diff --git a/docs/en/models/mobile-sam.md b/docs/en/models/mobile-sam.md
index 4800fe86..0d7df2a2 100644
--- a/docs/en/models/mobile-sam.md
+++ b/docs/en/models/mobile-sam.md
@@ -4,7 +4,7 @@ description: Discover MobileSAM, a lightweight and fast image segmentation model
 keywords: MobileSAM, image segmentation, lightweight model, fast segmentation, mobile applications, SAM, ViT encoder, Tiny-ViT, Ultralytics
 ---
 
-![MobileSAM Logo](https://github.com/ChaoningZhang/MobileSAM/blob/master/assets/logo2.png)
+![MobileSAM Logo](https://raw.githubusercontent.com/ChaoningZhang/MobileSAM/master/assets/logo2.png)
 
 # Mobile Segment Anything (MobileSAM)
 
diff --git a/docs/en/models/sam-2.md b/docs/en/models/sam-2.md
index ad3ccea4..562a1300 100644
--- a/docs/en/models/sam-2.md
+++ b/docs/en/models/sam-2.md
@@ -65,7 +65,7 @@ SAM 2 sets a new benchmark in the field, outperforming previous models on variou
 - **Memory Mechanism**: Includes a memory encoder, memory bank, and memory attention module. These components collectively store and utilize information from past frames, enabling the model to maintain consistent object tracking over time.
 - **Mask Decoder**: Generates the final segmentation masks based on the encoded image features and prompts. In video, it also uses memory context to ensure accurate tracking across frames.
 
-![SAM 2 Architecture Diagram](https://github.com/facebookresearch/segment-anything-2/blob/main/assets/model_diagram.png)
+![SAM 2 Architecture Diagram](https://raw.githubusercontent.com/facebookresearch/sam2/refs/heads/main/assets/model_diagram.png)
 
 ### Memory Mechanism and Occlusion Handling