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README.md

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 # FFNet-40S-Quantized: Optimized for Mobile Deployment
 ## Semantic segmentation for automotive street scenes
 
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 FFNet-40S-Quantized is a "fuss-free network" that segments street scene images with per-pixel classes like road, sidewalk, and pedestrian. Trained on the Cityscapes dataset.
 
-This model is an implementation of FFNet-40S-Quantized found [here]({source_repo}).
+This model is an implementation of Posenet-Mobilenet found [here](https://github.com/Qualcomm-AI-research/FFNet). 
+
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 This repository provides scripts to run FFNet-40S-Quantized on Qualcomm® devices.
 More details on model performance across various devices, can be found
 [here](https://aihub.qualcomm.com/models/ffnet_40s_quantized).