diff --git a/examples/sam_annotation/tutorial.md b/examples/sam_annotation/tutorial.md
index ce78497a..246c8fb1 100644
--- a/examples/sam_annotation/tutorial.md
+++ b/examples/sam_annotation/tutorial.md
@@ -1,3 +1,4 @@
+# Overview
 
 This project aims to replicate the Segment Anything Model (SAM), a large model, based on the edge-cloud collaborative AI paradigm provided by KubeEdge's lifelong learning system framework. It attempts to integrate SAM and related algorithms, such as Semantic Segment Anything (SSA), with the Label Studio annotation tool to create an open-domain data annotation system. This system provides model-assisted annotation and allows correction and export of annotated results.
 
@@ -244,4 +245,4 @@ Additionally, if you have any questions about using the annotation tool, you can
 
 # Future Work
 
-The current annotation process still relies to some extent on manual intervention and adjustments, and it has not yet achieved fully end-to-end automation. However, we have plans to further optimize it to make it easier to deploy and manage.
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+The current annotation process still relies to some extent on manual intervention and adjustments, and it has not yet achieved fully end-to-end automation. However, we have plans to further optimize it to make it easier to deploy and manage.