diff --git a/examples/pytorch/object-detection/run_object_detection.py b/examples/pytorch/object-detection/run_object_detection.py
index 8d722f4d5d..095b41a6a4 100644
--- a/examples/pytorch/object-detection/run_object_detection.py
+++ b/examples/pytorch/object-detection/run_object_detection.py
@@ -271,6 +271,10 @@ class DataTrainingArguments:
             )
         },
     )
+    use_fast: Optional[bool] = field(
+        default=True,
+        metadata={"help": "Use a fast torchvision-base image processor if it is supported for a given model."},
+    )
 
 
 @dataclass
@@ -427,6 +431,7 @@ def main():
         size={"max_height": data_args.image_square_size, "max_width": data_args.image_square_size},
         do_pad=True,
         pad_size={"height": data_args.image_square_size, "width": data_args.image_square_size},
+        use_fast=data_args.use_fast,
         **common_pretrained_args,
     )
 
diff --git a/examples/pytorch/object-detection/run_object_detection_no_trainer.py b/examples/pytorch/object-detection/run_object_detection_no_trainer.py
index dbfcb3fd97..b7ca051949 100644
--- a/examples/pytorch/object-detection/run_object_detection_no_trainer.py
+++ b/examples/pytorch/object-detection/run_object_detection_no_trainer.py
@@ -256,6 +256,12 @@ def parse_args():
         default=1333,
         help="Image longest size will be resized to this value, then image will be padded to square.",
     )
+    parser.add_argument(
+        "--use_fast",
+        type=bool,
+        default=True,
+        help="Use a fast torchvision-base image processor if it is supported for a given model.",
+    )
     parser.add_argument(
         "--cache_dir",
         type=str,
@@ -482,6 +488,7 @@ def main():
         size={"max_height": args.image_square_size, "max_width": args.image_square_size},
         do_pad=True,
         pad_size={"height": args.image_square_size, "width": args.image_square_size},
+        use_fast=args.use_fast,
         **common_pretrained_args,
     )