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README.md
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# ResNet50Quantized: Optimized for Mobile Deployment
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## Imagenet classifier and general purpose backbone
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ResNet50 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
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This model is an implementation of
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This repository provides scripts to run ResNet50Quantized 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/resnet50_quantized).
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# ResNet50Quantized: Optimized for Mobile Deployment
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## Imagenet classifier and general purpose backbone
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ResNet50 is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
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This model is an implementation of Posenet-Mobilenet found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py).
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This repository provides scripts to run ResNet50Quantized 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/resnet50_quantized).
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