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README.md

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 Ultralytics YOLOv8 is a machine learning model that predicts bounding boxes and classes of objects in an image. This model is post-training quantized to int8 using samples from the COCO dataset.
 
-This model is an implementation of Posenet-Mobilenet found [here](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models/yolo/detect). 
+This model is an implementation of YOLOv8-Detection-Quantized found [here](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/models/yolo/detect).
 
 
 More details on model performance accross various devices, can be found [here](https://aihub.qualcomm.com/models/yolov8_det_quantized).