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README.md
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# Yolo-v6: Optimized for Mobile Deployment
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## Real-time object detection optimized for mobile and edge
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YoloV6 is a machine learning model that predicts bounding boxes and classes of objects in an image.
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This model is an implementation of
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This repository provides scripts to run Yolo-v6 on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/yolov6).
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# Yolo-v6: Optimized for Mobile Deployment
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## Real-time object detection optimized for mobile and edge
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YoloV6 is a machine learning model that predicts bounding boxes and classes of objects in an image.
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This model is an implementation of Posenet-Mobilenet found [here](https://github.com/meituan/YOLOv6/).
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This repository provides scripts to run Yolo-v6 on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/yolov6).
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