docs: def _convert_to_example(filename, image_buffer, label, synset, human, bbox,
                          height, width):
    """Build an Example proto for an example.
  
    Args:
      filename: string, path to an image file, e.g., '/path/to/example.JPG'
      image_buffer: string, JPEG encoding of RGB image
      label: integer, identifier for the ground truth for the network
      synset: string, unique WordNet ID specifying the label, e.g., 'n02323233'
      human: string, human-readable label, e.g., 'red fox, Vulpes vulpes'
      bbox: list of bounding boxes; each box is a list of integers
        specifying [xmin, ymin, xmax, ymax]. All boxes are assumed to belong to
        the same label as the image label.
      height: integer, image height in pixels
      width: integer, image width in pixels
    Returns:
      Example proto
    """
    xmin = []
    ymin = []
    xmax = []
    ymax = []
    for b in bbox:
      assert len(b) == 4
      # pylint: disable=expression-not-assigned
      [l.append(point) for l, point in zip([xmin, ymin, xmax, ymax], b)]
      # pylint: enable=expression-not-assigned
  
    colorspace = 'RGB'
    channels = 3
    image_format = 'JPEG'
  
    example = tf.train.Example(features=tf.train.Features(feature={
        'image/height': _int64_feature(height),
        'image/width': _int64_feature(width),
        'image/colorspace': _bytes_feature(colorspace),
        'image/channels': _int64_feature(channels),
        'image/class/label': _int64_feature(label),
        'image/class/synset': _bytes_feature(synset),
        'image/class/text': _bytes_feature(human),
        'image/object/bbox/xmin': _float_feature(xmin),
        'image/object/bbox/xmax': _float_feature(xmax),
        'image/object/bbox/ymin': _float_feature(ymin),
        'image/object/bbox/ymax': _float_feature(ymax),
        'image/object/bbox/label': _int64_feature([label] * len(xmin)),
        'image/format': _bytes_feature(image_format),
        'image/filename': _bytes_feature(os.path.basename(filename)),
        'image/encoded': _bytes_feature(image_buffer)}))
    return example