diff --git a/lite/examples/object_detection/raspberry_pi/requirements.txt b/lite/examples/object_detection/raspberry_pi/requirements.txt
index a0e89164bbf..8d7e632bbf8 100644
--- a/lite/examples/object_detection/raspberry_pi/requirements.txt
+++ b/lite/examples/object_detection/raspberry_pi/requirements.txt
@@ -1,5 +1,5 @@
 argparse
 numpy>=1.20.0  # To ensure compatibility with OpenCV on Raspberry Pi.
 opencv-python~=4.5.3.56
-tflite-support>=0.4.2
+tflite-support==0.4.0
 protobuf>=3.18.0,<4
diff --git a/lite/examples/object_detection/raspberry_pi/utils.py b/lite/examples/object_detection/raspberry_pi/utils.py
index 00e2dedb60d..4a24f71efb6 100644
--- a/lite/examples/object_detection/raspberry_pi/utils.py
+++ b/lite/examples/object_detection/raspberry_pi/utils.py
@@ -45,8 +45,8 @@ def visualize(
     cv2.rectangle(image, start_point, end_point, _TEXT_COLOR, 3)
 
     # Draw label and score
-    category = detection.categories[0]
-    category_name = category.category_name
+    category = detection.classes[0]
+    category_name = category.class_name
     probability = round(category.score, 2)
     result_text = category_name + ' (' + str(probability) + ')'
     text_location = (_MARGIN + bbox.origin_x,