diff --git a/src/transformers/models/beit/image_processing_beit.py b/src/transformers/models/beit/image_processing_beit.py
index 0e81cb9c446..10a6bfad22b 100644
--- a/src/transformers/models/beit/image_processing_beit.py
+++ b/src/transformers/models/beit/image_processing_beit.py
@@ -131,6 +131,15 @@ class BeitImageProcessor(BaseImageProcessor):
         self.image_std = image_std if image_std is not None else IMAGENET_STANDARD_STD
         self.do_reduce_labels = do_reduce_labels
 
+    @property
+    def reduce_labels(self) -> bool:
+        warnings.warn(
+            "The `reduce_labels` property is deprecated and will be removed in v4.27. Please use"
+            " `do_reduce_labels` instead.",
+            FutureWarning,
+        )
+        return self.do_reduce_labels
+
     @classmethod
     def from_dict(cls, image_processor_dict: Dict[str, Any], **kwargs):
         """
diff --git a/src/transformers/models/conditional_detr/image_processing_conditional_detr.py b/src/transformers/models/conditional_detr/image_processing_conditional_detr.py
index b5f4c639f7e..aed1ee65c23 100644
--- a/src/transformers/models/conditional_detr/image_processing_conditional_detr.py
+++ b/src/transformers/models/conditional_detr/image_processing_conditional_detr.py
@@ -815,6 +815,16 @@ class ConditionalDetrImageProcessor(BaseImageProcessor):
         self.image_std = image_std if image_std is not None else IMAGENET_DEFAULT_STD
         self.do_pad = do_pad
 
+    @property
+    # Copied from transformers.models.detr.image_processing_detr.DetrImageProcessor.max_size
+    def max_size(self):
+        warnings.warn(
+            "The `max_size` parameter is deprecated and will be removed in v4.27. "
+            "Please specify in `size['longest_edge'] instead`.",
+            FutureWarning,
+        )
+        return self.size["longest_edge"]
+
     @classmethod
     # Copied from transformers.models.detr.image_processing_detr.DetrImageProcessor.from_dict with Detr->ConditionalDetr
     def from_dict(cls, image_processor_dict: Dict[str, Any], **kwargs):
diff --git a/src/transformers/models/deformable_detr/image_processing_deformable_detr.py b/src/transformers/models/deformable_detr/image_processing_deformable_detr.py
index 499313dd529..12a32ac5939 100644
--- a/src/transformers/models/deformable_detr/image_processing_deformable_detr.py
+++ b/src/transformers/models/deformable_detr/image_processing_deformable_detr.py
@@ -813,6 +813,16 @@ class DeformableDetrImageProcessor(BaseImageProcessor):
         self.image_std = image_std if image_std is not None else IMAGENET_DEFAULT_STD
         self.do_pad = do_pad
 
+    @property
+    # Copied from transformers.models.detr.image_processing_detr.DetrImageProcessor.max_size
+    def max_size(self):
+        warnings.warn(
+            "The `max_size` parameter is deprecated and will be removed in v4.27. "
+            "Please specify in `size['longest_edge'] instead`.",
+            FutureWarning,
+        )
+        return self.size["longest_edge"]
+
     @classmethod
     # Copied from transformers.models.detr.image_processing_detr.DetrImageProcessor.from_dict with Detr->DeformableDetr
     def from_dict(cls, image_processor_dict: Dict[str, Any], **kwargs):
diff --git a/src/transformers/models/detr/image_processing_detr.py b/src/transformers/models/detr/image_processing_detr.py
index 957360a96ca..0e22eeb8932 100644
--- a/src/transformers/models/detr/image_processing_detr.py
+++ b/src/transformers/models/detr/image_processing_detr.py
@@ -797,6 +797,15 @@ class DetrImageProcessor(BaseImageProcessor):
         self.image_std = image_std if image_std is not None else IMAGENET_DEFAULT_STD
         self.do_pad = do_pad
 
