68, 1.98, 42.75], [1.93, 1.59, 4.01, -6.0, 1.96, 47.47], [1.58, 1.67, 3.84, 4.12, 1.54, 51.15]], \"ry\": [1.57, -1.56, 1.74, 1.72, -1.5]}\n```"
            }
        ]
    },
    {
        "id": 1122,
        "data_source": "Mono3DRefer",
        "scene_name": "006309",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.77], \"boxes_2d\": [[456.35, 182.93, 551.77, 244.49]], \"boxes_3d\": [[1.44, 1.68, 4.39, -2.75, 1.73, 19.39]], \"ry\": [1.63]}\n```"
            }
        ]
    },
    {
        "id": 1123,
        "data_source": "Mono3DRefer",
        "scene_name": "006310",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.4, -2.11, -2.01, -0.46, -0.34, 1.69], \"boxes_2d\": [[588.92, 167.06, 650.63, 213.57], [240.56, 205.69, 328.61, 261.06], [120.31, 208.59, 242.21, 277.81], [962.8, 156.25, 1215.42, 234.7], [855.69, 157.89, 1064.93, 220.9], [636.73, 163.86, 674.96, 193.98]], \"boxes_3d\": [[1.77, 1.75, 4.67, 0.46, 1.58, 29.92], [1.72, 1.39, 3.07, -11.33, 2.9, 24.99], [1.46, 1.52, 2.75, -10.5, 2.37, 17.57], [1.48, 1.63, 3.98, 9.57, 1.2, 14.73], [1.47, 1.52, 4.43, 8.57, 1.15, 18.01], [1.6, 1.68, 3.94, 2.6, 1.14, 40.57]], \"ry\": [-1.38, -2.53, -2.55, 0.1, 0.1, 1.75]}\n```"
            }
        ]
    },
    {
        "id": 1124,
        "data_source": "Mono3DRefer",
        "scene_name": "006311",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.7], \"boxes_2d\": [[475.81, 179.19, 526.94, 220.45]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.8, 2.0, 32.12]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 1125,
        "data_source": "Mono3DRefer",
        "scene_name": "006317",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-2.75, 1.36, 1.6], \"boxes_2d\": [[260.07, 175.08, 390.28, 230.79], [688.6, 164.77, 742.24, 203.58], [542.45, 175.67, 573.88, 205.91]], \"boxes_3d\": [[1.61, 1.57, 3.35, -8.69, 1.7, 22.08], [1.79, 1.72, 4.35, 5.12, 1.44, 35.75], [1.45, 1.49, 4.07, -2.64, 1.61, 36.96]], \"ry\": [-3.13, 1.5, 1.52]}\n```"
            }
        ]
    },
    {
        "id": 1126,
        "data_source": "Mono3DRefer",
        "scene_name": "006329",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.51, 2.2, 1.94], \"boxes_2d\": [[922.68, 147.43, 1241.0, 297.73], [0.0, 189.66, 206.25, 374.0], [111.3, 184.93, 369.81, 334.65]], \"boxes_3d\": [[1.71, 1.67, 3.7, 6.19, 1.43, 9.23], [1.64, 1.63, 4.51, -4.43, 1.78, 4.51], [1.6, 1.66, 4.33, -4.84, 1.79, 10.12]], \"ry\": [3.09, 1.45, 1.5]}\n```"
            }
        ]
    },
    {
        "id": 1127,
        "data_source": "Mono3DRefer",
        "scene_name": "006347",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.43], \"boxes_2d\": [[804.94, 177.15, 1056.88, 372.98]], \"boxes_3d\": [[1.57, 1.73, 4.15, 3.13, 1.63, 7.99]], \"ry\": [1.79]}\n```"
            }
        ]
    },
    {
        "id": 1128,
        "data_source": "Mono3DRefer",
        "scene_name": "006348",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.79], \"boxes_2d\": [[360.26, 176.94, 484.27, 260.22]], \"boxes_3d\": [[1.5, 1.62, 4.19, -3.84, 1.61, 15.27]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 1129,
        "data_source": "Mono3DRefer",
        "scene_name": "006350",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.54, 1.12, 1.26, 2.94], \"boxes_2d\": [[579.52, 174.68, 608.81, 201.05], [850.97, 183.5, 1241.0, 374.0], [803.42, 177.16, 906.11, 236.81], [663.68, 170.93, 764.58, 206.58]], \"boxes_3d\": [[1.43, 1.55, 3.91, -0.9, 1.56, 41.47], [1.52, 1.61, 4.23, 3.94, 1.65, 7.46], [1.45, 1.51, 3.7, 6.46, 1.58, 19.53], [1.51, 1.65, 4.21, 4.58, 1.45, 32.32]], \"ry\": [-1.56, 1.59, 1.57, 3.08]}\n```"
            }
        ]
    },
    {
        "id": 1130,
        "data_source": "Mono3DRefer",
        "scene_name": "006374",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.72, -1.93], \"boxes_2d\": [[608.74, 183.7, 684.94, 239.66], [706.41, 165.0, 966.17, 337.93]], \"boxes_3d\": [[1.38, 1.51, 4.1, 0.89, 1.7, 20.33], [1.6, 1.66, 3.55, 2.34, 1.55, 8.57]], \"ry\": [-1.68, -1.67]}\n```"
            }
        ]
    },
    {
        "id": 1131,
        "data_source": "Mono3DRefer",
        "scene_name": "006375",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.57], \"boxes_2d\": [[588.9, 171.86, 625.37, 207.02]], \"boxes_3d\": [[1.6, 1.66, 3.55, -0.17, 1.58, 34.93]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 1132,
        "data_source": "Mono3DRefer",
        "scene_name": "006388",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.69, -2.21, 1.8, -1.53], \"boxes_2d\": [[618.05, 176.04, 675.62, 230.04], [819.46, 167.94, 1241.0, 374.0], [249.02, 198.77, 455.84, 351.9], [474.74, 184.78, 522.6, 231.05]], \"boxes_3d\": [[1.82, 1.65, 3.67, 1.24, 1.96, 26.39], [1.72, 1.67, 4.42, 2.97, 1.72, 4.62], [1.44, 1.56, 3.84, -3.08, 1.83, 9.28], [1.5, 1.55, 4.21, -4.01, 1.95, 26.2]], \"ry\": [-1.64, -1.67, 1.49, -1.69]}\n```"
            }
        ]
    },
    {
        "id": 1133,
        "data_source": "Mono3DRefer",
        "scene_name": "006392",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.58], \"boxes_2d\": [[573.8, 182.27, 604.71, 210.07]], \"boxes_3d\": [[1.41, 1.59, 4.47, -1.14, 1.95, 39.67]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 1134,
        "data_source": "Mono3DRefer",
        "scene_name": "006398",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.73, 1.89, 1.98], \"boxes_2d\": [[430.11, 194.95, 514.28, 265.09], [515.37, 185.79, 574.18, 223.66], [67.93, 190.52, 403.33, 374.0]], \"boxes_3d\": [[1.5, 1.53, 3.38, -3.39, 2.1, 18.04], [1.56, 1.56, 3.6, -2.89, 2.16, 32.31], [1.7, 1.53, 3.82, -3.49, 1.92, 7.49]], \"ry\": [1.54, 1.8, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 1135,
        "data_source": "Mono3DRefer",
        "scene_name": "006404",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.25, -1.94, -1.31, 1.77, -1.85, -1.71, 1.71, 1.66, 1.68], \"boxes_2d\": [[0.0, 186.85, 366.97, 374.0], [754.68, 194.61, 1143.81, 374.0], [239.24, 193.42, 474.01, 374.0], [388.04, 191.53, 517.23, 287.36], [696.89, 184.23, 839.72, 287.1], [663.3, 184.86, 751.53, 253.74], [511.31, 184.7, 563.41, 227.93], [541.33, 174.98, 585.34, 218.53], [562.72, 176.97, 601.63, 212.1]], \"boxes_3d\": [[1.63, 1.6, 3.73, -2.46, 1.71, 2.85], [1.54, 1.6, 3.52, 2.37, 1.77, 6.13], [1.54, 1.5, 3.48, -2.58, 1.81, 8.02], [1.44, 1.63, 3.32, -2.75, 1.82, 13.05], [1.55, 1.55, 3.27, 2.61, 1.77, 12.78], [1.48, 1.6, 3.79, 2.26, 1.8, 17.85], [1.56, 1.55, 3.64, -2.83, 2.04, 28.42], [1.91, 1.66, 4.22, -2.16, 2.03, 33.94], [1.83, 1.69, 4.28, -1.51, 2.07, 39.95]], \"ry\": [1.58, -1.59, -1.61, 1.56, -1.66, -1.59, 1.61, 1.6, 1.64]}\n```"
            }
        ]
    },
    {
        "id": 1136,
        "data_source": "Mono3DRefer",
        "scene_name": "006406",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.83], \"boxes_2d\": [[359.06, 184.74, 488.35, 263.44]], \"boxes_3d\": [[1.42, 1.75, 3.45, -3.78, 1.69, 15.07]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 1137,
        "data_source": "Mono3DRefer",
        "scene_name": "006455",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.84], \"boxes_2d\": [[389.59, 179.69, 482.63, 232.2]], \"boxes_3d\": [[1.42, 1.78, 3.62, -4.86, 1.38, 21.52]], \"ry\": [1.62]}\n```"
            }
        ]
    },
    {
        "id": 1138,
        "data_source": "Mono3DRefer",
        "scene_name": "006456",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[437.62, 186.53, 527.89, 246.88]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.44, 1.86, 20.0]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 1139,
        "data_source": "Mono3DRefer",
        "scene_name": "006484",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.57], \"boxes_2d\": [[584.58, 175.21, 611.02, 201.34]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.84, 1.83, 47.85]], \"ry\": [-1.59]}\n```"
            }
        ]
    },
    {
        "id": 1140,
        "data_source": "Mono3DRefer",
        "scene_name": "006485",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.76], \"boxes_2d\": [[428.02, 185.27, 522.09, 254.24]], \"boxes_3d\": [[1.45, 1.56, 3.47, -3.17, 1.77, 17.29]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 1141,
        "data_source": "Mono3DRefer",
        "scene_name": "006487",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-0.57, -0.53, 1.4], \"boxes_2d\": [[312.94, 184.4, 533.14, 276.59], [212.5, 169.5, 458.14, 269.75], [0.0, 188.39, 72.59, 225.66]], \"boxes_3d\": [[1.41, 1.62, 3.6, -3.37, 1.65, 13.25], [1.77, 1.96, 4.39, -5.61, 1.73, 15.08], [1.37, 1.6, 4.5, -23.27, 2.01, 29.13]], \"ry\": [-0.82, -0.88, 0.73]}\n```"
            }
        ]
    },
    {
        "id": 1142,
        "data_source": "Mono3DRefer",
        "scene_name": "006488",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[434.75, 170.39, 528.51, 239.21]], \"boxes_3d\": [[1.57, 1.67, 4.14, -3.0, 1.32, 18.62]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 1143,
        "data_source": "Mono3DRefer",
        "scene_name": "006510",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[538.42, 174.83, 571.38, 195.29]], \"boxes_3d\": [[1.42, 1.78, 3.62, -3.33, 0.96, 52.33]], \"ry\": [1.68]}\n```"
            }
        ]
    },
    {
        "id": 1144,
        "data_source": "Mono3DRefer",
        "scene_name": "006514",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [3.08, -0.79], \"boxes_2d\": [[970.84, 178.44, 1168.09, 243.46], [706.08, 197.77, 791.01, 229.83]], \"boxes_3d\": [[1.54, 1.68, 4.16, 11.74, 1.71, 18.82], [1.37, 1.56, 4.19, 6.76, 2.64, 35.21]], \"ry\": [-2.65, -0.6]}\n```"
            }
        ]
    },
    {
        "id": 1145,
        "data_source": "Mono3DRefer",
