diff --git a/PyTorch/Segmentation/MaskRCNN/pytorch/notebooks/README.md b/PyTorch/Segmentation/MaskRCNN/pytorch/notebooks/README.md
index 161b7f1b0..022554fb9 100644
--- a/PyTorch/Segmentation/MaskRCNN/pytorch/notebooks/README.md
+++ b/PyTorch/Segmentation/MaskRCNN/pytorch/notebooks/README.md
@@ -26,7 +26,7 @@ PATH_TO_COCO='/path/to/coco-2014'
 MOUNT_LOCATION='/datasets/data'
 NAME='nvidia_maskrcnn'
 
-docker run --it --runtime=nvidia -p 8888:8888 -v $PATH_TO_COCO:/$MOUNT_LOCATION --rm --name=$NAME --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 --ipc=host nvidia_joc_maskrcnn_pt
+docker run -it --runtime=nvidia -p 8888:8888 -v $PATH_TO_COCO:/$MOUNT_LOCATION --rm --name=$NAME --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 --ipc=host nvidia_joc_maskrcnn_pt
 ```
 where `/path/to/coco-2014` is the path on the host machine where the data was/is to be downloaded.
 
@@ -34,4 +34,4 @@ Within the docker interactive bash session, start Jupyter with
 
 `jupyter notebook --ip 0.0.0.0 --port 8888`
 
-Then open the Jupyter GUI interface on your host machine at http://localhost:8888. Within the container, this notebook itself is located at /workspace/object_detection/notebooks.
\ No newline at end of file
+Then open the Jupyter GUI interface on your host machine at http://localhost:8888. Within the container, this notebook itself is located at /workspace/object_detection/notebooks.