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README.md

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 # YOLOv8-Segmentation: Optimized for Mobile Deployment
 ## Real-time object segmentation optimized for mobile and edge by Ultralytics
 
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 Ultralytics YOLOv8 is a machine learning model that predicts bounding boxes, segmentation masks and classes of objects in an image.
 
-This model is an implementation of YOLOv8-Segmentation found [here]({source_repo}).
+This model is an implementation of Posenet-Mobilenet found [here](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models/yolo/segment). 
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 This repository provides scripts to run YOLOv8-Segmentation on Qualcomm® devices.
 More details on model performance across various devices, can be found
 [here](https://aihub.qualcomm.com/models/yolov8_seg).