def METHOD_NAME(self) -> None:
    image1 = {
        # ``coco_url`` for v1 only.
        'coco_url': 'http://images.cocodataset.org/train2017/0.jpg',
        # ``file_name`` for v0.5 only.
        'file_name': '0.jpg',
        'height': 1024,
        'width': 2048,
        'neg_category_ids': [],
        'not_exhaustive_category_ids': [],
        'id': 0
    }
    image2 = {
        'coco_url': 'http://images.cocodataset.org/train2017/1.jpg',
        'file_name': '1.jpg',
        'height': 1024,
        'width': 2048,
        'neg_category_ids': [],
        'not_exhaustive_category_ids': [],
        'id': 1
    }
    image3 = {
        'coco_url': 'http://images.cocodataset.org/train2017/2.jpg',
        'file_name': '2.jpg',
        'height': 1024,
        'width': 2048,
        'neg_category_ids': [],
        'not_exhaustive_category_ids': [],
        'id': 2
    }
    image4 = {
        'coco_url': 'http://images.cocodataset.org/train2017/3.jpg',
        'file_name': '3.jpg',
        'height': 31,
        'width': 15,
        'neg_category_ids': [],
        'not_exhaustive_category_ids': [],
        'id': 3
    }
    images = [image1, image2, image3, image4]
    categories = [{
        'id': 1,
        'name': 'aerosol_can',
        'frequency': 'c',
        'image_count': 64
    }, {
        'id': 2,
        'name': 'air_conditioner',
        'frequency': 'f',
        'image_count': 364
    }, {
        'id': 3,
        'name': 'airplane',
        'frequency': 'f',
        'image_count': 1911
    }]
    annotations = [
        {
            'category_id': 1,
            'bbox': [379.0, 435.0, 52.0, 124.0],
            'area': 2595,
            'segmentation': [[0.0, 0.0]],
            'image_id': 0,
            'id': 0
        },
        {
            'category_id': 2,
            'bbox': [379.0, 435.0, 52.0, 124.0],
            'area': -1,
            'segmentation': [[0.0, 0.0]],
            'image_id': 0,
            'id': 1
        },
        {
            'category_id': 3,
            'bbox': [379.0, 435.0, -1, 124.0],
            'area': 2,
            'segmentation': [[0.0, 0.0]],
            'image_id': 0,
            'id': 2
        },
        {
            'category_id': 1,
            'bbox': [379.0, 435.0, 52.0, -1],
            'area': 2,
            'segmentation': [[0.0, 0.0]],
            'image_id': 0,
            'id': 3
        },
        {
            'category_id': 1,
            'bbox': [379.0, 435.0, 52.0, 124.0],
            'area': 2595,
            'segmentation': [[0.0, 0.0]],
            'image_id': 0,
            'id': 4
        },
        {
            'category_id': 3,
            'bbox': [379.0, 435.0, 52.0, 124.0],
            'area': 2595,
            'segmentation': [[0.0, 0.0]],
            'image_id': 1,
            'id': 5
        },
        {
            'category_id': 3,
            'bbox': [379.0, 435.0, 10, 2],
            'area': 2595,
            'segmentation': [[0.0, 0.0]],
            'image_id': 3,
            'id': 6
        },
    ]
    fake_json = {
        'images': images,
        'annotations': annotations,
        'categories': categories
    }
    self.json_name = 'lvis.json'
    dump(fake_json, self.json_name)
    self.metainfo = dict(
        classes=('aerosol_can', 'air_conditioner', 'airplane'))