diff --git a/efficientnet_image_embedding.py b/efficientnet_image_embedding.py
index d45bd86..ecd47dd 100644
--- a/efficientnet_image_embedding.py
+++ b/efficientnet_image_embedding.py
@@ -18,11 +18,12 @@ import torch
 from torchvision import transforms
 import sys
 from pathlib import Path
+import numpy
 
 from towhee.operator import Operator
 
 
-class EfficientnetEmbeddingOperator(Operator):
+class EfficientnetImageEmbeddingOperator(Operator):
     """
     Embedding extractor using efficientnet.
     Args:
@@ -41,8 +42,9 @@ class EfficientnetEmbeddingOperator(Operator):
         self.tfms = transforms.Compose([transforms.Resize(224), transforms.ToTensor(),
                                         transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]), ])
 
-    def __call__(self, img_path: str) -> NamedTuple('Outputs', [('embedding', torch.Tensor)]):
+    def __call__(self, img_path: str) -> NamedTuple('Outputs', [('feature_vector', numpy.ndarray)]):
         Outputs = NamedTuple('Outputs', [('embedding', torch.Tensor)])
         img = self.tfms(Image.open(img_path)).unsqueeze(0)
         features = self.model._model.extract_features(img)
+        Outputs = NamedTuple('Outputs', [('feature_vector', numpy.ndarray)])
         return Outputs(features.flatten().detach().numpy())