diff --git a/mediapipe/python/pybind/image.cc b/mediapipe/python/pybind/image.cc
index e5fa24e8c..1bcca12ff 100644
--- a/mediapipe/python/pybind/image.cc
+++ b/mediapipe/python/pybind/image.cc
@@ -52,14 +52,15 @@ void ImageSubmodule(pybind11::module* module) {
   ```python
   import cv2
   cv_mat = cv2.imread(input_file)[:, :, ::-1]
-  rgb_frame = mp.Image(format=ImageFormat.SRGB, data=cv_mat)
+  rgb_frame = mp.Image(image_format=ImageFormat.SRGB, data=cv_mat)
   gray_frame = mp.Image(
-      format=ImageFormat.GRAY, data=cv2.cvtColor(cv_mat, cv2.COLOR_RGB2GRAY))
+      image_format=ImageFormat.GRAY,
+      data=cv2.cvtColor(cv_mat, cv2.COLOR_RGB2GRAY))
 
   from PIL import Image
   pil_img = Image.new('RGB', (60, 30), color = 'red')
   image = mp.Image(
-      format=mp.ImageFormat.SRGB, data=np.asarray(pil_img))
+      image_format=mp.ImageFormat.SRGB, data=np.asarray(pil_img))
   ```
 
   The pixel data in an Image can be retrieved as a numpy ndarray by calling
diff --git a/mediapipe/python/pybind/image_frame.cc b/mediapipe/python/pybind/image_frame.cc
index a7fc6bfe4..bc7a9753d 100644
--- a/mediapipe/python/pybind/image_frame.cc
+++ b/mediapipe/python/pybind/image_frame.cc
@@ -83,14 +83,15 @@ void ImageFrameSubmodule(pybind11::module* module) {
   Creation examples:
     import cv2
     cv_mat = cv2.imread(input_file)[:, :, ::-1]
-    rgb_frame = mp.ImageFrame(format=ImageFormat.SRGB, data=cv_mat)
+    rgb_frame = mp.ImageFrame(image_format=ImageFormat.SRGB, data=cv_mat)
     gray_frame = mp.ImageFrame(
-        format=ImageFormat.GRAY, data=cv2.cvtColor(cv_mat, cv2.COLOR_RGB2GRAY))
+        image_format=ImageFormat.GRAY,
+        data=cv2.cvtColor(cv_mat, cv2.COLOR_RGB2GRAY))
 
     from PIL import Image
     pil_img = Image.new('RGB', (60, 30), color = 'red')
     image_frame = mp.ImageFrame(
-        format=mp.ImageFormat.SRGB, data=np.asarray(pil_img))
+        image_format=mp.ImageFormat.SRGB, data=np.asarray(pil_img))
 
   The pixel data in an ImageFrame can be retrieved as a numpy ndarray by calling
   `ImageFrame.numpy_view()`. The returned numpy ndarray is a reference to the