        "scene_name": "006518",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.62], \"boxes_2d\": [[526.58, 167.23, 563.42, 203.42]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.75, 1.7, 41.96]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 1146,
        "data_source": "Mono3DRefer",
        "scene_name": "006520",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.29, -0.58, 0.55, -2.63, 0.48, -2.83, -0.3, -1.86], \"boxes_2d\": [[694.4, 182.49, 845.04, 246.77], [819.81, 192.59, 1241.0, 350.39], [0.0, 160.19, 200.46, 303.88], [0.0, 183.1, 281.19, 280.67], [87.46, 174.96, 338.92, 257.44], [227.09, 177.81, 397.78, 238.06], [671.72, 186.93, 802.0, 241.47], [458.87, 179.36, 494.0, 201.23]], \"boxes_3d\": [[1.55, 1.57, 3.51, 4.07, 1.83, 18.85], [1.47, 1.74, 3.88, 4.53, 1.73, 8.08], [1.68, 1.67, 3.79, -7.69, 1.55, 9.27], [1.43, 1.6, 4.04, -7.8, 1.62, 11.77], [1.53, 1.72, 4.15, -7.95, 1.6, 14.65], [1.52, 1.57, 4.01, -8.05, 1.68, 19.67], [1.48, 1.63, 3.43, 3.65, 1.92, 21.25], [1.66, 1.66, 3.98, -10.66, 2.19, 57.29]], \"ry\": [-0.09, -0.08, -0.12, 3.08, -0.01, 3.06, -0.13, -2.04]}\n```"
            }
        ]
    },
    {
        "id": 1147,
        "data_source": "Mono3DRefer",
        "scene_name": "006521",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.75], \"boxes_2d\": [[678.43, 192.2, 787.25, 268.94]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.57, 1.89, 16.27]], \"ry\": [-1.6]}\n```"
            }
        ]
    },
    {
        "id": 1148,
        "data_source": "Mono3DRefer",
        "scene_name": "006525",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.35, -1.7, -1.42, -1.77, -1.55], \"boxes_2d\": [[356.45, 201.06, 518.16, 306.9], [660.16, 183.14, 719.55, 229.16], [474.9, 189.99, 549.16, 246.89], [703.24, 178.39, 835.25, 277.99], [639.41, 183.88, 668.61, 208.62]], \"boxes_3d\": [[1.33, 1.71, 4.09, -2.71, 1.87, 12.06], [1.49, 1.56, 4.34, 2.76, 1.88, 26.05], [1.42, 1.53, 4.12, -2.79, 1.96, 21.01], [1.59, 1.59, 3.89, 2.79, 1.71, 13.62], [1.38, 1.64, 3.51, 2.62, 2.05, 42.87]], \"ry\": [-1.57, -1.59, -1.56, -1.58, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 1149,
        "data_source": "Mono3DRefer",
        "scene_name": "006532",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.66, -2.93, -2.91, 0.19, 2.35], \"boxes_2d\": [[70.57, 180.83, 373.65, 275.35], [252.11, 163.61, 458.92, 245.2], [413.37, 174.07, 494.56, 210.63], [432.1, 173.33, 522.21, 209.5], [1044.67, 160.49, 1241.0, 374.0]], \"boxes_3d\": [[1.46, 1.61, 4.31, -6.5, 1.62, 12.31], [1.8, 1.77, 4.41, -6.01, 1.62, 17.36], [1.58, 1.54, 3.3, -7.03, 1.66, 32.56], [1.68, 1.71, 4.07, -6.47, 1.73, 35.24], [1.76, 1.71, 4.4, 6.48, 1.66, 6.31]], \"ry\": [-3.14, 3.03, -3.12, 0.01, 3.12]}\n```"
            }
        ]
    },
    {
        "id": 1150,
        "data_source": "Mono3DRefer",
        "scene_name": "006534",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.47, 1.86, -1.6, 1.86], \"boxes_2d\": [[0.0, 209.84, 131.38, 374.0], [424.03, 183.68, 523.08, 237.12], [701.39, 176.87, 764.05, 227.51], [649.18, 170.29, 683.52, 191.53]], \"boxes_3d\": [[1.46, 1.67, 4.92, -4.9, 1.76, 3.58], [1.42, 1.73, 4.41, -4.04, 1.77, 21.88], [1.51, 1.84, 4.1, 3.91, 1.66, 23.7], [1.76, 1.77, 4.41, 4.89, 1.57, 62.25]], \"ry\": [1.57, 1.68, -1.44, 1.93]}\n```"
            }
        ]
    },
    {
        "id": 1151,
        "data_source": "Mono3DRefer",
        "scene_name": "006535",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.58, 0.43, -2.82, 0.28, 0.13, -1.66], \"boxes_2d\": [[35.69, 181.16, 302.0, 289.66], [150.1, 174.44, 398.25, 267.92], [212.48, 179.99, 431.66, 253.19], [331.46, 183.07, 485.14, 237.19], [416.34, 182.83, 523.89, 219.62], [650.35, 182.97, 699.29, 220.22]], \"boxes_3d\": [[1.58, 1.54, 3.3, -6.93, 1.73, 11.47], [1.68, 1.71, 4.07, -6.49, 1.74, 14.15], [1.53, 1.7, 4.32, -6.46, 1.71, 16.45], [1.54, 1.78, 4.2, -6.13, 1.88, 22.12], [1.5, 1.66, 4.4, -6.05, 1.96, 31.38], [1.41, 1.62, 4.19, 2.6, 1.85, 30.05]], \"ry\": [-3.12, 0.01, 3.09, 0.01, -0.05, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 1152,
        "data_source": "Mono3DRefer",
        "scene_name": "006550",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.98, 1.65], \"boxes_2d\": [[61.39, 197.26, 440.31, 374.0], [530.55, 189.37, 570.75, 221.08]], \"boxes_3d\": [[1.6, 1.68, 3.94, -3.03, 1.89, 7.01], [1.42, 1.66, 4.11, -2.93, 2.28, 35.95]], \"ry\": [1.58, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 1153,
        "data_source": "Mono3DRefer",
        "scene_name": "006553",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.43, 1.8], \"boxes_2d\": [[1023.28, 176.49, 1120.47, 251.89], [943.33, 177.6, 999.2, 208.07]], \"boxes_3d\": [[1.66, 1.56, 3.42, 11.38, 1.76, 17.75], [1.45, 1.64, 4.21, 18.47, 1.71, 36.86]], \"ry\": [-0.87, 2.26]}\n```"
            }
        ]
    },
    {
        "id": 1154,
        "data_source": "Mono3DRefer",
        "scene_name": "006556",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.71, -1.67], \"boxes_2d\": [[252.39, 173.92, 391.24, 236.11], [634.49, 174.28, 761.58, 288.51]], \"boxes_3d\": [[1.59, 1.45, 3.15, -7.76, 1.64, 19.46], [1.46, 1.53, 3.17, 1.15, 1.5, 10.9]], \"ry\": [-3.08, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 1155,
        "data_source": "Mono3DRefer",
        "scene_name": "006566",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.58], \"boxes_2d\": [[581.33, 183.06, 614.25, 212.78]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.64, 1.96, 37.37]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 1156,
        "data_source": "Mono3DRefer",
        "scene_name": "006568",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.57, 0.78, -2.51, -2.76, -2.98, -2.93, 0.17], \"boxes_2d\": [[885.51, 163.43, 1241.0, 301.93], [0.0, 98.45, 157.81, 374.0], [0.0, 182.7, 228.06, 307.8], [203.13, 179.32, 424.77, 250.04], [317.45, 165.87, 481.83, 231.81], [431.61, 173.12, 503.65, 205.74], [449.24, 172.31, 529.82, 204.8]], \"boxes_3d\": [[1.76, 1.71, 4.4, 6.42, 1.66, 10.27], [2.22, 1.68, 4.08, -6.77, 1.65, 6.62], [1.4, 1.46, 3.23, -6.79, 1.54, 8.93], [1.46, 1.61, 4.31, -6.56, 1.63, 16.18], [1.8, 1.77, 4.41, -6.1, 1.63, 21.24], [1.58, 1.54, 3.3, -7.18, 1.62, 36.41], [1.68, 1.71, 4.07, -6.52, 1.68, 39.14]], \"ry\": [3.12, 0.0, 3.14, 3.14, 3.02, -3.12, 0.0]}\n```"
            }
        ]
    },
    {
        "id": 1157,
        "data_source": "Mono3DRefer",
        "scene_name": "006594",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.78, -1.9, -1.81, -1.73, -1.43, 1.7, -1.76, -1.68, 1.68, 1.65, 1.67], \"boxes_2d\": [[397.99, 178.04, 529.12, 280.85], [819.99, 207.78, 1241.0, 374.0], [712.13, 181.82, 862.56, 300.35], [666.1, 179.34, 760.58, 253.55], [466.5, 189.49, 543.73, 257.26], [491.64, 183.52, 554.08, 231.45], [653.29, 177.19, 719.74, 228.67], [638.31, 176.77, 689.58, 217.44], [534.4, 176.8, 570.54, 207.32], [551.76, 170.2, 584.02, 202.83], [565.17, 172.28, 595.41, 199.74]], \"boxes_3d\": [[1.63, 1.6, 3.73, -2.6, 1.74, 13.39], [1.45, 1.5, 3.26, 2.58, 1.77, 5.28], [1.59, 1.49, 3.34, 2.61, 1.75, 11.5], [1.54, 1.6, 3.52, 2.26, 1.7, 16.88], [1.54, 1.5, 3.48, -2.68, 2.0, 18.77], [1.44, 1.63, 3.32, -2.85, 1.81, 23.87], [1.55, 1.55, 3.27, 2.4, 1.71, 23.62], [1.48, 1.6, 3.79, 2.03, 1.66, 28.51], [1.56, 1.55, 3.64, -3.09, 1.79, 38.99], [1.91, 1.66, 4.22, -2.58, 1.78, 44.61], [1.83, 1.69, 4.28, -2.06, 1.82, 50.55]], \"ry\": [1.59, -1.47, -1.59, -1.6, -1.57, 1.58, -1.66, -1.61, 1.6, 1.59, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 1158,
        "data_source": "Mono3DRefer",
        "scene_name": "006597",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.02, 1.77, 1.77, -1.57, -1.95], \"boxes_2d\": [[82.97, 186.3, 354.26, 339.32], [420.67, 182.31, 495.67, 228.04], [506.81, 181.69, 548.71, 206.11], [640.77, 176.66, 670.77, 201.3], [771.49, 173.3, 1172.31, 374.0]], \"boxes_3d\": [[1.62, 1.66, 3.81, -5.0, 1.83, 9.79], [1.46, 1.67, 4.92, -5.39, 1.82, 26.02], [1.42, 1.73, 4.41, -5.1, 1.99, 45.04], [1.51, 1.84, 4.1, 2.95, 1.78, 46.76], [1.61, 1.67, 3.62, 2.63, 1.64, 6.33]], \"ry\": [1.55, 1.57, 1.66, -1.5, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 1159,
        "data_source": "Mono3DRefer",
        "scene_name": "006606",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[531.05, 174.77, 566.34, 196.72]], \"boxes_3d\": [[1.42, 1.78, 3.62, -3.53, 0.98, 48.9]], \"ry\": [1.67]}\n```"
            }
        ]
    },
    {
        "id": 1160,
        "data_source": "Mono3DRefer",
        "scene_name": "006610",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.25, 2.18], \"boxes_2d\": [[0.0, 171.72, 149.3, 236.4], [137.37, 182.86, 237.72, 225.93]], \"boxes_3d\": [[1.78, 1.6, 4.29, -16.4, 1.78, 22.09], [1.5, 1.47, 3.62, -15.98, 1.9, 27.43]], \"ry\": [1.62, 1.66]}\n```"
            }
        ]
    },
    {
        "id": 1161,
        "data_source": "Mono3DRefer",
        "scene_name": "006638",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.71, -0.42, -2.63, -2.57, 0.8, 0.14, -1.67, 0.28], \"boxes_2d\": [[134.83, 186.13, 383.17, 274.31], [794.22, 181.25, 1034.69, 267.86], [3.81, 190.44, 327.15, 297.4], [0.0, 167.93, 265.56, 335.73], [0.0, 197.02, 170.56, 374.0], [430.43, 178.64, 524.26, 213.49], [641.02, 183.04, 693.73, 220.14], [316.37, 178.87, 472.74, 234.63]], \"boxes_3d\": [[1.5, 1.58, 3.88, -6.49, 1.78, 13.51], [1.5, 1.62, 3.88, 5.63, 1.68, 13.73], [1.44, 1.55, 3.94, -6.63, 1.74, 10.97], [1.77, 1.68, 4.12, -6.59, 1.74, 8.52], [1.51, 1.59, 4.28, -6.27, 1.75, 5.9], [1.58, 1.66, 4.21, -6.31, 1.88, 34.49], [1.32, 1.63, 4.1, 2.14, 1.73, 28.33], [1.58, 1.56, 4.25, -6.46, 1.78, 21.77]], \"ry\": [3.13, -0.04, 3.12, 3.07, 0.01, -0.04, -1.6, -0.0]}\n```"
            }
        ]
    },
    {
        "id": 1162,
        "data_source": "Mono3DRefer",
