diff --git a/README.md b/README.md
index 549034a..55a57e3 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@ Authors: Kyle, shiyu22
 
 ## Overview
 
-This pipeline is used to **extract the feature vector of the image**, first to normalize the image , and then use resnet50 model to generate the vector.
+This pipeline is used to **extract the feature vector of the image**, first to normalize the image, and then to use the resnet50 model to generate the vector.
 
 In fact, the pipeline runs by parsing [the yaml file](./image_embedding_resnet50.yaml), which declares some functions we call **Operator**, and the **DataFrame** required by each Operator. Next will introduce the interface, how to use it and how it works, have fun with it!
 
@@ -66,4 +66,4 @@ This pipeline includes four functions: `_start_op`, `towhee/transform-image`, `t
 
 ![img](./pic/pipeline.png)
 
-Among the four Operator,`_start_op` and `_end_op`  are required in any Pipeline, and they are used to start and end the pipeline in the Towhee system. For the other two Operators, please refer to [towhee/transform-image](https://hub.towhee.io/towhee/transform-image) and [towhee/resnet50-image-embedding](https://hub.towhee.io/towhee/resnet50-image-embedding).
+Among the four Operator, `_start_op` and `_end_op` are required in any Pipeline, and they are used to start and end the pipeline in the Towhee system. For the other two Operators, please refer to [towhee/transform-image](https://hub.towhee.io/towhee/transform-image) and [towhee/resnet50-image-embedding](https://hub.towhee.io/towhee/resnet50-image-embedding).