data = (PointsItemList.from_csv(path=path, folder='train', csv_name='tmp/bb.csv')
        .split_by_rand_pct()
        .label_from_df(cols='bbox', label_delim=' ')
        .transform(get_transforms(), resize_method=ResizeMethod.SQUISH, size=sz)
        .databunch(bs=5).normalize(imagenet_stats)
       )