        "scene_name": "006641",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.59], \"boxes_2d\": [[199.9, 197.12, 234.55, 226.28]], \"boxes_3d\": [[1.45, 1.62, 3.83, -21.9, 2.85, 40.27]], \"ry\": [1.09]}\n```"
            }
        ]
    },
    {
        "id": 1163,
        "data_source": "Mono3DRefer",
        "scene_name": "006646",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.89, 1.5, 2.24, -2.45], \"boxes_2d\": [[317.49, 185.75, 505.47, 316.44], [478.34, 174.48, 501.07, 194.88], [0.0, 202.75, 288.99, 374.0], [0.0, 202.54, 243.1, 311.98]], \"boxes_3d\": [[1.56, 1.56, 3.6, -2.74, 1.77, 10.62], [1.68, 1.63, 3.9, -10.39, 1.85, 62.07], [1.52, 1.54, 3.56, -3.55, 1.76, 4.3], [1.54, 1.64, 4.01, -8.28, 2.05, 11.47]], \"ry\": [1.64, 1.33, 1.58, -3.06]}\n```"
            }
        ]
    },
    {
        "id": 1164,
        "data_source": "Mono3DRefer",
        "scene_name": "006654",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.73, -0.67], \"boxes_2d\": [[990.34, 183.2, 1241.0, 293.19], [947.54, 181.96, 1241.0, 269.58]], \"boxes_3d\": [[1.35, 1.49, 4.0, 7.65, 1.52, 10.12], [1.32, 1.62, 4.57, 8.35, 1.5, 12.28]], \"ry\": [-0.1, -0.08]}\n```"
            }
        ]
    },
    {
        "id": 1165,
        "data_source": "Mono3DRefer",
        "scene_name": "006660",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.06, 0.82, -2.68, 2.75, -0.28, 2.85, 0.33, -2.92, -3.08], \"boxes_2d\": [[837.77, 205.39, 1241.0, 374.0], [0.0, 165.59, 99.53, 374.0], [0.0, 179.62, 302.25, 310.82], [843.83, 191.45, 1118.16, 275.35], [820.86, 178.17, 1015.77, 260.55], [733.58, 170.35, 887.24, 229.13], [262.23, 151.25, 438.49, 240.14], [379.21, 178.17, 496.88, 217.06], [423.78, 171.1, 521.95, 211.7]], \"boxes_3d\": [[1.39, 1.51, 3.4, 2.96, 1.7, 5.35], [1.7, 1.57, 3.19, -5.88, 1.66, 5.19], [1.63, 1.55, 3.35, -6.32, 1.74, 10.02], [1.34, 1.52, 3.99, 6.31, 1.69, 12.67], [1.63, 1.53, 3.45, 6.32, 1.76, 15.18], [1.76, 1.71, 4.4, 6.28, 1.71, 23.05], [2.22, 1.68, 4.08, -6.85, 1.7, 19.21], [1.46, 1.61, 4.31, -6.83, 1.7, 28.78], [1.8, 1.77, 4.41, -6.39, 1.75, 33.86]], \"ry\": [-1.58, -0.0, 3.05, -3.08, 0.11, 3.11, -0.01, 3.13, 3.02]}\n```"
            }
        ]
    },
    {
        "id": 1166,
        "data_source": "Mono3DRefer",
        "scene_name": "006663",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.05, -1.99, 1.82, 1.91, -1.72, -1.61, 1.95], \"boxes_2d\": [[41.29, 188.01, 388.46, 374.0], [814.85, 182.12, 1177.1, 374.0], [355.54, 167.64, 492.44, 268.23], [492.58, 174.07, 578.68, 234.16], [751.84, 175.21, 865.29, 262.3], [745.83, 179.42, 810.05, 239.1], [640.45, 174.9, 709.22, 212.25]], \"boxes_3d\": [[1.49, 1.52, 3.35, -3.57, 1.67, 7.14], [1.53, 1.65, 4.37, 3.68, 1.65, 7.99], [1.74, 1.65, 4.18, -3.64, 1.68, 14.7], [1.64, 1.45, 3.48, -2.16, 1.69, 21.49], [1.61, 1.68, 4.04, 4.03, 1.68, 15.4], [1.52, 1.58, 4.28, 4.68, 1.72, 20.7], [1.54, 1.64, 4.08, 2.91, 1.65, 31.98]], \"ry\": [1.6, -1.57, 1.59, 1.81, -1.46, -1.39, 2.04]}\n```"
            }
        ]
    },
    {
        "id": 1167,
        "data_source": "Mono3DRefer",
        "scene_name": "006683",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.5, 1.85], \"boxes_2d\": [[352.54, 194.29, 389.92, 226.26], [165.86, 196.52, 440.09, 374.0]], \"boxes_3d\": [[1.65, 1.75, 3.39, -13.57, 2.9, 40.81], [1.47, 1.7, 4.39, -3.27, 1.81, 8.57]], \"ry\": [1.18, 1.49]}\n```"
            }
        ]
    },
    {
        "id": 1168,
        "data_source": "Mono3DRefer",
        "scene_name": "006697",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[522.52, 174.7, 560.57, 198.37]], \"boxes_3d\": [[1.42, 1.78, 3.62, -3.73, 1.01, 45.47]], \"ry\": [1.66]}\n```"
            }
        ]
    },
    {
        "id": 1169,
        "data_source": "Mono3DRefer",
        "scene_name": "006705",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.71, 1.6], \"boxes_2d\": [[444.65, 188.12, 533.76, 253.55], [564.21, 164.83, 586.84, 188.09]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.0, 1.84, 18.41], [1.97, 1.87, 4.53, -3.03, 1.32, 64.01]], \"ry\": [1.55, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 1170,
        "data_source": "Mono3DRefer",
        "scene_name": "006727",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.86, 1.64], \"boxes_2d\": [[289.16, 196.22, 489.41, 337.0], [540.79, 192.78, 576.66, 221.77]], \"boxes_3d\": [[1.6, 1.68, 3.94, -3.04, 1.99, 10.66], [1.42, 1.66, 4.11, -2.79, 2.56, 39.61]], \"ry\": [1.59, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 1171,
        "data_source": "Mono3DRefer",
        "scene_name": "006734",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.91, 1.81, -1.56], \"boxes_2d\": [[261.11, 191.23, 421.83, 275.91], [469.19, 183.06, 527.83, 215.85], [643.48, 175.49, 682.53, 207.52]], \"boxes_3d\": [[1.46, 1.67, 4.92, -5.62, 1.91, 15.7], [1.42, 1.73, 4.41, -5.24, 1.93, 34.28], [1.51, 1.84, 4.1, 2.65, 1.66, 36.42]], \"ry\": [1.57, 1.66, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 1172,
        "data_source": "Mono3DRefer",
        "scene_name": "006739",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.63, 1.47], \"boxes_2d\": [[426.81, 179.43, 488.89, 240.08], [442.76, 185.0, 485.56, 216.5]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.65, 1.9, 22.26], [1.47, 1.7, 4.39, -7.5, 2.1, 36.7]], \"ry\": [1.42, 1.27]}\n```"
            }
        ]
    },
    {
        "id": 1173,
        "data_source": "Mono3DRefer",
        "scene_name": "006740",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.74, 1.96, 1.8], \"boxes_2d\": [[590.55, 179.6, 668.13, 241.25], [295.26, 184.0, 355.78, 219.31], [375.93, 184.02, 435.95, 220.97]], \"boxes_3d\": [[1.61, 1.66, 3.2, 0.44, 1.82, 20.74], [1.5, 1.5, 3.1, -12.94, 2.03, 32.9], [1.5, 1.67, 4.07, -9.03, 2.02, 32.12]], \"ry\": [-1.72, 1.58, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 1174,
        "data_source": "Mono3DRefer",
        "scene_name": "006748",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.48, 1.76], \"boxes_2d\": [[349.01, 190.65, 385.28, 220.29], [293.72, 192.32, 460.88, 310.28]], \"boxes_3d\": [[1.65, 1.75, 3.39, -14.66, 2.75, 43.38], [1.47, 1.7, 4.39, -3.58, 1.83, 11.77]], \"ry\": [1.15, 1.47]}\n```"
            }
        ]
    },
    {
        "id": 1175,
        "data_source": "Mono3DRefer",
        "scene_name": "006750",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.88, -3.02, -2.6], \"boxes_2d\": [[511.6, 157.39, 746.62, 251.5], [196.77, 146.21, 472.07, 251.61], [0.0, 149.16, 86.36, 257.35]], \"boxes_3d\": [[1.46, 1.53, 3.8, 0.34, 1.09, 12.3], [1.53, 1.4, 3.94, -4.24, 1.01, 11.47], [1.48, 1.55, 3.29, -9.74, 1.07, 10.14]], \"ry\": [2.91, 2.92, 2.93]}\n```"
            }
        ]
    },
    {
        "id": 1176,
        "data_source": "Mono3DRefer",
        "scene_name": "006757",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.55, 1.73, -2.08], \"boxes_2d\": [[567.01, 175.54, 620.22, 227.03], [476.19, 179.29, 514.94, 210.39], [957.33, 165.23, 1036.32, 195.23]], \"boxes_3d\": [[1.61, 1.66, 3.2, -0.57, 1.72, 24.4], [1.66, 1.61, 3.46, -6.42, 2.03, 40.59], [1.36, 1.5, 4.21, 18.73, 1.04, 35.19]], \"ry\": [-1.58, 1.57, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 1177,
        "data_source": "Mono3DRefer",
        "scene_name": "006763",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.74, 1.53], \"boxes_2d\": [[344.1, 173.81, 468.62, 276.68], [432.69, 178.77, 482.46, 219.98]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.8, 1.73, 13.93], [1.47, 1.7, 4.39, -6.08, 1.72, 28.29]], \"ry\": [1.48, 1.32]}\n```"
            }
        ]
    },
    {
        "id": 1178,
        "data_source": "Mono3DRefer",
        "scene_name": "006776",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.75], \"boxes_2d\": [[452.18, 185.94, 530.27, 242.72]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.4, 1.86, 21.05]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 1179,
        "data_source": "Mono3DRefer",
        "scene_name": "006785",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.59, -1.25], \"boxes_2d\": [[593.89, 169.67, 621.08, 196.54], [182.05, 181.0, 475.2, 374.0]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.22, 1.48, 46.58], [1.61, 1.51, 4.5, -2.76, 1.72, 8.1]], \"ry\": [-1.59, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 1180,
        "data_source": "Mono3DRefer",
        "scene_name": "006790",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.7], \"boxes_2d\": [[487.3, 183.87, 547.84, 225.76]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.5, 1.89, 27.67]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 1181,
        "data_source": "Mono3DRefer",
        "scene_name": "006802",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.83], \"boxes_2d\": [[495.73, 178.18, 561.95, 211.75]], \"boxes_3d\": [[1.37, 1.78, 4.65, -3.54, 1.62, 32.08]], \"ry\": [1.72]}\n```"
            }
        ]
    },
    {
        "id": 1182,
        "data_source": "Mono3DRefer",
        "scene_name": "006808",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.92, 1.7, -1.56, -1.69], \"boxes_2d\": [[782.98, 185.09, 1021.2, 336.24], [481.68, 201.55, 576.92, 283.19], [571.43, 194.65, 608.21, 232.41], [685.38, 186.07, 732.47, 229.98]], \"boxes_3d\": [[1.72, 1.67, 4.42, 3.91, 1.93, 10.66], [1.44, 1.56, 3.84, -1.68, 2.13, 15.74], [1.5, 1.55, 4.21, -0.92, 2.54, 32.72], [1.82, 1.65, 3.67, 4.36, 2.44, 32.46]], \"ry\": [-1.58, 1.59, -1.59, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 1183,
        "data_source": "Mono3DRefer",
