diff --git a/modelscope/pipelines/cv/facial_expression_recognition_pipeline.py b/modelscope/pipelines/cv/facial_expression_recognition_pipeline.py
index b598a457..3c85ae62 100644
--- a/modelscope/pipelines/cv/facial_expression_recognition_pipeline.py
+++ b/modelscope/pipelines/cv/facial_expression_recognition_pipeline.py
@@ -122,11 +122,7 @@ class FacialExpressionRecognitionPipeline(Pipeline):
         result = self.fer(input)
         assert result is not None
         scores = result[0].tolist()
-        labels = result[1].tolist()
-        return {
-            OutputKeys.SCORES: scores,
-            OutputKeys.LABELS: self.map_list[labels]
-        }
+        return {OutputKeys.SCORES: scores, OutputKeys.LABELS: self.map_list}
 
     def postprocess(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
         return inputs
diff --git a/modelscope/utils/cv/image_utils.py b/modelscope/utils/cv/image_utils.py
index ad0d6c8e..eab74688 100644
--- a/modelscope/utils/cv/image_utils.py
+++ b/modelscope/utils/cv/image_utils.py
@@ -113,7 +113,9 @@ def draw_face_detection_no_lm_result(img_path, detection_result):
 
 
 def draw_facial_expression_result(img_path, facial_expression_result):
-    label = facial_expression_result[OutputKeys.LABELS]
+    scores = facial_expression_result[OutputKeys.SCORES]
+    labels = facial_expression_result[OutputKeys.LABELS]
+    label = labels[np.argmax(scores)]
     img = cv2.imread(img_path)
     assert img is not None, f"Can't read img: {img_path}"
     cv2.putText(