diff --git a/README.md b/README.md
index b203d8e..456c6b4 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# Image Embedding Operator with Resnet50
+# Resnet50 Operator
 
 Authors: derekdqc, shiyu22
 
@@ -14,27 +14,28 @@ This Operator generates feature vectors from the pytorch pretrained **Resnet50**
 
 **Args:**
 
-- model_name (`str`):
-
-  The model name for embedding, for example 'resnet50'.
-
-- framework (`str`):
-
-  The framework of the model, the default is 'pytorch'.
+- model_name:
+  - the model name for embedding
+  - supported types: `str`, for example 'resnet50'
+- framework:
+  - the framework of the model
+  - supported types: `str`, default is 'pytorch'
 
 `__call__(self, img_tensor: torch.Tensor)`
 
 **Args:**
 
-​    img_tensor (`torch.Tensor`):
-
-​        The image tensor.
+- img_tensor:
+  - the input image tensor
+  - supported types: `torch.Tensor`
 
 **Returns:**
 
-​    (`Tuple[('feature_vector', numpy.ndarray)]`)
+The Operator returns a tuple `Tuple[('feature_vector', numpy.ndarray)]` containing following fields:
 
-​         The embedding of image.
+- feature_vector:
+  - the embedding of the image
+  - data type: `numpy.ndarray`
 
 ## Requirements
 
@@ -42,7 +43,7 @@ You can get the required python package by [requirements.txt](./requirements.txt
 
 ## How it works
 
-The `towhee/resnet50-image-embedding` Operator implements the function of image embedding, which can add to the pipeline, for example, it's the key Operator named embedding_model within [image-embedding-resnet50](https://hub.towhee.io/towhee/image-embedding-resnet50) pipeline, and it is the red box in the picture below.
+The `towhee/resnet50-image-embedding` Operator implements the function of image embedding, which can add to the pipeline. For example, it's the key Operator named embedding_model within [image-embedding-resnet50](https://hub.towhee.io/towhee/image-embedding-resnet50) pipeline, and it is the red box in the picture below.
 
 ![img](./readme_res/operator.png)