        "scene_name": "006817",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.18, 1.93, -1.38, -2.22, -0.25, -0.11, 1.71], \"boxes_2d\": [[0.0, 202.44, 344.89, 374.0], [337.91, 197.53, 511.88, 312.73], [699.31, 170.5, 748.17, 205.06], [460.72, 193.79, 520.69, 230.46], [943.42, 165.47, 1098.34, 214.84], [884.07, 163.93, 1024.15, 206.56], [741.38, 168.65, 774.68, 193.07]], \"boxes_3d\": [[1.57, 1.44, 3.6, -3.67, 1.87, 5.8], [1.47, 1.51, 3.5, -2.82, 1.91, 11.56], [1.77, 1.75, 4.67, 6.25, 1.67, 39.4], [1.72, 1.39, 3.07, -6.06, 2.8, 36.34], [1.48, 1.63, 3.98, 12.89, 1.29, 22.94], [1.47, 1.52, 4.43, 12.34, 1.19, 26.23], [1.6, 1.68, 3.94, 10.16, 1.34, 49.46]], \"ry\": [1.63, 1.7, -1.22, -2.38, 0.26, 0.33, 1.91]}\n```"
            }
        ]
    },
    {
        "id": 1184,
        "data_source": "Mono3DRefer",
        "scene_name": "006819",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.74], \"boxes_2d\": [[846.31, 117.55, 885.41, 145.91]], \"boxes_3d\": [[1.5, 1.62, 4.19, 16.19, -1.81, 45.61]], \"ry\": [2.08]}\n```"
            }
        ]
    },
    {
        "id": 1185,
        "data_source": "Mono3DRefer",
        "scene_name": "006823",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.92, -1.57, 1.99], \"boxes_2d\": [[293.64, 173.56, 332.68, 192.96], [568.98, 177.72, 618.58, 225.57], [255.69, 173.99, 303.92, 194.82]], \"boxes_3d\": [[1.5, 1.62, 4.05, -24.01, 1.59, 58.44], [1.6, 1.66, 3.55, -0.63, 1.79, 26.15], [1.43, 1.73, 3.87, -23.77, 1.54, 52.03]], \"ry\": [1.53, -1.6, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 1186,
        "data_source": "Mono3DRefer",
        "scene_name": "006833",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.8, 0.69, 0.58, -2.64, -2.81, -2.75, -2.92, 0.25, -1.89, -0.39, -0.32, -0.29, 2.84, -0.27, -0.23, -2.97, -2.96, -1.68], \"boxes_2d\": [[0.0, 181.56, 164.89, 374.0], [0.0, 175.15, 241.65, 349.09], [0.0, 171.29, 348.48, 302.83], [100.13, 173.28, 336.53, 271.35], [197.33, 184.55, 410.45, 264.45], [226.34, 174.59, 431.55, 243.76], [318.96, 169.63, 461.62, 227.41], [338.01, 159.64, 480.82, 224.41], [768.71, 193.46, 1032.81, 365.48], [840.01, 173.06, 1110.5, 275.4], [809.57, 179.05, 1003.89, 258.28], [776.83, 180.03, 930.85, 243.05], [730.98, 177.26, 869.89, 229.59], [710.28, 179.02, 839.92, 221.58], [712.67, 170.34, 820.3, 217.8], [425.89, 173.06, 521.43, 204.81], [450.54, 176.0, 532.91, 205.22], [635.38, 177.61, 670.18, 203.7]], \"boxes_3d\": [[1.53, 1.6, 3.62, -5.67, 1.62, 5.37], [1.66, 1.57, 3.11, -5.97, 1.71, 7.76], [1.66, 1.71, 4.34, -6.19, 1.67, 10.1], [1.58, 1.62, 3.26, -6.79, 1.61, 12.65], [1.51, 1.66, 3.73, -6.27, 1.78, 15.0], [1.56, 1.57, 4.37, -6.76, 1.63, 17.51], [1.65, 1.68, 3.88, -6.65, 1.58, 22.02], [2.08, 1.8, 4.37, -6.78, 1.68, 24.58], [1.38, 1.49, 3.38, 2.79, 1.64, 7.81], [1.67, 1.6, 3.94, 6.26, 1.71, 12.79], [1.54, 1.75, 3.36, 6.05, 1.69, 15.13], [1.48, 1.52, 3.33, 5.97, 1.67, 18.03], [1.57, 1.68, 3.97, 6.01, 1.74, 23.16], [1.44, 1.65, 4.26, 5.86, 1.68, 26.06], [1.77, 1.69, 3.82, 6.05, 1.7, 28.33], [1.49, 1.59, 4.44, -6.74, 1.53, 35.78], [1.48, 1.63, 4.1, -6.3, 1.68, 38.51], [1.41, 1.56, 4.08, 2.39, 1.71, 41.61]], \"ry\": [0.01, 0.05, 0.04, -3.13, 3.08, -3.11, 3.07, -0.02, -1.56, 0.06, 0.05, 0.02, 3.09, -0.05, -0.02, 3.13, -3.12, -1.62]}\n```"
            }
        ]
    },
    {
        "id": 1187,
        "data_source": "Mono3DRefer",
        "scene_name": "006838",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.63, 2.61, -1.56], \"boxes_2d\": [[538.78, 181.77, 556.77, 198.72], [941.31, 192.36, 1022.31, 221.67], [561.19, 179.47, 615.52, 233.62]], \"boxes_3d\": [[1.47, 1.43, 3.11, -5.6, 2.28, 64.96], [1.68, 1.39, 4.26, 22.64, 2.91, 44.03], [1.62, 1.63, 4.5, -0.73, 1.86, 24.1]], \"ry\": [1.54, 3.08, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 1188,
        "data_source": "Mono3DRefer",
        "scene_name": "006860",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.83], \"boxes_2d\": [[298.44, 175.17, 463.0, 281.18]], \"boxes_3d\": [[1.5, 1.62, 4.19, -3.76, 1.57, 12.45]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 1189,
        "data_source": "Mono3DRefer",
        "scene_name": "006871",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.87, 2.18, 1.99, 2.18, -1.53], \"boxes_2d\": [[279.24, 191.71, 412.85, 269.64], [0.0, 198.1, 125.86, 313.84], [94.6, 195.42, 262.86, 269.32], [231.7, 188.47, 349.9, 239.57], [658.28, 176.17, 690.11, 203.08]], \"boxes_3d\": [[1.33, 1.56, 3.49, -5.29, 1.76, 14.78], [1.47, 1.72, 4.33, -9.08, 1.89, 10.26], [1.31, 1.6, 4.09, -9.32, 1.86, 15.91], [1.43, 1.58, 3.66, -10.01, 1.96, 22.83], [1.37, 1.56, 3.54, 3.47, 1.57, 38.91]], \"ry\": [1.53, 1.47, 1.47, 1.77, -1.44]}\n```"
            }
        ]
    },
    {
        "id": 1190,
        "data_source": "Mono3DRefer",
        "scene_name": "006880",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.64, 1.72], \"boxes_2d\": [[538.97, 179.65, 563.71, 200.52], [482.47, 178.44, 536.08, 222.42]], \"boxes_3d\": [[1.45, 1.53, 3.98, -4.28, 1.96, 52.83], [1.65, 1.56, 3.98, -4.05, 1.89, 29.25]], \"ry\": [1.56, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 1191,
        "data_source": "Mono3DRefer",
        "scene_name": "006885",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, -1.76, 1.7, -1.53, -1.73, -1.7], \"boxes_2d\": [[311.28, 187.96, 343.31, 215.63], [382.31, 185.74, 471.47, 250.27], [0.0, 144.2, 170.2, 358.82], [147.81, 189.89, 207.87, 241.61], [356.74, 187.97, 416.1, 235.56], [334.06, 188.05, 387.0, 229.12]], \"boxes_3d\": [[1.46, 1.6, 3.71, -16.19, 2.34, 41.16], [1.57, 1.72, 3.52, -5.14, 1.93, 19.8], [2.01, 1.89, 4.91, -6.77, 1.77, 8.99], [1.65, 1.67, 3.81, -15.38, 2.28, 25.75], [1.52, 1.51, 3.1, -7.94, 2.07, 25.37], [1.53, 1.58, 3.53, -10.26, 2.17, 29.44]], \"ry\": [-1.97, -2.01, 1.07, -2.07, -2.03, -2.04]}\n```"
            }
        ]
    },
    {
        "id": 1192,
        "data_source": "Mono3DRefer",
        "scene_name": "006886",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.08, 1.67, 1.78, 1.92, 0.15, 1.87], \"boxes_2d\": [[118.97, 198.64, 249.84, 264.08], [497.34, 172.58, 534.31, 205.18], [364.6, 183.75, 431.57, 226.03], [285.6, 187.68, 361.56, 228.47], [275.38, 184.24, 340.84, 204.32], [959.74, 158.2, 996.37, 177.42]], \"boxes_3d\": [[1.51, 1.46, 3.63, -11.45, 2.26, 19.61], [1.78, 1.72, 4.0, -5.43, 1.8, 41.83], [1.47, 1.69, 3.74, -8.05, 1.9, 27.57], [1.48, 1.54, 4.07, -11.53, 2.11, 29.23], [1.43, 1.55, 4.37, -22.75, 2.31, 54.45], [1.48, 1.61, 3.61, 29.56, 0.35, 57.94]], \"ry\": [1.55, 1.54, 1.5, 1.55, -0.25, 2.34]}\n```"
            }
        ]
    },
    {
        "id": 1193,
        "data_source": "Mono3DRefer",
        "scene_name": "006899",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.58, 1.71, 1.7], \"boxes_2d\": [[860.75, 169.73, 954.35, 262.12], [728.78, 175.42, 774.92, 207.1], [777.91, 175.23, 810.74, 196.91]], \"boxes_3d\": [[1.66, 1.56, 3.42, 6.01, 1.62, 14.81], [1.45, 1.64, 4.21, 6.96, 1.59, 35.29], [1.45, 1.67, 4.43, 12.98, 1.63, 50.71]], \"ry\": [-1.2, 1.9, 1.95]}\n```"
            }
        ]
    },
    {
        "id": 1194,
        "data_source": "Mono3DRefer",
        "scene_name": "006917",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.35, 1.75, -1.76, 1.47, 1.64], \"boxes_2d\": [[718.74, 176.86, 876.02, 295.48], [435.65, 185.21, 533.7, 251.68], [678.45, 181.42, 767.52, 245.17], [664.91, 181.45, 729.2, 229.75], [524.58, 180.91, 562.53, 214.4]], \"boxes_3d\": [[1.62, 1.58, 3.89, 2.83, 1.7, 11.86], [1.45, 1.67, 4.43, -3.1, 1.79, 18.46], [1.47, 1.59, 3.62, 2.77, 1.7, 18.67], [1.44, 1.64, 4.5, 2.78, 1.74, 24.15], [1.46, 1.51, 3.24, -3.07, 1.84, 33.45]], \"ry\": [1.58, 1.59, -1.61, 1.58, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 1195,
        "data_source": "Mono3DRefer",
        "scene_name": "006920",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.19, 0.97, -1.69, 1.68, 1.9], \"boxes_2d\": [[0.0, 210.62, 234.86, 374.0], [884.06, 193.28, 1241.0, 374.0], [664.84, 177.98, 740.54, 233.27], [510.91, 180.25, 545.84, 204.2], [303.42, 200.76, 434.85, 271.45]], \"boxes_3d\": [[1.4, 1.59, 3.89, -5.27, 1.84, 6.65], [1.44, 1.59, 3.51, 2.51, 1.56, 3.03], [1.41, 1.64, 3.77, 2.5, 1.58, 20.56], [1.43, 1.76, 3.97, -5.15, 1.91, 45.72], [1.31, 1.58, 4.23, -5.48, 2.03, 16.84]], \"ry\": [1.54, 1.61, -1.57, 1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 1196,
        "data_source": "Mono3DRefer",
        "scene_name": "006931",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.65], \"boxes_2d\": [[534.64, 176.52, 556.21, 196.16]], \"boxes_3d\": [[1.65, 1.56, 3.98, -5.63, 1.99, 63.09]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 1197,
        "data_source": "Mono3DRefer",
        "scene_name": "006948",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.16, 1.72, 1.97, 1.81, -1.61, 2.95, 2.98], \"boxes_2d\": [[0.0, 184.67, 261.77, 370.54], [490.79, 181.28, 545.61, 216.2], [215.83, 184.95, 375.94, 274.09], [384.32, 186.37, 456.81, 230.16], [629.28, 173.77, 657.31, 198.31], [703.57, 164.65, 791.58, 192.02], [699.12, 159.11, 775.54, 191.8]], \"boxes_3d\": [[1.74, 1.65, 4.11, -6.17, 1.9, 8.91], [1.41, 1.76, 4.4, -3.99, 1.79, 31.76], [1.61, 1.64, 4.0, -6.51, 1.89, 15.36], [1.43, 1.7, 3.74, -6.84, 1.95, 26.27], [1.55, 1.66, 4.15, 2.15, 1.64, 48.04], [1.47, 1.7, 4.65, 7.74, 1.05, 40.97], [1.91, 1.81, 4.33, 7.7, 1.12, 44.04]], \"ry\": [1.57, 1.59, 1.58, 1.56, -1.57, 3.13, -3.13]}\n```"
            }
        ]
    },
    {
        "id": 1198,
        "data_source": "Mono3DRefer",
        "scene_name": "006949",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.88], \"boxes_2d\": [[778.22, 176.23, 868.17, 224.82]], \"boxes_3d\": [[1.4, 1.55, 4.06, 6.68, 1.53, 23.14]], \"ry\": [-1.6]}\n```"
            }
        ]
    },
    {
        "id": 1199,
        "data_source": "Mono3DRefer",
        "scene_name": "006957",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.58, 0.58], \"boxes_2d\": [[569.37, 181.72, 666.35, 273.86], [0.0, 196.71, 74.52, 233.31]], \"boxes_3d\": [[1.56, 1.65, 3.69, 0.09, 1.75, 14.24], [1.43, 1.45, 3.5, -24.7, 2.46, 30.08]], \"ry\": [-1.57, -0.11]}\n```"
