code: def _get_dontcare_object_annotation():
      """Returns a annotation for a random object in class `DontCare`."""
      obj_type = ["DontCare"]
      truncated = _list_f2s([-1])
      occluded = _list_d2s([-1])
      alpha = _list_f2s([-10])
      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([-1] * 3)
      location = _list_f2s([-1000] * 3)
      rotation = _list_f2s([-10])
      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 5 for calling a global function with example usage: _get_dontcare_object_annotation() and returns: str