diff --git a/mediapipe/tasks/python/test/vision/object_detector_test.py b/mediapipe/tasks/python/test/vision/object_detector_test.py
index 58b549c12..b1198a952 100644
--- a/mediapipe/tasks/python/test/vision/object_detector_test.py
+++ b/mediapipe/tasks/python/test/vision/object_detector_test.py
@@ -138,7 +138,7 @@ class ObjectDetectorTest(parameterized.TestCase):
         os.path.join(_TEST_DATA_DIR, _MODEL_FILE)
     )
 
-  def _assert_approximately_equals_bounding_box(self, bbox, expected_bbox):
+  def _expect_bounding_box_correct(self, bbox, expected_bbox):
     self.assertEqual(bbox.width, expected_bbox.width)
     self.assertEqual(bbox.height, expected_bbox.height)
     self.assertAlmostEqual(
@@ -148,21 +148,21 @@ class ObjectDetectorTest(parameterized.TestCase):
         bbox.origin_y, expected_bbox.origin_y, _PIXEL_DIFF_TOLERANCE
     )
 
-  def _assert_approximately_equals_category(self, category, expected_category):
+  def _expect_category_correct(self, category, expected_category):
     self.assertEqual(category.category_name, expected_category.category_name)
     self.assertAlmostEqual(
         category.score, expected_category.score, _SCORE_DIFF_TOLERANCE
     )
 
-  def _assert_approximately_equals_detection_result(self, result, expected_result):
+  def _expect_detection_result_correct(self, result, expected_result):
     self.assertLen(result.detections, len(expected_result.detections))
     for i, detection in enumerate(result.detections):
       bbox = detection.bounding_box
       category = detection.categories[0]
       expected_bbox = expected_result.detections[i].bounding_box
       expected_category = expected_result.detections[i].categories[0]
-      self._assert_approximately_equals_bounding_box(bbox, expected_bbox)
-      self._assert_approximately_equals_category(category, expected_category)
+      self._expect_bounding_box_correct(bbox, expected_bbox)
+      self._expect_category_correct(category, expected_category)
 
   def test_create_from_file_succeeds_with_valid_model_path(self):
     # Creates with default option and valid model file successfully.
@@ -220,7 +220,7 @@ class ObjectDetectorTest(parameterized.TestCase):
     # Performs object detection on the input.
     detection_result = detector.detect(self.test_image)
     # Comparing results.
-    self._assert_approximately_equals_detection_result(
+    self._expect_detection_result_correct(
         detection_result, expected_detection_result
     )
     # Closes the detector explicitly when the detector is not used in
@@ -435,7 +435,7 @@ class ObjectDetectorTest(parameterized.TestCase):
     with _ObjectDetector.create_from_options(options) as detector:
       for timestamp in range(0, 300, 30):
         detection_result = detector.detect_for_video(self.test_image, timestamp)
-        self._assert_approximately_equals_detection_result(
+        self._expect_detection_result_correct(
             detection_result, _EXPECTED_DETECTION_RESULT
         )
 
@@ -487,7 +487,7 @@ class ObjectDetectorTest(parameterized.TestCase):
         result: _DetectionResult, output_image: _Image, timestamp_ms: int
     ):
       if result.detections:
-        self._assert_approximately_equals_detection_result(
+        self._expect_detection_result_correct(
             result, expected_result
         )
       else: