[
    {
        "id": 0,
        "data_source": "Mono3DRefer",
        "scene_name": "000003",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[614.24, 181.78, 727.31, 284.77]], \"boxes_3d\": [[1.57, 1.73, 4.15, 1.0, 1.75, 13.22]], \"ry\": [1.62]}\n```"
            }
        ]
    },
    {
        "id": 1,
        "data_source": "Mono3DRefer",
        "scene_name": "000011",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.74], \"boxes_2d\": [[0.0, 217.12, 85.92, 374.0], [444.29, 171.04, 504.95, 225.82]], \"boxes_3d\": [[1.5, 1.46, 3.7, -5.12, 1.85, 4.13], [1.86, 1.57, 3.83, -4.95, 1.83, 26.64]], \"ry\": [1.56, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 2,
        "data_source": "Mono3DRefer",
        "scene_name": "000012",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[662.2, 185.85, 690.21, 205.03]], \"boxes_3d\": [[1.48, 1.36, 3.51, 5.35, 2.56, 58.84]], \"ry\": [-1.75]}\n```"
            }
        ]
    },
    {
        "id": 3,
        "data_source": "Mono3DRefer",
        "scene_name": "000014",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[626.59, 176.07, 654.95, 194.24]], \"boxes_3d\": [[1.44, 1.68, 4.39, 2.57, 1.72, 59.81]], \"ry\": [1.77]}\n```"
            }
        ]
    },
    {
        "id": 4,
        "data_source": "Mono3DRefer",
        "scene_name": "000034",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [0.5, -2.99], \"boxes_2d\": [[46.17, 196.15, 328.4, 286.09], [466.96, 184.85, 522.12, 207.02]], \"boxes_3d\": [[1.56, 1.71, 4.5, -8.15, 2.06, 14.12], [1.44, 1.52, 3.5, -7.84, 2.28, 49.04]], \"ry\": [-0.02, 3.13]}\n```"
            }
        ]
    },
    {
        "id": 5,
        "data_source": "Mono3DRefer",
        "scene_name": "000038",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.59, -1.27, -1.13, -1.01, 1.73, 1.9, -0.87, -0.94, 1.8, 1.79, 1.81], \"boxes_2d\": [[592.08, 176.5, 637.55, 219.52], [895.35, 158.55, 1241.0, 374.0], [817.68, 176.9, 1038.04, 302.31], [749.97, 177.62, 940.82, 262.93], [489.07, 180.53, 521.27, 201.03], [302.47, 188.9, 409.18, 250.55], [682.53, 173.56, 796.81, 220.86], [659.69, 174.94, 745.56, 209.34], [434.34, 175.49, 472.4, 199.91], [456.14, 177.0, 487.16, 197.96], [412.71, 177.61, 437.08, 195.86]], \"boxes_3d\": [[1.56, 1.65, 3.69, 0.12, 1.72, 28.28], [1.63, 1.61, 3.96, 4.38, 1.54, 6.69], [1.49, 1.63, 3.36, 4.61, 1.57, 10.4], [1.41, 1.6, 4.09, 4.63, 1.52, 14.02], [1.37, 1.64, 3.92, -7.38, 1.92, 50.9], [1.38, 1.47, 3.62, -6.49, 1.83, 18.66], [1.49, 1.59, 4.09, 4.47, 1.53, 24.75], [1.4, 1.63, 4.05, 4.06, 1.5, 31.46], [1.67, 1.68, 4.49, -11.26, 1.88, 52.04], [1.63, 1.58, 4.2, -11.21, 1.98, 58.61], [1.47, 1.29, 2.95, -15.37, 1.87, 59.96]], \"ry\": [-1.58, -0.71, -0.72, -0.7, 1.58, 1.57, -0.7, -0.81, 1.59, 1.6, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 6,
        "data_source": "Mono3DRefer",
        "scene_name": "000044",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.11, 1.79], \"boxes_2d\": [[0.0, 203.44, 365.5, 374.0], [378.01, 183.98, 507.17, 276.44]], \"boxes_3d\": [[1.44, 1.62, 3.67, -3.27, 1.73, 5.22], [1.51, 1.62, 3.68, -3.11, 1.75, 13.93]], \"ry\": [1.58, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 7,
        "data_source": "Mono3DRefer",
        "scene_name": "000063",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -2.55], \"boxes_2d\": [[875.15, 185.26, 975.98, 253.98], [287.03, 172.92, 514.8, 285.76]], \"boxes_3d\": [[1.52, 1.54, 4.5, 8.0, 1.87, 18.74], [1.59, 1.45, 3.15, -3.3, 1.61, 11.32]], \"ry\": [-1.35, -2.83]}\n```"
            }
        ]
    },
    {
        "id": 8,
        "data_source": "Mono3DRefer",
        "scene_name": "000067",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -1.45, -1.13, -0.79, 1.84], \"boxes_2d\": [[671.83, 174.3, 702.61, 195.46], [704.82, 171.69, 744.06, 200.12], [427.15, 179.96, 600.34, 281.01], [76.38, 181.99, 384.72, 306.19], [478.81, 182.19, 515.67, 207.52]], \"boxes_3d\": [[1.32, 1.48, 4.44, 5.12, 1.44, 47.66], [1.42, 1.56, 4.16, 6.09, 1.38, 38.29], [1.45, 1.59, 3.44, -1.52, 1.59, 12.32], [1.51, 1.61, 4.31, -5.57, 1.67, 11.21], [1.44, 1.35, 3.23, -6.77, 2.02, 43.4]], \"ry\": [-1.34, -1.29, -1.26, -1.24, 1.69]}\n```"
            }
        ]
    },
    {
        "id": 9,
        "data_source": "Mono3DRefer",
        "scene_name": "000072",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [2.26, 1.85, -1.57], \"boxes_2d\": [[0.0, 178.54, 117.72, 228.38], [290.87, 187.34, 464.1, 288.52], [590.87, 174.23, 629.98, 213.19]], \"boxes_3d\": [[1.57, 1.2, 5.24, -19.79, 1.78, 25.33], [1.41, 1.69, 4.36, -3.87, 1.69, 12.67], [1.62, 1.63, 4.5, -0.01, 1.71, 32.6]], \"ry\": [1.61, 1.56, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 10,
        "data_source": "Mono3DRefer",
        "scene_name": "000077",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[574.29, 179.23, 616.86, 208.22]], \"boxes_3d\": [[1.5, 1.7, 3.77, -0.77, 1.86, 39.62]], \"ry\": [1.72]}\n```"
            }
        ]
    },
    {
        "id": 11,
        "data_source": "Mono3DRefer",
        "scene_name": "000092",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [1.92, -1.66, -1.54, -1.4, 2.01], \"boxes_2d\": [[420.42, 175.29, 496.16, 228.83], [686.98, 173.04, 733.38, 211.64], [692.44, 163.91, 724.72, 207.04], [654.0, 176.92, 688.53, 201.62], [359.95, 187.35, 456.4, 240.78]], \"boxes_3d\": [[1.93, 1.59, 4.01, -5.86, 2.05, 28.17], [1.58, 1.67, 3.84, 4.32, 1.62, 31.81], [2.05, 1.5, 3.83, 5.0, 1.65, 36.49], [1.54, 1.63, 3.67, 4.03, 1.82, 47.24], [1.56, 1.59, 3.69, -6.52, 2.06, 23.56]], \"ry\": [1.72, -1.52, -1.41, -1.31, 1.74]}\n```"
            }
        ]
    },
    {
        "id": 12,
        "data_source": "Mono3DRefer",
        "scene_name": "000094",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[660.56, 189.93, 747.57, 252.98]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.33, 1.9, 19.16]], \"ry\": [-1.61]}\n```"
            }
        ]
    },
    {
        "id": 13,
        "data_source": "Mono3DRefer",
        "scene_name": "000105",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[531.98, 177.67, 554.49, 195.35]], \"boxes_3d\": [[1.51, 1.81, 4.07, -5.96, 1.96, 64.63]], \"ry\": [1.52]}\n```"
            }
        ]
    },
    {
        "id": 14,
        "data_source": "Mono3DRefer",
        "scene_name": "000120",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [2.04, 2.56, 1.86, 1.76, 1.69, -1.5, -0.26, -1.22, -1.0], \"boxes_2d\": [[57.05, 202.42, 394.68, 374.0], [0.0, 210.49, 119.82, 374.0], [346.63, 185.82, 485.85, 278.21], [455.26, 186.71, 532.19, 243.46], [486.97, 186.14, 549.32, 232.01], [664.25, 178.14, 721.96, 227.83], [785.76, 164.26, 985.11, 229.86], [679.78, 180.23, 745.05, 220.33], [716.11, 175.23, 783.6, 212.42]], \"boxes_3d\": [[1.42, 1.67, 3.8, -3.91, 1.82, 8.06], [1.55, 1.71, 4.5, -4.09, 1.78, 2.42], [1.54, 1.63, 3.59, -3.68, 1.82, 14.17], [1.42, 1.46, 3.63, -3.24, 1.84, 20.44], [1.43, 1.66, 4.19, -3.19, 1.93, 25.45], [1.58, 1.71, 3.75, 2.91, 1.78, 24.95], [1.49, 1.57, 4.26, 6.55, 1.33, 17.6], [1.51, 1.58, 3.31, 4.17, 1.82, 29.24], [1.61, 1.6, 3.11, 6.4, 1.73, 33.03]], \"ry\": [1.6, 1.57, 1.61, 1.61, 1.57, -1.39, 0.09, -1.09, -0.82]}\n```"
            }
        ]
    },
    {
        "id": 15,
        "data_source": "Mono3DRefer",
        "scene_name": "000133",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.24], \"boxes_2d\": [[468.32, 183.17, 535.36, 203.05]], \"boxes_3d\": [[1.36, 1.68, 4.49, -7.78, 2.13, 51.93]], \"ry\": [0.09]}\n```"
            }
        ]
    },
    {
        "id": 16,
        "data_source": "Mono3DRefer",
        "scene_name": "000149",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 1.68, -1.87, -1.78, -1.79, -1.7, -1.61, -1.66, 0.19, 0.37], \"boxes_2d\": [[593.94, 176.33, 617.99, 199.21], [509.06, 180.02, 558.1, 218.52], [745.98, 183.65, 941.59, 315.14], [693.29, 175.68, 817.75, 269.33], [679.66, 173.04, 756.77, 244.46], [653.18, 177.97, 707.11, 219.58], [637.08, 176.4, 666.4, 202.51], [647.16, 176.2, 689.37, 212.64], [391.75, 183.02, 456.09, 206.9], [304.53, 182.89, 377.06, 207.79]], \"boxes_3d\": [[1.54, 1.63, 3.67, -0.31, 1.81, 51.09], [1.45, 1.59, 3.59, -3.07, 1.75, 29.21], [1.48, 1.47, 3.7, 3.0, 1.65, 10.17], [1.64, 1.64, 3.89, 2.76, 1.72, 14.72], [1.69, 1.39, 2.65, 2.69, 1.72, 18.62], [1.5, 1.59, 3.79, 2.64, 1.72, 28.26], [1.49, 1.57, 4.07, 2.45, 1.72, 43.55], [1.57, 1.59, 3.75, 2.61, 1.75, 33.38], [1.52, 1.51, 3.94, -12.41, 2.22, 48.16], [1.58, 1.56, 4.24, -17.92, 2.28, 48.07]], \"ry\": [-1.58, 1.57, -1.59, -1.6, -1.65, -1.61, -1.56, -1.58, -0.06, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 17,
        "data_source": "Mono3DRefer",
        "scene_name": "000158",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"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\": [[1047.18, 177.22, 1179.54, 218.76]], \"boxes_3d\": [[1.62, 1.72, 4.35, 21.09, 1.83, 30.37]], \"ry\": [-2.39]}\n```"
            }
        ]
    },
    {
        "id": 18,
        "data_source": "Mono3DRefer",
        "scene_name": "000164",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -0.59, -1.56], \"boxes_2d\": [[153.97, 167.57, 206.03, 195.3], [10.43, 164.54, 103.22, 201.55], [554.53, 172.2, 616.39, 233.86]], \"boxes_3d\": [[1.7, 1.64, 2.85, -27.38, 1.39, 45.98], [1.72, 1.76, 3.14, -26.97, 1.35, 35.23], [1.62, 1.63, 4.5, -0.75, 1.64, 21.44]], \"ry\": [1.55, -1.24, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 19,
        "data_source": "Mono3DRefer",
        "scene_name": "000169",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\"], \"angle\": [-0.18, -0.17, -1.66, -1.96, 0.89, 0.63, -2.59, -2.68, 0.36, 0.31, 0.34, 0.3, -2.98, 0.16, -1.69], \"boxes_2d\": [[731.11, 171.91, 853.44, 221.79], [684.67, 172.21, 757.34, 204.76], [633.13, 179.03, 659.07, 198.79], [784.78, 177.12, 1124.16, 374.0], [0.0, 193.2, 137.39, 374.0], [0.0, 179.47, 272.67, 340.49], [0.0, 159.41, 290.35, 307.83], [111.86, 185.74, 342.81, 272.27], [247.71, 186.65, 435.61, 257.37], [302.97, 181.41, 468.47, 247.11], [335.68, 179.85, 462.74, 241.6], [338.33, 174.43, 490.76, 230.08], [394.53, 177.75, 500.3, 219.37], [436.13, 170.1, 526.6, 212.16], [677.68, 184.0, 746.78, 238.59]], \"boxes_3d\": [[1.67, 1.6, 3.94, 6.33, 1.67, 25.51], [1.77, 1.69, 3.82, 6.23, 1.76, 40.91], [1.41, 1.56, 4.08, 2.66, 1.89, 54.32], [1.62, 1.48, 3.36, 2.76, 1.68, 6.69], [1.55, 1.7, 4.09, -6.19, 1.74, 5.46], [1.59, 1.63, 3.75, -6.07, 1.69, 8.05], [1.95, 1.67, 3.35, -6.73, 1.79, 10.45], [1.42, 1.55, 3.35, -6.84, 1.68, 13.05], [1.43, 1.49, 3.56, -5.84, 1.76, 15.82], [1.53, 1.6, 3.62, -5.56, 1.77, 18.03], [1.66, 1.57, 3.11, -5.98, 1.88, 20.52], [1.66, 1.71, 4.34, -6.15, 1.74, 22.84], [1.51, 1.66, 3.73, -6.22, 1.72, 27.74], [2.08, 1.8, 4.37, -6.63, 1.97, 37.37], [1.38, 1.49, 3.38, 2.77, 1.71, 20.39]], \"ry\": [0.06, -0.02, -1.61, -1.59, 0.07, -0.0, 3.14, 3.12, 0.01, 0.02, 0.06, 0.04, 3.09, -0.02, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 20,
        "data_source": "Mono3DRefer",
        "scene_name": "000171",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, 1.87, -1.56, 2.14], \"boxes_2d\": [[0.0, 209.02, 132.78, 259.95], [307.61, 195.31, 361.42, 227.03], [570.81, 182.88, 644.9, 253.6], [58.49, 205.4, 232.86, 270.3]], \"boxes_3d\": [[1.46, 1.81, 4.16, -19.04, 2.82, 25.29], [1.62, 1.85, 3.57, -15.51, 2.93, 40.72], [1.55, 1.63, 3.32, -0.09, 1.81, 17.72], [1.4, 1.75, 4.75, -12.63, 2.4, 19.99]], \"ry\": [1.56, 1.51, -1.57, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 21,
        "data_source": "Mono3DRefer",
        "scene_name": "000182",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.68], \"boxes_2d\": [[78.0, 202.9, 387.08, 374.0], [502.86, 181.97, 555.39, 219.47]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.72, 1.78, 7.78], [1.46, 1.75, 4.23, -3.41, 1.86, 30.77]], \"ry\": [1.53, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 22,
        "data_source": "Mono3DRefer",
        "scene_name": "000194",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.64], \"boxes_2d\": [[493.46, 180.94, 572.04, 236.25], [583.58, 175.32, 620.71, 204.77]], \"boxes_3d\": [[1.45, 1.62, 3.83, -2.2, 1.7, 21.07], [1.43, 1.66, 3.67, -0.39, 1.58, 37.37]], \"ry\": [1.64, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 23,
        "data_source": "Mono3DRefer",
        "scene_name": "000197",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [2.0, -1.75, 1.9, 1.79, 1.77], \"boxes_2d\": [[164.61, 198.39, 347.27, 297.74], [693.31, 175.02, 802.96, 251.28], [314.77, 192.7, 428.07, 256.06], [412.85, 178.76, 482.89, 230.16], [450.43, 181.8, 503.32, 219.39]], \"boxes_3d\": [[1.42, 1.54, 3.5, -6.11, 1.92, 12.8], [1.51, 1.75, 3.78, 2.95, 1.59, 16.37], [1.36, 1.51, 4.02, -5.99, 1.91, 18.45], [1.74, 1.65, 4.11, -5.93, 1.97, 26.68], [1.61, 1.64, 4.0, -6.12, 2.04, 33.36]], \"ry\": [1.56, -1.57, 1.58, 1.57, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 24,
        "data_source": "Mono3DRefer",
        "scene_name": "000198",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.88], \"boxes_2d\": [[335.12, 175.34, 437.06, 241.01], [144.26, 188.28, 363.98, 306.89]], \"boxes_3d\": [[1.62, 1.75, 4.3, -6.15, 1.71, 20.17], [1.41, 1.72, 4.41, -5.26, 1.69, 11.28]], \"ry\": [1.51, 1.45]}\n```"
            }
        ]
    },
    {
        "id": 25,
        "data_source": "Mono3DRefer",
        "scene_name": "000204",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 2.05], \"boxes_2d\": [[599.29, 178.09, 628.15, 205.88], [192.2, 192.26, 290.92, 239.24]], \"boxes_3d\": [[1.66, 1.73, 3.05, 0.2, 2.0, 45.16], [1.44, 1.63, 3.43, -12.69, 2.15, 25.0]], \"ry\": [-1.57, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 26,
        "data_source": "Mono3DRefer",
        "scene_name": "000216",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 2.08, 1.9, 1.78, 1.77], \"boxes_2d\": [[568.38, 180.78, 610.26, 222.22], [81.08, 190.87, 276.31, 279.87], [297.52, 188.99, 388.66, 243.05], [395.02, 184.59, 444.87, 221.02], [441.49, 187.53, 481.32, 211.29]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.91, 2.0, 30.88], [1.45, 1.62, 3.77, -8.31, 1.85, 14.25], [1.53, 1.46, 4.18, -8.57, 2.09, 23.4], [1.59, 1.57, 3.39, -8.89, 2.15, 33.83], [1.35, 1.63, 4.1, -9.18, 2.29, 44.72]], \"ry\": [-1.6, 1.56, 1.55, 1.53, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 27,
        "data_source": "Mono3DRefer",
        "scene_name": "000220",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.86], \"boxes_2d\": [[716.97, 175.86, 739.16, 195.51], [528.64, 177.83, 563.79, 197.25]], \"boxes_3d\": [[1.43, 1.59, 4.21, 9.03, 1.68, 55.2], [1.45, 1.59, 4.28, -4.96, 1.85, 56.46]], \"ry\": [-1.4, 1.77]}\n```"
            }
        ]
    },
    {
        "id": 28,
        "data_source": "Mono3DRefer",
        "scene_name": "000231",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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\": [-1.57, -1.46, 1.99, 1.84], \"boxes_2d\": [[559.84, 184.78, 612.94, 227.58], [503.61, 181.84, 547.52, 213.63], [133.17, 182.4, 244.32, 236.25], [311.16, 184.18, 355.65, 210.61]], \"boxes_3d\": [[1.26, 1.6, 3.56, -0.82, 1.67, 23.63], [1.37, 1.63, 3.57, -3.9, 1.8, 33.52], [1.64, 1.93, 3.52, -14.0, 1.97, 24.16], [1.42, 1.58, 3.11, -15.8, 2.08, 41.26]], \"ry\": [-1.61, -1.58, 1.47, 1.48]}\n```"
            }
        ]
    },
    {
        "id": 29,
        "data_source": "Mono3DRefer",
        "scene_name": "000232",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"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\": [[207.17, 187.48, 340.16, 252.73]], \"boxes_3d\": [[1.61, 1.67, 4.56, -9.51, 2.06, 20.76]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 30,
        "data_source": "Mono3DRefer",
        "scene_name": "000233",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.67], \"boxes_2d\": [[527.44, 176.92, 574.06, 214.95], [432.49, 173.01, 465.3, 200.99]], \"boxes_3d\": [[1.53, 1.59, 3.64, -2.66, 1.73, 31.29], [1.63, 1.6, 3.73, -9.87, 1.67, 44.3]], \"ry\": [-1.77, 1.45]}\n```"
