code: def test_images(self):
      rng = np.random.default_rng()
      img = rng.integers(256, size=(28, 28, 1), dtype=np.uint8)
  
      self.assertFeature(
          feature=features_lib.LabeledImage(
              labels=["background", "car", "truck"],
              shape=(28, 28, 1),
          ),
          shape=(28, 28, 1),
          dtype=tf.uint8,
          tests=[
              # Numpy array
              testing.FeatureExpectationItem(
                  value=img,
                  expected=img,
              ),
          ],
          test_attributes=dict(
              num_classes=3,
              names=["background", "car", "truck"],
              _use_colormap=True,
          ),
      )
  
imports: import numpy
  import tensorflow
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import features
label_desc: Use image node_id 1 for calling the LabeledImageFeatureTest obj's underlying member method code with example usage: obj.test_images() without return types