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  DeepLabV3 is designed for semantic segmentation at multiple scales, trained on the COCO dataset. It uses ResNet50 as a backbone.
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- This model is an implementation of Posenet-Mobilenet found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/segmentation/deeplabv3.py).
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  This repository provides scripts to run DeepLabV3-ResNet50 on Qualcomm® devices.
 
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  DeepLabV3 is designed for semantic segmentation at multiple scales, trained on the COCO dataset. It uses ResNet50 as a backbone.
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+ This model is an implementation of DeepLabV3-ResNet50 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/segmentation/deeplabv3.py).
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  This repository provides scripts to run DeepLabV3-ResNet50 on Qualcomm® devices.