            }
        ]
    },
    {
        "id": 31,
        "data_source": "Mono3DRefer",
        "scene_name": "000235",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, 2.07, 1.75, -1.53], \"boxes_2d\": [[589.53, 175.63, 616.49, 202.28], [60.87, 197.71, 258.76, 287.11], [405.31, 181.1, 450.57, 214.56], [552.27, 177.86, 572.91, 198.02]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.5, 1.85, 46.96], [1.44, 1.62, 4.02, -8.89, 2.0, 14.61], [1.68, 1.67, 3.87, -9.7, 2.13, 38.59], [1.61, 1.51, 4.5, -3.96, 2.05, 60.59]], \"ry\": [-1.59, 1.53, 1.5, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 32,
        "data_source": "Mono3DRefer",
        "scene_name": "000246",
        "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\": [-1.59, -0.93, -0.91, -1.27], \"boxes_2d\": [[571.3, 177.37, 609.7, 212.39], [0.0, 208.25, 277.23, 375.0], [0.0, 187.92, 121.03, 266.41], [323.63, 182.96, 407.85, 230.63]], \"boxes_3d\": [[1.6, 1.76, 3.84, -0.9, 1.23, 35.13], [1.39, 1.5, 3.4, -3.78, 1.62, 4.78], [1.45, 1.8, 3.73, -12.49, 1.54, 15.21], [1.48, 1.64, 3.82, -8.24, 1.42, 24.71]], \"ry\": [-1.61, -1.58, -1.59, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 33,
        "data_source": "Mono3DRefer",
        "scene_name": "000255",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.65], \"boxes_2d\": [[190.07, 192.94, 450.91, 346.85], [535.35, 181.92, 572.86, 208.46]], \"boxes_3d\": [[1.5, 1.7, 4.21, -3.5, 1.81, 9.53], [1.48, 1.87, 4.42, -3.32, 2.04, 43.19]], \"ry\": [1.59, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 34,
        "data_source": "Mono3DRefer",
        "scene_name": "000260",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -1.58], \"boxes_2d\": [[554.66, 172.93, 574.71, 189.14], [581.38, 173.49, 604.08, 191.47]], \"boxes_3d\": [[1.37, 1.63, 3.57, -3.99, 1.41, 63.68], [1.26, 1.6, 3.56, -1.3, 1.33, 52.89]], \"ry\": [-1.6, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 35,
        "data_source": "Mono3DRefer",
        "scene_name": "000261",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [2.02, 1.97, 1.95], \"boxes_2d\": [[278.03, 179.51, 334.17, 206.65], [315.16, 180.02, 366.01, 201.87], [360.9, 177.24, 402.39, 196.61]], \"boxes_3d\": [[1.58, 1.64, 3.88, -18.63, 2.0, 44.35], [1.43, 1.81, 4.16, -18.58, 1.93, 49.88], [1.47, 1.67, 4.31, -18.15, 1.83, 57.47]], \"ry\": [1.62, 1.61, 1.64]}\n```"
            }
        ]
    },
    {
        "id": 36,
        "data_source": "Mono3DRefer",
        "scene_name": "000269",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [1.65, -1.54, -1.76, -1.74, -1.59, -1.81], \"boxes_2d\": [[0.0, 152.03, 86.39, 351.21], [53.86, 191.17, 118.05, 244.56], [272.75, 187.98, 337.13, 235.6], [243.61, 188.82, 302.61, 230.57], [223.23, 188.71, 257.16, 217.14], [300.41, 186.75, 397.0, 250.73]], \"boxes_3d\": [[2.01, 1.89, 4.91, -7.87, 1.83, 9.1], [1.65, 1.67, 3.81, -18.11, 2.31, 25.0], [1.52, 1.51, 3.1, -10.76, 2.07, 25.26], [1.53, 1.58, 3.53, -13.58, 2.19, 28.92], [1.46, 1.6, 3.71, -20.62, 2.36, 40.13], [1.57, 1.72, 3.52, -7.33, 1.96, 19.93]], \"ry\": [0.96, -2.16, -2.16, -2.17, -2.06, -2.15]}\n```"
            }
        ]
    },
    {
        "id": 37,
        "data_source": "Mono3DRefer",
        "scene_name": "000282",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.91], \"boxes_2d\": [[595.17, 178.83, 624.37, 202.42], [36.6, 200.84, 405.7, 374.0]], \"boxes_3d\": [[1.64, 1.69, 3.3, -0.07, 2.09, 52.46], [1.41, 1.59, 4.47, -3.36, 1.77, 7.22]], \"ry\": [-1.7, 1.49]}\n```"
            }
        ]
    },
    {
        "id": 38,
        "data_source": "Mono3DRefer",
        "scene_name": "000299",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[593.72, 187.39, 613.12, 205.23]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.59, 2.69, 61.86]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 39,
        "data_source": "Mono3DRefer",
        "scene_name": "000318",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 1.77, 1.84, 1.86, 1.86], \"boxes_2d\": [[18.98, 155.74, 415.63, 374.0], [361.46, 177.53, 511.19, 302.13], [532.52, 189.9, 599.93, 233.02], [579.61, 188.68, 630.28, 224.46], [626.67, 189.43, 671.36, 218.24]], \"boxes_3d\": [[1.91, 1.66, 4.22, -3.16, 1.82, 6.79], [1.83, 1.69, 4.28, -2.91, 1.93, 12.82], [1.51, 1.63, 4.03, -1.68, 2.22, 28.45], [1.57, 1.44, 3.6, -0.22, 2.36, 34.66], [1.47, 1.51, 3.5, 2.18, 2.42, 39.96]], \"ry\": [1.51, 1.55, 1.78, 1.86, 1.92]}\n```"
            }
        ]
    },
    {
        "id": 40,
        "data_source": "Mono3DRefer",
        "scene_name": "000325",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [1.86, 2.25, 2.13, 2.06, 1.69, -1.56], \"boxes_2d\": [[316.71, 185.26, 449.47, 279.21], [0.0, 179.14, 108.62, 229.8], [108.58, 182.33, 198.02, 218.18], [196.6, 183.28, 264.35, 214.18], [508.42, 181.34, 550.52, 212.26], [581.06, 177.42, 629.34, 225.53]], \"boxes_3d\": [[1.47, 1.43, 3.11, -4.03, 1.71, 13.11], [1.71, 1.44, 4.06, -20.67, 1.96, 26.56], [1.53, 1.67, 3.88, -20.99, 1.98, 33.3], [1.53, 1.47, 4.05, -20.21, 2.11, 38.53], [1.41, 1.48, 4.93, -3.95, 1.84, 35.77], [1.62, 1.63, 4.5, -0.19, 1.81, 26.83]], \"ry\": [1.57, 1.59, 1.57, 1.58, 1.58, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 41,
        "data_source": "Mono3DRefer",
        "scene_name": "000331",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-2.63, -2.88], \"boxes_2d\": [[0.0, 204.58, 277.77, 318.09], [315.63, 189.85, 446.85, 238.82]], \"boxes_3d\": [[1.42, 1.62, 3.5, -7.02, 1.94, 10.53], [1.41, 1.54, 3.6, -7.08, 1.97, 22.43]], \"ry\": [3.07, 3.1]}\n```"
            }
        ]
    },
    {
        "id": 42,
        "data_source": "Mono3DRefer",
        "scene_name": "000333",
        "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\": [-0.86, 0.87, 2.15], \"boxes_2d\": [[0.0, 201.57, 304.1, 369.0], [503.21, 169.49, 592.05, 206.89], [0.0, 184.62, 123.26, 272.67]], \"boxes_3d\": [[1.5, 1.78, 3.69, -3.16, 1.68, 3.36], [1.44, 1.64, 3.68, -2.42, 1.02, 29.12], [1.63, 1.78, 4.54, -12.57, 1.75, 15.09]], \"ry\": [-1.56, 0.79, 1.47]}\n```"
            }
        ]
    },
    {
        "id": 43,
        "data_source": "Mono3DRefer",
        "scene_name": "000338",
        "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\": [-2.06, 2.23, 1.9, -1.62, -1.7, -1.63, -1.63, -1.61], \"boxes_2d\": [[822.39, 177.95, 1223.0, 369.0], [46.17, 169.53, 222.76, 248.41], [453.92, 175.82, 494.0, 198.36], [700.62, 173.49, 768.4, 237.23], [684.23, 175.83, 747.85, 224.45], [670.01, 176.47, 714.05, 214.03], [662.81, 175.73, 703.62, 208.13], [651.86, 175.27, 678.37, 198.37]], \"boxes_3d\": [[1.52, 1.64, 4.41, 3.65, 1.51, 6.97], [1.85, 1.68, 4.11, -12.27, 1.59, 18.77], [1.49, 1.58, 3.84, -9.08, 1.18, 49.33], [1.54, 1.57, 3.52, 3.36, 1.37, 18.95], [1.5, 1.63, 3.57, 3.65, 1.36, 23.88], [1.47, 1.59, 3.64, 3.61, 1.31, 29.9], [1.49, 1.74, 4.09, 3.81, 1.27, 35.05], [1.44, 1.58, 3.28, 3.93, 1.11, 46.43]], \"ry\": [-1.59, 1.66, 1.72, -1.44, -1.55, -1.51, -1.52, -1.53]}\n```"
            }
        ]
    },
    {
        "id": 44,
        "data_source": "Mono3DRefer",
        "scene_name": "000340",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.75, 1.63], \"boxes_2d\": [[163.47, 201.04, 266.81, 277.26], [0.0, 201.28, 193.53, 336.11], [263.56, 202.7, 302.97, 235.62]], \"boxes_3d\": [[1.46, 1.59, 3.35, -9.06, 2.17, 16.71], [1.44, 1.58, 3.72, -7.15, 1.91, 10.33], [1.39, 1.52, 3.56, -15.88, 2.91, 35.12]], \"ry\": [1.23, 1.15, 1.21]}\n```"
            }
        ]
    },
    {
        "id": 45,
        "data_source": "Mono3DRefer",
        "scene_name": "000347",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[260.83, 191.13, 340.36, 232.37]], \"boxes_3d\": [[1.63, 1.78, 4.13, -13.65, 2.48, 32.02]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 46,
        "data_source": "Mono3DRefer",
        "scene_name": "000351",
        "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\"], \"angle\": [-1.57, -1.06, -1.29, -1.28, -1.4, -1.49, -1.16], \"boxes_2d\": [[572.57, 174.58, 622.77, 220.34], [100.05, 188.89, 276.08, 273.57], [315.05, 170.86, 457.84, 265.27], [337.86, 181.63, 416.87, 224.41], [449.36, 181.41, 508.49, 221.08], [526.46, 176.89, 554.38, 200.81], [242.95, 181.37, 326.77, 223.59]], \"boxes_3d\": [[1.6, 1.76, 3.84, -0.41, 1.22, 27.32], [1.47, 1.54, 3.51, -8.43, 1.58, 14.73], [1.78, 1.81, 4.32, -4.7, 1.5, 15.82], [1.45, 1.61, 4.3, -8.56, 1.33, 26.97], [1.45, 1.67, 3.88, -5.07, 1.31, 28.56], [1.63, 1.67, 3.92, -4.78, 1.05, 51.35], [1.58, 1.64, 3.96, -13.05, 1.44, 29.24]], \"ry\": [-1.58, -1.57, -1.57, -1.58, -1.58, -1.59, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 47,
        "data_source": "Mono3DRefer",
        "scene_name": "000358",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 2.02, 1.96], \"boxes_2d\": [[367.26, 177.32, 407.49, 196.25], [288.87, 179.61, 342.91, 205.91], [323.85, 180.04, 372.82, 201.28]], \"boxes_3d\": [[1.47, 1.67, 4.31, -18.09, 1.85, 58.77], [1.58, 1.64, 3.88, -18.58, 2.02, 45.69], [1.43, 1.81, 4.16, -18.53, 1.95, 51.22]], \"ry\": [1.64, 1.63, 1.61]}\n```"
            }
        ]
    },
    {
        "id": 48,
        "data_source": "Mono3DRefer",
        "scene_name": "000359",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[595.67, 174.11, 623.22, 200.64]], \"boxes_3d\": [[1.66, 1.73, 3.05, -0.06, 1.77, 47.24]], \"ry\": [-1.57]}\n```"
            }
        ]
    },
    {
        "id": 49,
        "data_source": "Mono3DRefer",
        "scene_name": "000402",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.82], \"boxes_2d\": [[527.13, 173.92, 557.45, 198.9], [383.59, 188.9, 506.24, 261.26]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.97, 1.48, 42.43], [1.43, 1.75, 4.47, -3.79, 1.85, 17.17]], \"ry\": [1.55, 1.61]}\n```"
            }
        ]
    },
    {
        "id": 50,
        "data_source": "Mono3DRefer",
        "scene_name": "000411",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -2.22], \"boxes_2d\": [[669.26, 173.4, 701.63, 193.38], [958.05, 197.21, 1241.0, 374.0]], \"boxes_3d\": [[1.62, 1.72, 4.35, 6.36, 1.7, 61.37], [1.42, 1.45, 3.2, 3.87, 1.63, 4.94]], \"ry\": [-1.71, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 51,
        "data_source": "Mono3DRefer",
        "scene_name": "000412",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [2.05, -1.96, 1.7], \"boxes_2d\": [[95.88, 192.42, 352.42, 334.28], [830.16, 156.08, 1241.0, 374.0], [490.66, 167.2, 536.97, 211.61]], \"boxes_3d\": [[1.5, 1.46, 3.7, -4.99, 1.8, 9.84], [1.61, 1.62, 3.78, 3.01, 1.55, 5.82], [1.86, 1.57, 3.83, -4.29, 1.65, 32.4]], \"ry\": [1.59, -1.5, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 52,
        "data_source": "Mono3DRefer",
        "scene_name": "000416",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[642.28, 179.07, 665.91, 196.85]], \"boxes_3d\": [[1.48, 1.36, 3.51, 3.77, 2.03, 62.43]], \"ry\": [-1.71]}\n```"
            }
        ]
    },
    {
        "id": 53,
        "data_source": "Mono3DRefer",
        "scene_name": "000420",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -1.38, -1.52, 1.84, -1.08], \"boxes_2d\": [[0.0, 189.0, 351.2, 374.0], [479.52, 164.58, 599.67, 250.22], [804.28, 168.64, 915.34, 270.42], [344.73, 180.38, 464.68, 251.8], [844.29, 160.91, 996.56, 233.02]], \"boxes_3d\": [[1.55, 1.64, 3.7, -3.48, 1.7, 5.34], [1.63, 1.81, 4.54, -1.43, 1.51, 16.11], [1.47, 1.54, 3.02, 4.19, 1.43, 12.08], [1.42, 1.58, 4.08, -4.58, 1.6, 16.53], [1.5, 1.52, 4.12, 7.31, 1.26, 16.89]], \"ry\": [1.59, -1.47, -1.19, 1.57, -0.68]}\n```"
            }
        ]
    },
    {
        "id": 54,
        "data_source": "Mono3DRefer",
        "scene_name": "000422",
        "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\": [1.88], \"boxes_2d\": [[133.34, 182.71, 364.05, 323.19]], \"boxes_3d\": [[1.57, 1.67, 4.14, -4.77, 1.6, 10.34]], \"ry\": [1.45]}\n```"
            }
        ]
    },
    {
        "id": 55,
        "data_source": "Mono3DRefer",
        "scene_name": "000454",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -3.03], \"boxes_2d\": [[247.42, 188.77, 311.48, 213.58], [872.5, 178.55, 960.25, 211.59]], \"boxes_3d\": [[1.41, 1.85, 4.7, -20.83, 2.46, 45.63], [1.42, 1.58, 3.48, 13.81, 1.7, 32.6]], \"ry\": [1.58, -2.63]}\n```"
            }
        ]
    },
    {
        "id": 56,
        "data_source": "Mono3DRefer",
        "scene_name": "000464",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 2.25], \"boxes_2d\": [[224.63, 200.82, 449.61, 310.19], [1140.51, 175.47, 1241.0, 222.49]], \"boxes_3d\": [[1.37, 1.78, 4.65, -4.36, 1.93, 12.34], [1.48, 1.51, 4.35, 20.3, 1.58, 24.22]], \"ry\": [1.65, 2.94]}\n```"
            }
        ]
    },
    {
        "id": 57,
        "data_source": "Mono3DRefer",
        "scene_name": "000540",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.57, -2.17, -2.19, 1.02, -1.46, -1.72, -1.68, -1.7, -1.65, 2.12, -1.57, 2.13], \"boxes_2d\": [[581.73, 179.51, 640.18, 227.03], [240.12, 184.86, 424.16, 265.28], [319.41, 187.06, 464.24, 248.9], [390.98, 179.39, 482.72, 224.32], [499.0, 185.74, 565.16, 228.86], [675.95, 180.05, 765.47, 242.02], [663.14, 183.28, 728.68, 227.67], [657.71, 173.92, 704.53, 214.14], [632.59, 177.89, 660.58, 199.66], [48.1, 193.81, 234.47, 273.51], [590.29, 176.78, 629.25, 212.34], [46.51, 185.37, 168.1, 235.1]], \"boxes_3d\": [[1.36, 1.69, 3.38, -0.02, 1.59, 22.68], [1.45, 1.61, 3.96, -5.87, 1.72, 14.96], [1.36, 1.57, 3.73, -5.52, 1.73, 17.92], [1.48, 1.57, 3.48, -6.25, 1.73, 25.72], [1.25, 1.74, 3.66, -2.49, 1.69, 23.49], [1.46, 1.72, 3.95, 2.78, 1.66, 19.2], [1.32, 1.7, 4.04, 2.73, 1.69, 24.05], [1.56, 1.48, 3.36, 2.86, 1.63, 29.93], [1.38, 1.55, 3.6, 2.38, 1.73, 48.07], [1.35, 1.59, 3.41, -9.33, 1.81, 14.63], [1.52, 1.67, 3.61, -0.05, 1.71, 32.93], [1.32, 1.43, 3.25, -14.81, 1.71, 21.38]], \"ry\": [-1.58, -2.53, -2.48, 0.78, -1.57, -1.58, -1.57, -1.61, -1.6, 1.56, -1.58, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 58,
        "data_source": "Mono3DRefer",
        "scene_name": "000577",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, 1.72, 1.71, 1.8], \"boxes_2d\": [[354.82, 186.07, 523.76, 310.21], [472.84, 168.44, 574.13, 264.05], [538.72, 174.9, 611.53, 239.72], [619.97, 184.4, 668.18, 215.5]], \"boxes_3d\": [[1.56, 1.55, 3.64, -2.46, 1.78, 11.09], [1.91, 1.66, 4.22, -1.89, 1.85, 16.59], [1.83, 1.69, 4.28, -1.03, 1.91, 22.58], [1.51, 1.63, 4.03, 1.82, 2.14, 37.99]], \"ry\": [1.63, 1.61, 1.66, 1.85]}\n```"
            }
        ]
    },
    {
        "id": 59,
        "data_source": "Mono3DRefer",
        "scene_name": "000619",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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\": [3.1, 2.91, 1.71, 1.98], \"boxes_2d\": [[184.71, 169.18, 362.24, 228.99], [462.11, 165.53, 526.95, 188.3], [486.63, 171.24, 540.81, 211.21], [90.61, 189.93, 399.51, 374.0]], \"boxes_3d\": [[1.53, 1.54, 4.35, -9.37, 1.44, 20.19], [1.52, 1.41, 4.22, -8.02, 1.04, 50.04], [1.39, 1.52, 3.56, -3.6, 1.36, 27.2], [1.46, 1.59, 3.35, -3.53, 1.67, 7.58]], \"ry\": [2.67, 2.75, 1.58, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 60,
        "data_source": "Mono3DRefer",
        "scene_name": "000641",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -2.08, -1.97, -0.51, -0.36, 1.69], \"boxes_2d\": [[569.09, 168.49, 635.71, 218.07], [190.06, 211.67, 286.3, 273.1], [38.07, 214.96, 176.69, 294.98], [982.73, 153.48, 1241.0, 241.17], [859.2, 158.51, 1089.82, 227.7], [620.64, 160.72, 660.31, 192.23]], \"boxes_3d\": [[1.77, 1.75, 4.67, -0.23, 1.64, 28.21], [1.72, 1.39, 3.07, -11.87, 3.01, 22.91], [1.46, 1.52, 2.75, -10.91, 2.42, 15.57], [1.48, 1.63, 3.98, 9.22, 1.18, 13.22], [1.47, 1.52, 4.43, 8.12, 1.19, 16.45], [1.6, 1.68, 3.94, 1.67, 1.0, 38.9]], \"ry\": [-1.39, -2.55, -2.57, 0.09, 0.09, 1.73]}\n```"
