How to prepare VOTT JSON dataset to retrain COCO SSD Tensorflow api?

Hi I have annotated multi object dataset and exported as tensorflow format in VoTT. however I have no clue how to use it with tensorflow api.

Vott produces json file for each annotated images as follows:

"asset": {
    "format": "jpg",
    "id": "0b1e1aac9a6f2cc4e51d95ef368dbfe7",
    "name": "lemon160.jpg",
    "path": "file:/Volumes/Solix/Datasets/limedata/imgs_raw/lemon160.jpg",
    "size": {
        "width": 1280,
        "height": 720
    },
    "state": 2,
    "type": 1
},
"regions": [
    {
        "id": "HWaHAokRV",
        "type": "RECTANGLE",
        "tags": [
            "Expired Lime"
        ],
        "boundingBox": {
            "height": 362.8564453125,
            "width": 510.81555834378923,
            "left": 625.7465495608532,
            "top": 355.5866350446429
        },
        "points": [
            {
                "x": 625.7465495608532,
                "y": 355.5866350446429
            },
            {
                "x": 1136.5621079046425,
                "y": 355.5866350446429
            },
            {
                "x": 1136.5621079046425,
                "y": 718.4430803571429
            },
            {
                "x": 625.7465495608532,
                "y": 718.4430803571429
            }
        ]
    }

}

can somebody suggest me a way to convert these files to tfrecords?