diff --git a/README.md b/README.md
index d19c589..cd574b8 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,10 @@
-# Resnet50 Operator
+# Resnet Operator
 
 Authors: derekdqc, shiyu22
 
 ## Overview
 
-This Operator generates feature vectors from the pytorch pretrained **Resnet50** model[1], which is trained on [imagenet dataset](https://image-net.org/download.php).
+This Operator generates feature vectors from the pytorch pretrained **Resnet** model[1], which is trained on [imagenet dataset](https://image-net.org/download.php).
 
 **Resnet** models were proposed in “[Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385)”[2], this model was the winner of ImageNet challenge in 2015. "The fundamental breakthrough with ResNet was it allowed us to train extremely deep neural networks with 150+layers successfully. Prior to ResNet training very deep neural networks were difficult due to the problem of vanishing gradients"[3].
 
@@ -18,7 +18,7 @@ __init__(self, model_name: str, framework: str = 'pytorch')
 
 - model_name:
   - the model name for embedding
-  - supported types: `str`, for example 'resnet50'
+  - supported types: `str`, for example 'resnet50' or 'resnet101'
 - framework:
   - the framework of the model
   - supported types: `str`, default is 'pytorch'
@@ -47,7 +47,7 @@ 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/resnet-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-resnet](https://hub.towhee.io/towhee/image-embedding-resnet) pipeline, and it is the red box in the picture below.
 
 ![img](./readme_res/operator.png)