            }
        ]
    },
    {
        "id": 61,
        "data_source": "Mono3DRefer",
        "scene_name": "000666",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-2.71, -2.8, -1.85, -1.94, -2.88, -2.92, -2.91], \"boxes_2d\": [[173.78, 167.18, 400.59, 270.05], [269.86, 172.9, 449.21, 242.06], [821.06, 150.49, 899.04, 199.95], [878.52, 160.37, 947.02, 195.14], [343.4, 177.76, 481.47, 225.44], [372.01, 176.32, 478.23, 219.9], [382.36, 169.07, 506.8, 215.16]], \"boxes_3d\": [[1.86, 1.69, 3.69, -6.25, 1.79, 14.15], [1.68, 1.69, 4.07, -6.46, 1.71, 18.79], [2.04, 1.99, 4.82, 11.08, 1.14, 32.42], [1.49, 1.56, 3.88, 13.8, 0.98, 33.18], [1.48, 1.56, 4.12, -6.48, 1.66, 23.8], [1.51, 1.59, 3.5, -6.75, 1.66, 26.44], [1.74, 1.75, 4.57, -6.59, 1.63, 28.89]], \"ry\": [-3.12, -3.13, -1.53, -1.55, 3.14, 3.11, -3.14]}\n```"
            }
        ]
    },
    {
        "id": 62,
        "data_source": "Mono3DRefer",
        "scene_name": "000676",
        "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\": [-1.44, -1.49, -1.55, -1.5], \"boxes_2d\": [[507.41, 173.44, 566.33, 218.27], [544.06, 172.23, 579.87, 201.6], [606.23, 169.19, 639.9, 199.8], [575.0, 168.3, 602.37, 192.51]], \"boxes_3d\": [[1.47, 1.59, 4.03, -2.25, 1.2, 25.79], [1.41, 1.54, 3.36, -1.96, 0.96, 36.46], [1.52, 1.67, 4.38, 1.21, 0.91, 38.35], [1.56, 1.59, 3.65, -0.81, 0.7, 48.67]], \"ry\": [-1.54, -1.55, -1.52, -1.52]}\n```"
            }
        ]
    },
    {
        "id": 63,
        "data_source": "Mono3DRefer",
        "scene_name": "000685",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.61, -1.93, 1.94, -1.78, -1.77, 1.69, 1.69, -1.71], \"boxes_2d\": [[904.51, 172.8, 1241.0, 374.0], [645.61, 179.48, 866.65, 314.27], [62.36, 196.22, 282.69, 314.79], [576.83, 171.33, 681.87, 249.04], [542.59, 175.03, 625.23, 231.38], [280.34, 191.81, 352.98, 246.44], [311.61, 186.46, 366.3, 227.54], [527.21, 177.53, 581.5, 217.35]], \"boxes_3d\": [[1.51, 1.69, 4.04, 3.45, 1.53, 5.88], [1.46, 1.58, 3.93, 1.71, 1.57, 9.99], [1.5, 1.68, 4.03, -6.93, 1.94, 11.88], [1.6, 1.7, 3.56, 0.3, 1.59, 16.85], [1.52, 1.73, 3.89, -0.92, 1.62, 21.8], [1.44, 1.6, 3.79, -8.9, 2.06, 22.04], [1.42, 1.51, 3.71, -10.36, 1.96, 27.66], [1.37, 1.51, 3.49, -2.17, 1.56, 26.87]], \"ry\": [-1.1, -1.77, 1.42, -1.76, -1.81, 1.31, 1.33, -1.79]}\n```"
            }
        ]
    },
    {
        "id": 64,
        "data_source": "Mono3DRefer",
        "scene_name": "000690",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 2.42], \"boxes_2d\": [[480.17, 186.33, 545.85, 232.53], [0.0, 221.34, 256.06, 374.0]], \"boxes_3d\": [[1.44, 1.7, 3.65, -3.33, 1.94, 25.1], [1.52, 1.73, 4.28, -3.39, 1.84, 2.84]], \"ry\": [1.6, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 65,
        "data_source": "Mono3DRefer",
        "scene_name": "000694",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [2.09, -1.93, 1.69, 1.85, -1.83, -1.78, -1.71, -1.68], \"boxes_2d\": [[0.0, 77.93, 357.76, 374.0], [771.65, 190.59, 1079.84, 360.67], [468.61, 168.99, 526.47, 215.75], [233.61, 172.09, 444.72, 316.21], [720.78, 181.29, 854.87, 275.26], [678.58, 174.86, 759.86, 233.2], [651.85, 172.28, 713.66, 219.73], [638.41, 173.59, 686.63, 209.12]], \"boxes_3d\": [[1.86, 1.63, 4.2, -2.91, 1.59, 4.09], [1.37, 1.61, 4.26, 3.12, 1.61, 8.27], [1.51, 1.55, 3.92, -3.94, 1.42, 25.56], [1.51, 1.55, 3.71, -3.35, 1.53, 9.52], [1.5, 1.53, 3.37, 3.1, 1.67, 13.39], [1.47, 1.56, 3.16, 2.91, 1.55, 20.05], [1.48, 1.56, 3.62, 2.36, 1.49, 24.51], [1.39, 1.54, 4.6, 2.13, 1.45, 30.81]], \"ry\": [1.5, -1.58, 1.54, 1.52, -1.61, -1.64, -1.62, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 66,
        "data_source": "Mono3DRefer",
        "scene_name": "000748",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 2.06, 1.9], \"boxes_2d\": [[572.36, 180.57, 612.06, 218.83], [123.85, 195.95, 258.43, 252.79], [339.07, 187.41, 395.64, 218.12]], \"boxes_3d\": [[1.66, 1.73, 3.05, -0.82, 2.03, 33.24], [1.47, 1.71, 4.36, -12.75, 2.24, 22.24], [1.52, 1.71, 3.89, -13.04, 2.33, 38.9]], \"ry\": [-1.57, 1.54, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 67,
        "data_source": "Mono3DRefer",
        "scene_name": "000767",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[299.74, 185.98, 357.96, 211.54]], \"boxes_3d\": [[1.39, 1.82, 4.11, -16.58, 2.19, 42.69]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 68,
        "data_source": "Mono3DRefer",
        "scene_name": "000774",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[633.13, 148.32, 661.2, 174.94]], \"boxes_3d\": [[1.5, 1.62, 4.19, 2.24, 0.1, 44.11]], \"ry\": [1.62]}\n```"
            }
        ]
    },
    {
        "id": 69,
        "data_source": "Mono3DRefer",
        "scene_name": "000777",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.97, -1.55], \"boxes_2d\": [[648.3, 173.95, 728.05, 202.25], [576.83, 176.73, 605.63, 203.16]], \"boxes_3d\": [[1.51, 1.65, 4.21, 4.32, 1.6, 40.5], [1.43, 1.55, 3.91, -1.06, 1.67, 41.39]], \"ry\": [3.07, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 70,
        "data_source": "Mono3DRefer",
        "scene_name": "000864",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 2.71, -0.28, -0.1, 2.89], \"boxes_2d\": [[575.5, 187.27, 607.31, 217.05], [773.3, 180.08, 1052.03, 275.37], [756.01, 181.73, 978.59, 257.21], [710.58, 182.05, 860.14, 232.53], [744.87, 179.44, 920.32, 247.77]], \"boxes_3d\": [[1.43, 1.55, 3.91, -1.05, 2.21, 37.86], [1.51, 1.65, 4.21, 5.15, 1.66, 12.69], [1.48, 1.49, 4.16, 5.27, 1.69, 15.25], [1.51, 1.69, 4.42, 5.4, 1.82, 22.83], [1.56, 1.5, 3.8, 5.28, 1.74, 17.55]], \"ry\": [-1.62, 3.09, 0.05, 0.12, -3.1]}\n```"
            }
        ]
    },
    {
        "id": 71,
        "data_source": "Mono3DRefer",
        "scene_name": "000889",
        "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\": [-1.63], \"boxes_2d\": [[581.94, 155.52, 635.25, 212.46]], \"boxes_3d\": [[1.91, 1.65, 4.4, 0.04, 1.06, 26.14]], \"ry\": [-1.63]}\n```"
            }
        ]
    },
    {
        "id": 72,
        "data_source": "Mono3DRefer",
        "scene_name": "000914",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 2.11, -0.48], \"boxes_2d\": [[757.39, 165.28, 832.71, 230.8], [369.3, 181.3, 510.84, 240.84], [979.45, 157.16, 1076.51, 190.33]], \"boxes_3d\": [[1.56, 1.65, 3.69, 4.76, 1.4, 19.12], [1.42, 1.67, 4.53, -4.54, 1.67, 19.88], [1.54, 1.63, 3.74, 20.29, 0.82, 35.17]], \"ry\": [-1.39, 1.89, 0.04]}\n```"
            }
        ]
    },
    {
        "id": 73,
        "data_source": "Mono3DRefer",
        "scene_name": "000917",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [2.92, -1.1, 2.29], \"boxes_2d\": [[278.11, 167.1, 465.46, 228.82], [909.2, 155.06, 1093.76, 252.73], [1203.77, 149.81, 1241.0, 196.35]], \"boxes_3d\": [[1.49, 1.67, 4.5, -6.36, 1.36, 19.3], [1.65, 1.67, 3.64, 7.56, 1.36, 13.91], [1.59, 1.55, 3.93, 23.46, 0.79, 25.49]], \"ry\": [2.61, -0.62, 3.03]}\n```"
            }
        ]
    },
    {
        "id": 74,
        "data_source": "Mono3DRefer",
        "scene_name": "000929",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.75, 1.86], \"boxes_2d\": [[611.39, 174.25, 665.48, 226.45], [496.2, 179.78, 553.94, 219.1], [448.7, 181.06, 504.38, 214.7]], \"boxes_3d\": [[1.61, 1.66, 3.2, 0.96, 1.68, 24.03], [1.44, 1.61, 3.66, -3.31, 1.72, 28.46], [1.41, 1.53, 3.37, -5.93, 1.78, 32.23]], \"ry\": [-1.5, 1.64, 1.68]}\n```"
            }
        ]
    },
    {
        "id": 75,
        "data_source": "Mono3DRefer",
        "scene_name": "000936",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -1.75, -1.95, -2.15, -2.12, -2.18, -0.65, -1.55, 2.05, 2.04], \"boxes_2d\": [[587.25, 183.18, 641.94, 228.06], [0.0, 188.45, 213.17, 374.0], [128.23, 181.84, 376.54, 325.12], [331.58, 182.93, 487.4, 250.01], [383.08, 180.87, 503.98, 239.54], [431.15, 180.09, 525.14, 220.16], [914.78, 175.76, 1134.12, 258.29], [592.26, 181.15, 626.59, 212.56], [165.82, 173.97, 273.62, 220.95], [255.62, 181.18, 324.02, 211.0]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.1, 1.73, 24.13], [1.46, 1.49, 3.4, -4.81, 1.6, 6.04], [1.43, 1.62, 3.47, -4.63, 1.56, 9.03], [1.37, 1.55, 3.96, -4.78, 1.62, 16.77], [1.44, 1.59, 3.57, -4.66, 1.68, 19.75], [1.4, 1.57, 3.83, -5.08, 1.7, 27.34], [1.7, 1.77, 4.06, 9.27, 1.79, 16.36], [1.52, 1.67, 3.61, -0.03, 1.95, 37.12], [1.58, 1.73, 4.22, -14.33, 1.65, 26.71], [1.26, 1.46, 3.32, -14.41, 1.65, 32.57]], \"ry\": [-1.57, -2.4, -2.41, -2.43, -2.34, -2.37, -0.14, -1.55, 1.56, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 76,
        "data_source": "Mono3DRefer",
        "scene_name": "000940",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.93, 1.87], \"boxes_2d\": [[0.0, 195.3, 85.4, 251.29], [308.74, 184.77, 365.76, 212.68], [380.6, 184.6, 418.22, 203.97]], \"boxes_3d\": [[1.34, 1.65, 4.44, -16.18, 1.98, 18.82], [1.49, 1.76, 4.01, -15.67, 2.2, 41.57], [1.38, 1.8, 3.41, -15.87, 2.28, 54.44]], \"ry\": [1.57, 1.57, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 77,
        "data_source": "Mono3DRefer",
        "scene_name": "000984",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[373.48, 182.4, 419.25, 203.92]], \"boxes_3d\": [[1.49, 1.88, 4.41, -15.75, 2.22, 53.34]], \"ry\": [1.62]}\n```"
            }
        ]
    },
    {
        "id": 78,
        "data_source": "Mono3DRefer",
        "scene_name": "000992",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [1.65, 1.72, 2.01, 1.88, -1.78, -1.7, -1.66], \"boxes_2d\": [[532.27, 169.06, 556.4, 193.64], [471.58, 176.36, 514.64, 209.91], [131.34, 193.24, 373.7, 318.48], [314.39, 184.58, 435.22, 261.54], [694.52, 174.87, 805.75, 261.39], [663.76, 167.23, 742.28, 237.48], [650.71, 165.91, 711.69, 223.14]], \"boxes_3d\": [[1.86, 1.57, 3.83, -5.17, 1.6, 56.98], [1.5, 1.46, 3.7, -5.54, 1.68, 34.36], [1.54, 1.7, 4.32, -5.41, 1.91, 11.54], [1.54, 1.54, 3.72, -5.31, 1.83, 16.62], [1.57, 1.54, 3.22, 2.72, 1.63, 14.84], [1.74, 1.6, 3.86, 2.43, 1.62, 19.93], [1.83, 1.69, 4.44, 2.38, 1.63, 25.46]], \"ry\": [1.56, 1.56, 1.58, 1.58, -1.61, -1.59, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 79,
        "data_source": "Mono3DRefer",
        "scene_name": "000994",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 2.09, 2.03, 1.98, 1.95], \"boxes_2d\": [[107.18, 182.53, 202.23, 222.36], [184.58, 183.63, 266.34, 214.37], [263.65, 181.86, 324.64, 207.6], [310.71, 179.87, 353.94, 202.42], [343.58, 179.95, 382.96, 199.47]], \"boxes_3d\": [[1.58, 1.64, 3.88, -19.51, 2.01, 31.06], [1.43, 1.81, 4.16, -19.37, 1.99, 36.49], [1.47, 1.67, 4.31, -19.23, 2.03, 44.07], [1.48, 1.44, 3.59, -19.06, 1.97, 49.59], [1.42, 1.68, 3.38, -18.74, 1.97, 54.88]], \"ry\": [1.57, 1.6, 1.62, 1.62, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 80,
        "data_source": "Mono3DRefer",
        "scene_name": "000995",
        "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\": [-1.19, -1.53, -1.45, -1.59, 1.79], \"boxes_2d\": [[140.71, 191.0, 426.86, 366.73], [509.13, 171.24, 587.2, 242.43], [502.86, 169.93, 564.05, 220.56], [598.21, 170.06, 635.98, 207.95], [462.18, 174.02, 503.05, 202.49]], \"boxes_3d\": [[1.41, 1.54, 3.36, -3.12, 1.54, 7.71], [1.52, 1.67, 4.38, -1.26, 1.31, 17.76], [1.56, 1.59, 3.65, -2.23, 1.21, 24.21], [1.48, 1.47, 2.23, 0.61, 1.03, 29.4], [1.42, 1.44, 3.19, -6.21, 1.05, 37.82]], \"ry\": [-1.56, -1.61, -1.54, -1.57, 1.63]}\n```"
            }
        ]
    },
    {
        "id": 81,
        "data_source": "Mono3DRefer",
        "scene_name": "001007",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 0.56, -2.73, 0.33, 0.16, -1.67], \"boxes_2d\": [[0.0, 174.69, 166.19, 339.8], [0.0, 169.68, 326.87, 300.25], [86.7, 177.52, 384.07, 274.23], [274.75, 173.98, 464.49, 239.81], [392.93, 175.04, 516.27, 216.83], [656.64, 180.27, 714.11, 222.95]], \"boxes_3d\": [[1.58, 1.54, 3.3, -6.92, 1.62, 7.72], [1.68, 1.71, 4.07, -6.48, 1.67, 10.34], [1.53, 1.7, 4.32, -6.43, 1.63, 12.67], [1.54, 1.78, 4.2, -6.02, 1.6, 18.27], [1.5, 1.66, 4.4, -5.9, 1.61, 27.61], [1.41, 1.62, 4.19, 2.62, 1.69, 26.25]], \"ry\": [-3.12, 0.01, 3.09, 0.01, -0.05, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 82,
        "data_source": "Mono3DRefer",
        "scene_name": "001079",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[641.66, 178.79, 689.8, 216.72]], \"boxes_3d\": [[1.64, 1.69, 3.3, 2.49, 1.93, 33.26]], \"ry\": [-1.65]}\n```"
            }
        ]
    },
    {
        "id": 83,
        "data_source": "Mono3DRefer",
        "scene_name": "001090",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[540.86, 187.59, 572.24, 219.89]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.09, 2.54, 40.81]], \"ry\": [1.46]}\n```"
            }
        ]
    },
    {
        "id": 84,
        "data_source": "Mono3DRefer",
        "scene_name": "001098",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[563.63, 174.29, 618.67, 227.47]], \"boxes_3d\": [[1.6, 1.66, 3.55, -0.71, 1.67, 23.73]], \"ry\": [-1.63]}\n```"
            }
        ]
    },
    {
        "id": 85,
        "data_source": "Mono3DRefer",
        "scene_name": "001117",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, -1.91, -1.85], \"boxes_2d\": [[630.8, 175.46, 653.85, 195.24], [667.61, 180.68, 729.33, 226.81], [763.02, 182.19, 977.84, 310.17], [729.1, 175.97, 783.84, 207.71]], \"boxes_3d\": [[1.42, 1.45, 3.2, 2.37, 1.63, 53.83], [1.38, 1.49, 3.32, 2.77, 1.64, 23.48], [1.5, 1.62, 3.89, 3.49, 1.65, 10.59], [1.44, 1.56, 3.96, 7.03, 1.61, 35.12]], \"ry\": [-1.61, -1.6, -1.6, -1.65]}\n```"
            }
        ]
    },
    {
        "id": 86,
        "data_source": "Mono3DRefer",
        "scene_name": "001153",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-0.85, 2.01, -1.29, 1.83, -1.55], \"boxes_2d\": [[383.38, 172.55, 745.19, 374.0], [688.1, 174.33, 907.0, 314.2], [886.11, 181.32, 1018.67, 262.02], [1048.69, 175.86, 1123.25, 219.59], [1233.88, 190.35, 1241.0, 259.75]], \"boxes_3d\": [[1.6, 1.57, 3.23, -0.28, 1.62, 6.68], [1.57, 1.5, 3.68, 2.69, 1.6, 9.99], [1.47, 1.6, 3.66, 7.29, 1.67, 15.28], [1.7, 1.63, 4.08, 20.0, 1.85, 30.29], [1.59, 1.59, 2.47, 16.14, 2.03, 17.38]], \"ry\": [-0.9, 2.26, -0.86, 2.41, -0.81]}\n```"
            }
        ]
    },
    {
        "id": 87,
        "data_source": "Mono3DRefer",
        "scene_name": "001155",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[649.12, 183.94, 703.84, 225.62]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.39, 1.85, 27.23]], \"ry\": [-1.59]}\n```"
            }
        ]
    },
    {
        "id": 88,
        "data_source": "Mono3DRefer",
        "scene_name": "001166",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.6], \"boxes_2d\": [[222.1, 191.45, 467.15, 344.94], [550.36, 157.67, 577.34, 185.05]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.06, 1.7, 9.13], [1.97, 1.87, 4.53, -3.47, 0.9, 54.69]], \"ry\": [1.55, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 89,
        "data_source": "Mono3DRefer",
        "scene_name": "001178",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -1.63, -1.8], \"boxes_2d\": [[740.73, 169.42, 833.35, 238.84], [739.34, 157.62, 804.81, 219.36], [754.39, 172.19, 900.54, 263.26]], \"boxes_3d\": [[1.52, 1.53, 4.15, 4.25, 1.48, 18.03], [1.8, 1.74, 4.96, 5.15, 1.38, 23.6], [1.38, 1.64, 3.51, 3.62, 1.39, 12.76]], \"ry\": [-1.51, -1.42, -1.53]}\n```"
            }
        ]
    },
    {
        "id": 90,
        "data_source": "Mono3DRefer",
        "scene_name": "001202",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[550.41, 180.18, 577.8, 199.51]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.58, 2.03, 56.62]], \"ry\": [1.61]}\n```"
            }
        ]
    },
    {
        "id": 91,
        "data_source": "Mono3DRefer",
