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  # Yolo-v7: Optimized for Mobile Deployment
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  ## Real-time object detection optimized for mobile and edge
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  YoloV7 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 Yolo-v7 found [here]({source_repo}).
 
 
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  This repository provides scripts to run Yolo-v7 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/yolov7).
 
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  # Yolo-v7: Optimized for Mobile Deployment
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  ## Real-time object detection optimized for mobile and edge
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  YoloV7 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/WongKinYiu/yolov7/).
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  This repository provides scripts to run Yolo-v7 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/yolov7).