diff --git a/mediapipe/tasks/python/vision/__init__.py b/mediapipe/tasks/python/vision/__init__.py
index 4ff367f2b..17593357b 100644
--- a/mediapipe/tasks/python/vision/__init__.py
+++ b/mediapipe/tasks/python/vision/__init__.py
@@ -23,6 +23,7 @@ import mediapipe.tasks.python.vision.object_detector
 
 GestureRecognizer = gesture_recognizer.GestureRecognizer
 GestureRecognizerOptions = gesture_recognizer.GestureRecognizerOptions
+GestureRecognizerResult = gesture_recognizer.GestureRecognizerResult
 HandLandmarker = hand_landmarker.HandLandmarker
 HandLandmarkerOptions = hand_landmarker.HandLandmarkerOptions
 HandLandmarkerResult = hand_landmarker.HandLandmarkerResult
diff --git a/mediapipe/tasks/python/vision/gesture_recognizer.py b/mediapipe/tasks/python/vision/gesture_recognizer.py
index 2e61e36eb..d118a315a 100644
--- a/mediapipe/tasks/python/vision/gesture_recognizer.py
+++ b/mediapipe/tasks/python/vision/gesture_recognizer.py
@@ -59,7 +59,7 @@ _GESTURE_DEFAULT_INDEX = -1
 
 
 @dataclasses.dataclass
-class GestureRecognitionResult:
+class GestureRecognizerResult:
   """The gesture recognition result from GestureRecognizer, where each vector element represents a single hand detected in the image.
 
   Attributes:
@@ -79,8 +79,8 @@ class GestureRecognitionResult:
 
 def _build_recognition_result(
     output_packets: Mapping[str,
-                            packet_module.Packet]) -> GestureRecognitionResult:
-  """Consturcts a `GestureRecognitionResult` from output packets."""
+                            packet_module.Packet]) -> GestureRecognizerResult:
+  """Consturcts a `GestureRecognizerResult` from output packets."""
   gestures_proto_list = packet_getter.get_proto_list(
       output_packets[_HAND_GESTURE_STREAM_NAME])
   handedness_proto_list = packet_getter.get_proto_list(
@@ -138,9 +138,9 @@ def _build_recognition_result(
           landmark_module.Landmark.create_from_pb2(hand_world_landmark))
     hand_world_landmarks_results.append(hand_world_landmarks_list)
 
-  return GestureRecognitionResult(gesture_results, handedness_results,
-                                  hand_landmarks_results,
-                                  hand_world_landmarks_results)
+  return GestureRecognizerResult(gesture_results, handedness_results,
+                                 hand_landmarks_results,
+                                 hand_world_landmarks_results)
 
 
 @dataclasses.dataclass
@@ -185,7 +185,7 @@ class GestureRecognizerOptions:
   custom_gesture_classifier_options: Optional[
       _ClassifierOptions] = _ClassifierOptions()
   result_callback: Optional[Callable[
-      [GestureRecognitionResult, image_module.Image, int], None]] = None
+      [GestureRecognizerResult, image_module.Image, int], None]] = None
 
   @doc_controls.do_not_generate_docs
   def to_pb2(self) -> _GestureRecognizerGraphOptionsProto:
@@ -266,7 +266,7 @@ class GestureRecognizer(base_vision_task_api.BaseVisionTaskApi):
       if output_packets[_HAND_GESTURE_STREAM_NAME].is_empty():
         empty_packet = output_packets[_HAND_GESTURE_STREAM_NAME]
         options.result_callback(
-            GestureRecognitionResult([], [], [], []), image,
+            GestureRecognizerResult([], [], [], []), image,
             empty_packet.timestamp.value // _MICRO_SECONDS_PER_MILLISECOND)
         return
 
@@ -301,7 +301,7 @@ class GestureRecognizer(base_vision_task_api.BaseVisionTaskApi):
       self,
       image: image_module.Image,
       image_processing_options: Optional[_ImageProcessingOptions] = None
-  ) -> GestureRecognitionResult:
+  ) -> GestureRecognizerResult:
     """Performs hand gesture recognition on the given image.
 
     Only use this method when the GestureRecognizer is created with the image
@@ -332,7 +332,7 @@ class GestureRecognizer(base_vision_task_api.BaseVisionTaskApi):
     })
 
     if output_packets[_HAND_GESTURE_STREAM_NAME].is_empty():
-      return GestureRecognitionResult([], [], [], [])
+      return GestureRecognizerResult([], [], [], [])
 
     return _build_recognition_result(output_packets)
 
@@ -341,7 +341,7 @@ class GestureRecognizer(base_vision_task_api.BaseVisionTaskApi):
       image: image_module.Image,
       timestamp_ms: int,
       image_processing_options: Optional[_ImageProcessingOptions] = None
-  ) -> GestureRecognitionResult:
+  ) -> GestureRecognizerResult:
     """Performs gesture recognition on the provided video frame.
 
     Only use this method when the GestureRecognizer is created with the video
@@ -376,7 +376,7 @@ class GestureRecognizer(base_vision_task_api.BaseVisionTaskApi):
     })
 
     if output_packets[_HAND_GESTURE_STREAM_NAME].is_empty():
-      return GestureRecognitionResult([], [], [], [])
+      return GestureRecognizerResult([], [], [], [])
 
     return _build_recognition_result(output_packets)