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README.md
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# DeepLabV3-Plus-MobileNet-Quantized: Optimized for Mobile Deployment
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## Quantized Deep Convolutional Neural Network model for semantic segmentation
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DeepLabV3 Quantized is designed for semantic segmentation at multiple scales, trained on various datasets. It uses MobileNet as a backbone.
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This model is an implementation of
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This repository provides scripts to run DeepLabV3-Plus-MobileNet-Quantized 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_quantized).
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# DeepLabV3-Plus-MobileNet-Quantized: Optimized for Mobile Deployment
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## Quantized Deep Convolutional Neural Network model for semantic segmentation
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DeepLabV3 Quantized is designed for semantic segmentation at multiple scales, trained on 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-Quantized 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_quantized).
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