diff --git a/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1.py b/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1.py
index 533b3d777412..4cc51c7475ad 100644
--- a/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1.py
+++ b/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1.py
@@ -54,7 +54,7 @@ class MobileNetV1ImageProcessor(BaseImageProcessor):
             Size of the image after resizing. The shortest edge of the image is resized to size["shortest_edge"], with
             the longest edge resized to keep the input aspect ratio. Can be overridden by `size` in the `preprocess`
             method.
-        resample (`PILImageResampling`, *optional*, defaults to `PILImageResampling.BILINEAR`):
+        resample (`PILImageResampling`, *optional*, defaults to `PILImageResampling.BICUBIC`):
             Resampling filter to use if resizing the image. Can be overridden by the `resample` parameter in the
             `preprocess` method.
         do_center_crop (`bool`, *optional*, defaults to `True`):
@@ -87,7 +87,7 @@ def __init__(
         self,
         do_resize: bool = True,
         size: dict[str, int] | None = None,
-        resample: PILImageResampling = PILImageResampling.BILINEAR,
+        resample: PILImageResampling = PILImageResampling.BICUBIC,
         do_center_crop: bool = True,
         crop_size: dict[str, int] | None = None,
         do_rescale: bool = True,
@@ -194,7 +194,7 @@ def preprocess(
                 Size of the image after resizing. Shortest edge of the image is resized to size["shortest_edge"], with
                 the longest edge resized to keep the input aspect ratio.
             resample (`PILImageResampling` filter, *optional*, defaults to `self.resample`):
-                `PILImageResampling` filter to use if resizing the image e.g. `PILImageResampling.BILINEAR`. Only has
+                `PILImageResampling` filter to use if resizing the image e.g. `PILImageResampling.BICUBIC`. Only has
                 an effect if `do_resize` is set to `True`.
             do_center_crop (`bool`, *optional*, defaults to `self.do_center_crop`):
                 Whether to center crop the image.
diff --git a/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1_fast.py b/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1_fast.py
index d8ea15a8ea64..6b35666f31a5 100644
--- a/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1_fast.py
+++ b/src/transformers/models/mobilenet_v1/image_processing_mobilenet_v1_fast.py
@@ -22,7 +22,7 @@
 
 @auto_docstring
 class MobileNetV1ImageProcessorFast(BaseImageProcessorFast):
-    resample = PILImageResampling.BILINEAR
+    resample = PILImageResampling.BICUBIC
     image_mean = IMAGENET_STANDARD_MEAN
     image_std = IMAGENET_STANDARD_STD
     size = {"shortest_edge": 256}
diff --git a/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2.py b/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2.py
index 328bbf9616ef..7b45b7584299 100644
--- a/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2.py
+++ b/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2.py
@@ -72,7 +72,7 @@ class MobileNetV2ImageProcessor(BaseImageProcessor):
             Size of the image after resizing. The shortest edge of the image is resized to size["shortest_edge"], with
             the longest edge resized to keep the input aspect ratio. Can be overridden by `size` in the `preprocess`
             method.
-        resample (`PILImageResampling`, *optional*, defaults to `PILImageResampling.BILINEAR`):
+        resample (`PILImageResampling`, *optional*, defaults to `PILImageResampling.BICUBIC`):
             Resampling filter to use if resizing the image. Can be overridden by the `resample` parameter in the
             `preprocess` method.
         do_center_crop (`bool`, *optional*, defaults to `True`):
@@ -111,7 +111,7 @@ def __init__(
         self,
         do_resize: bool = True,
         size: dict[str, int] | None = None,
-        resample: PILImageResampling = PILImageResampling.BILINEAR,
+        resample: PILImageResampling = PILImageResampling.BICUBIC,
         do_center_crop: bool = True,
         crop_size: dict[str, int] | None = None,
         do_rescale: bool = True,
@@ -364,7 +364,7 @@ def preprocess(
                 Size of the image after resizing. Shortest edge of the image is resized to size["shortest_edge"], with
                 the longest edge resized to keep the input aspect ratio.
             resample (`PILImageResampling` filter, *optional*, defaults to `self.resample`):
-                `PILImageResampling` filter to use if resizing the image e.g. `PILImageResampling.BILINEAR`. Only has
+                `PILImageResampling` filter to use if resizing the image e.g. `PILImageResampling.BICUBIC`. Only has
                 an effect if `do_resize` is set to `True`.
             do_center_crop (`bool`, *optional*, defaults to `self.do_center_crop`):
                 Whether to center crop the image.
diff --git a/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2_fast.py b/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2_fast.py
index 9537947ca0f9..a4fffffcb9f6 100644
--- a/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2_fast.py
+++ b/src/transformers/models/mobilenet_v2/image_processing_mobilenet_v2_fast.py
@@ -43,7 +43,7 @@
 
 @auto_docstring
 class MobileNetV2ImageProcessorFast(BaseImageProcessorFast):
-    resample = PILImageResampling.BILINEAR
+    resample = PILImageResampling.BICUBIC
     image_mean = IMAGENET_STANDARD_MEAN
     image_std = IMAGENET_STANDARD_STD
     size = {"shortest_edge": 256}