            }
        ]
    },
    {
        "id": 1200,
        "data_source": "Mono3DRefer",
        "scene_name": "006960",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.62, 3.0, 2.11, -1.79, 1.95, 1.82, 1.79, 1.73], \"boxes_2d\": [[638.9, 175.74, 660.6, 194.44], [694.28, 169.37, 758.6, 189.56], [0.0, 204.69, 276.28, 347.52], [715.16, 174.28, 864.75, 273.16], [246.26, 194.95, 396.18, 274.15], [385.01, 179.45, 468.06, 238.34], [434.11, 182.97, 494.56, 225.07], [480.54, 183.05, 521.26, 210.2]], \"boxes_3d\": [[1.55, 1.66, 4.15, 3.39, 1.82, 62.42], [1.47, 1.7, 4.65, 8.86, 1.24, 55.26], [1.42, 1.54, 3.5, -6.06, 1.91, 9.59], [1.51, 1.75, 3.78, 3.02, 1.56, 13.06], [1.36, 1.51, 4.02, -5.95, 1.88, 15.28], [1.74, 1.65, 4.11, -5.91, 1.96, 23.55], [1.61, 1.64, 4.0, -6.03, 2.05, 30.11], [1.43, 1.7, 3.74, -6.14, 2.02, 40.76]], \"ry\": [-1.56, -3.13, 1.56, -1.57, 1.58, 1.57, 1.59, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 1201,
        "data_source": "Mono3DRefer",
        "scene_name": "006967",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.47, -1.56, -1.46, -1.56, -0.7, -0.64], \"boxes_2d\": [[0.0, 194.88, 79.07, 283.64], [635.58, 177.68, 676.64, 213.79], [586.71, 170.85, 629.13, 204.53], [654.16, 171.25, 685.9, 200.85], [949.94, 157.49, 1058.3, 194.47], [909.87, 155.07, 1003.09, 189.88]], \"boxes_3d\": [[1.43, 1.58, 3.66, -10.94, 1.83, 11.67], [1.37, 1.56, 3.54, 1.87, 1.58, 29.45], [1.61, 1.69, 4.26, -0.08, 1.54, 36.94], [1.53, 1.63, 4.5, 3.32, 1.48, 39.91], [1.48, 1.6, 3.84, 16.47, 0.87, 30.25], [1.55, 1.61, 3.64, 16.02, 0.76, 33.49]], \"ry\": [1.72, -1.49, -1.46, -1.48, -0.2, -0.19]}\n```"
            }
        ]
    },
    {
        "id": 1202,
        "data_source": "Mono3DRefer",
        "scene_name": "006968",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.41, -1.71, -1.45, -1.72, -1.57], \"boxes_2d\": [[454.52, 188.34, 558.22, 256.76], [676.58, 173.24, 728.91, 211.55], [524.71, 181.3, 581.82, 225.46], [707.94, 173.73, 796.32, 244.02], [661.64, 175.1, 687.85, 197.07]], \"boxes_3d\": [[1.33, 1.71, 4.09, -2.31, 1.73, 16.75], [1.49, 1.56, 4.34, 3.82, 1.54, 30.55], [1.42, 1.53, 4.12, -1.98, 1.74, 25.67], [1.59, 1.59, 3.89, 3.48, 1.64, 18.46], [1.38, 1.64, 3.51, 4.24, 1.54, 47.44]], \"ry\": [-1.54, -1.59, -1.53, -1.54, -1.48]}\n```"
            }
        ]
    },
    {
        "id": 1203,
        "data_source": "Mono3DRefer",
        "scene_name": "006975",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.64, -1.72, 1.94], \"boxes_2d\": [[552.71, 182.05, 603.27, 224.41], [590.5, 172.76, 706.49, 269.05], [224.09, 181.85, 270.55, 202.78]], \"boxes_3d\": [[1.38, 1.51, 4.1, -1.26, 1.72, 26.01], [1.6, 1.66, 3.55, 0.57, 1.62, 13.94], [1.47, 1.62, 4.32, -26.87, 2.15, 53.56]], \"ry\": [-1.69, -1.68, 1.48]}\n```"
            }
        ]
    },
    {
        "id": 1204,
        "data_source": "Mono3DRefer",
        "scene_name": "006976",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.96], \"boxes_2d\": [[446.53, 178.22, 513.66, 204.38]], \"boxes_3d\": [[1.49, 1.64, 3.7, -7.74, 1.83, 43.05]], \"ry\": [3.14]}\n```"
            }
        ]
    },
    {
        "id": 1205,
        "data_source": "Mono3DRefer",
        "scene_name": "006982",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.63, -1.78, -1.76, -1.57, -1.8], \"boxes_2d\": [[0.0, 154.17, 47.37, 345.39], [226.27, 188.13, 294.7, 236.16], [196.89, 189.22, 259.52, 231.3], [173.69, 189.21, 209.19, 218.18], [257.76, 187.34, 355.08, 251.34]], \"boxes_3d\": [[2.01, 1.89, 4.91, -8.42, 1.85, 9.15], [1.52, 1.51, 3.1, -12.19, 2.07, 25.0], [1.53, 1.58, 3.53, -15.25, 2.19, 28.66], [1.46, 1.6, 3.71, -22.9, 2.37, 39.43], [1.57, 1.72, 3.52, -8.49, 1.98, 19.92]], \"ry\": [0.9, -2.23, -2.24, -2.1, -2.2]}\n```"
            }
        ]
    },
    {
        "id": 1206,
        "data_source": "Mono3DRefer",
        "scene_name": "006988",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.82, 1.76], \"boxes_2d\": [[174.69, 177.97, 462.32, 374.0], [414.14, 180.5, 529.98, 270.95]], \"boxes_3d\": [[1.65, 1.75, 3.39, -2.62, 1.71, 7.22], [1.57, 1.54, 4.01, -2.69, 1.73, 14.65]], \"ry\": [1.48, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 1207,
        "data_source": "Mono3DRefer",
        "scene_name": "006990",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.27, -1.72, -1.4, -1.83, -1.54], \"boxes_2d\": [[202.94, 188.19, 469.61, 340.34], [652.68, 165.97, 724.63, 218.92], [427.99, 171.41, 521.32, 238.56], [710.02, 163.78, 906.93, 304.68], [627.47, 166.29, 659.72, 192.96]], \"boxes_3d\": [[1.33, 1.71, 4.09, -2.96, 1.55, 8.67], [1.49, 1.56, 4.34, 2.33, 1.33, 22.71], [1.42, 1.53, 4.12, -3.2, 1.42, 17.54], [1.59, 1.59, 3.89, 2.5, 1.52, 10.21], [1.38, 1.64, 3.51, 1.84, 1.06, 39.42]], \"ry\": [-1.59, -1.62, -1.58, -1.6, -1.49]}\n```"
            }
        ]
    },
    {
        "id": 1208,
        "data_source": "Mono3DRefer",
        "scene_name": "007004",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.56, 1.63], \"boxes_2d\": [[371.3, 160.33, 433.56, 217.12], [401.03, 165.53, 446.32, 200.4]], \"boxes_3d\": [[1.5, 1.59, 3.6, -5.97, 0.96, 20.74], [1.36, 1.57, 4.06, -7.62, 0.77, 29.93]], \"ry\": [1.29, 1.39]}\n```"
            }
        ]
    },
    {
        "id": 1209,
        "data_source": "Mono3DRefer",
        "scene_name": "007009",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.58], \"boxes_2d\": [[582.93, 173.46, 622.7, 208.95]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.33, 1.47, 31.32]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 1210,
        "data_source": "Mono3DRefer",
        "scene_name": "007014",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.83, 1.65, 1.79, 1.73, -1.62, 2.99, 2.17, -1.81, 1.97], \"boxes_2d\": [[373.84, 179.73, 462.28, 241.62], [552.94, 179.13, 581.72, 199.34], [425.96, 181.56, 489.5, 225.2], [476.59, 182.72, 518.65, 210.61], [639.84, 175.59, 662.02, 194.62], [695.39, 169.85, 761.18, 190.48], [0.0, 207.54, 242.73, 373.33], [724.79, 176.67, 894.42, 286.4], [215.54, 198.23, 382.79, 285.37]], \"boxes_3d\": [[1.74, 1.65, 4.11, -5.9, 1.96, 22.5], [1.41, 1.76, 4.4, -3.12, 1.88, 53.09], [1.61, 1.64, 4.0, -6.07, 1.97, 28.99], [1.43, 1.7, 3.74, -6.16, 1.99, 39.68], [1.55, 1.66, 4.15, 3.43, 1.8, 61.34], [1.47, 1.7, 4.65, 8.82, 1.29, 54.12], [1.42, 1.54, 3.5, -6.04, 1.9, 8.52], [1.51, 1.75, 3.78, 3.04, 1.6, 11.95], [1.36, 1.51, 4.02, -5.94, 1.92, 14.22]], \"ry\": [1.57, 1.59, 1.59, 1.58, -1.56, -3.13, 1.56, -1.57, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 1211,
        "data_source": "Mono3DRefer",
        "scene_name": "007026",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.76, 1.25, 1.35, -1.68, -2.87, 1.7, -1.59, -1.9], \"boxes_2d\": [[0.0, 202.65, 158.86, 308.72], [1119.4, 150.91, 1241.0, 251.55], [958.92, 159.6, 1117.64, 252.21], [413.09, 182.35, 468.77, 220.01], [584.51, 165.18, 682.88, 207.75], [220.2, 184.38, 263.86, 214.76], [377.65, 175.08, 401.15, 197.09], [507.77, 190.09, 647.54, 270.48]], \"boxes_3d\": [[1.43, 1.74, 3.63, -9.12, 2.0, 12.44], [1.52, 1.55, 3.91, 10.41, 1.19, 12.6], [1.62, 1.84, 4.1, 8.51, 1.41, 14.81], [1.38, 1.73, 3.97, -6.89, 1.78, 29.0], [1.74, 1.58, 3.9, 0.99, 1.46, 30.82], [1.58, 1.68, 3.76, -20.48, 2.24, 40.21], [1.77, 1.77, 5.1, -18.79, 2.0, 61.28], [1.35, 1.64, 3.76, -0.84, 1.73, 14.64]], \"ry\": [1.14, 1.93, 1.86, -1.91, -2.83, 1.23, -1.89, -1.96]}\n```"
            }
        ]
    },
    {
        "id": 1212,
        "data_source": "Mono3DRefer",
        "scene_name": "007034",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.94, 1.8, -1.62], \"boxes_2d\": [[161.43, 220.39, 409.56, 368.42], [357.43, 185.03, 482.16, 276.19], [612.68, 181.34, 652.57, 217.81]], \"boxes_3d\": [[1.27, 1.54, 3.58, -3.81, 1.97, 9.04], [1.63, 1.65, 3.91, -3.89, 1.91, 15.22], [1.46, 1.53, 3.17, 0.89, 1.83, 30.87]], \"ry\": [1.55, 1.55, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 1213,
        "data_source": "Mono3DRefer",
        "scene_name": "007037",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.67, 1.89], \"boxes_2d\": [[509.59, 180.41, 557.28, 214.91], [207.04, 198.14, 422.89, 336.58]], \"boxes_3d\": [[1.46, 1.75, 4.23, -3.47, 1.82, 33.08], [1.39, 1.48, 3.76, -3.73, 1.78, 9.7]], \"ry\": [1.56, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 1214,
        "data_source": "Mono3DRefer",
        "scene_name": "007043",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.35, 1.58, -2.9, -1.62, -1.96], \"boxes_2d\": [[674.11, 180.54, 761.99, 241.43], [591.26, 178.45, 659.9, 238.82], [275.1, 180.49, 373.77, 220.88], [0.0, 188.11, 28.11, 213.8], [208.8, 200.31, 344.03, 266.9]], \"boxes_3d\": [[1.52, 1.55, 3.91, 2.87, 1.74, 20.17], [1.62, 1.84, 4.1, 0.43, 1.8, 21.56], [1.74, 1.58, 3.9, -12.96, 2.11, 32.83], [1.77, 1.77, 5.1, -44.03, 2.91, 52.9], [1.35, 1.64, 3.76, -8.16, 2.05, 17.41]], \"ry\": [1.49, 1.6, 3.01, -2.31, -2.4]}\n```"
            }
        ]
    },
    {
        "id": 1215,
        "data_source": "Mono3DRefer",
        "scene_name": "007047",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.66, 0.19, 0.3, 0.34, 0.38, 0.34, -2.62, -2.57], \"boxes_2d\": [[662.85, 179.87, 705.94, 211.85], [414.4, 179.41, 534.39, 217.81], [357.7, 181.17, 505.15, 228.51], [339.9, 178.44, 500.15, 233.26], [318.19, 182.3, 485.11, 242.75], [265.28, 180.44, 448.19, 252.59], [54.24, 182.88, 325.48, 289.75], [0.0, 193.76, 292.3, 325.75]], \"boxes_3d\": [[1.41, 1.65, 4.28, 3.46, 1.76, 34.44], [1.44, 1.8, 4.44, -5.38, 1.73, 28.82], [1.5, 1.8, 4.5, 0.0, 1.81, 24.4], [1.53, 1.8, 4.22, 0.41, 1.72, 21.38], [1.5, 1.46, 3.95, -5.46, 1.77, 18.97], [1.53, 1.64, 3.6, -5.75, 1.73, 16.53], [1.53, 1.51, 3.38, -6.5, 1.7, 11.31], [1.41, 1.63, 3.75, -6.19, 1.71, 8.87]], \"ry\": [-1.56, 0.0, 0.06, 0.09, 0.1, 0.01, -3.13, 3.12]}\n```"