        "scene_name": "001212",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.04], \"boxes_2d\": [[203.15, 196.65, 286.16, 232.69]], \"boxes_3d\": [[1.48, 1.79, 4.15, -17.13, 2.66, 34.0]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 92,
        "data_source": "Mono3DRefer",
        "scene_name": "001219",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.7], \"boxes_2d\": [[543.31, 179.15, 565.2, 197.83], [501.25, 178.63, 544.45, 215.09]], \"boxes_3d\": [[1.45, 1.53, 3.98, -4.53, 1.98, 58.78], [1.65, 1.56, 3.98, -4.19, 1.94, 34.88]], \"ry\": [1.55, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 93,
        "data_source": "Mono3DRefer",
        "scene_name": "001261",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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\": [1.25, -1.71, 1.71, -1.44], \"boxes_2d\": [[765.66, 148.65, 1005.7, 317.65], [678.23, 165.78, 743.0, 218.81], [502.89, 176.96, 552.87, 215.63], [566.92, 173.52, 608.01, 203.47]], \"boxes_3d\": [[1.77, 1.63, 4.1, 3.32, 1.55, 9.69], [1.69, 1.64, 4.21, 3.41, 1.5, 25.39], [1.55, 1.64, 3.7, -3.51, 1.74, 31.06], [1.63, 1.81, 4.54, -1.28, 1.7, 41.98]], \"ry\": [1.57, -1.58, 1.59, -1.47]}\n```"
            }
        ]
    },
    {
        "id": 94,
        "data_source": "Mono3DRefer",
        "scene_name": "001312",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[518.79, 175.59, 552.12, 204.6]], \"boxes_3d\": [[1.65, 1.56, 3.98, -4.46, 1.83, 43.34]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 95,
        "data_source": "Mono3DRefer",
        "scene_name": "001324",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.49], \"boxes_2d\": [[406.78, 176.5, 482.13, 246.64], [436.52, 177.89, 481.38, 211.8]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.41, 1.8, 19.51], [1.47, 1.7, 4.39, -7.18, 1.73, 33.88]], \"ry\": [1.44, 1.28]}\n```"
            }
        ]
    },
    {
        "id": 96,
        "data_source": "Mono3DRefer",
        "scene_name": "001345",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[399.07, 181.42, 434.44, 200.9]], \"boxes_3d\": [[1.49, 1.76, 4.01, -15.5, 2.19, 58.0]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 97,
        "data_source": "Mono3DRefer",
        "scene_name": "001358",
        "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\": [-0.61, -0.22], \"boxes_2d\": [[914.2, 168.07, 1223.0, 301.71], [712.41, 168.74, 841.24, 208.98]], \"boxes_3d\": [[1.31, 1.61, 3.78, 5.67, 1.19, 7.92], [1.41, 1.63, 4.42, 6.35, 1.0, 26.51]], \"ry\": [-0.01, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 98,
        "data_source": "Mono3DRefer",
        "scene_name": "001381",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[333.06, 176.16, 474.57, 269.44]], \"boxes_3d\": [[1.5, 1.62, 4.19, -3.8, 1.59, 13.86]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 99,
        "data_source": "Mono3DRefer",
        "scene_name": "001396",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.85, -1.55], \"boxes_2d\": [[597.14, 180.9, 653.65, 226.91], [419.2, 178.15, 458.67, 201.71], [582.15, 175.79, 621.23, 211.45]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.42, 1.64, 23.41], [1.59, 1.72, 3.86, -12.08, 1.98, 51.07], [1.52, 1.67, 3.61, -0.37, 1.67, 32.82]], \"ry\": [-1.57, 1.61, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 100,
        "data_source": "Mono3DRefer",
        "scene_name": "001440",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.9], \"boxes_2d\": [[369.84, 177.56, 464.63, 213.63]], \"boxes_3d\": [[1.49, 1.64, 3.7, -8.39, 1.72, 31.48]], \"ry\": [3.13]}\n```"
            }
        ]
    },
    {
        "id": 101,
        "data_source": "Mono3DRefer",
        "scene_name": "001460",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 1.73, 1.84, 1.83, 2.01], \"boxes_2d\": [[672.82, 187.92, 776.98, 263.78], [490.91, 188.09, 532.97, 215.78], [365.46, 192.89, 463.17, 255.43], [415.65, 190.1, 492.02, 238.07], [150.29, 207.66, 370.2, 315.14]], \"boxes_3d\": [[1.41, 1.64, 3.77, 2.35, 1.77, 15.87], [1.43, 1.76, 3.97, -5.53, 2.33, 40.91], [1.49, 1.61, 3.94, -5.36, 2.09, 20.1], [1.48, 1.66, 3.9, -5.4, 2.12, 25.26], [1.31, 1.58, 4.23, -5.58, 1.98, 12.07]], \"ry\": [-1.58, 1.59, 1.58, 1.62, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 102,
        "data_source": "Mono3DRefer",
        "scene_name": "001501",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[367.39, 186.45, 413.18, 209.71]], \"boxes_3d\": [[1.46, 1.86, 4.01, -14.83, 2.4, 48.81]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 103,
        "data_source": "Mono3DRefer",
        "scene_name": "001510",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.65, -1.74, -1.78, -2.02, -2.48], \"boxes_2d\": [[629.16, 174.41, 656.27, 196.53], [669.41, 171.16, 732.52, 222.54], [719.28, 182.28, 821.79, 252.43], [868.9, 179.82, 1033.59, 254.84], [809.78, 175.2, 877.81, 202.99]], \"boxes_3d\": [[1.5, 1.62, 3.89, 2.28, 1.64, 51.54], [1.69, 1.58, 3.95, 3.16, 1.66, 25.98], [1.41, 1.57, 3.23, 3.48, 1.64, 16.36], [1.45, 1.61, 4.2, 7.39, 1.62, 16.21], [1.48, 1.36, 3.51, 13.02, 1.63, 40.41]], \"ry\": [-1.6, -1.62, -1.58, -1.6, -2.17]}\n```"
            }
        ]
    },
    {
        "id": 104,
        "data_source": "Mono3DRefer",
        "scene_name": "001531",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [-2.23, 0.4, -2.7], \"boxes_2d\": [[1075.99, 150.49, 1241.0, 279.95], [233.99, 184.3, 443.47, 250.6], [0.0, 196.48, 304.15, 316.19]], \"boxes_3d\": [[1.54, 1.44, 2.54, 7.88, 1.28, 9.86], [1.42, 1.41, 4.3, -6.2, 1.71, 16.59], [1.38, 1.67, 4.37, -6.69, 1.74, 9.71]], \"ry\": [-1.57, 0.05, 2.99]}\n```"
            }
        ]
    },
    {
        "id": 105,
        "data_source": "Mono3DRefer",
        "scene_name": "001546",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[340.44, 182.08, 427.1, 233.16]], \"boxes_3d\": [[1.48, 1.64, 3.59, -7.17, 1.79, 23.08]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 106,
        "data_source": "Mono3DRefer",
        "scene_name": "001594",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, -1.71, -1.71, 1.59], \"boxes_2d\": [[0.0, 208.3, 315.98, 374.0], [682.99, 184.25, 756.21, 242.35], [668.57, 182.33, 729.87, 229.62], [536.31, 178.36, 566.16, 208.44]], \"boxes_3d\": [[1.38, 1.69, 3.74, -3.05, 1.63, 3.47], [1.51, 1.56, 3.81, 3.07, 1.86, 21.09], [1.57, 1.68, 3.83, 3.14, 1.93, 26.36], [1.52, 1.5, 3.85, -3.14, 1.83, 38.71]], \"ry\": [1.55, -1.57, -1.59, 1.51]}\n```"
            }
        ]
    },
    {
        "id": 107,
        "data_source": "Mono3DRefer",
        "scene_name": "001608",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, 2.52, 1.85, -1.57], \"boxes_2d\": [[602.8, 176.56, 670.99, 231.97], [1016.5, 166.63, 1154.68, 206.08], [385.0, 177.62, 434.12, 206.82], [584.99, 172.99, 627.78, 212.04]], \"boxes_3d\": [[1.36, 1.69, 3.38, 0.63, 1.48, 19.69], [1.45, 1.67, 4.32, 18.44, 1.24, 28.13], [1.59, 1.72, 3.86, -11.53, 1.88, 41.62], [1.52, 1.67, 3.61, -0.19, 1.55, 30.14]], \"ry\": [-1.57, 3.1, 1.58, -1.58]}\n```"
            }
        ]
    },
    {
        "id": 108,
        "data_source": "Mono3DRefer",
        "scene_name": "001613",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[431.65, 182.37, 464.52, 201.12]], \"boxes_3d\": [[1.55, 1.88, 4.59, -14.11, 2.39, 63.05]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 109,
        "data_source": "Mono3DRefer",
        "scene_name": "001614",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.16, -0.94, -1.49, -0.74, -0.64], \"boxes_2d\": [[583.44, 186.99, 762.22, 282.79], [447.69, 162.94, 635.32, 272.52], [872.24, 167.19, 958.81, 232.79], [272.24, 190.82, 460.84, 262.76], [198.02, 196.91, 339.01, 252.77]], \"boxes_3d\": [[1.48, 1.71, 4.65, 1.38, 1.79, 14.03], [2.04, 1.66, 4.62, -1.34, 1.87, 15.83], [1.42, 1.64, 3.95, 7.57, 1.32, 17.77], [1.53, 1.61, 4.73, -6.12, 2.04, 18.66], [1.4, 1.56, 3.48, -9.93, 2.15, 21.13]], \"ry\": [-1.07, -1.03, -1.09, -1.05, -1.07]}\n```"
            }
        ]
    },
    {
        "id": 110,
        "data_source": "Mono3DRefer",
        "scene_name": "001636",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.37, 1.65], \"boxes_2d\": [[729.46, 180.61, 775.58, 207.91], [655.01, 180.19, 688.71, 206.82]], \"boxes_3d\": [[1.48, 1.8, 4.31, 8.34, 1.96, 42.07], [1.69, 1.88, 4.5, 4.19, 2.2, 48.52]], \"ry\": [-1.18, 1.74]}\n```"
            }
        ]
    },
    {
        "id": 111,
        "data_source": "Mono3DRefer",
        "scene_name": "001642",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"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\": [[415.51, 183.18, 503.66, 209.05]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.34, 1.96, 40.07]], \"ry\": [0.08]}\n```"
            }
        ]
    },
    {
        "id": 112,
        "data_source": "Mono3DRefer",
        "scene_name": "001669",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.66], \"boxes_2d\": [[0.0, 202.0, 330.76, 374.0], [519.33, 186.05, 565.04, 221.09]], \"boxes_3d\": [[1.6, 1.68, 3.94, -3.01, 1.8, 3.47], [1.42, 1.66, 4.11, -3.01, 2.04, 32.34]], \"ry\": [1.57, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 113,
        "data_source": "Mono3DRefer",
        "scene_name": "001720",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.84, 2.27], \"boxes_2d\": [[100.22, 193.47, 277.74, 274.71], [395.03, 181.1, 454.37, 216.33], [0.0, 201.56, 142.82, 320.82]], \"boxes_3d\": [[1.48, 1.6, 3.9, -9.08, 1.98, 15.89], [1.61, 1.67, 4.56, -9.1, 2.03, 35.68], [1.53, 1.66, 4.01, -9.13, 2.02, 10.72]], \"ry\": [1.58, 1.59, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 114,
        "data_source": "Mono3DRefer",
        "scene_name": "001769",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [2.27, 2.2, 2.0, 1.87, 1.85, 1.75], \"boxes_2d\": [[0.0, 181.64, 109.17, 316.75], [79.62, 194.97, 261.27, 278.46], [212.59, 179.61, 348.88, 252.31], [365.06, 182.58, 436.45, 223.51], [410.82, 181.17, 466.89, 214.36], [494.52, 177.24, 527.6, 199.73]], \"boxes_3d\": [[1.8, 1.61, 3.83, -9.01, 1.93, 9.89], [1.45, 1.45, 3.4, -8.91, 1.94, 14.87], [1.75, 1.71, 4.31, -8.84, 1.95, 19.72], [1.53, 1.66, 4.01, -8.47, 1.94, 29.43], [1.48, 1.6, 3.9, -8.18, 1.89, 34.64], [1.61, 1.67, 4.56, -7.43, 1.96, 54.42]], \"ry\": [1.54, 1.67, 1.58, 1.59, 1.62, 1.61]}\n```"
            }
        ]
    },
    {
        "id": 115,
        "data_source": "Mono3DRefer",
        "scene_name": "001793",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[475.76, 183.59, 549.41, 232.12]], \"boxes_3d\": [[1.48, 1.87, 4.42, -3.27, 1.87, 24.78]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 116,
        "data_source": "Mono3DRefer",
        "scene_name": "002032",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[719.29, 173.26, 739.12, 190.02]], \"boxes_3d\": [[1.43, 1.59, 4.21, 10.66, 1.49, 64.43]], \"ry\": [-1.37]}\n```"
            }
        ]
    },
    {
        "id": 117,
        "data_source": "Mono3DRefer",
        "scene_name": "002033",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [2.96, -1.62, 1.68], \"boxes_2d\": [[577.56, 173.61, 830.23, 259.64], [547.9, 184.44, 575.2, 208.59], [453.42, 187.92, 487.62, 212.19]], \"boxes_3d\": [[1.47, 1.77, 4.49, 1.61, 1.51, 13.72], [1.52, 1.62, 4.5, -3.34, 2.32, 48.74], [1.42, 1.66, 4.5, -8.93, 2.42, 46.35]], \"ry\": [3.08, -1.68, 1.49]}\n```"
            }
        ]
    },
    {
        "id": 118,
        "data_source": "Mono3DRefer",
        "scene_name": "002038",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.37, 2.3, 2.01, 1.9, 1.84], \"boxes_2d\": [[1096.87, 174.29, 1233.96, 260.59], [623.24, 179.23, 782.74, 255.14], [877.05, 180.37, 979.81, 227.64], [1006.5, 180.5, 1084.61, 214.51], [1078.58, 179.52, 1139.87, 209.96]], \"boxes_3d\": [[1.65, 1.67, 3.64, 12.09, 1.7, 15.68], [1.59, 1.55, 3.93, 2.26, 1.77, 17.27], [1.47, 1.57, 4.24, 11.02, 1.75, 24.92], [1.4, 1.68, 4.45, 19.67, 1.77, 32.55], [1.45, 1.62, 3.77, 25.55, 1.81, 36.93]], \"ry\": [-0.72, 2.43, 2.43, 2.43, 2.44]}\n```"
            }
        ]
    },
    {
        "id": 119,
        "data_source": "Mono3DRefer",
        "scene_name": "002041",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 1.34, -0.75, -1.85, -1.45, 3.11, 2.13], \"boxes_2d\": [[199.46, 176.48, 399.01, 323.96], [319.58, 188.12, 450.36, 273.67], [842.79, 160.35, 908.02, 182.4], [1034.91, 189.97, 1241.0, 374.0], [990.1, 166.12, 1188.15, 336.63], [726.45, 160.98, 910.69, 229.88], [1038.64, 168.01, 1171.3, 215.63]], \"boxes_3d\": [[1.7, 1.5, 3.34, -4.16, 1.77, 10.08], [1.48, 1.71, 3.93, -4.82, 1.81, 14.93], [1.6, 1.75, 4.63, 19.92, 0.69, 54.19], [1.51, 1.58, 3.31, 3.73, 1.64, 4.39], [1.61, 1.6, 3.11, 5.71, 1.56, 8.51], [1.79, 1.69, 4.72, 5.68, 1.52, 20.15], [1.43, 1.7, 3.95, 16.02, 1.3, 23.4]], \"ry\": [1.51, 1.04, -0.4, -1.18, -0.88, -2.91, 2.73]}\n```"
            }
        ]
    },
    {
        "id": 120,
        "data_source": "Mono3DRefer",
        "scene_name": "002064",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -1.6], \"boxes_2d\": [[188.09, 182.39, 420.91, 323.83], [659.9, 168.48, 695.33, 201.93]], \"boxes_3d\": [[1.59, 1.63, 3.83, -4.05, 1.74, 10.17], [1.62, 1.7, 3.29, 3.4, 1.44, 37.05]], \"ry\": [1.58, -1.51]}\n```"
            }
        ]
    },
    {
        "id": 121,
        "data_source": "Mono3DRefer",
        "scene_name": "002094",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.21], \"boxes_2d\": [[0.0, 187.8, 140.31, 257.61]], \"boxes_3d\": [[1.58, 1.82, 3.87, -14.4, 2.0, 18.74]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 122,
        "data_source": "Mono3DRefer",
        "scene_name": "002240",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [0.54, -2.62, 1.29], \"boxes_2d\": [[18.14, 191.26, 280.39, 284.87], [191.47, 191.18, 365.98, 254.81], [945.16, 160.32, 1002.18, 188.75]], \"boxes_3d\": [[1.52, 1.64, 3.7, -8.26, 1.89, 13.09], [1.5, 1.62, 3.69, -8.35, 1.99, 18.25], [1.51, 1.7, 4.45, 20.53, 0.87, 40.96]], \"ry\": [-0.02, -3.04, 1.76]}\n```"
            }
        ]
    },
    {
        "id": 123,
        "data_source": "Mono3DRefer",
        "scene_name": "002242",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[466.82, 185.0, 539.35, 234.47]], \"boxes_3d\": [[1.45, 1.77, 4.04, -3.47, 1.88, 23.84]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 124,
        "data_source": "Mono3DRefer",
        "scene_name": "002244",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[546.18, 178.81, 571.58, 202.28]], \"boxes_3d\": [[1.7, 1.72, 4.11, -3.87, 2.17, 54.89]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 125,
        "data_source": "Mono3DRefer",
        "scene_name": "002320",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[619.6, 163.41, 648.29, 190.08]], \"boxes_3d\": [[1.5, 1.62, 4.19, 1.4, 0.99, 43.18]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 126,
        "data_source": "Mono3DRefer",
        "scene_name": "002355",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"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\": [[127.46, 199.34, 245.49, 252.76]], \"boxes_3d\": [[1.35, 1.5, 3.64, -12.57, 2.2, 21.6]], \"ry\": [1.53]}\n```"
            }
        ]
    },
    {
        "id": 127,
        "data_source": "Mono3DRefer",
        "scene_name": "002361",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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\": [-0.48, 2.8, -1.07, -0.77], \"boxes_2d\": [[426.71, 190.75, 635.79, 273.73], [340.71, 179.15, 520.23, 257.22], [782.22, 192.06, 1093.38, 373.49], [634.58, 189.0, 958.28, 330.22]], \"boxes_3d\": [[1.49, 1.66, 4.16, -1.67, 1.92, 15.51], [1.85, 1.68, 4.34, -4.78, 2.04, 19.3], [1.39, 1.59, 3.17, 3.39, 1.62, 7.39], [1.46, 1.55, 4.28, 2.51, 1.71, 9.56]], \"ry\": [-0.59, 2.56, -0.66, -0.52]}\n```"
            }
        ]
    },
    {
        "id": 128,
        "data_source": "Mono3DRefer",
