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README.md
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# FCN-ResNet50-Quantized: Optimized for Mobile Deployment
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## Quantized fully-convolutional network model for image segmentation
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FCN_ResNet50 is a quantized machine learning model that can segment images from the COCO dataset. It uses ResNet50 as a backbone.
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This model is an implementation of
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This repository provides scripts to run FCN-ResNet50-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/fcn_resnet50_quantized).
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# FCN-ResNet50-Quantized: Optimized for Mobile Deployment
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## Quantized fully-convolutional network model for image segmentation
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FCN_ResNet50 is a quantized machine learning model that can segment images from 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/fcn.py).
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This repository provides scripts to run FCN-ResNet50-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/fcn_resnet50_quantized).
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