diff --git a/mediapipe/tasks/python/test/vision/face_aligner_test.py b/mediapipe/tasks/python/test/vision/face_aligner_test.py
index 324bd0359..36af81813 100644
--- a/mediapipe/tasks/python/test/vision/face_aligner_test.py
+++ b/mediapipe/tasks/python/test/vision/face_aligner_test.py
@@ -113,8 +113,8 @@ class FaceAlignerTest(parameterized.TestCase):
     aligner = _FaceAligner.create_from_options(options)
 
     # Performs face alignment on the input.
-    alignd_image = aligner.align(self.test_image)
-    self.assertIsInstance(alignd_image, _Image)
+    aligned_image = aligner.align(self.test_image)
+    self.assertIsInstance(aligned_image, _Image)
     # Closes the aligner explicitly when the aligner is not used in
     # a context.
     aligner.close()
@@ -144,10 +144,10 @@ class FaceAlignerTest(parameterized.TestCase):
     options = _FaceAlignerOptions(base_options=base_options)
     with _FaceAligner.create_from_options(options) as aligner:
       # Performs face alignment on the input.
-      alignd_image = aligner.align(self.test_image)
-      self.assertIsInstance(alignd_image, _Image)
-      self.assertEqual(alignd_image.width, _MODEL_IMAGE_SIZE)
-      self.assertEqual(alignd_image.height, _MODEL_IMAGE_SIZE)
+      aligned_image = aligner.align(self.test_image)
+      self.assertIsInstance(aligned_image, _Image)
+      self.assertEqual(aligned_image.width, _MODEL_IMAGE_SIZE)
+      self.assertEqual(aligned_image.height, _MODEL_IMAGE_SIZE)
 
   def test_align_succeeds_with_region_of_interest(self):
     base_options = _BaseOptions(model_asset_path=self.model_path)
@@ -163,10 +163,10 @@ class FaceAlignerTest(parameterized.TestCase):
       roi = _Rect(left=0.32, top=0.02, right=0.67, bottom=0.32)
       image_processing_options = _ImageProcessingOptions(roi)
       # Performs face alignment on the input.
-      alignd_image = aligner.align(test_image, image_processing_options)
-      self.assertIsInstance(alignd_image, _Image)
-      self.assertEqual(alignd_image.width, _MODEL_IMAGE_SIZE)
-      self.assertEqual(alignd_image.height, _MODEL_IMAGE_SIZE)
+      aligned_image = aligner.align(test_image, image_processing_options)
+      self.assertIsInstance(aligned_image, _Image)
+      self.assertEqual(aligned_image.width, _MODEL_IMAGE_SIZE)
+      self.assertEqual(aligned_image.height, _MODEL_IMAGE_SIZE)
 
   def test_align_succeeds_with_no_face_detected(self):
     base_options = _BaseOptions(model_asset_path=self.model_path)
@@ -182,8 +182,8 @@ class FaceAlignerTest(parameterized.TestCase):
       roi = _Rect(left=0.1, top=0.1, right=0.2, bottom=0.2)
       image_processing_options = _ImageProcessingOptions(roi)
       # Performs face alignment on the input.
-      alignd_image = aligner.align(test_image, image_processing_options)
-      self.assertIsNone(alignd_image)
+      aligned_image = aligner.align(test_image, image_processing_options)
+      self.assertIsNone(aligned_image)
 
 
 if __name__ == '__main__':
diff --git a/mediapipe/tasks/web/vision/pose_landmarker/pose_landmarker.ts b/mediapipe/tasks/web/vision/pose_landmarker/pose_landmarker.ts
index 677d0bcb3..d38ccbf15 100644
--- a/mediapipe/tasks/web/vision/pose_landmarker/pose_landmarker.ts
+++ b/mediapipe/tasks/web/vision/pose_landmarker/pose_landmarker.ts
@@ -51,7 +51,7 @@ const POSE_LANDMARKER_GRAPH =
 
 const DEFAULT_NUM_POSES = 1;
 const DEFAULT_SCORE_THRESHOLD = 0.5;
-const DEFAULT_OUTPUT_SEGMANTATION_MASKS = false;
+const DEFAULT_OUTPUT_SEGMENTATION_MASKS = false;
 
 /**
  * A callback that receives the result from the pose detector. The returned
@@ -201,7 +201,7 @@ export class PoseLandmarker extends VisionTaskRunner {
 
     if ('outputSegmentationMasks' in options) {
       this.outputSegmentationMasks =
-          options.outputSegmentationMasks ?? DEFAULT_OUTPUT_SEGMANTATION_MASKS;
+          options.outputSegmentationMasks ?? DEFAULT_OUTPUT_SEGMENTATION_MASKS;
     }
 
     return this.applyOptions(options);