        "scene_name": "002434",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [2.21, 2.0], \"boxes_2d\": [[0.0, 190.8, 153.16, 248.0], [241.18, 188.53, 311.16, 219.87]], \"boxes_3d\": [[1.49, 1.76, 4.01, -15.95, 2.07, 21.71], [1.38, 1.8, 3.41, -16.03, 2.16, 34.74]], \"ry\": [1.58, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 129,
        "data_source": "Mono3DRefer",
        "scene_name": "002469",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[533.1, 174.6, 555.89, 195.22]], \"boxes_3d\": [[1.65, 1.56, 3.98, -5.44, 1.82, 60.15]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 130,
        "data_source": "Mono3DRefer",
        "scene_name": "002515",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.73], \"boxes_2d\": [[375.39, 183.56, 500.35, 293.98], [453.71, 184.16, 532.47, 247.8]], \"boxes_3d\": [[1.65, 1.75, 3.39, -2.93, 1.85, 12.74], [1.57, 1.54, 4.01, -3.21, 1.9, 20.21]], \"ry\": [1.45, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 131,
        "data_source": "Mono3DRefer",
        "scene_name": "002518",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[417.4, 181.38, 498.76, 242.92]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.61, 1.98, 22.27]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 132,
        "data_source": "Mono3DRefer",
        "scene_name": "002550",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.78], \"boxes_2d\": [[43.01, 176.47, 439.29, 374.0], [393.84, 180.67, 526.04, 281.44]], \"boxes_3d\": [[1.65, 1.75, 3.39, -2.59, 1.7, 5.9], [1.57, 1.54, 4.01, -2.64, 1.72, 13.36]], \"ry\": [1.48, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 133,
        "data_source": "Mono3DRefer",
        "scene_name": "002608",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[452.34, 191.44, 519.08, 255.75], [479.21, 191.26, 531.19, 236.15]], \"boxes_3d\": [[1.65, 1.75, 3.39, -3.6, 2.22, 21.05], [1.57, 1.54, 4.01, -4.1, 2.33, 28.46]], \"ry\": [1.43, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 134,
        "data_source": "Mono3DRefer",
        "scene_name": "002660",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.55], \"boxes_2d\": [[104.88, 194.63, 336.49, 259.53]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.93, 1.9, 16.66]], \"ry\": [0.06]}\n```"
            }
        ]
    },
    {
        "id": 135,
        "data_source": "Mono3DRefer",
        "scene_name": "002672",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -1.75, 1.76, -1.65, -1.48, 2.32], \"boxes_2d\": [[165.68, 169.46, 369.08, 290.18], [722.74, 182.95, 823.6, 257.29], [629.0, 183.08, 666.36, 208.79], [723.29, 167.42, 784.98, 240.46], [690.91, 183.35, 721.75, 208.7], [0.0, 194.35, 228.35, 356.77]], \"boxes_3d\": [[1.93, 1.59, 4.01, -6.25, 1.91, 13.63], [1.58, 1.67, 3.84, 3.8, 1.85, 17.57], [1.53, 1.67, 3.78, 2.4, 2.19, 45.55], [2.05, 1.5, 3.83, 4.34, 1.93, 22.3], [1.54, 1.63, 3.67, 6.24, 2.24, 46.65], [1.56, 1.59, 3.69, -6.76, 1.87, 9.03]], \"ry\": [1.69, -1.54, 1.81, -1.47, -1.34, 1.69]}\n```"
            }
        ]
    },
    {
        "id": 136,
        "data_source": "Mono3DRefer",
        "scene_name": "002750",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [1.94, 1.66, 1.86, 1.8, 1.65], \"boxes_2d\": [[802.5, 178.94, 928.66, 246.61], [1109.25, 174.78, 1157.64, 203.81], [884.31, 181.36, 985.4, 233.28], [968.03, 179.76, 1032.64, 217.66], [1044.25, 176.96, 1086.28, 205.39]], \"boxes_3d\": [[1.48, 1.51, 4.35, 6.49, 1.65, 18.13], [1.46, 1.74, 3.99, 27.87, 1.57, 38.4], [1.42, 1.68, 4.29, 10.11, 1.71, 22.36], [1.36, 1.4, 3.8, 15.27, 1.65, 28.19], [1.44, 1.65, 2.96, 24.28, 1.68, 38.49]], \"ry\": [2.28, 2.28, 2.28, 2.29, 2.21]}\n```"
            }
        ]
    },
    {
        "id": 137,
        "data_source": "Mono3DRefer",
        "scene_name": "002766",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[533.4, 172.66, 566.78, 205.81]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.76, 1.99, 45.62]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 138,
        "data_source": "Mono3DRefer",
        "scene_name": "002770",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [-0.97, 1.78, 1.64], \"boxes_2d\": [[0.0, 187.51, 376.85, 374.0], [404.06, 182.31, 525.19, 270.5], [553.1, 179.8, 584.72, 204.39]], \"boxes_3d\": [[1.77, 1.75, 4.67, -3.18, 1.89, 4.52], [1.6, 1.68, 3.94, -2.95, 1.81, 15.24], [1.42, 1.66, 4.11, -2.5, 1.86, 44.25]], \"ry\": [-1.56, 1.59, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 139,
        "data_source": "Mono3DRefer",
        "scene_name": "002784",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[534.85, 183.46, 562.66, 211.04]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.03, 2.39, 46.83]], \"ry\": [1.45]}\n```"
            }
        ]
    },
    {
        "id": 140,
        "data_source": "Mono3DRefer",
        "scene_name": "002787",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [1.21, 1.83, 1.69, 1.68, -1.62], \"boxes_2d\": [[733.38, 136.2, 945.33, 272.19], [278.8, 188.44, 434.64, 291.61], [421.28, 185.27, 490.74, 234.56], [455.58, 172.48, 511.73, 219.43], [588.29, 169.6, 616.89, 195.28]], \"boxes_3d\": [[1.79, 1.72, 4.35, 3.39, 1.33, 11.77], [1.45, 1.49, 4.07, -4.25, 1.75, 12.61], [1.27, 1.54, 3.58, -4.43, 1.65, 20.97], [1.63, 1.65, 3.91, -4.75, 1.65, 27.34], [1.46, 1.53, 3.17, -0.5, 1.3, 43.04]], \"ry\": [1.48, 1.51, 1.48, 1.51, -1.63]}\n```"
            }
        ]
    },
    {
        "id": 141,
        "data_source": "Mono3DRefer",
        "scene_name": "002791",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[607.66, 185.09, 652.84, 216.23]], \"boxes_3d\": [[1.44, 1.66, 4.53, 1.06, 2.08, 36.56]], \"ry\": [-1.4]}\n```"
            }
        ]
    },
    {
        "id": 142,
        "data_source": "Mono3DRefer",
        "scene_name": "002815",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.89, -2.56, 0.44, -2.67, -1.82, -2.77, 0.44, -2.8, 0.29, -2.95, -1.68, -1.71, -1.63], \"boxes_2d\": [[748.26, 150.35, 1071.41, 373.69], [0.0, 178.57, 298.64, 297.28], [158.71, 155.71, 421.66, 260.61], [116.38, 171.13, 359.58, 277.79], [707.66, 177.92, 846.09, 268.3], [233.2, 160.04, 413.3, 246.41], [295.98, 178.28, 450.83, 242.44], [303.43, 170.14, 466.27, 231.43], [392.91, 167.84, 503.97, 208.6], [429.36, 162.4, 518.15, 204.26], [651.53, 173.33, 698.51, 209.93], [682.5, 174.41, 770.03, 240.81], [639.21, 166.09, 673.62, 196.58]], \"boxes_3d\": [[1.76, 1.71, 4.35, 2.76, 1.61, 7.91], [1.5, 1.58, 3.47, -6.48, 1.6, 10.07], [1.95, 1.64, 4.57, -6.34, 1.66, 14.5], [1.66, 1.58, 3.31, -6.24, 1.66, 12.25], [1.44, 1.66, 3.25, 2.87, 1.55, 13.26], [1.87, 1.61, 3.53, -6.6, 1.62, 16.74], [1.59, 1.56, 3.5, -6.16, 1.75, 18.83], [1.72, 1.65, 4.33, -6.68, 1.67, 21.53], [1.57, 1.54, 4.1, -6.53, 1.4, 29.2], [1.89, 1.59, 3.87, -6.42, 1.44, 34.07], [1.45, 1.59, 3.59, 2.68, 1.5, 30.78], [1.54, 1.67, 3.72, 2.87, 1.6, 18.77], [1.66, 1.74, 3.65, 2.6, 1.32, 41.53]], \"ry\": [-1.57, -3.12, 0.03, -3.13, -1.61, -3.14, 0.13, -3.1, 0.07, -3.13, -1.59, -1.57, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 143,
        "data_source": "Mono3DRefer",
        "scene_name": "002829",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -0.59], \"boxes_2d\": [[271.73, 201.21, 499.32, 374.0], [668.47, 172.86, 841.71, 251.4]], \"boxes_3d\": [[1.38, 1.43, 3.64, -2.21, 1.75, 7.87], [1.62, 1.47, 3.66, 3.27, 1.64, 16.44]], \"ry\": [1.55, -0.4]}\n```"
            }
        ]
    },
    {
        "id": 144,
        "data_source": "Mono3DRefer",
        "scene_name": "002835",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[546.08, 179.86, 574.66, 200.58]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.62, 1.97, 52.96]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 145,
        "data_source": "Mono3DRefer",
        "scene_name": "002836",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [3.07, 1.91], \"boxes_2d\": [[899.37, 176.51, 974.98, 204.6], [339.83, 188.91, 381.97, 207.39]], \"boxes_3d\": [[1.42, 1.58, 3.48, 17.03, 1.63, 37.76], [1.41, 1.85, 4.7, -20.83, 2.8, 60.48]], \"ry\": [-2.79, 1.58]}\n```"
            }
        ]
    },
    {
        "id": 146,
        "data_source": "Mono3DRefer",
        "scene_name": "002879",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, -0.72, -2.43, 1.67], \"boxes_2d\": [[526.42, 165.78, 588.41, 209.98], [612.77, 167.65, 664.07, 195.27], [0.0, 179.91, 193.71, 374.0], [471.83, 176.1, 553.23, 240.39]], \"boxes_3d\": [[1.7, 1.82, 4.45, -2.14, 1.45, 30.18], [1.57, 1.56, 2.62, 1.66, 1.29, 42.49], [1.47, 1.68, 4.26, -6.11, 1.55, 5.93], [1.46, 1.63, 4.47, -2.47, 1.57, 18.88]], \"ry\": [1.68, -0.68, 3.08, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 147,
        "data_source": "Mono3DRefer",
        "scene_name": "002910",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -2.09], \"boxes_2d\": [[648.07, 182.34, 742.98, 247.07], [797.24, 158.03, 1219.69, 374.0]], \"boxes_3d\": [[1.38, 1.51, 4.1, 1.94, 1.63, 17.77], [1.6, 1.66, 3.55, 3.12, 1.52, 6.62]], \"ry\": [-1.66, -1.67]}\n```"
            }
        ]
    },
    {
        "id": 148,
        "data_source": "Mono3DRefer",
        "scene_name": "002941",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[520.77, 179.88, 555.6, 215.69], [493.8, 181.79, 524.34, 202.72]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.68, 2.05, 36.27], [1.47, 1.7, 4.39, -7.55, 2.14, 53.51]], \"ry\": [1.45, 1.31]}\n```"
            }
        ]
    },
    {
        "id": 149,
        "data_source": "Mono3DRefer",
        "scene_name": "002958",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[744.32, 181.71, 998.35, 331.31]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.87, 1.53, 9.09]], \"ry\": [-1.58]}\n```"
            }
        ]
    },
    {
        "id": 150,
        "data_source": "Mono3DRefer",
        "scene_name": "002959",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-2.26, -1.91, 1.65, -1.69, 1.64, 1.61, 1.49], \"boxes_2d\": [[930.55, 208.82, 1241.0, 374.0], [763.29, 186.68, 1039.96, 362.67], [466.46, 177.36, 530.7, 235.99], [667.75, 181.66, 723.09, 223.38], [516.02, 178.58, 556.48, 208.48], [538.99, 174.37, 569.44, 202.15], [645.22, 177.13, 679.86, 204.39]], \"boxes_3d\": [[1.51, 1.56, 3.81, 3.07, 1.76, 3.33], [1.57, 1.68, 3.83, 3.06, 1.76, 8.58], [1.52, 1.5, 3.85, -3.17, 1.66, 20.82], [1.43, 1.59, 3.68, 3.08, 1.77, 26.9], [1.29, 1.59, 4.12, -3.42, 1.58, 33.72], [1.52, 1.61, 3.59, -3.21, 1.63, 41.63], [1.51, 1.65, 4.28, 3.02, 1.78, 42.52]], \"ry\": [-1.57, -1.58, 1.5, -1.58, 1.54, 1.53, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 151,
        "data_source": "Mono3DRefer",
        "scene_name": "003015",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -1.78, -1.78, 1.67, -1.72, -1.45, -1.9], \"boxes_2d\": [[153.59, 199.58, 301.06, 290.06], [538.9, 182.4, 624.39, 245.02], [514.33, 182.75, 586.7, 230.7], [278.75, 190.9, 340.5, 238.02], [491.73, 188.42, 540.0, 223.95], [733.66, 181.69, 901.64, 326.55], [596.47, 186.05, 744.91, 278.47]], \"boxes_3d\": [[1.5, 1.68, 4.03, -7.83, 2.12, 15.08], [1.6, 1.7, 3.56, -0.94, 1.88, 20.54], [1.52, 1.73, 3.89, -2.21, 1.88, 25.34], [1.44, 1.6, 3.79, -10.42, 2.11, 25.14], [1.37, 1.51, 3.49, -4.07, 2.05, 30.57], [1.51, 1.69, 4.04, 2.96, 1.65, 9.81], [1.46, 1.58, 3.93, 0.94, 1.73, 13.81]], \"ry\": [1.36, -1.82, -1.87, 1.28, -1.85, -1.17, -1.83]}\n```"
            }
        ]
    },
    {
        "id": 152,
        "data_source": "Mono3DRefer",
        "scene_name": "003049",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [0.42], \"boxes_2d\": [[254.34, 187.95, 415.36, 234.01]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.73, 1.87, 22.98]], \"ry\": [0.06]}\n```"
            }
        ]
    },
    {
        "id": 153,
        "data_source": "Mono3DRefer",
        "scene_name": "003062",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[434.48, 188.96, 531.68, 258.17]], \"boxes_3d\": [[1.46, 1.75, 4.23, -3.08, 1.9, 18.08]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 154,
        "data_source": "Mono3DRefer",
        "scene_name": "003076",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[397.99, 183.14, 436.43, 212.75]], \"boxes_3d\": [[1.45, 1.62, 3.83, -10.13, 2.0, 37.98]], \"ry\": [1.4]}\n```"
            }
        ]
    },
    {
        "id": 155,
        "data_source": "Mono3DRefer",
        "scene_name": "003103",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [1.76, -2.21, -1.81, -1.4, 1.5, -2.48], \"boxes_2d\": [[406.36, 172.59, 523.27, 266.09], [896.53, 186.21, 1241.0, 374.0], [749.06, 196.18, 990.51, 366.58], [489.2, 183.11, 561.01, 231.47], [641.29, 177.5, 675.14, 205.82], [0.0, 162.71, 249.7, 304.9]], \"boxes_3d\": [[1.7, 1.63, 4.08, -2.96, 1.73, 15.3], [1.59, 1.59, 2.47, 2.43, 1.66, 2.97], [1.37, 1.59, 3.22, 2.47, 1.67, 7.76], [1.4, 1.67, 3.72, -2.68, 1.75, 23.22], [1.49, 1.61, 3.74, 2.61, 1.76, 40.14], [1.59, 1.63, 4.43, -7.17, 1.51, 9.0]], \"ry\": [1.58, -1.57, -1.51, -1.51, 1.57, -3.14]}\n```"
            }
        ]
    },
    {
        "id": 156,
        "data_source": "Mono3DRefer",
        "scene_name": "003111",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -2.18], \"boxes_2d\": [[668.92, 182.7, 778.1, 253.41], [855.7, 155.55, 1241.0, 374.0]], \"boxes_3d\": [[1.38, 1.51, 4.1, 2.4, 1.62, 16.47], [1.6, 1.66, 3.55, 3.49, 1.52, 5.76]], \"ry\": [-1.66, -1.66]}\n```"
            }
        ]
    },
    {
        "id": 157,
        "data_source": "Mono3DRefer",
        "scene_name": "003117",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.51], \"boxes_2d\": [[0.0, 200.53, 416.4, 374.0], [362.99, 194.12, 401.02, 227.64]], \"boxes_3d\": [[1.47, 1.7, 4.39, -3.05, 1.78, 6.31], [1.65, 1.75, 3.39, -12.39, 2.84, 39.01]], \"ry\": [1.5, 1.21]}\n```"
            }
        ]
    },
    {
        "id": 158,
        "data_source": "Mono3DRefer",
        "scene_name": "003153",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[498.21, 184.79, 561.16, 228.71]], \"boxes_3d\": [[1.5, 1.7, 3.77, -2.99, 1.98, 27.23]], \"ry\": [1.64]}\n```"
            }
        ]
    },
    {
        "id": 159,
        "data_source": "Mono3DRefer",
        "scene_name": "003158",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[425.55, 188.26, 520.1, 255.88]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.36, 1.87, 18.13]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 160,
        "data_source": "Mono3DRefer",
        "scene_name": "003257",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -1.66, -2.63], \"boxes_2d\": [[803.68, 187.19, 1126.09, 374.0], [764.1, 179.0, 825.31, 229.29], [321.86, 189.7, 484.31, 267.41]], \"boxes_3d\": [[1.46, 1.53, 3.17, 2.58, 1.61, 6.1], [1.52, 1.54, 4.5, 6.05, 1.74, 24.15], [1.59, 1.45, 3.15, -4.6, 1.99, 16.02]], \"ry\": [-1.43, -1.42, -2.91]}\n```"
            }
        ]
    },
    {
        "id": 161,
        "data_source": "Mono3DRefer",
        "scene_name": "003271",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.69, 1.89], \"boxes_2d\": [[275.05, 179.5, 461.66, 317.96], [465.84, 182.44, 532.29, 238.12], [529.99, 176.6, 582.88, 209.72]], \"boxes_3d\": [[1.7, 1.53, 3.82, -3.44, 1.81, 10.87], [1.5, 1.53, 3.38, -3.27, 1.8, 21.5], [1.56, 1.56, 3.6, -2.64, 1.76, 35.92]], \"ry\": [1.57, 1.54, 1.82]}\n```"
            }
        ]
    },
    {
        "id": 162,
        "data_source": "Mono3DRefer",
        "scene_name": "003366",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 2.01], \"boxes_2d\": [[0.0, 198.46, 118.5, 255.16], [231.67, 192.69, 305.58, 230.48]], \"boxes_3d\": [[1.67, 1.82, 4.42, -19.5, 2.63, 25.02], [1.63, 1.87, 3.47, -16.23, 2.62, 34.41]], \"ry\": [1.57, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 163,
        "data_source": "Mono3DRefer",
        "scene_name": "003422",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[319.42, 189.24, 370.27, 212.66]], \"boxes_3d\": [[1.33, 1.72, 3.63, -16.37, 2.37, 44.63]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 164,
