code: def test_get_images(self):
      fridge_dataset = load_fridge_object_detection_dataset().iloc[:2]
      images = get_images(fridge_dataset, "RGB", None)
      assert len(images) == 2
      assert images[0].shape == (666, 499, 3)
      assert images[1].shape == (666, 499, 3)
  
file_path: responsible-ai-toolbox/rai_test_utils/tests/test_data_utils.py
imports: import pytest
  from rai_test_utils.datasets.tabular import create_adult_census_data, create_binary_classification_dataset, create_cancer_data, create_complex_titanic_data, create_diabetes_data, create_energy_data, create_housing_data, create_iris_data, create_msx_data, create_multiclass_classification_dataset, create_reviews_data, create_simple_titanic_data, create_timeseries_data, create_wine_data
  from rai_test_utils.datasets.vision import get_images, load_fridge_object_detection_dataset
label_desc: Use image node_id 16 for calling the TestDataUtils obj's underlying member method code with example usage: obj.test_get_images() without return types