code: def _get_object_annotation():
      """Returns a annotation for a random object."""
      objects = kitti._OBJECT_LABELS  # pylint: disable=protected-access
      obj_type = list(np.random.choice(objects, size=1))
      truncated = _list_f2s(np.random.rand(1))
      occluded = _list_d2s(np.random.choice(range(4), size=1))
      alpha = _list_f2s(
          np.random.uniform(low=-np.pi, high=np.pi, size=1)
      )
      lr = np.random.uniform(low=0, high=WIDTH, size=2)
      tb = np.random.uniform(low=0, high=HEIGHT, size=2)
      # Left, top, right, bottom. Origin is the top-left pixel.
      bbox = _list_f2s(
          [min(lr), HEIGHT - max(tb), max(lr), HEIGHT - min(tb)]
      )
      # Height, width, length.
      dimensions = _list_f2s(np.random.uniform(low=0, high=5, size=3))
      location = _list_f2s(np.random.uniform(low=0, high=30, size=3))
      rotation = _list_f2s(
          np.random.uniform(low=-np.pi, high=np.pi, size=1)
      )
      return " ".join(
          obj_type
          + truncated
          + occluded
          + alpha
          + bbox
          + dimensions
          + location
          + rotation
      )
  
imports: import os
  import tempfile
  import zipfile
  from absl import app
  from absl import flags
  import numpy
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.object_detection import kitti
  from tensorflow_datasets.testing import fake_data_utils
label_desc: Use image node_id 4 for calling a global function with example usage: _get_object_annotation() and returns: str