diff --git a/python/examples/imagenet/image_classification_service.py b/python/examples/imagenet/image_classification_service.py
index 159a590a79692a1f65fa65b42e69ca098d0e52b8..ee3ae6dd1c64bda154bbadabe8d1e91da734fb5a 100644
--- a/python/examples/imagenet/image_classification_service.py
+++ b/python/examples/imagenet/image_classification_service.py
@@ -31,14 +31,14 @@ class ImageService(WebService):
                 sample = base64.b64decode(image)
                 img = reader.process_image(sample)
                 res_feed = {}
-                res_feed["image"] = img.reshape(-1)
+                res_feed["image"] = img
                 feed_batch.append(res_feed)
             return feed_batch, fetch
         else:
             sample = base64.b64decode(feed["image"])
             img = reader.process_image(sample)
             res_feed = {}
-            res_feed["image"] = img.reshape(-1)
+            res_feed["image"] = img
             return res_feed, fetch
 
 
diff --git a/python/examples/imagenet/image_classification_service_gpu.py b/python/examples/imagenet/image_classification_service_gpu.py
index 4f620bfd84f666376bf763aac5500cd2411008f7..d8ba4ed8cda9f600fb6d33441b90accdf5ecc532 100644
--- a/python/examples/imagenet/image_classification_service_gpu.py
+++ b/python/examples/imagenet/image_classification_service_gpu.py
@@ -32,14 +32,14 @@ class ImageService(WebService):
                 sample = base64.b64decode(image)
                 img = reader.process_image(sample)
                 res_feed = {}
-                res_feed["image"] = img.reshape(-1)
+                res_feed["image"] = img
                 feed_batch.append(res_feed)
             return feed_batch, fetch
         else:
             sample = base64.b64decode(feed["image"])
             img = reader.process_image(sample)
             res_feed = {}
-            res_feed["image"] = img.reshape(-1)
+            res_feed["image"] = img
             return res_feed, fetch
 
 
diff --git a/python/examples/imagenet/image_http_client.py b/python/examples/imagenet/image_http_client.py
index cda0f33ac82d0bd228a22a8f438cbe1aa013eadf..d920eccb06cc9ad4a87237792a1e688fd76b0d6e 100644
--- a/python/examples/imagenet/image_http_client.py
+++ b/python/examples/imagenet/image_http_client.py
@@ -31,7 +31,7 @@ def predict(image_path, server):
     r = requests.post(
         server, data=req, headers={"Content-Type": "application/json"})
     try:
-        print(r.json()["score"][0])
+        print(r.json()["result"]["score"])
     except ValueError:
         print(r.text)
     return r
diff --git a/python/examples/imagenet/image_rpc_client.py b/python/examples/imagenet/image_rpc_client.py
index 76f3a043474bf75e1e96a44f18ac7dfe3da11f78..f905179629f0dfc8c9da09b0cae90bae7be3687e 100644
--- a/python/examples/imagenet/image_rpc_client.py
+++ b/python/examples/imagenet/image_rpc_client.py
@@ -26,7 +26,7 @@ start = time.time()
 for i in range(1000):
     with open("./data/n01440764_10026.JPEG", "rb") as f:
         img = f.read()
-    img = reader.process_image(img).reshape(-1)
+    img = reader.process_image(img)
     fetch_map = client.predict(feed={"image": img}, fetch=["score"])
 end = time.time()
 print(end - start)