def METHOD_NAME(coco_visiondata_train):
    # Act
    result = LabelPropertyOutliers().run(coco_visiondata_train, with_display=False)
    # Assert
    assert_that(result,
                is_correct_label_property_outliers_result(DEFAULT_OBJECT_DETECTION_LABEL_PROPERTIES, with_display=False))
    assert_that(result.value, has_entries({
        'Number of Bounding Boxes Per Image': has_entries({
            'outliers_identifiers': contains_exactly('21', '30', '1', '5', '11', '20'),
            'lower_limit': is_(0),
            'upper_limit': is_(20.125)
        }),
        'Bounding Box Area (in pixels)': instance_of(dict),
    }))