        "data_source": "Mono3DRefer",
        "scene_name": "003432",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.61], \"boxes_2d\": [[478.81, 182.48, 536.38, 225.85], [550.16, 172.71, 578.53, 195.23]], \"boxes_3d\": [[1.39, 1.48, 3.76, -3.57, 1.74, 25.42], [1.46, 1.75, 4.23, -3.12, 1.48, 49.54]], \"ry\": [1.57, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 165,
        "data_source": "Mono3DRefer",
        "scene_name": "003439",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.44, 1.69], \"boxes_2d\": [[0.0, 181.99, 315.92, 374.0], [353.47, 187.42, 388.36, 214.08], [377.84, 188.69, 477.26, 265.0]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.07, 1.74, 3.68], [1.65, 1.75, 3.39, -15.8, 2.63, 47.53], [1.47, 1.7, 4.39, -4.12, 1.87, 16.76]], \"ry\": [1.52, 1.12, 1.45]}\n```"
            }
        ]
    },
    {
        "id": 166,
        "data_source": "Mono3DRefer",
        "scene_name": "003549",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -2.14, -1.73, 2.27, -1.7, -1.64], \"boxes_2d\": [[579.3, 176.78, 620.59, 216.07], [597.11, 172.55, 630.62, 207.49], [914.77, 183.78, 1241.0, 374.0], [686.46, 167.41, 783.22, 249.56], [0.0, 194.95, 152.6, 332.71], [669.77, 176.42, 724.38, 223.04], [645.57, 173.93, 676.76, 202.72]], \"boxes_3d\": [[1.54, 1.63, 3.67, -0.44, 1.73, 30.52], [1.77, 1.69, 4.32, 0.17, 1.78, 39.05], [1.54, 1.55, 3.51, 3.02, 1.62, 3.85], [1.74, 1.62, 4.13, 2.85, 1.66, 17.51], [1.51, 1.65, 3.94, -7.81, 1.83, 8.96], [1.53, 1.46, 3.26, 2.98, 1.67, 25.49], [1.6, 1.56, 3.45, 2.93, 1.68, 42.18]], \"ry\": [-1.58, -1.57, -1.51, -1.57, 1.57, -1.59, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 167,
        "data_source": "Mono3DRefer",
        "scene_name": "003593",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"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\": [[432.04, 178.12, 503.9, 206.01]], \"boxes_3d\": [[1.49, 1.64, 3.7, -7.95, 1.81, 40.44]], \"ry\": [3.14]}\n```"
            }
        ]
    },
    {
        "id": 168,
        "data_source": "Mono3DRefer",
        "scene_name": "003596",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"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\": [[0.0, 199.87, 239.79, 296.97]], \"boxes_3d\": [[1.41, 1.62, 3.6, -8.97, 1.96, 13.25]], \"ry\": [-1.21]}\n```"
            }
        ]
    },
    {
        "id": 169,
        "data_source": "Mono3DRefer",
        "scene_name": "003604",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -1.53], \"boxes_2d\": [[430.35, 181.03, 531.59, 248.73], [539.22, 170.31, 564.58, 194.69]], \"boxes_3d\": [[1.5, 1.7, 3.77, -3.15, 1.72, 18.12], [1.57, 1.55, 3.32, -3.91, 1.43, 48.6]], \"ry\": [1.62, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 170,
        "data_source": "Mono3DRefer",
        "scene_name": "003651",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -1.32, 1.86, 2.22, 2.03, -0.93], \"boxes_2d\": [[640.81, 173.37, 710.29, 238.53], [942.89, 171.72, 1241.0, 374.0], [490.71, 170.73, 556.88, 219.05], [122.96, 184.57, 309.89, 262.38], [403.93, 182.68, 492.14, 220.91], [715.32, 168.61, 774.58, 194.94]], \"boxes_3d\": [[1.56, 1.65, 3.69, 1.71, 1.6, 19.22], [1.39, 1.61, 3.65, 4.64, 1.39, 6.64], [1.76, 1.58, 3.68, -3.33, 1.71, 28.23], [1.56, 1.62, 4.19, -9.06, 1.86, 16.98], [1.42, 1.67, 4.53, -6.58, 1.85, 29.7], [1.54, 1.63, 3.74, 8.24, 1.3, 44.04]], \"ry\": [-1.48, -0.73, 1.74, 1.74, 1.82, -0.75]}\n```"
            }
        ]
    },
    {
        "id": 171,
        "data_source": "Mono3DRefer",
        "scene_name": "003696",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-2.31], \"boxes_2d\": [[0.0, 216.47, 68.51, 374.0]], \"boxes_3d\": [[1.41, 1.54, 3.6, -6.64, 1.8, 5.59]], \"ry\": [3.12]}\n```"
            }
        ]
    },
    {
        "id": 172,
        "data_source": "Mono3DRefer",
        "scene_name": "003747",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [3.11, -0.79], \"boxes_2d\": [[952.52, 179.27, 1134.28, 239.94], [706.52, 198.71, 788.43, 229.63]], \"boxes_3d\": [[1.54, 1.68, 4.16, 11.86, 1.74, 20.08], [1.37, 1.56, 4.19, 6.97, 2.74, 36.55]], \"ry\": [-2.64, -0.6]}\n```"
            }
        ]
    },
    {
        "id": 173,
        "data_source": "Mono3DRefer",
        "scene_name": "003748",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[321.4, 180.77, 372.19, 204.2]], \"boxes_3d\": [[1.34, 1.73, 3.98, -16.0, 1.84, 43.97]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 174,
        "data_source": "Mono3DRefer",
        "scene_name": "003767",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [2.25, 1.62, -1.56], \"boxes_2d\": [[0.0, 175.11, 95.47, 233.27], [553.27, 177.98, 575.0, 197.56], [584.36, 176.74, 622.1, 214.33]], \"boxes_3d\": [[1.92, 1.58, 3.93, -20.7, 2.03, 25.89], [1.66, 1.67, 4.49, -4.05, 2.13, 64.13], [1.62, 1.63, 4.5, -0.33, 1.82, 33.71]], \"ry\": [1.58, 1.56, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 175,
        "data_source": "Mono3DRefer",
        "scene_name": "003769",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [2.04], \"boxes_2d\": [[193.63, 191.59, 288.76, 231.91]], \"boxes_3d\": [[1.56, 1.91, 4.44, -16.1, 2.43, 31.71]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 176,
        "data_source": "Mono3DRefer",
        "scene_name": "003808",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -1.73, -1.37, -1.99, -1.56], \"boxes_2d\": [[0.0, 210.77, 372.12, 374.0], [664.81, 177.13, 756.89, 245.0], [361.74, 187.54, 495.6, 283.92], [768.17, 179.46, 1241.0, 374.0], [632.49, 178.09, 668.23, 208.12]], \"boxes_3d\": [[1.33, 1.71, 4.09, -2.94, 1.66, 4.29], [1.49, 1.56, 4.34, 2.37, 1.62, 18.21], [1.42, 1.53, 4.12, -3.16, 1.72, 13.17], [1.59, 1.59, 3.89, 2.53, 1.66, 5.83], [1.38, 1.64, 3.51, 1.96, 1.64, 35.16]], \"ry\": [-1.6, -1.61, -1.61, -1.6, -1.5]}\n```"
            }
        ]
    },
    {
        "id": 177,
        "data_source": "Mono3DRefer",
        "scene_name": "003904",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.01, 1.86, -1.95, -1.76, 1.72, 1.66, 1.68, 1.82], \"boxes_2d\": [[0.0, 202.66, 366.21, 374.0], [242.62, 197.41, 481.3, 364.6], [752.67, 190.14, 1023.32, 374.0], [688.05, 188.11, 822.26, 287.92], [497.33, 185.82, 560.97, 238.62], [533.48, 174.06, 584.33, 225.26], [563.63, 176.24, 608.05, 216.44], [615.51, 182.74, 652.5, 205.62]], \"boxes_3d\": [[1.54, 1.5, 3.48, -2.49, 1.74, 3.4], [1.44, 1.63, 3.32, -2.63, 1.78, 8.31], [1.55, 1.55, 3.27, 2.72, 1.77, 7.95], [1.48, 1.6, 3.79, 2.4, 1.79, 13.03], [1.56, 1.55, 3.64, -2.61, 2.0, 23.67], [1.91, 1.66, 4.22, -2.03, 1.98, 29.19], [1.83, 1.69, 4.28, -1.14, 2.01, 35.17], [1.51, 1.63, 4.03, 1.71, 2.22, 50.61]], \"ry\": [-1.61, 1.56, -1.63, -1.58, 1.61, 1.59, 1.65, 1.85]}\n```"
            }
        ]
    },
    {
        "id": 178,
        "data_source": "Mono3DRefer",
        "scene_name": "003928",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[490.6, 188.74, 553.02, 235.61]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.0, 2.0, 24.93]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 179,
        "data_source": "Mono3DRefer",
        "scene_name": "003978",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -2.83], \"boxes_2d\": [[0.0, 219.75, 117.82, 374.0], [257.22, 191.93, 419.89, 251.91]], \"boxes_3d\": [[1.42, 1.62, 3.5, -6.89, 1.92, 6.61], [1.41, 1.54, 3.6, -6.92, 1.93, 18.53]], \"ry\": [3.07, 3.1]}\n```"
            }
        ]
    },
    {
        "id": 180,
        "data_source": "Mono3DRefer",
        "scene_name": "004034",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[490.47, 184.76, 552.0, 227.9]], \"boxes_3d\": [[1.46, 1.75, 4.23, -3.31, 1.94, 27.3]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 181,
        "data_source": "Mono3DRefer",
        "scene_name": "004043",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.46], \"boxes_2d\": [[434.96, 183.48, 491.75, 240.68], [446.17, 184.9, 488.04, 215.15]], \"boxes_3d\": [[1.68, 1.63, 3.9, -4.76, 2.05, 23.63], [1.47, 1.7, 4.39, -7.63, 2.12, 38.11]], \"ry\": [1.42, 1.27]}\n```"
            }
        ]
    },
    {
        "id": 182,
        "data_source": "Mono3DRefer",
        "scene_name": "004060",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [-0.6], \"boxes_2d\": [[753.33, 190.34, 1207.55, 344.89]], \"boxes_3d\": [[1.45, 1.68, 4.53, 4.08, 1.69, 8.33]], \"ry\": [-0.16]}\n```"
            }
        ]
    },
    {
        "id": 183,
        "data_source": "Mono3DRefer",
        "scene_name": "004080",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[770.49, 172.76, 822.76, 218.36]], \"boxes_3d\": [[1.56, 1.65, 3.69, 6.78, 1.58, 26.62]], \"ry\": [-1.37]}\n```"
            }
        ]
    },
    {
        "id": 184,
        "data_source": "Mono3DRefer",
        "scene_name": "004160",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.9, -1.79, -2.89, 1.4, 1.59], \"boxes_2d\": [[739.31, 179.35, 1006.22, 357.08], [682.77, 180.48, 808.7, 272.05], [402.27, 177.63, 475.77, 210.56], [666.86, 168.21, 702.05, 195.27], [562.64, 176.5, 584.89, 197.74]], \"boxes_3d\": [[1.6, 1.53, 4.18, 2.73, 1.69, 8.66], [1.56, 1.57, 3.98, 2.51, 1.73, 14.48], [1.61, 1.57, 3.35, -8.72, 1.88, 36.83], [1.79, 1.72, 4.35, 5.12, 1.51, 50.31], [1.45, 1.49, 4.07, -2.59, 1.73, 51.75]], \"ry\": [-1.61, -1.62, -3.12, 1.51, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 185,
        "data_source": "Mono3DRefer",
        "scene_name": "004183",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[480.23, 195.42, 548.26, 247.84]], \"boxes_3d\": [[1.42, 1.66, 4.11, -3.0, 2.19, 23.04]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 186,
        "data_source": "Mono3DRefer",
        "scene_name": "004258",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[423.25, 188.9, 466.98, 230.21]], \"boxes_3d\": [[1.65, 1.75, 3.39, -7.23, 2.38, 31.55]], \"ry\": [1.35]}\n```"
            }
        ]
    },
    {
        "id": 187,
        "data_source": "Mono3DRefer",
        "scene_name": "004272",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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\": [-0.59, -0.47, 1.43, -0.4], \"boxes_2d\": [[698.55, 185.81, 1021.06, 319.05], [589.5, 163.98, 888.45, 290.14], [446.21, 185.06, 496.14, 218.49], [585.76, 186.44, 801.44, 266.6]], \"boxes_3d\": [[1.41, 1.62, 3.6, 3.08, 1.61, 9.21], [1.77, 1.96, 4.39, 2.01, 1.66, 11.82], [1.37, 1.6, 4.5, -6.39, 1.94, 32.67], [1.4, 1.51, 3.98, 1.6, 1.7, 14.37]], \"ry\": [-0.28, -0.31, 1.24, -0.29]}\n```"
            }
        ]
    },
    {
        "id": 188,
        "data_source": "Mono3DRefer",
        "scene_name": "004296",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 2.12], \"boxes_2d\": [[570.39, 177.69, 620.62, 226.32], [0.0, 202.41, 327.38, 374.0]], \"boxes_3d\": [[1.61, 1.66, 3.2, -0.55, 1.8, 25.75], [1.46, 1.66, 4.05, -3.96, 1.77, 5.92]], \"ry\": [-1.59, 1.55]}\n```"
            }
        ]
    },
    {
        "id": 189,
        "data_source": "Mono3DRefer",
        "scene_name": "004376",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.54, 2.34, -2.24, -1.75, -1.71, -1.68, -1.61], \"boxes_2d\": [[664.57, 178.43, 690.24, 201.85], [0.0, 199.5, 297.3, 374.0], [939.78, 65.8, 1241.0, 374.0], [736.06, 169.26, 824.07, 249.29], [763.66, 182.97, 884.37, 278.9], [717.72, 176.72, 769.97, 222.88], [711.84, 181.56, 742.54, 208.31]], \"boxes_3d\": [[1.54, 1.63, 3.67, 4.67, 1.94, 49.84], [1.53, 1.67, 3.78, -2.99, 1.69, 2.9], [2.05, 1.5, 3.83, 3.02, 1.67, 3.23], [1.88, 1.57, 3.71, 4.32, 1.83, 18.96], [1.5, 1.56, 3.69, 3.75, 1.7, 13.34], [1.7, 1.62, 3.76, 5.22, 1.87, 28.69], [1.4, 1.53, 3.56, 6.46, 1.9, 40.16]], \"ry\": [-1.44, 1.59, -1.54, -1.53, -1.44, -1.5, -1.45]}\n```"
            }
        ]
    },
    {
        "id": 190,
        "data_source": "Mono3DRefer",
        "scene_name": "004425",
        "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\": [[565.33, 157.41, 594.97, 182.13]], \"boxes_3d\": [[1.49, 1.68, 4.08, -1.3, 0.02, 45.81]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 191,
        "data_source": "Mono3DRefer",
        "scene_name": "004444",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-1.98, -1.81, -2.88, 1.4, 1.59], \"boxes_2d\": [[770.57, 182.29, 1170.67, 374.0], [695.18, 182.16, 845.61, 290.2], [393.7, 178.52, 471.46, 213.25], [670.89, 168.19, 707.72, 196.36], [563.7, 178.0, 586.51, 200.11]], \"boxes_3d\": [[1.6, 1.53, 4.18, 2.76, 1.7, 6.75], [1.56, 1.57, 3.98, 2.56, 1.74, 12.63], [1.61, 1.57, 3.35, -8.59, 1.91, 34.95], [1.79, 1.72, 4.35, 5.25, 1.52, 48.43], [1.45, 1.49, 4.07, -2.4, 1.82, 49.79]], \"ry\": [-1.6, -1.61, -3.12, 1.51, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 192,
        "data_source": "Mono3DRefer",
        "scene_name": "004575",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\", \"Car\"], \"angle\": [-1.1, -1.01], \"boxes_2d\": [[105.7, 199.36, 201.5, 238.65], [33.03, 198.18, 140.42, 240.21]], \"boxes_3d\": [[1.42, 1.7, 4.14, -19.2, 2.6, 30.52], [1.52, 1.71, 4.11, -21.86, 2.65, 30.3]], \"ry\": [-1.66, -1.63]}\n```"
            }
        ]
    },
    {
        "id": 193,
        "data_source": "Mono3DRefer",
        "scene_name": "004760",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.54], \"boxes_2d\": [[318.9, 171.86, 464.74, 288.42], [433.55, 182.46, 484.78, 226.21]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.63, 1.7, 12.52], [1.47, 1.7, 4.39, -5.72, 1.83, 26.84]], \"ry\": [1.49, 1.33]}\n```"
            }
        ]
    },
    {
        "id": 194,
        "data_source": "Mono3DRefer",
        "scene_name": "004823",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, -2.08, 1.77, -1.81], \"boxes_2d\": [[685.73, 175.8, 714.09, 199.84], [834.93, 181.39, 1241.0, 374.0], [477.95, 182.27, 574.62, 250.53], [777.42, 139.72, 968.06, 321.21]], \"boxes_3d\": [[1.54, 1.63, 3.67, 6.06, 1.76, 48.57], [1.58, 1.67, 3.84, 3.1, 1.66, 5.38], [1.53, 1.67, 3.78, -2.04, 1.78, 18.26], [2.05, 1.5, 3.83, 3.39, 1.71, 10.13]], \"ry\": [-1.38, -1.58, 1.66, -1.5]}\n```"
            }
        ]
    },
    {
        "id": 195,
        "data_source": "Mono3DRefer",
        "scene_name": "004873",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[712.09, 185.45, 879.29, 292.9]], \"boxes_3d\": [[1.41, 1.58, 4.36, 2.78, 1.64, 11.96]], \"ry\": [-1.58]}\n```"
            }
        ]
    },
    {
        "id": 196,
        "data_source": "Mono3DRefer",
        "scene_name": "004886",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[491.83, 181.76, 569.36, 232.09]], \"boxes_3d\": [[1.44, 1.68, 4.39, -2.47, 1.74, 23.14]], \"ry\": [1.65]}\n```"
            }
        ]
    },
    {
        "id": 197,
        "data_source": "Mono3DRefer",
        "scene_name": "004890",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[575.94, 174.75, 617.13, 211.51]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.59, 1.52, 30.32]], \"ry\": [1.56]}\n```"
            }
        ]
    },
    {
        "id": 198,
        "data_source": "Mono3DRefer",
        "scene_name": "005036",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [1.69, 1.74, -0.95], \"boxes_2d\": [[430.5, 182.6, 536.18, 264.85], [512.4, 171.14, 581.72, 221.59], [629.27, 173.17, 679.67, 202.38]], \"boxes_3d\": [[1.46, 1.63, 4.47, -2.58, 1.69, 15.37], [1.7, 1.82, 4.45, -2.26, 1.67, 26.7], [1.57, 1.56, 2.62, 2.48, 1.6, 40.34]], \"ry\": [1.53, 1.65, -0.89]}\n```"
            }
        ]
    },
    {
        "id": 199,
        "data_source": "Mono3DRefer",
        "scene_name": "005048",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [2.17, -0.44, -1.63], \"boxes_2d\": [[263.48, 186.52, 473.27, 274.26], [1223.73, 163.63, 1241.0, 202.89], [805.07, 172.46, 879.03, 235.74]], \"boxes_3d\": [[1.42, 1.67, 4.53, -4.63, 1.73, 14.51], [1.54, 1.63, 3.74, 26.64, 1.16, 28.18], [1.56, 1.65, 3.69, 6.21, 1.57, 19.75]], \"ry\": [1.87, 0.32, -1.33]}\n```"
