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README.md
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# DETR-ResNet50: Optimized for Mobile Deployment
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## Transformer based object detector with ResNet50 backbone
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DETR is a machine learning model that can detect objects (trained on COCO dataset).
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This model is an implementation of
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This repository provides scripts to run DETR-ResNet50 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/detr_resnet50).
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# DETR-ResNet50: Optimized for Mobile Deployment
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## Transformer based object detector with ResNet50 backbone
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DETR is a machine learning model that can detect objects (trained on COCO dataset).
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This model is an implementation of Posenet-Mobilenet found [here](https://github.com/facebookresearch/detr).
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This repository provides scripts to run DETR-ResNet50 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/detr_resnet50).
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