diff --git a/examples/src/main/java/ai/djl/examples/inference/SemanticSegmentation.java b/examples/src/main/java/ai/djl/examples/inference/SemanticSegmentation.java
index b7ff0f11e8e..3f6633e6cc5 100644
--- a/examples/src/main/java/ai/djl/examples/inference/SemanticSegmentation.java
+++ b/examples/src/main/java/ai/djl/examples/inference/SemanticSegmentation.java
@@ -66,12 +66,12 @@ public static void predict() throws IOException, ModelException, TranslateExcept
         }
 
         // get image dimensions
-        final int height = img.getHeight();
-        final int width = img.getWidth();
+        int height = img.getHeight();
+        int width = img.getWidth();
 
         // rgb coloring means and standard deviations for improved detection performance
-        final float[] MEAN = {0.485f, 0.456f, 0.406f};
-        final float[] STD = {0.229f, 0.224f, 0.225f};
+        float[] mean = {0.485f, 0.456f, 0.406f};
+        float[] std = {0.229f, 0.224f, 0.225f};
 
         Criteria<Image, Image> criteria =
                 Criteria.builder()
@@ -82,7 +82,7 @@ public static void predict() throws IOException, ModelException, TranslateExcept
                                 SemanticSegmentationTranslator.builder()
                                         .addTransform(new Resize(width, height))
                                         .addTransform(new ToTensor())
-                                        .addTransform(new Normalize(MEAN, STD))
+                                        .addTransform(new Normalize(mean, std))
                                         .optSynsetUrl(
                                                 "https://mlrepo.djl.ai/model/cv/instance_segmentation/ai/djl/mxnet/mask_rcnn/classes.txt")
                                         .build())