code: def _convert_bbox(
      box: List[float], height: int, width: int
  ) -> tfds.features.BBox:
      """Converts bbox from coco x,y,w,h to xmin, ymin, xmax, ymax tfds format."""
      return tfds.features.BBox(
          xmin=box[0] / width,
          ymin=box[1] / height,
          xmax=(box[0] + box[2]) / width,
          ymax=(box[1] + box[3]) / height,
      )
  
imports: from __future__ import annotations
  import collections
  import json
  import os
  from typing import Any, Dict, List, Optional, Tuple, Union
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling a global function with example usage: _convert_bbox(box, height, width) and returns: tfds