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README.md

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 # DeepLabV3-ResNet50: Optimized for Mobile Deployment
 ## Deep Convolutional Neural Network model for semantic segmentation
 
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 DeepLabV3 is designed for semantic segmentation at multiple scales, trained on the COCO dataset. It uses ResNet50 as a backbone.
 
-This model is an implementation of DeepLabV3-ResNet50 found [here]({source_repo}).
+This model is an implementation of Posenet-Mobilenet found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/segmentation/deeplabv3.py). 
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 This repository provides scripts to run DeepLabV3-ResNet50 on Qualcomm® devices.
 More details on model performance across various devices, can be found
 [here](https://aihub.qualcomm.com/models/deeplabv3_resnet50).