diff --git a/evaluation/README.md b/evaluation/README.md
index a85612e..a83ad42 100644
--- a/evaluation/README.md
+++ b/evaluation/README.md
@@ -10,7 +10,7 @@ Evaluation with Local Model
 To evaluate using local model, you are highly recommended to have a GPU device and train the model on it. Otherwise, the evaluation will be extremely slow and might even damage the CPUs on some machine. 
 
 To evaluate, run `python3 eval_local.py -d IMAGE_DIR`. Where `IMAGE_DIR` is the image directory send to Fawkes protection code, and it must contain both original images (testing) and cloaked image (training). 
-All images in the directory must belong to the same person and have at least 10 images in them. Also, you cannot turn on `--seperate-target` during the protection. (We are working on reducing some of these limitations.)
+All images in the directory must belong to the same person and have at least 10 images in them. Also, you cannot turn on `--separate-target` during the protection. (We are working on reducing some of these limitations.)
 The script will output the protection success rate at the end.