            }
        ]
    },
    {
        "id": 200,
        "data_source": "Mono3DRefer",
        "scene_name": "005144",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -1.75, -1.73], \"boxes_2d\": [[520.17, 178.79, 555.81, 213.98], [700.79, 184.53, 806.65, 263.98], [676.66, 179.43, 756.56, 239.12]], \"boxes_3d\": [[1.52, 1.5, 3.85, -3.32, 1.8, 33.38], [1.51, 1.56, 3.81, 3.0, 1.79, 15.95], [1.57, 1.68, 3.83, 2.99, 1.78, 21.17]], \"ry\": [1.5, -1.57, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 201,
        "data_source": "Mono3DRefer",
        "scene_name": "005309",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[591.63, 172.71, 623.07, 203.78]], \"boxes_3d\": [[1.65, 1.67, 3.64, -0.14, 1.67, 40.51]], \"ry\": [-1.55]}\n```"
            }
        ]
    },
    {
        "id": 202,
        "data_source": "Mono3DRefer",
        "scene_name": "005345",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 1.93, -1.76, 1.43, 2.73], \"boxes_2d\": [[748.14, 194.28, 1077.63, 374.0], [145.69, 196.52, 425.53, 366.97], [692.97, 186.37, 817.83, 273.58], [669.59, 180.35, 755.48, 243.0], [700.35, 171.72, 805.98, 210.76]], \"boxes_3d\": [[1.42, 1.59, 4.19, 2.64, 1.69, 7.53], [1.42, 1.64, 3.63, -3.41, 1.74, 8.25], [1.38, 1.58, 3.66, 2.54, 1.66, 13.61], [1.42, 1.6, 3.78, 2.47, 1.62, 18.42], [1.57, 1.65, 4.1, 6.08, 1.55, 30.92]], \"ry\": [1.55, 1.55, -1.58, 1.56, 2.93]}\n```"
            }
        ]
    },
    {
        "id": 203,
        "data_source": "Mono3DRefer",
        "scene_name": "005346",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.64], \"boxes_2d\": [[323.32, 185.03, 499.81, 307.44], [542.45, 181.48, 577.43, 208.56]], \"boxes_3d\": [[1.6, 1.68, 3.94, -3.0, 1.81, 11.61], [1.42, 1.66, 4.11, -2.79, 1.92, 40.54]], \"ry\": [1.59, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 204,
        "data_source": "Mono3DRefer",
        "scene_name": "005397",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"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\": [[346.51, 184.1, 464.99, 218.44]], \"boxes_3d\": [[1.36, 1.68, 4.49, -8.59, 1.86, 30.41]], \"ry\": [0.07]}\n```"
            }
        ]
    },
    {
        "id": 205,
        "data_source": "Mono3DRefer",
        "scene_name": "005444",
        "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\": [-1.6, -1.59], \"boxes_2d\": [[716.43, 170.65, 759.72, 209.19], [701.02, 175.78, 724.03, 195.77]], \"boxes_3d\": [[1.6, 1.76, 3.84, 5.71, 0.99, 31.98], [1.39, 1.56, 3.45, 7.54, 0.72, 52.04]], \"ry\": [-1.42, -1.45]}\n```"
            }
        ]
    },
    {
        "id": 206,
        "data_source": "Mono3DRefer",
        "scene_name": "005528",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 2.12, 1.85], \"boxes_2d\": [[600.65, 174.79, 628.08, 201.73], [83.56, 199.55, 254.53, 271.12], [407.53, 186.04, 455.28, 213.06]], \"boxes_3d\": [[1.65, 1.67, 3.64, 0.22, 1.8, 46.47], [1.32, 1.6, 3.63, -9.75, 1.98, 16.23], [1.33, 1.46, 3.87, -9.54, 2.06, 38.68]], \"ry\": [-1.59, 1.58, 1.61]}\n```"
            }
        ]
    },
    {
        "id": 207,
        "data_source": "Mono3DRefer",
        "scene_name": "005577",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [-3.02, -1.49, 1.68], \"boxes_2d\": [[288.91, 173.66, 421.48, 224.01], [478.3, 182.25, 517.89, 218.36], [488.51, 180.44, 526.53, 210.16]], \"boxes_3d\": [[1.77, 1.73, 4.53, -9.55, 1.83, 27.27], [1.57, 1.55, 3.32, -5.19, 2.02, 33.52], [1.56, 1.68, 3.91, -5.68, 1.99, 40.19]], \"ry\": [2.93, -1.65, 1.54]}\n```"
            }
        ]
    },
    {
        "id": 208,
        "data_source": "Mono3DRefer",
        "scene_name": "005672",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.79, -1.27], \"boxes_2d\": [[11.25, 183.09, 419.37, 374.0], [411.66, 160.09, 527.36, 239.65], [646.39, 161.48, 691.89, 194.02]], \"boxes_3d\": [[1.46, 1.63, 4.47, -3.05, 1.57, 6.65], [1.7, 1.82, 4.45, -3.33, 1.45, 17.76], [1.57, 1.56, 2.62, 2.99, 1.04, 36.45]], \"ry\": [1.49, 1.61, -1.19]}\n```"
            }
        ]
    },
    {
        "id": 209,
        "data_source": "Mono3DRefer",
        "scene_name": "005677",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, -2.04, -1.83, 1.65], \"boxes_2d\": [[0.0, 202.76, 405.34, 374.0], [809.69, 177.53, 1241.0, 374.0], [733.25, 194.21, 928.23, 327.91], [518.57, 181.98, 569.39, 224.02]], \"boxes_3d\": [[1.46, 1.6, 3.33, -2.65, 1.72, 4.76], [1.64, 1.7, 3.54, 2.65, 1.68, 4.85], [1.37, 1.51, 3.39, 2.64, 1.69, 9.51], [1.55, 1.68, 4.42, -2.64, 1.93, 29.27]], \"ry\": [1.55, -1.57, -1.57, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 210,
        "data_source": "Mono3DRefer",
        "scene_name": "005741",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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\": [-1.98, 1.73, -1.56, -1.67], \"boxes_2d\": [[758.74, 171.72, 1083.69, 371.34], [391.59, 195.67, 512.77, 293.08], [515.35, 185.06, 555.71, 224.89], [636.74, 176.51, 686.07, 223.35]], \"boxes_3d\": [[1.72, 1.67, 4.42, 3.16, 1.74, 8.54], [1.44, 1.56, 3.84, -2.8, 1.91, 13.32], [1.5, 1.55, 4.21, -3.11, 2.03, 30.11], [1.82, 1.65, 3.67, 2.05, 1.99, 30.12]], \"ry\": [-1.64, 1.52, -1.66, -1.61]}\n```"
            }
        ]
    },
    {
        "id": 211,
        "data_source": "Mono3DRefer",
        "scene_name": "005756",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[610.64, 175.32, 641.39, 196.16]], \"boxes_3d\": [[1.44, 1.68, 4.39, 1.19, 1.64, 52.43]], \"ry\": [1.72]}\n```"
            }
        ]
    },
    {
        "id": 212,
        "data_source": "Mono3DRefer",
        "scene_name": "005767",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[793.15, 180.84, 825.73, 209.76]], \"boxes_3d\": [[1.43, 1.55, 3.91, 10.44, 1.86, 38.02]], \"ry\": [-1.32]}\n```"
            }
        ]
    },
    {
        "id": 213,
        "data_source": "Mono3DRefer",
        "scene_name": "005793",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [2.01, 1.82, -1.62], \"boxes_2d\": [[53.01, 224.61, 381.44, 374.0], [330.26, 181.69, 473.38, 283.18], [614.42, 176.53, 656.13, 214.75]], \"boxes_3d\": [[1.27, 1.54, 3.58, -3.77, 1.93, 7.58], [1.63, 1.65, 3.91, -3.82, 1.81, 13.74], [1.46, 1.53, 3.17, 0.95, 1.63, 29.45]], \"ry\": [1.56, 1.55, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 214,
        "data_source": "Mono3DRefer",
        "scene_name": "005794",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [-1.76, -1.28, -1.58], \"boxes_2d\": [[689.79, 176.05, 822.8, 270.98], [203.73, 186.15, 455.62, 348.28], [644.18, 179.61, 685.83, 214.54]], \"boxes_3d\": [[1.49, 1.56, 4.34, 2.52, 1.57, 13.63], [1.42, 1.53, 4.12, -3.04, 1.61, 8.64], [1.38, 1.64, 3.51, 2.26, 1.67, 30.47]], \"ry\": [-1.58, -1.61, -1.51]}\n```"
            }
        ]
    },
    {
        "id": 215,
        "data_source": "Mono3DRefer",
        "scene_name": "005802",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -0.74, -0.67], \"boxes_2d\": [[631.14, 178.37, 676.2, 218.01], [574.03, 170.1, 620.21, 206.84], [645.36, 170.51, 679.59, 202.47], [971.36, 151.1, 1090.23, 191.53], [926.55, 153.32, 1028.08, 191.19]], \"boxes_3d\": [[1.37, 1.56, 3.54, 1.6, 1.59, 26.99], [1.61, 1.69, 4.26, -0.57, 1.52, 34.04], [1.53, 1.63, 4.5, 2.69, 1.45, 37.14], [1.48, 1.6, 3.84, 16.05, 0.68, 27.63], [1.55, 1.61, 3.64, 15.64, 0.75, 30.83]], \"ry\": [-1.51, -1.47, -1.49, -0.21, -0.21]}\n```"
            }
        ]
    },
    {
        "id": 216,
        "data_source": "Mono3DRefer",
        "scene_name": "005875",
        "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\": [1.77], \"boxes_2d\": [[470.47, 175.29, 527.4, 209.79]], \"boxes_3d\": [[1.42, 1.78, 3.62, -4.47, 1.17, 31.75]], \"ry\": [1.63]}\n```"
            }
        ]
    },
    {
        "id": 217,
        "data_source": "Mono3DRefer",
        "scene_name": "005889",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, 1.71, 1.54, 1.7], \"boxes_2d\": [[825.14, 172.9, 937.58, 284.1], [657.52, 178.62, 707.1, 213.07], [804.04, 176.09, 835.85, 206.06], [706.05, 178.34, 739.05, 200.77]], \"boxes_3d\": [[1.66, 1.56, 3.42, 4.56, 1.68, 12.61], [1.45, 1.64, 4.21, 3.3, 1.72, 32.64], [1.62, 1.58, 3.89, 11.87, 1.81, 41.02], [1.45, 1.67, 4.43, 7.69, 1.83, 49.16]], \"ry\": [-1.29, 1.81, 1.82, 1.85]}\n```"
            }
        ]
    },
    {
        "id": 218,
        "data_source": "Mono3DRefer",
        "scene_name": "005890",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [0.6, -0.76, -0.57, -2.77, -3.03, -0.34, -0.41], \"boxes_2d\": [[0.0, 198.63, 400.32, 333.83], [982.15, 171.24, 1241.0, 374.0], [838.98, 148.44, 1241.0, 342.79], [320.03, 181.75, 500.06, 240.79], [393.18, 180.36, 529.92, 224.1], [793.96, 168.65, 985.13, 251.75], [808.13, 168.59, 1095.68, 266.97]], \"boxes_3d\": [[1.38, 1.66, 4.38, -5.0, 1.73, 8.64], [1.48, 1.86, 4.18, 4.68, 1.46, 4.14], [1.74, 1.66, 4.37, 4.78, 1.53, 7.44], [1.47, 1.67, 4.28, -5.27, 1.73, 19.13], [1.38, 1.67, 4.37, -4.98, 1.65, 24.47], [1.54, 1.58, 3.2, 5.45, 1.49, 14.44], [1.51, 1.72, 4.03, 5.57, 1.47, 12.22]], \"ry\": [0.09, 0.06, -0.02, -3.04, 3.05, 0.01, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 219,
        "data_source": "Mono3DRefer",
        "scene_name": "005895",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[489.62, 180.04, 560.35, 215.68]], \"boxes_3d\": [[1.37, 1.78, 4.65, -3.51, 1.69, 30.43]], \"ry\": [1.72]}\n```"
            }
        ]
    },
    {
        "id": 220,
        "data_source": "Mono3DRefer",
        "scene_name": "005951",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[499.38, 184.13, 556.94, 226.74]], \"boxes_3d\": [[1.42, 1.66, 4.11, -2.99, 1.86, 26.77]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 221,
        "data_source": "Mono3DRefer",
        "scene_name": "005996",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [2.39, -0.53, 2.74, 0.49, -2.72, -2.86, -3.04], \"boxes_2d\": [[1098.87, 213.82, 1241.0, 374.0], [985.57, 177.76, 1241.0, 334.86], [790.76, 167.67, 1019.61, 253.08], [63.48, 135.07, 354.91, 275.99], [178.96, 179.73, 368.76, 252.76], [312.45, 177.97, 469.92, 229.3], [381.5, 167.74, 506.8, 218.95]], \"boxes_3d\": [[1.34, 1.52, 3.99, 6.42, 1.69, 5.76], [1.63, 1.53, 3.45, 6.41, 1.69, 8.28], [1.76, 1.71, 4.4, 6.44, 1.68, 16.14], [2.22, 1.68, 4.08, -6.78, 1.64, 12.42], [1.4, 1.46, 3.23, -6.89, 1.56, 14.9], [1.46, 1.61, 4.31, -6.62, 1.64, 21.99], [1.8, 1.77, 4.41, -6.16, 1.65, 27.05]], \"ry\": [-3.08, 0.11, 3.12, -0.0, 3.13, 3.14, 3.02]}\n```"
            }
        ]
    },
    {
        "id": 222,
        "data_source": "Mono3DRefer",
        "scene_name": "006016",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 1.82, -1.71, 1.73, -1.68, 1.7, -2.41], \"boxes_2d\": [[388.85, 187.64, 529.68, 273.48], [461.82, 173.54, 568.58, 251.13], [726.15, 179.91, 788.23, 222.09], [544.58, 175.61, 603.34, 223.9], [713.5, 172.02, 766.47, 213.79], [569.32, 175.96, 611.75, 214.98], [0.0, 180.52, 79.86, 302.92]], \"boxes_3d\": [[1.44, 1.64, 3.78, -2.89, 1.77, 14.43], [1.77, 1.71, 4.28, -2.35, 1.82, 18.71], [1.45, 1.71, 3.93, 5.39, 1.72, 27.01], [1.73, 1.65, 3.96, -1.35, 1.85, 27.96], [1.78, 1.89, 4.37, 5.86, 1.77, 33.17], [1.68, 1.51, 3.29, -0.87, 1.83, 32.86], [1.5, 1.63, 4.14, -9.63, 1.62, 9.35]], \"ry\": [1.69, 1.69, -1.51, 1.68, -1.51, 1.67, 3.09]}\n```"
            }
        ]
    },
    {
        "id": 223,
        "data_source": "Mono3DRefer",
        "scene_name": "006019",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.65], \"boxes_2d\": [[429.96, 179.92, 513.19, 243.78], [529.17, 180.26, 559.49, 205.28]], \"boxes_3d\": [[1.65, 1.56, 3.98, -3.91, 1.86, 20.76], [1.45, 1.53, 3.98, -4.02, 1.92, 44.38]], \"ry\": [1.59, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 224,
        "data_source": "Mono3DRefer",
        "scene_name": "006025",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 1.72, 1.9, 1.85, 2.22], \"boxes_2d\": [[708.34, 188.54, 881.63, 305.68], [487.22, 186.35, 534.47, 217.72], [294.15, 196.3, 435.53, 282.07], [378.86, 191.99, 477.99, 253.02], [0.0, 220.97, 261.61, 374.0]], \"boxes_3d\": [[1.41, 1.64, 3.77, 2.54, 1.68, 10.96], [1.43, 1.76, 3.97, -4.93, 2.14, 36.12], [1.49, 1.61, 3.94, -5.07, 2.04, 15.34], [1.48, 1.66, 3.9, -5.04, 2.06, 20.38], [1.31, 1.58, 4.23, -5.46, 1.93, 7.35]], \"ry\": [-1.57, 1.59, 1.59, 1.61, 1.6]}\n```"
            }
        ]
    },
    {
        "id": 225,
        "data_source": "Mono3DRefer",
        "scene_name": "006062",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[619.72, 178.54, 714.02, 263.92]], \"boxes_3d\": [[1.46, 1.53, 3.17, 0.96, 1.58, 14.07]], \"ry\": [-1.58]}\n```"
            }
        ]
    },
    {
        "id": 226,
        "data_source": "Mono3DRefer",
        "scene_name": "006072",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 2.2, 2.14], \"boxes_2d\": [[0.0, 183.86, 78.18, 239.95], [62.17, 171.1, 197.67, 228.53], [182.71, 180.48, 270.47, 219.65]], \"boxes_3d\": [[1.46, 1.4, 3.27, -16.8, 1.79, 20.12], [1.78, 1.6, 4.29, -16.24, 1.75, 24.64], [1.5, 1.47, 3.62, -15.75, 1.83, 29.77]], \"ry\": [1.58, 1.63, 1.65]}\n```"
            }
        ]
    },
    {
        "id": 227,
        "data_source": "Mono3DRefer",
        "scene_name": "006142",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[525.53, 180.74, 574.38, 224.33]], \"boxes_3d\": [[1.41, 1.59, 4.47, -2.15, 1.71, 25.96]], \"ry\": [1.51]}\n```"
            }
        ]
    },
    {
        "id": 228,
        "data_source": "Mono3DRefer",
        "scene_name": "006156",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [-0.18, 0.29, -0.3, -2.54, 0.44, -1.85, -0.34, 2.86, -2.88, -1.63, 0.14], \"boxes_2d\": [[684.41, 175.65, 763.49, 205.5], [409.61, 173.98, 518.35, 214.44], [727.04, 173.0, 826.69, 214.47], [0.0, 161.31, 165.84, 315.47], [22.46, 175.55, 384.96, 289.95], [731.6, 186.28, 965.43, 331.52], [842.74, 180.88, 1043.6, 258.72], [759.16, 178.74, 955.42, 240.36], [303.89, 171.19, 465.79, 228.51], [633.81, 175.41, 659.61, 194.47], [479.56, 170.21, 549.39, 195.94]], \"boxes_3d\": [[1.5, 1.62, 3.88, 5.95, 1.67, 38.09], [1.5, 1.49, 3.86, -5.66, 1.57, 28.01], [1.55, 1.58, 3.51, 6.52, 1.58, 28.51], [1.61, 1.46, 2.33, -6.76, 1.51, 8.27], [1.5, 1.66, 4.4, -5.83, 1.57, 10.68], [1.41, 1.62, 4.19, 2.71, 1.61, 9.36], [1.42, 1.59, 3.21, 6.39, 1.6, 14.2], [1.47, 1.77, 4.42, 6.18, 1.64, 18.52], [1.54, 1.66, 4.16, -6.45, 1.53, 20.84], [1.32, 1.63, 4.1, 2.62, 1.53, 52.61], [1.58, 1.56, 4.25, -6.11, 1.44, 46.26]], \"ry\": [-0.02, 0.09, -0.07, 3.08, -0.05, -1.57, 0.07, -3.11, 3.11, -1.58, 0.01]}\n```"
            }
        ]
    },
    {
        "id": 229,
        "data_source": "Mono3DRefer",
        "scene_name": "006206",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[527.47, 175.27, 558.1, 203.49]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.26, 1.88, 45.99]], \"ry\": [1.53]}\n```"
            }
        ]
    },
    {
        "id": 230,
        "data_source": "Mono3DRefer",
        "scene_name": "006209",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[531.01, 182.24, 565.63, 209.27]], \"boxes_3d\": [[1.52, 1.73, 4.28, -3.69, 2.1, 43.52]], \"ry\": [1.57]}\n```"
            }
        ]
    },
    {
        "id": 231,
        "data_source": "Mono3DRefer",
        "scene_name": "006234",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[387.16, 191.36, 506.47, 274.84]], \"boxes_3d\": [[1.45, 1.53, 3.98, -3.32, 1.88, 15.21]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 232,
        "data_source": "Mono3DRefer",
