code: def _get_annotations():
      """Generates annotations for a random number of objects in the image."""
      annotation = []
      for _ in range(np.random.choice(range(1, 10))):
          annotation.append(_get_object_annotation())
  
      # Add some DontCare objects.
      for _ in range(np.random.choice(range(1, 3))):
          annotation.append(_get_dontcare_object_annotation())
  
      return annotation
  
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 6 for calling a global function with example usage: _get_annotations() and returns: annotation