            }
        ]
    },
    {
        "id": 1216,
        "data_source": "Mono3DRefer",
        "scene_name": "007058",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.83], \"boxes_2d\": [[378.97, 183.85, 471.07, 237.74]], \"boxes_3d\": [[1.51, 1.81, 4.07, -5.76, 1.88, 22.82]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 1217,
        "data_source": "Mono3DRefer",
        "scene_name": "007060",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-0.56, -0.47, 1.42, -0.38], \"boxes_2d\": [[539.8, 184.59, 791.54, 292.9], [440.45, 168.6, 695.64, 278.25], [295.85, 186.38, 349.84, 220.03], [434.19, 187.61, 627.2, 260.38]], \"boxes_3d\": [[1.41, 1.62, 3.6, 0.85, 1.62, 11.27], [1.77, 1.96, 4.39, -0.79, 1.71, 13.65], [1.37, 1.6, 4.5, -12.99, 1.99, 32.39], [1.4, 1.51, 3.98, -1.77, 1.76, 16.05]], \"ry\": [-0.49, -0.53, 1.04, -0.49]}\n```"
            }
        ]
    },
    {
        "id": 1218,
        "data_source": "Mono3DRefer",
        "scene_name": "007063",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.77, -1.74, 1.61], \"boxes_2d\": [[710.59, 184.74, 834.69, 275.52], [681.88, 179.77, 770.96, 245.36], [514.93, 178.12, 552.89, 215.41]], \"boxes_3d\": [[1.51, 1.56, 3.81, 3.0, 1.76, 14.2], [1.57, 1.68, 3.83, 2.98, 1.77, 19.44], [1.52, 1.5, 3.85, -3.31, 1.76, 31.6]], \"ry\": [-1.57, -1.59, 1.5]}\n```"
            }
        ]
    },
    {
        "id": 1219,
        "data_source": "Mono3DRefer",
        "scene_name": "007070",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.6, 2.55, 1.84, -1.56], \"boxes_2d\": [[602.43, 180.87, 668.27, 234.46], [990.56, 168.33, 1118.48, 205.24], [393.46, 182.52, 439.91, 210.65], [585.58, 176.89, 627.76, 215.38]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.61, 1.6, 20.33], [1.45, 1.67, 4.32, 18.4, 1.29, 30.02], [1.59, 1.72, 3.86, -11.6, 2.19, 43.42], [1.52, 1.67, 3.61, -0.16, 1.7, 30.55]], \"ry\": [-1.57, 3.1, 1.58, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 1220,
        "data_source": "Mono3DRefer",
        "scene_name": "007076",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.76], \"boxes_2d\": [[400.75, 175.56, 499.3, 243.96]], \"boxes_3d\": [[1.5, 1.62, 4.19, -3.92, 1.59, 18.12]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 1221,
        "data_source": "Mono3DRefer",
        "scene_name": "007082",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.7], \"boxes_2d\": [[647.05, 173.15, 715.63, 222.32]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.15, 1.45, 23.11]], \"ry\": [-1.61]}\n```"
            }
        ]
    },
    {
        "id": 1222,
        "data_source": "Mono3DRefer",
        "scene_name": "007090",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.36], \"boxes_2d\": [[321.76, 185.1, 451.62, 222.61]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.62, 1.86, 27.94]], \"ry\": [0.07]}\n```"
            }
        ]
    },
    {
        "id": 1223,
        "data_source": "Mono3DRefer",
        "scene_name": "007091",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.32, 1.77, -1.77, 1.46, 1.64, 1.5], \"boxes_2d\": [[740.73, 177.82, 940.06, 322.53], [420.67, 186.62, 533.0, 261.45], [688.78, 183.98, 790.47, 255.97], [669.56, 182.26, 740.81, 235.07], [525.45, 181.69, 565.56, 217.32], [661.79, 181.65, 699.6, 211.06]], \"boxes_3d\": [[1.62, 1.58, 3.89, 2.9, 1.7, 10.07], [1.45, 1.67, 4.43, -2.96, 1.8, 16.72], [1.47, 1.59, 3.62, 2.87, 1.74, 16.88], [1.44, 1.64, 4.5, 2.8, 1.75, 22.35], [1.46, 1.51, 3.24, -2.81, 1.86, 31.6], [1.38, 1.59, 4.19, 3.49, 1.83, 36.45]], \"ry\": [1.59, 1.6, -1.61, 1.58, 1.55, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 1224,
        "data_source": "Mono3DRefer",
        "scene_name": "007093",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.08, 1.95, 1.87, -1.34, 1.74], \"boxes_2d\": [[0.0, 206.62, 418.13, 374.0], [371.98, 195.37, 531.85, 306.84], [514.7, 196.2, 613.34, 264.42], [764.38, 176.37, 810.22, 206.39], [805.88, 173.99, 838.14, 195.93]], \"boxes_3d\": [[1.51, 1.63, 4.03, -3.21, 1.89, 6.42], [1.57, 1.44, 3.6, -2.62, 2.01, 12.6], [1.47, 1.51, 3.5, -1.1, 2.1, 18.26], [1.77, 1.75, 4.67, 11.08, 2.0, 44.96], [1.6, 1.68, 3.94, 16.06, 1.7, 54.61]], \"ry\": [1.63, 1.75, 1.81, -1.1, 2.03]}\n```"
            }
        ]
    },
    {
        "id": 1225,
        "data_source": "Mono3DRefer",
        "scene_name": "007095",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.26, 1.7, 1.48, 1.69], \"boxes_2d\": [[985.18, 189.76, 1241.0, 374.0], [500.14, 174.51, 571.73, 227.35], [694.99, 175.59, 739.41, 214.5], [573.43, 175.64, 614.26, 204.28]], \"boxes_3d\": [[1.66, 1.56, 3.42, 2.81, 1.75, 2.5], [1.45, 1.64, 4.21, -2.21, 1.53, 22.12], [1.62, 1.58, 3.89, 4.69, 1.76, 32.17], [1.45, 1.67, 4.43, -0.84, 1.62, 39.13]], \"ry\": [-1.48, 1.6, 1.62, 1.67]}\n```"
            }
        ]
    },
    {
        "id": 1226,
        "data_source": "Mono3DRefer",
        "scene_name": "007097",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.4, -1.48, -1.56, -1.5], \"boxes_2d\": [[453.56, 176.5, 546.48, 244.0], [519.98, 175.51, 567.11, 213.85], [601.2, 169.86, 640.92, 206.07], [565.62, 168.18, 597.05, 195.91]], \"boxes_3d\": [[1.47, 1.59, 4.03, -2.41, 1.36, 17.8], [1.41, 1.54, 3.36, -2.24, 1.19, 28.33], [1.52, 1.67, 4.38, 0.92, 1.03, 32.75], [1.56, 1.59, 3.65, -1.15, 0.81, 42.73]], \"ry\": [-1.54, -1.57, -1.53, -1.53]}\n```"
            }
        ]
    },
    {
        "id": 1227,
        "data_source": "Mono3DRefer",
        "scene_name": "007123",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [0.86, -0.87, -2.71, -2.99, -0.44, -0.56], \"boxes_2d\": [[0.0, 218.09, 253.72, 374.0], [1007.79, 137.15, 1241.0, 374.0], [237.41, 187.55, 465.25, 261.96], [339.93, 187.76, 505.31, 240.79], [844.33, 176.17, 1115.5, 290.36], [884.18, 176.73, 1241.0, 325.48]], \"boxes_3d\": [[1.38, 1.66, 4.38, -5.03, 1.75, 4.88], [1.74, 1.66, 4.37, 4.65, 1.58, 3.7], [1.47, 1.67, 4.28, -5.48, 1.81, 15.43], [1.38, 1.67, 4.37, -5.29, 1.84, 20.66], [1.54, 1.58, 3.2, 5.3, 1.61, 10.72], [1.51, 1.72, 4.03, 5.48, 1.57, 8.34]], \"ry\": [0.09, -0.01, -3.04, 3.04, 0.01, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 1228,
        "data_source": "Mono3DRefer",
        "scene_name": "007140",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.32, -0.96, 1.7, 1.63, -0.04], \"boxes_2d\": [[402.43, 172.74, 540.07, 270.03], [1218.42, 136.54, 1241.0, 337.64], [518.73, 173.61, 579.46, 221.23], [588.48, 172.62, 613.33, 192.1], [949.04, 125.87, 1186.15, 230.18]], \"boxes_3d\": [[1.77, 1.75, 4.67, -2.81, 1.8, 15.52], [1.47, 1.52, 4.43, 6.78, 1.17, 4.73], [1.6, 1.68, 3.94, -2.18, 1.65, 26.38], [1.42, 1.66, 4.11, -0.68, 1.43, 55.3], [1.66, 1.15, 3.39, 7.89, 0.94, 12.78]], \"ry\": [-1.5, -0.03, 1.62, 1.61, 0.51]}\n```"
            }
        ]
    },
    {
        "id": 1229,
        "data_source": "Mono3DRefer",
        "scene_name": "007147",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=707.05, cx=604.08, cy=180.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.88, -3.02, -2.6], \"boxes_2d\": [[510.73, 157.13, 746.01, 251.35], [195.37, 146.41, 471.42, 252.08], [0.0, 148.79, 85.45, 256.99]], \"boxes_3d\": [[1.46, 1.53, 3.8, 0.32, 1.09, 12.29], [1.53, 1.4, 3.94, -4.24, 1.02, 11.45], [1.48, 1.55, 3.29, -9.75, 1.06, 10.14]], \"ry\": [2.9, 2.92, 2.93]}\n```"
            }
        ]
    },
    {
        "id": 1230,
        "data_source": "Mono3DRefer",
        "scene_name": "007153",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.85, 1.91, 1.86, -1.26], \"boxes_2d\": [[508.19, 186.84, 591.36, 239.55], [564.76, 185.22, 627.34, 227.09], [619.51, 186.3, 670.03, 219.05], [794.28, 170.48, 833.21, 192.57]], \"boxes_3d\": [[1.51, 1.63, 4.03, -1.89, 1.99, 23.42], [1.57, 1.44, 3.6, -0.54, 2.1, 29.63], [1.47, 1.51, 3.5, 1.71, 2.14, 35.06], [1.77, 1.75, 4.67, 17.02, 1.6, 60.17]], \"ry\": [1.77, 1.89, 1.91, -0.98]}\n```"
            }
        ]
    },
    {
        "id": 1231,
        "data_source": "Mono3DRefer",
        "scene_name": "007155",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.93], \"boxes_2d\": [[178.21, 181.46, 498.15, 374.0]], \"boxes_3d\": [[1.57, 1.54, 4.01, -2.36, 1.67, 7.29]], \"ry\": [1.62]}\n```"
            }
        ]
    },
    {
        "id": 1232,
        "data_source": "Mono3DRefer",
        "scene_name": "007158",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.65, -0.32], \"boxes_2d\": [[653.74, 162.26, 681.96, 185.85], [795.32, 162.17, 921.1, 211.61]], \"boxes_3d\": [[1.47, 1.55, 3.67, 3.74, 0.83, 47.36], [1.62, 1.58, 3.78, 8.48, 1.29, 24.94]], \"ry\": [-1.57, 0.0]}\n```"
            }
        ]
    },
    {
        "id": 1233,
        "data_source": "Mono3DRefer",
        "scene_name": "007175",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.58], \"boxes_2d\": [[545.53, 178.79, 573.49, 203.72]], \"boxes_3d\": [[1.41, 1.59, 4.47, -3.07, 1.79, 43.68]], \"ry\": [1.51]}\n```"
            }
        ]
    },
    {
        "id": 1234,
        "data_source": "Mono3DRefer",
        "scene_name": "007177",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.03, 1.81, 1.72, -1.57, -1.72], \"boxes_2d\": [[0.0, 184.72, 332.54, 374.0], [388.6, 182.09, 477.6, 243.86], [475.83, 181.26, 522.71, 212.0], [630.84, 175.57, 654.71, 195.21], [670.66, 172.47, 762.8, 245.88]], \"boxes_3d\": [[1.72, 1.8, 4.16, -4.58, 1.86, 7.34], [1.62, 1.66, 3.81, -5.11, 1.9, 21.14], [1.46, 1.67, 4.92, -5.68, 1.91, 37.33], [1.51, 1.84, 4.1, 2.63, 1.75, 58.17], [1.61, 1.67, 3.62, 2.48, 1.63, 17.79]], \"ry\": [-1.57, 1.57, 1.57, -1.52, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 1235,
