code: def _load_objects(csv_paths, csv_positions, prefix):
    
    logging.info('Loading CSVs %s from positions %s with prefix %s',
                 csv_paths, csv_positions, prefix)
    objects = collections.defaultdict(list)
    for i, labels_path in enumerate(csv_paths):
      with tf.io.gfile.GFile(labels_path) as csv_f:
        if csv_positions[i] > 0:
          csv_f.seek(csv_positions[i])
        else:
          csv_f.readline()  # Drop headers
        reader = csv.reader(csv_f)
        for image_id, source, label, confidence in reader:
          if prefix and image_id[0] != prefix:
            break
          csv_positions[i] = csv_f.tell()
          image_id = int(image_id, 16)
          current_obj = _Object(label, int(float(confidence) * 10), source)
          objects[image_id].append(current_obj)
    return dict(objects)
docs: Returns objects listed within given CSV files.