code: def test_object_detection_estimator():
      from gluoncv.auto.tasks import ObjectDetection
  
      task = ObjectDetection(
          {"num_trials": 1, "epochs": 1, "batch_size": 4}
      )
      detector = task.fit(OBJECT_DETECTION_TRAIN)
      assert task.fit_summary().get("valid_map", 0) > 0
      test_result = detector.predict(OBJECT_DETECTION_TEST)
  
file_path: gluon-cv/tests/auto/test_auto_tasks.py
imports: from gluoncv.auto.tasks import ImageClassification
  from gluoncv.auto.tasks import ObjectDetection
  import autogluon.core
  import time
  from nose.tools import nottest
  import unittest
label_desc: Use image node_id 3 for calling a global function with example usage: test_object_detection_estimator() without return types