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README.md

@@ -7,7 +7,7 @@ tags:
 
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-![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/web-assets/banner.png)
+![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sinet/web-assets/model_demo.png)
 
 # SINet: Optimized for Mobile Deployment
 ## Lightweight portrait segmentation for background removal
@@ -183,7 +183,7 @@ With the output of the model, you can compute like PSNR, relative errors or
 spot check the output with expected output.
 
 **Note**: This on-device profiling and inference requires access to Qualcomm®
-AI Hub. [Sign up for early access](https://aihub.qualcomm.com/sign-up).
+AI Hub. [Sign up for access](https://myaccount.qualcomm.com/signup).
 
 
 ## Run demo on a cloud-hosted device