code: def test_object_detection_without_bias(coco_visiondata_train):
      result = PropertyLabelCorrelation().run(coco_visiondata_train)
      assert_that(
          result.value,
          has_entries(
              {
                  "Brightness": close_to(0, 0.005),
                  "Area": close_to(0.016557, 0.005),
              }
          ),
      )
  
file_path: deepchecks/tests/vision/checks/data_integrity/property_label_correlation_test.py
imports: import numpy
  from hamcrest import assert_that, close_to, contains_exactly, has_entries
  from deepchecks.vision.checks import PropertyLabelCorrelation
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 6 for calling a global function with example usage: test_object_detection_without_bias(coco_visiondata_train) without return types