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  YoloNAS 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.
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- This model is an implementation of Posenet-Mobilenet found [here](https://github.com/Deci-AI/super-gradients).
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  More details on model performance accross various devices, can be found [here](https://aihub.qualcomm.com/models/yolonas_quantized).
 
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  YoloNAS 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.
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+ This model is an implementation of Yolo-NAS-Quantized found [here](https://github.com/Deci-AI/super-gradients).
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  More details on model performance accross various devices, can be found [here](https://aihub.qualcomm.com/models/yolonas_quantized).