code: def test_rai_insights_object_detection(self, automl_format):
      data = load_fridge_object_detection_dataset(automl_format)
      model = retrieve_fridge_object_detection_model(
          load_fridge_weights=True
      )
      task_type = ModelTask.OBJECT_DETECTION
      test = data[:3]
      label = ImageColumns.LABEL
      serializer = ObjectDetectionPipelineSerializer()
  
      run_and_validate_serialization(
          model,
          test,
          task_type,
          FRIDGE_CLASS_NAMES,
          label,
          serializer,
          ignore_test_data=True,
      )
  
imports: import shutil
  from pathlib import Path
  from tempfile import TemporaryDirectory
  from unittest.mock import patch
  import numpy
  import PIL
  import pytest
  from common_vision_utils import DummyFlowersPipelineSerializer, ImageClassificationPipelineSerializer, ObjectDetectionPipelineSerializer, create_dummy_model, create_image_classification_pipeline, load_flowers_dataset, load_fridge_object_detection_dataset, load_imagenet_dataset, load_imagenet_labels, retrieve_fridge_object_detection_model
  from rai_vision_insights_validator import run_and_validate_serialization
  from responsibleai_vision import ModelTask, RAIVisionInsights
  from responsibleai_vision.common.constants import ImageColumns
label_desc: Use image node_id 4 for calling the TestRAIVisionInsightsSaveAndLoadScenarios obj's underlying member method code with example usage: obj.test_rai_insights_object_detection(automl_format) without return types