        "scene_name": "006314",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [2.37, 2.06, 1.91, 2.52, 2.58, 2.66, 2.75, 1.86, -1.78, -1.7], \"boxes_2d\": [[0.0, 225.52, 134.43, 374.0], [63.97, 205.21, 311.58, 335.21], [271.24, 196.16, 409.06, 271.43], [1000.82, 135.93, 1241.0, 241.17], [961.34, 137.05, 1148.13, 227.09], [889.38, 145.73, 1070.36, 221.29], [829.45, 154.51, 987.62, 214.99], [389.49, 188.9, 474.76, 237.88], [692.86, 175.82, 789.9, 241.68], [676.1, 173.6, 741.07, 226.18]], \"boxes_3d\": [[1.42, 1.55, 3.85, -5.93, 1.97, 5.75], [1.43, 1.48, 3.71, -5.92, 1.97, 10.58], [1.4, 1.65, 4.02, -6.01, 1.99, 16.45], [1.64, 1.59, 3.99, 9.03, 1.07, 12.23], [1.72, 1.68, 2.78, 9.01, 1.05, 14.85], [1.67, 1.67, 3.43, 8.66, 1.09, 17.16], [1.57, 1.62, 3.69, 8.15, 1.11, 19.98], [1.43, 1.61, 4.13, -5.84, 1.99, 24.01], [1.47, 1.6, 3.87, 3.16, 1.57, 18.26], [1.57, 1.57, 4.04, 3.13, 1.62, 23.81]], \"ry\": [1.6, 1.56, 1.57, -3.14, 3.12, 3.12, 3.13, 1.62, -1.61, -1.57]}\n```"
            }
        ]
    },
    {
        "id": 233,
        "data_source": "Mono3DRefer",
        "scene_name": "006327",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[321.2, 187.28, 501.22, 296.68]], \"boxes_3d\": [[1.44, 1.68, 4.39, -3.1, 1.71, 12.04]], \"ry\": [1.6]}\n```"
            }
        ]
    },
    {
        "id": 234,
        "data_source": "Mono3DRefer",
        "scene_name": "006352",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[225.42, 187.24, 405.49, 281.2]], \"boxes_3d\": [[1.51, 1.81, 4.07, -5.55, 1.82, 14.09]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 235,
        "data_source": "Mono3DRefer",
        "scene_name": "006359",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[586.32, 178.28, 608.96, 198.48]], \"boxes_3d\": [[1.41, 1.59, 4.47, -0.95, 1.83, 53.34]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 236,
        "data_source": "Mono3DRefer",
        "scene_name": "006391",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -1.6, -2.21, -1.46, -1.9, -2.02], \"boxes_2d\": [[1017.51, 156.72, 1137.93, 225.21], [985.96, 153.04, 1044.02, 204.59], [64.72, 209.46, 382.83, 364.74], [770.17, 169.28, 876.08, 255.98], [1058.85, 154.32, 1241.0, 266.96], [0.0, 226.58, 166.93, 349.11]], \"boxes_3d\": [[1.5, 1.8, 4.5, 11.57, 1.17, 18.22], [1.83, 1.75, 4.52, 15.56, 1.15, 27.94], [1.47, 1.58, 3.55, -4.73, 1.95, 8.71], [1.6, 1.75, 3.89, 4.62, 1.55, 15.42], [1.59, 1.64, 4.03, 9.11, 1.35, 12.21], [1.37, 1.7, 4.38, -8.97, 2.28, 10.89]], \"ry\": [-1.16, -1.1, -2.7, -1.18, -1.27, -2.7]}\n```"
            }
        ]
    },
    {
        "id": 237,
        "data_source": "Mono3DRefer",
        "scene_name": "006429",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [1.92, -2.03, -1.8, -1.42, 1.73, -1.78, -1.69, 1.7, 1.66, 1.67], \"boxes_2d\": [[166.86, 181.05, 476.48, 374.0], [794.85, 188.67, 1241.0, 374.0], [692.66, 188.36, 861.73, 315.27], [386.58, 181.38, 506.39, 284.9], [440.21, 184.16, 529.65, 250.39], [666.69, 180.26, 760.67, 251.56], [643.57, 178.94, 710.66, 231.45], [515.92, 178.33, 560.04, 214.75], [538.31, 169.65, 576.49, 207.65], [556.27, 172.53, 591.03, 203.88]], \"boxes_3d\": [[1.63, 1.6, 3.73, -2.6, 1.72, 7.36], [1.59, 1.49, 3.34, 2.58, 1.74, 5.43], [1.54, 1.6, 3.52, 2.26, 1.8, 10.83], [1.54, 1.5, 3.48, -2.76, 1.7, 12.64], [1.44, 1.63, 3.32, -3.02, 1.74, 17.77], [1.55, 1.55, 3.27, 2.38, 1.74, 17.53], [1.48, 1.6, 3.79, 1.97, 1.69, 22.52], [1.56, 1.55, 3.64, -3.27, 1.82, 32.97], [1.91, 1.66, 4.22, -2.79, 1.77, 38.61], [1.83, 1.69, 4.28, -2.22, 1.84, 44.53]], \"ry\": [1.59, -1.61, -1.61, -1.63, 1.57, -1.65, -1.61, 1.6, 1.58, 1.62]}\n```"
            }
        ]
    },
    {
        "id": 238,
        "data_source": "Mono3DRefer",
        "scene_name": "006554",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[707.23, 168.35, 729.04, 185.77]], \"boxes_3d\": [[1.4, 1.55, 4.06, 9.08, 1.07, 60.87]], \"ry\": [-1.48]}\n```"
            }
        ]
    },
    {
        "id": 239,
        "data_source": "Mono3DRefer",
        "scene_name": "006584",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[363.31, 180.35, 475.8, 261.1]], \"boxes_3d\": [[1.7, 1.72, 4.11, -4.48, 1.89, 17.43]], \"ry\": [1.54]}\n```"
            }
        ]
    },
    {
        "id": 240,
        "data_source": "Mono3DRefer",
        "scene_name": "006607",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[460.12, 187.4, 519.59, 241.59]], \"boxes_3d\": [[1.41, 1.59, 4.47, -3.61, 1.88, 21.89]], \"ry\": [1.44]}\n```"
            }
        ]
    },
    {
        "id": 241,
        "data_source": "Mono3DRefer",
        "scene_name": "006617",
        "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\": [1.58, 1.61], \"boxes_2d\": [[526.65, 162.16, 567.82, 200.96], [547.1, 166.77, 579.72, 193.84]], \"boxes_3d\": [[1.5, 1.59, 3.6, -2.41, 0.78, 29.51], [1.36, 1.57, 4.06, -2.19, 0.66, 37.97]], \"ry\": [1.5, 1.56]}\n```"
            }
        ]
    },
    {
        "id": 242,
        "data_source": "Mono3DRefer",
        "scene_name": "006659",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [-1.98, 1.66, -1.68], \"boxes_2d\": [[799.24, 203.87, 1220.71, 374.0], [507.64, 179.42, 566.98, 228.03], [657.48, 178.46, 702.04, 216.04]], \"boxes_3d\": [[1.37, 1.51, 3.39, 2.67, 1.68, 5.79], [1.55, 1.68, 4.42, -2.51, 1.79, 25.48], [1.6, 1.53, 4.18, 3.1, 1.87, 33.06]], \"ry\": [-1.57, 1.56, -1.59]}\n```"
            }
        ]
    },
    {
        "id": 243,
        "data_source": "Mono3DRefer",
        "scene_name": "006691",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[448.97, 184.6, 539.26, 243.12]], \"boxes_3d\": [[1.48, 1.87, 4.42, -3.28, 1.84, 21.0]], \"ry\": [1.58]}\n```"
            }
        ]
    },
    {
        "id": 244,
        "data_source": "Mono3DRefer",
        "scene_name": "006733",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [2.77, 2.82, -1.37, 1.88, 2.9, 1.72, 2.12, -1.67, 1.87], \"boxes_2d\": [[805.7, 165.78, 996.06, 222.26], [786.12, 153.89, 940.81, 216.89], [431.2, 183.4, 486.79, 224.15], [336.89, 192.01, 431.93, 249.74], [745.32, 164.58, 862.58, 206.86], [478.07, 184.49, 516.12, 212.15], [0.0, 212.8, 339.5, 374.0], [654.1, 179.32, 709.89, 223.85], [292.86, 194.36, 454.13, 295.55]], \"boxes_3d\": [[1.47, 1.7, 4.65, 8.03, 1.32, 20.29], [1.91, 1.81, 4.33, 8.05, 1.35, 23.28], [1.63, 1.61, 3.81, -6.53, 2.11, 31.39], [1.43, 1.57, 3.48, -6.35, 2.01, 20.52], [1.63, 1.67, 4.32, 7.81, 1.33, 29.44], [1.53, 1.68, 3.86, -6.69, 2.24, 42.9], [1.41, 1.76, 4.4, -3.66, 1.81, 5.25], [1.55, 1.66, 4.15, 2.62, 1.8, 27.41], [1.41, 1.66, 3.35, -3.91, 1.82, 12.35]], \"ry\": [-3.14, -3.14, -1.57, 1.58, -3.13, 1.56, 1.54, -1.58, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 245,
        "data_source": "Mono3DRefer",
        "scene_name": "006735",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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\": [-1.24, 1.73, 1.63, -0.32], \"boxes_2d\": [[235.06, 186.69, 490.27, 358.89], [476.29, 189.64, 556.59, 253.18], [569.48, 189.33, 597.28, 211.86], [1145.02, 114.32, 1241.0, 276.27]], \"boxes_3d\": [[1.77, 1.75, 4.67, -3.06, 1.99, 9.96], [1.6, 1.68, 3.94, -2.64, 2.12, 20.84], [1.42, 1.66, 4.11, -1.82, 2.59, 49.75], [1.66, 1.15, 3.39, 7.66, 1.05, 7.39]], \"ry\": [-1.53, 1.6, 1.59, 0.47]}\n```"
            }
        ]
    },
    {
        "id": 246,
        "data_source": "Mono3DRefer",
        "scene_name": "006743",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, -1.94], \"boxes_2d\": [[561.94, 176.74, 613.3, 226.46], [841.41, 169.72, 884.2, 189.42]], \"boxes_3d\": [[1.61, 1.66, 3.2, -0.79, 1.76, 25.22], [1.36, 1.5, 4.21, 18.31, 1.17, 52.49]], \"ry\": [-1.58, -1.6]}\n```"
            }
        ]
    },
    {
        "id": 247,
        "data_source": "Mono3DRefer",
        "scene_name": "006774",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.66], \"boxes_2d\": [[478.67, 172.98, 545.2, 232.89], [543.26, 180.21, 570.52, 205.79]], \"boxes_3d\": [[1.97, 1.87, 4.53, -3.5, 2.01, 26.25], [1.7, 1.53, 3.82, -3.7, 2.23, 50.4]], \"ry\": [1.55, 1.59]}\n```"
            }
        ]
    },
    {
        "id": 248,
        "data_source": "Mono3DRefer",
        "scene_name": "006784",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[542.09, 187.74, 572.59, 219.04]], \"boxes_3d\": [[1.68, 1.63, 3.9, -3.14, 2.58, 42.06]], \"ry\": [1.46]}\n```"
            }
        ]
    },
    {
        "id": 249,
        "data_source": "Mono3DRefer",
        "scene_name": "006857",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 1.84, -1.59, 2.13, -1.58], \"boxes_2d\": [[482.43, 180.31, 526.02, 207.0], [505.26, 172.32, 544.18, 202.15], [658.12, 174.2, 682.29, 196.88], [0.0, 197.59, 261.67, 324.11], [618.39, 175.36, 641.62, 197.44]], \"boxes_3d\": [[1.56, 1.59, 3.69, -6.49, 2.03, 44.42], [1.93, 1.59, 4.01, -5.77, 1.93, 49.1], [1.58, 1.67, 3.84, 4.35, 1.71, 52.8], [1.48, 1.61, 3.61, -6.95, 1.9, 10.82], [1.54, 1.63, 3.67, 1.42, 1.75, 52.85]], \"ry\": [1.74, 1.73, -1.51, 1.57, -1.56]}\n```"
            }
        ]
    },
    {
        "id": 250,
        "data_source": "Mono3DRefer",
        "scene_name": "006890",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.69], \"boxes_2d\": [[549.05, 180.93, 575.09, 200.74], [499.64, 183.66, 551.68, 222.36]], \"boxes_3d\": [[1.44, 1.7, 3.65, -3.65, 2.07, 55.11], [1.52, 1.73, 4.28, -3.6, 2.01, 31.21]], \"ry\": [1.58, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 251,
        "data_source": "Mono3DRefer",
        "scene_name": "006905",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[413.64, 186.81, 509.45, 275.85], [465.77, 187.73, 533.46, 243.68]], \"boxes_3d\": [[1.65, 1.75, 3.39, -3.12, 1.97, 15.51], [1.57, 1.54, 4.01, -3.46, 2.07, 22.97]], \"ry\": [1.44, 1.57]}\n```"
            }
        ]
    },
    {
        "id": 252,
        "data_source": "Mono3DRefer",
        "scene_name": "007024",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[461.89, 180.0, 540.68, 237.0]], \"boxes_3d\": [[1.42, 1.66, 4.11, -2.98, 1.63, 20.28]], \"ry\": [1.55]}\n```"
            }
        ]
    },
    {
        "id": 253,
        "data_source": "Mono3DRefer",
        "scene_name": "007057",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [-1.17, -1.11, 2.14], \"boxes_2d\": [[217.07, 181.49, 285.97, 211.0], [158.6, 178.65, 234.05, 210.36], [35.65, 182.94, 150.33, 228.73]], \"boxes_3d\": [[1.42, 1.7, 4.14, -18.49, 1.88, 37.35], [1.52, 1.71, 4.11, -21.23, 1.84, 37.16], [1.42, 1.55, 3.45, -17.54, 1.78, 24.61]], \"ry\": [-1.63, -1.63, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 254,
        "data_source": "Mono3DRefer",
        "scene_name": "007069",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, 0.21, 0.34, 0.39, 0.44, 0.42], \"boxes_2d\": [[663.45, 181.42, 711.93, 217.65], [377.44, 177.36, 517.01, 221.73], [303.62, 180.4, 480.53, 236.61], [273.65, 181.58, 472.25, 248.95], [236.71, 182.54, 448.75, 258.48], [151.35, 180.49, 398.09, 275.34]], \"boxes_3d\": [[1.41, 1.65, 4.28, 3.21, 1.79, 30.78], [1.44, 1.8, 4.44, -5.61, 1.62, 25.08], [1.5, 1.8, 4.5, -6.19, 1.74, 20.66], [1.53, 1.8, 4.22, -5.72, 1.76, 17.58], [1.5, 1.46, 3.95, -5.61, 1.73, 15.23], [1.53, 1.64, 3.6, -5.85, 1.69, 12.78]], \"ry\": [-1.56, -0.0, 0.05, 0.08, 0.1, 0.0]}\n```"
            }
        ]
    },
    {
        "id": 255,
        "data_source": "Mono3DRefer",
        "scene_name": "007086",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [[559.56, 179.69, 582.35, 196.58]], \"boxes_3d\": [[1.44, 1.72, 4.14, -3.47, 2.07, 64.52]], \"ry\": [1.59]}\n```"
            }
        ]
    },
    {
        "id": 256,
        "data_source": "Mono3DRefer",
        "scene_name": "007131",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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\": [1.26, 1.79, -1.79, 1.75, 1.45, 1.65, 1.5, -1.61], \"boxes_2d\": [[765.46, 179.64, 1037.29, 365.87], [398.72, 186.23, 528.92, 271.26], [701.31, 187.08, 819.62, 269.69], [461.07, 180.34, 542.23, 239.56], [674.94, 183.2, 754.7, 241.44], [520.57, 180.41, 563.7, 218.25], [664.35, 180.78, 704.78, 211.68], [653.43, 178.07, 676.62, 198.91]], \"boxes_3d\": [[1.62, 1.58, 3.89, 2.92, 1.7, 8.25], [1.45, 1.67, 4.43, -2.88, 1.76, 14.95], [1.47, 1.59, 3.62, 2.96, 1.79, 15.08], [1.56, 1.68, 3.69, -3.1, 1.79, 21.02], [1.44, 1.64, 4.5, 2.82, 1.76, 20.55], [1.46, 1.51, 3.24, -2.78, 1.78, 29.75], [1.38, 1.59, 4.19, 3.49, 1.77, 34.68], [1.51, 1.56, 3.81, 4.12, 1.92, 54.65]], \"ry\": [1.59, 1.6, -1.61, 1.6, 1.58, 1.55, 1.6, -1.54]}\n```"
            }
        ]
    },
    {
        "id": 257,
        "data_source": "Mono3DRefer",
        "scene_name": "007149",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around 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, -1.71, -1.45, -1.73, -1.56], \"boxes_2d\": [[437.29, 189.0, 551.09, 263.75], [672.18, 171.3, 726.0, 211.18], [513.96, 180.97, 574.52, 227.36], [706.71, 174.34, 803.49, 250.27], [656.24, 174.02, 683.1, 196.56]], \"boxes_3d\": [[1.33, 1.71, 4.09, -2.38, 1.72, 15.55], [1.49, 1.56, 4.34, 3.52, 1.46, 29.43], [1.42, 1.53, 4.12, -2.19, 1.71, 24.51], [1.59, 1.59, 3.89, 3.3, 1.66, 17.24], [1.38, 1.64, 3.51, 3.82, 1.47, 46.3]], \"ry\": [-1.55, -1.59, -1.54, -1.55, -1.48]}\n```"
            }
        ]
    },
    {
        "id": 258,
        "data_source": "Mono3DRefer",
        "scene_name": "007282",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation around Y-axis (-π to π). 0 when object front faces away from camera.)}."
            },
            {
                "from": "gpt",
                "value": "```JSON\n{\"labels\": [\"Car\"], \"angle\": [1.45], \"boxes_2d\": [[767.9, 181.48, 975.64, 349.99]], \"boxes_3d\": [[1.57, 1.73, 4.15, 2.9, 1.69, 8.98]], \"ry\": [1.75]}\n```"
            }
        ]
    },
    {
        "id": 259,
        "data_source": "Mono3DRefer",
        "scene_name": "007298",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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, 1.83], \"boxes_2d\": [[431.98, 183.79, 504.36, 228.35], [569.7, 178.78, 601.21, 199.12]], \"boxes_3d\": [[1.48, 1.61, 3.61, -5.11, 1.89, 26.24], [1.56, 1.59, 3.69, -1.94, 2.04, 57.53]], \"ry\": [1.67, 1.8]}\n```"
            }
        ]
    },
    {
        "id": 260,
        "data_source": "Mono3DRefer",
        "scene_name": "007311",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (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\": [2.14, -1.31, 1.46], \"boxes_2d\": [[0.0, 156.2, 370.35, 374.0], [342.56, 190.41, 502.1, 291.62], [633.03, 183.76, 683.26, 223.94]], \"boxes_3d\": [[1.7, 1.63, 4.08, -3.01, 1.67, 4.4], [1.4, 1.67, 3.72, -3.05, 1.74, 12.33], [1.49, 1.61, 3.74, 1.85, 1.94, 29.17]], \"ry\": [1.57, -1.55, 1.53]}\n```"
            }
        ]
    },
    {
        "id": 261,
        "data_source": "Mono3DRefer",
        "scene_name": "007384",
        "question_type": "mobj_3dDetect_json",
        "conversations": [
            {
                "from": "human",
                "value": "Task: Detect Car objects, ignoring too small/distant ones.\nCamera: fx=fy=721.54, cx=609.56, cy=172.85. Output JSON: {\"labels\": [...] (object category), \"angle\": [...] (list of observation angle on image (-π to π). 0 faces image center.), \"boxes_2d\": [[x1,y1,x2,y2],...], \"boxes_3d\": [[height,width,length,x,y,z],...] (x: right, y: up, z: depth to camera), \"ry\": [...] (rotation 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, -1.91, 1.68, 1.53], \"boxes_2d\": [[609.97, 177.96, 646.71, 204.22], [861.04, 185.34, 1241.0, 374.0], [548.51, 179.62, 608.65, 225.09], [725.1, 178.39, 762.25, 213.82]], \"boxes_3d\": [[1.45, 1.67, 4.43, 1.11, 1.76, 42.43], [1.66, 1.56, 3.42, 3.05, 1.77, 5.53], [1.45, 1.64, 4.21, -1.06, 1.7, 25.33], [1.62, 1.58, 3.89, 6.41, 1.9, 35.06]], \"ry\": [1.71, -1.43, 1.64, 1.71]}\n```"
            }
        ]
    },
    {
        "id": 262,
        "data_source": "Mono3DRefer",
        "scene_name": "007399",
        "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\": [1.89], \"boxes_2d\": [[340.09, 181.95, 457.46, 245.91]], \"boxes_3d\": [[1.42, 1.78, 3.62, -4.99, 1.45, 18.11]], \"ry\": [1.62]}\n```"
            }
        ]
    }
]