def METHOD_NAME(bboxes, bbox_nums, image_id, label_to_cat_id_map, bias=0):
    det_res = []
    k = 0
    for i in range(len(bbox_nums)):
        cur_image_id = int(image_id[i][0])
        det_nums = bbox_nums[i]
        for j in range(det_nums):
            dt = bboxes[k]
            k = k + 1
            num_id, score, x1, y1, x2, y2, x3, y3, x4, y4 = dt.tolist()
            if int(num_id) < 0:
                continue
            category_id = label_to_cat_id_map[int(num_id)]
            rbox = [x1, y1, x2, y2, x3, y3, x4, y4]
            dt_res = {
                'image_id': cur_image_id,
                'category_id': category_id,
                'bbox': rbox,
                'score': score
            }
            det_res.append(dt_res)
    return det_res