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  # DeepLabV3-Plus-MobileNet: Optimized for Mobile Deployment
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  ## Deep Convolutional Neural Network model for semantic segmentation
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  DeepLabV3 is designed for semantic segmentation at multiple scales, trained on the various datasets. It uses MobileNet as a backbone.
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- This model is an implementation of DeepLabV3-Plus-MobileNet found [here]({source_repo}).
 
 
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  This repository provides scripts to run DeepLabV3-Plus-MobileNet 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/deeplabv3_plus_mobilenet).
 
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  # DeepLabV3-Plus-MobileNet: Optimized for Mobile Deployment
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  ## Deep Convolutional Neural Network model for semantic segmentation
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  DeepLabV3 is designed for semantic segmentation at multiple scales, trained on the various datasets. It uses MobileNet as a backbone.
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+ This model is an implementation of Posenet-Mobilenet found [here](https://github.com/jfzhang95/pytorch-deeplab-xception).
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  This repository provides scripts to run DeepLabV3-Plus-MobileNet 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/deeplabv3_plus_mobilenet).