        "data_source": "Mono3DRefer",
        "scene_name": "007184",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.64, 2.12, -0.42], \"boxes_2d\": [[770.41, 167.35, 846.24, 232.58], [351.24, 182.24, 504.69, 246.91], [1031.94, 158.52, 1137.75, 193.41]], \"boxes_3d\": [[1.56, 1.65, 3.69, 5.14, 1.45, 19.2], [1.42, 1.67, 4.53, -4.52, 1.68, 18.55], [1.54, 1.63, 3.74, 21.94, 0.92, 33.5]], \"ry\": [-1.38, 1.88, 0.15]}\n```"
            }
        ]
    },
    {
        "id": 1236,
        "data_source": "Mono3DRefer",
        "scene_name": "007185",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.07, -1.84, -1.7, 1.8, 1.73, -1.72, 1.7, 1.93, 2.05], \"boxes_2d\": [[14.94, 196.05, 413.8, 374.0], [775.65, 182.89, 921.72, 280.65], [742.95, 177.39, 836.96, 241.2], [448.0, 184.37, 543.14, 249.39], [504.62, 181.35, 564.98, 228.52], [715.5, 180.15, 782.84, 228.22], [535.46, 178.04, 584.6, 220.02], [578.42, 178.34, 626.62, 210.14], [664.79, 175.77, 714.07, 199.43]], \"boxes_3d\": [[1.43, 1.7, 3.95, -3.55, 1.72, 7.34], [1.51, 1.6, 3.24, 4.07, 1.7, 12.93], [1.45, 1.74, 4.1, 4.44, 1.58, 18.53], [1.54, 1.68, 3.79, -3.0, 1.87, 19.41], [1.49, 1.52, 3.35, -2.55, 1.8, 24.8], [1.53, 1.65, 4.37, 4.75, 1.79, 25.36], [1.74, 1.65, 4.18, -2.2, 1.99, 32.27], [1.64, 1.45, 3.48, -0.39, 1.94, 39.07], [1.54, 1.64, 4.08, 5.44, 1.75, 49.25]], \"ry\": [1.64, -1.54, -1.47, 1.65, 1.63, -1.53, 1.63, 1.92, 2.16]}\n```"
            }
        ]
    },
    {
        "id": 1237,
        "data_source": "Mono3DRefer",
        "scene_name": "007190",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.94], \"boxes_2d\": [[807.23, 176.66, 928.12, 237.24]], \"boxes_3d\": [[1.4, 1.55, 4.06, 6.57, 1.52, 18.98]], \"ry\": [-1.62]}\n```"
            }
        ]
    },
    {
        "id": 1238,
        "data_source": "Mono3DRefer",
        "scene_name": "007191",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.77, 1.75, 1.68], \"boxes_2d\": [[388.4, 165.29, 514.03, 266.35], [465.31, 184.16, 533.37, 232.19], [524.78, 176.74, 559.45, 208.76]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.47, 1.86, 16.48], [1.47, 1.62, 3.79, -3.71, 1.87, 24.53], [1.7, 1.53, 3.82, -3.81, 1.94, 40.65]], \"ry\": [1.57, 1.6, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 1239,
        "data_source": "Mono3DRefer",
        "scene_name": "007198",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.52, 1.73, 1.72], \"boxes_2d\": [[888.44, 171.07, 976.99, 257.7], [770.05, 175.69, 817.47, 206.72], [819.43, 174.63, 853.92, 196.1]], \"boxes_3d\": [[1.66, 1.56, 3.42, 7.03, 1.64, 15.67], [1.45, 1.64, 4.21, 9.19, 1.61, 35.98], [1.45, 1.67, 4.43, 16.07, 1.59, 51.1]], \"ry\": [-1.11, 1.98, 2.03]}\n```"
            }
        ]
    },
    {
        "id": 1240,
        "data_source": "Mono3DRefer",
        "scene_name": "007218",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.74, 2.08, 0.25, 1.87], \"boxes_2d\": [[297.44, 185.31, 362.1, 235.01], [0.0, 211.23, 47.75, 313.0], [17.42, 201.73, 117.53, 229.68], [790.47, 178.49, 836.03, 204.57]], \"boxes_3d\": [[1.78, 1.72, 4.0, -11.03, 2.29, 28.55], [1.47, 1.69, 3.74, -9.9, 2.1, 10.16], [1.43, 1.55, 4.37, -31.24, 3.16, 41.65], [1.48, 1.61, 3.61, 12.17, 1.83, 43.18]], \"ry\": [1.37, 1.32, -0.39, 2.15]}\n```"
            }
        ]
    },
    {
        "id": 1241,
        "data_source": "Mono3DRefer",
        "scene_name": "007222",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.59, -1.44, -1.55, -0.98, -0.87], \"boxes_2d\": [[610.18, 178.41, 684.16, 243.6], [517.02, 168.84, 589.51, 226.16], [629.23, 168.02, 679.46, 214.94], [1159.5, 132.98, 1241.0, 201.04], [1060.06, 136.58, 1218.96, 195.48]], \"boxes_3d\": [[1.37, 1.56, 3.54, 0.79, 1.52, 17.11], [1.61, 1.69, 4.26, -1.71, 1.53, 22.58], [1.53, 1.63, 4.5, 1.6, 1.4, 26.0], [1.48, 1.6, 3.84, 15.12, 0.61, 16.89], [1.55, 1.61, 3.64, 14.74, 0.59, 20.17]], \"ry\": [-1.55, -1.51, -1.49, -0.25, -0.25]}\n```"
            }
        ]
    },
    {
        "id": 1242,
        "data_source": "Mono3DRefer",
        "scene_name": "007246",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.78, 2.03, -1.48], \"boxes_2d\": [[610.31, 163.17, 648.43, 185.96], [0.0, 181.98, 397.62, 374.0], [665.93, 163.22, 705.17, 198.89]], \"boxes_3d\": [[1.43, 1.68, 4.19, 1.31, 0.84, 47.82], [1.7, 1.82, 4.45, -3.84, 1.81, 7.56], [1.57, 1.56, 2.62, 3.5, 1.17, 33.4]], \"ry\": [1.81, 1.57, -1.38]}\n```"
            }
        ]
    },
    {
        "id": 1243,
        "data_source": "Mono3DRefer",
        "scene_name": "007251",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.59], \"boxes_2d\": [[433.95, 185.71, 479.57, 228.55]], \"boxes_3d\": [[1.65, 1.75, 3.39, -6.4, 2.21, 30.22]], \"ry\": [1.39]}\n```"
            }
        ]
    },
    {
        "id": 1244,
        "data_source": "Mono3DRefer",
        "scene_name": "007257",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[981.82, 181.55, 1022.75, 215.19]], \"boxes_3d\": [[1.43, 1.55, 3.91, 18.08, 1.85, 33.26]], \"ry\": [-1.06]}\n```"
            }
        ]
    },
    {
        "id": 1245,
        "data_source": "Mono3DRefer",
        "scene_name": "007259",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.36, -2.05, -1.91, -0.57, -0.4, 1.68], \"boxes_2d\": [[547.0, 159.84, 621.55, 213.16], [131.83, 206.07, 237.75, 272.98], [0.0, 210.13, 98.54, 301.26], [1009.87, 147.95, 1241.0, 247.18], [868.59, 150.73, 1126.22, 227.72], [603.02, 157.28, 644.41, 190.3]], \"boxes_3d\": [[1.77, 1.75, 4.67, -0.87, 1.37, 26.42], [1.72, 1.39, 3.07, -12.36, 2.73, 20.87], [1.46, 1.52, 2.75, -11.23, 2.21, 13.62], [1.48, 1.63, 3.98, 8.91, 1.12, 11.69], [1.47, 1.52, 4.43, 7.79, 1.07, 14.89], [1.6, 1.68, 3.94, 0.73, 0.86, 37.23]], \"ry\": [-1.39, -2.58, -2.59, 0.07, 0.08, 1.7]}\n```"
            }
        ]
    },
    {
        "id": 1246,
        "data_source": "Mono3DRefer",
        "scene_name": "007261",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.73, -1.72, 1.75], \"boxes_2d\": [[674.01, 179.01, 748.32, 237.65], [659.13, 178.33, 716.76, 222.87], [404.83, 182.62, 532.29, 276.72]], \"boxes_3d\": [[1.6, 1.53, 4.18, 2.93, 1.8, 21.95], [1.56, 1.57, 3.98, 2.87, 1.79, 27.63], [1.55, 1.68, 4.42, -2.66, 1.76, 14.33]], \"ry\": [-1.6, -1.62, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 1247,
        "data_source": "Mono3DRefer",
        "scene_name": "007267",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [-1.77, -1.23, -1.59], \"boxes_2d\": [[696.62, 177.91, 846.09, 283.55], [117.65, 187.11, 437.14, 374.0], [645.28, 177.85, 688.58, 214.17]], \"boxes_3d\": [[1.49, 1.56, 4.34, 2.52, 1.59, 12.47], [1.42, 1.53, 4.12, -3.04, 1.6, 7.49], [1.38, 1.64, 3.51, 2.25, 1.59, 29.37]], \"ry\": [-1.58, -1.61, -1.51]}\n```"
            }
        ]
    },
    {
        "id": 1248,
        "data_source": "Mono3DRefer",
        "scene_name": "007268",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.95, 1.86], \"boxes_2d\": [[0.0, 202.87, 40.72, 254.42], [573.4, 185.2, 629.82, 220.35]], \"boxes_3d\": [[1.48, 1.65, 3.6, -19.6, 2.48, 22.58], [1.48, 1.61, 3.61, -0.36, 2.07, 32.98]], \"ry\": [1.24, 1.85]}\n```"
            }
        ]
    },
    {
        "id": 1249,
        "data_source": "Mono3DRefer",
        "scene_name": "007270",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.57, 1.45], \"boxes_2d\": [[469.38, 176.82, 513.34, 221.93], [456.02, 181.67, 493.33, 207.72]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.83, 1.86, 29.21], [1.47, 1.7, 4.39, -8.23, 2.01, 43.47]], \"ry\": [1.41, 1.27]}\n```"
            }
        ]
    },
    {
        "id": 1250,
        "data_source": "Mono3DRefer",
        "scene_name": "007275",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.81], \"boxes_2d\": [[313.12, 191.96, 530.01, 344.58]], \"boxes_3d\": [[1.44, 1.67, 3.88, -2.14, 1.72, 9.1]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 1251,
        "data_source": "Mono3DRefer",
        "scene_name": "007277",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.99, -1.19, 1.76, 1.7, -1.57, -1.7], \"boxes_2d\": [[790.84, 188.38, 1217.1, 374.0], [179.72, 182.04, 413.81, 321.05], [429.88, 181.41, 499.82, 232.66], [491.89, 182.21, 532.91, 210.09], [634.07, 176.03, 656.42, 194.41], [664.46, 173.89, 738.05, 233.13]], \"boxes_3d\": [[1.47, 1.55, 3.37, 2.63, 1.62, 5.8], [1.72, 1.8, 4.16, -4.54, 1.87, 11.13], [1.62, 1.66, 3.81, -4.98, 1.93, 25.04], [1.46, 1.67, 4.92, -5.52, 2.01, 41.09], [1.51, 1.84, 4.1, 3.01, 1.8, 62.0], [1.61, 1.67, 3.62, 2.61, 1.66, 21.62]], \"ry\": [-1.58, -1.57, 1.57, 1.57, -1.52, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 1252,
        "data_source": "Mono3DRefer",
        "scene_name": "007285",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.85], \"boxes_2d\": [[326.42, 191.75, 486.14, 298.44]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.31, 1.82, 12.34]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 1253,
        "data_source": "Mono3DRefer",
        "scene_name": "007294",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.74, -1.75, -1.72, 1.64], \"boxes_2d\": [[398.77, 187.68, 515.77, 278.39], [686.14, 176.06, 809.76, 272.45], [670.83, 182.69, 750.42, 242.08], [531.45, 179.43, 569.09, 210.82]], \"boxes_3d\": [[1.46, 1.6, 3.33, -2.81, 1.77, 13.69], [1.64, 1.7, 3.54, 2.52, 1.72, 14.19], [1.37, 1.51, 3.39, 2.47, 1.64, 18.64], [1.55, 1.68, 4.42, -3.14, 1.91, 38.25]], \"ry\": [1.54, -1.58, -1.59, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 1254,
        "data_source": "Mono3DRefer",
        "scene_name": "007297",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.81, 1.67, 1.9], \"boxes_2d\": [[368.27, 179.33, 495.2, 279.79], [489.97, 181.58, 544.87, 228.93], [540.92, 175.01, 589.08, 204.94]], \"boxes_3d\": [[1.7, 1.53, 3.82, -3.4, 1.84, 14.25], [1.5, 1.53, 3.38, -3.17, 1.81, 24.92], [1.56, 1.56, 3.6, -2.45, 1.7, 39.58]], \"ry\": [1.58, 1.55, 1.83]}\n```"