+    @property
+    def max_size(self):
+        warnings.warn(
+            "The `max_size` parameter is deprecated and will be removed in v4.27. "
+            "Please specify in `size['longest_edge'] instead`.",
+            FutureWarning,
+        )
+        return self.size["longest_edge"]
+
     @classmethod
     def from_dict(cls, image_processor_dict: Dict[str, Any], **kwargs):
         """
diff --git a/src/transformers/models/segformer/image_processing_segformer.py b/src/transformers/models/segformer/image_processing_segformer.py
index 5e592cb042d..f8122e38c16 100644
--- a/src/transformers/models/segformer/image_processing_segformer.py
+++ b/src/transformers/models/segformer/image_processing_segformer.py
@@ -119,6 +119,15 @@ class SegformerImageProcessor(BaseImageProcessor):
         self.image_std = image_std if image_std is not None else IMAGENET_DEFAULT_STD
         self.do_reduce_labels = do_reduce_labels
 
+    @property
+    def reduce_labels(self):
+        warnings.warn(
+            "The `reduce_labels` property is deprecated and will be removed in a v4.27. Please use "
+            "`do_reduce_labels` instead.",
+            FutureWarning,
+        )
+        return self.do_reduce_labels
+
     @classmethod
     def from_dict(cls, image_processor_dict: Dict[str, Any], **kwargs):
         """
diff --git a/src/transformers/models/yolos/image_processing_yolos.py b/src/transformers/models/yolos/image_processing_yolos.py
index ff0cd23caa5..f21b38283dd 100644
--- a/src/transformers/models/yolos/image_processing_yolos.py
+++ b/src/transformers/models/yolos/image_processing_yolos.py
@@ -725,6 +725,16 @@ class YolosImageProcessor(BaseImageProcessor):
         self.image_std = image_std if image_std is not None else IMAGENET_DEFAULT_STD
         self.do_pad = do_pad
 
+    @property
+    # Copied from transformers.models.detr.image_processing_detr.DetrImageProcessor.max_size
+    def max_size(self):
+        warnings.warn(
+            "The `max_size` parameter is deprecated and will be removed in v4.27. "
+            "Please specify in `size['longest_edge'] instead`.",
+            FutureWarning,
+        )
+        return self.size["longest_edge"]
+
     @classmethod
     # Copied from transformers.models.detr.image_processing_detr.DetrImageProcessor.from_dict with Detr->Yolos
     def from_dict(cls, image_processor_dict: Dict[str, Any], **kwargs):
diff --git a/tests/models/beit/test_image_processing_beit.py b/tests/models/beit/test_image_processing_beit.py
index 95348bfe639..b9b809108f3 100644
--- a/tests/models/beit/test_image_processing_beit.py
+++ b/tests/models/beit/test_image_processing_beit.py
@@ -353,7 +353,7 @@ class BeitImageProcessingTest(ImageProcessingSavingTestMixin, unittest.TestCase)
         self.assertTrue(encoding["labels"].min().item() >= 0)
         self.assertTrue(encoding["labels"].max().item() <= 150)
 
-        image_processing.reduce_labels = True
+        image_processing.do_reduce_labels = True
         encoding = image_processing(image, map, return_tensors="pt")
         self.assertTrue(encoding["labels"].min().item() >= 0)
         self.assertTrue(encoding["labels"].max().item() <= 255)
diff --git a/tests/models/segformer/test_image_processing_segformer.py b/tests/models/segformer/test_image_processing_segformer.py
index a05b3349e80..2be0228d65a 100644
--- a/tests/models/segformer/test_image_processing_segformer.py
+++ b/tests/models/segformer/test_image_processing_segformer.py
@@ -339,7 +339,7 @@ class SegformerImageProcessingTest(ImageProcessingSavingTestMixin, unittest.Test
         self.assertTrue(encoding["labels"].min().item() >= 0)
         self.assertTrue(encoding["labels"].max().item() <= 150)
 
-        image_processing.reduce_labels = True
+        image_processing.do_reduce_labels = True
         encoding = image_processing(image, map, return_tensors="pt")
         self.assertTrue(encoding["labels"].min().item() >= 0)
         self.assertTrue(encoding["labels"].max().item() <= 255)