            }
        ]
    },
    {
        "id": 1255,
        "data_source": "Mono3DRefer",
        "scene_name": "007299",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [2.39, -1.99, 1.96, 1.81, 1.72], \"boxes_2d\": [[0.0, 183.13, 211.25, 374.0], [747.57, 140.38, 1100.83, 352.13], [88.26, 180.73, 389.2, 374.0], [322.67, 194.03, 459.28, 279.15], [471.6, 177.14, 519.42, 218.54]], \"boxes_3d\": [[1.73, 1.65, 3.96, -3.47, 1.78, 2.78], [1.78, 1.89, 4.37, 3.07, 1.53, 8.34], [1.68, 1.51, 3.29, -3.54, 1.77, 7.45], [1.39, 1.66, 4.04, -4.28, 1.86, 14.59], [1.86, 1.67, 4.13, -5.47, 2.08, 34.71]], \"ry\": [1.54, -1.65, 1.53, 1.53, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 1256,
        "data_source": "Mono3DRefer",
        "scene_name": "007317",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [1.82, 1.84, 1.85], \"boxes_2d\": [[11.96, 190.55, 131.99, 264.28], [90.66, 200.3, 174.24, 246.73], [644.68, 183.08, 695.94, 214.75]], \"boxes_3d\": [[1.78, 1.72, 4.0, -14.94, 2.31, 20.22], [1.48, 1.65, 3.6, -17.6, 2.55, 26.69], [1.48, 1.61, 3.61, 3.05, 2.01, 36.23]], \"ry\": [1.19, 1.27, 1.94]}\n```"
            }
        ]
    },
    {
        "id": 1257,
        "data_source": "Mono3DRefer",
        "scene_name": "007325",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.66, 0.23, -2.83, -0.32, -2.79, 0.52, 0.6, -0.63, -0.79], \"boxes_2d\": [[635.46, 183.97, 678.15, 214.59], [378.56, 180.62, 500.16, 224.56], [278.63, 184.95, 445.57, 246.03], [742.07, 181.76, 905.18, 241.82], [141.34, 170.72, 392.99, 269.89], [55.13, 184.89, 375.37, 289.04], [0.0, 191.59, 332.09, 323.56], [925.43, 182.86, 1241.0, 313.4], [1023.87, 193.53, 1241.0, 356.16]], \"boxes_3d\": [[1.32, 1.63, 4.1, 2.11, 1.86, 34.01], [1.58, 1.56, 4.25, -6.46, 1.9, 27.43], [1.5, 1.58, 3.88, -6.52, 1.85, 19.12], [1.5, 1.62, 3.88, 5.63, 1.76, 19.43], [1.77, 1.68, 4.12, -6.59, 1.76, 14.13], [1.51, 1.59, 4.28, -6.21, 1.73, 11.54], [1.5, 1.49, 3.86, -5.8, 1.76, 9.16], [1.55, 1.58, 3.51, 6.31, 1.71, 9.71], [1.4, 1.59, 3.49, 6.4, 1.63, 7.41]], \"ry\": [-1.6, -0.0, 3.13, -0.04, 3.07, 0.04, 0.05, -0.07, -0.09]}\n```"
            }
        ]
    },
    {
        "id": 1258,
        "data_source": "Mono3DRefer",
        "scene_name": "007331",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-1.55], \"boxes_2d\": [[590.81, 171.47, 622.3, 202.59]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.18, 1.6, 40.46]], \"ry\": [-1.55]}\n```"
            }
        ]
    },
    {
        "id": 1259,
        "data_source": "Mono3DRefer",
        "scene_name": "007358",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\"], \"angle\": [2.22, 1.91, 1.51], \"boxes_2d\": [[0.0, 206.79, 428.52, 374.0], [212.98, 191.66, 423.53, 358.97], [502.23, 182.13, 526.77, 205.16]], \"boxes_3d\": [[1.56, 1.56, 3.6, -2.34, 1.8, 3.57], [1.7, 1.43, 3.2, -3.54, 1.97, 9.2], [1.68, 1.63, 3.9, -7.38, 2.4, 55.39]], \"ry\": [1.67, 1.55, 1.38]}\n```"
            }
        ]
    },
    {
        "id": 1260,
        "data_source": "Mono3DRefer",
        "scene_name": "007370",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [1.71, 1.52], \"boxes_2d\": [[363.97, 169.91, 471.82, 261.87], [432.28, 176.86, 480.7, 215.96]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.98, 1.66, 15.34], [1.47, 1.7, 4.39, -6.41, 1.66, 29.67]], \"ry\": [1.46, 1.31]}\n```"
            }
        ]
    },
    {
        "id": 1261,
        "data_source": "Mono3DRefer",
        "scene_name": "007383",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [1.77, -1.78, 1.7, 2.03, -1.82], \"boxes_2d\": [[392.94, 173.22, 508.3, 265.09], [682.46, 163.67, 778.87, 231.12], [459.28, 174.09, 528.76, 239.04], [0.0, 160.03, 396.67, 374.0], [721.89, 178.59, 853.34, 257.92]], \"boxes_3d\": [[1.73, 1.65, 3.96, -3.35, 1.76, 15.69], [1.78, 1.89, 4.37, 3.4, 1.56, 21.42], [1.68, 1.51, 3.29, -3.25, 1.73, 20.46], [1.77, 1.71, 4.28, -3.49, 1.72, 6.62], [1.45, 1.71, 3.93, 3.55, 1.59, 15.33]], \"ry\": [1.56, -1.62, 1.54, 1.56, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 1262,
        "data_source": "Mono3DRefer",
        "scene_name": "007390",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.28, 2.2], \"boxes_2d\": [[0.0, 172.09, 121.09, 240.89], [110.09, 182.54, 218.35, 227.85]], \"boxes_3d\": [[1.78, 1.6, 4.29, -16.48, 1.79, 20.81], [1.5, 1.47, 3.62, -16.06, 1.87, 26.13]], \"ry\": [1.62, 1.65]}\n```"
            }
        ]
    },
    {
        "id": 1263,
        "data_source": "Mono3DRefer",
        "scene_name": "007406",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.59, 0.61], \"boxes_2d\": [[569.63, 185.18, 653.77, 266.1], [0.0, 203.84, 26.88, 243.05]], \"boxes_3d\": [[1.56, 1.65, 3.69, -0.04, 1.86, 16.12], [1.43, 1.45, 3.5, -24.82, 2.67, 27.69]], \"ry\": [-1.59, -0.11]}\n```"
            }
        ]
    },
    {
        "id": 1264,
        "data_source": "Mono3DRefer",
        "scene_name": "007413",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-0.39, -1.65], \"boxes_2d\": [[806.49, 166.38, 970.04, 230.39], [620.65, 169.37, 653.02, 196.32]], \"boxes_3d\": [[1.62, 1.58, 3.78, 7.39, 1.47, 19.48], [1.47, 1.55, 3.67, 1.48, 1.31, 41.68]], \"ry\": [-0.04, -1.62]}\n```"
            }
        ]
    },
    {
        "id": 1265,
        "data_source": "Mono3DRefer",
        "scene_name": "007414",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.79, -1.98, 2.01, -1.79, -1.77, 1.73, 1.73, -1.71], \"boxes_2d\": [[1085.21, 174.48, 1241.0, 374.0], [693.54, 182.08, 997.29, 361.76], [0.0, 197.7, 275.08, 339.99], [607.4, 171.22, 728.3, 260.59], [572.05, 177.5, 662.59, 239.73], [287.25, 192.18, 370.56, 251.45], [326.11, 188.28, 387.35, 232.24], [554.11, 181.02, 611.83, 223.82]], \"boxes_3d\": [[1.51, 1.69, 4.04, 3.66, 1.51, 3.81], [1.46, 1.58, 3.93, 2.18, 1.57, 8.01], [1.5, 1.68, 4.03, -6.41, 1.91, 10.26], [1.6, 1.7, 3.56, 1.01, 1.59, 14.89], [1.52, 1.73, 3.89, 0.05, 1.67, 19.94], [1.44, 1.6, 3.79, -7.91, 2.03, 20.5], [1.42, 1.51, 3.71, -9.14, 2.01, 26.15], [1.37, 1.51, 3.49, -1.04, 1.66, 25.15]], \"ry\": [-1.06, -1.72, 1.46, -1.72, -1.77, 1.37, 1.39, -1.75]}\n```"
            }
        ]
    },
    {
        "id": 1266,
        "data_source": "Mono3DRefer",
        "scene_name": "007430",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-2.1, -0.97, -1.89, -1.79, -1.44, 1.65, -1.64, 1.61], \"boxes_2d\": [[833.92, 195.6, 1241.0, 374.0], [0.0, 211.75, 356.51, 374.0], [735.6, 187.04, 957.45, 327.04], [686.93, 180.01, 806.83, 266.74], [442.69, 183.23, 531.84, 255.08], [509.9, 178.27, 561.58, 219.64], [640.87, 175.63, 675.51, 205.25], [558.92, 174.18, 582.09, 195.11]], \"boxes_3d\": [[1.49, 1.65, 4.06, 2.77, 1.68, 4.36], [1.48, 1.58, 3.98, -3.09, 1.8, 4.33], [1.44, 1.56, 3.76, 2.82, 1.66, 9.6], [1.53, 1.56, 3.68, 2.61, 1.69, 14.76], [1.48, 1.54, 4.05, -2.85, 1.75, 17.25], [1.48, 1.67, 4.3, -2.86, 1.7, 28.2], [1.46, 1.54, 3.62, 2.45, 1.62, 37.74], [1.52, 1.57, 4.42, -3.0, 1.65, 55.04]], \"ry\": [-1.57, -1.56, -1.61, -1.62, -1.6, 1.55, -1.57, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 1267,
        "data_source": "Mono3DRefer",
        "scene_name": "007435",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.84, -1.71, -1.7, 1.7, -2.19, 1.77, -1.86], \"boxes_2d\": [[740.28, 181.43, 850.02, 258.37], [718.78, 184.15, 790.61, 238.12], [703.36, 182.58, 759.58, 225.27], [567.89, 182.11, 594.89, 202.49], [903.69, 157.83, 1241.0, 374.0], [469.88, 186.68, 534.41, 230.15], [790.57, 193.43, 987.08, 309.95]], \"boxes_3d\": [[1.59, 1.59, 3.34, 4.15, 1.8, 16.8], [1.47, 1.6, 3.7, 4.28, 1.84, 22.0], [1.49, 1.64, 3.52, 4.51, 1.88, 27.41], [1.45, 1.6, 3.2, -2.13, 2.16, 53.95], [1.77, 1.77, 5.1, 3.87, 1.71, 4.96], [1.47, 1.66, 3.76, -3.99, 2.01, 27.02], [1.41, 1.66, 3.86, 4.0, 1.77, 11.14]], \"ry\": [-1.6, -1.52, -1.54, 1.66, -1.55, 1.62, -1.53]}\n```"
            }
        ]
    },
    {
        "id": 1268,
        "data_source": "Mono3DRefer",
        "scene_name": "007438",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.59], \"boxes_2d\": [[553.48, 179.23, 598.53, 219.44]], \"boxes_3d\": [[1.41, 1.59, 4.47, -1.32, 1.67, 27.93]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 1269,
        "data_source": "Mono3DRefer",
        "scene_name": "007469",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.34, cx=600.39, cy=181.51. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.62], \"boxes_2d\": [[572.94, 158.83, 604.12, 184.67]], \"boxes_3d\": [[1.49, 1.68, 4.08, -0.73, 0.17, 43.92]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 1270,
        "data_source": "Mono3DRefer",
        "scene_name": "007471",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.61], \"boxes_2d\": [[531.9, 174.39, 561.02, 201.7]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.16, 1.83, 47.48]], \"ry\": [1.53]}\n```"
            }
        ]
    },
    {
        "id": 1271,
        "data_source": "Mono3DRefer",
        "scene_name": "007475",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=718.86, cx=607.19, cy=185.22. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\", \"Car\", \"Car\", \"Car\"], \"angle\": [-1.52, -1.11, -1.2, -1.3, -1.31], \"boxes_2d\": [[674.88, 180.14, 737.11, 235.66], [0.0, 196.03, 257.49, 339.49], [155.47, 196.44, 271.13, 256.81], [271.08, 193.61, 375.66, 255.15], [763.24, 183.51, 798.35, 204.53]], \"boxes_3d\": [[1.6, 1.76, 3.84, 3.16, 1.45, 22.87], [1.55, 1.63, 3.92, -6.67, 1.76, 10.28], [1.51, 1.58, 4.12, -11.62, 1.9, 21.43], [1.38, 1.56, 3.83, -7.46, 1.65, 19.13], [1.39, 1.56, 3.45, 12.13, 1.29, 50.33]], \"ry\": [-1.38, -1.67, -1.69, -1.66, -1.08]}\n```"
            }
        ]
    }
]