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DETR-ResNet50-DC5

Object Detection
PyTorch
TF Lite
ONNX
android
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  # DETR-ResNet50-DC5: Optimized for Mobile Deployment
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  ## Transformer based object detector with ResNet50 backbone (dilated C5 stage)
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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 DETR-ResNet50-DC5 found [here]({source_repo}).
 
 
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  This repository provides scripts to run DETR-ResNet50-DC5 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_dc5).
 
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  # DETR-ResNet50-DC5: Optimized for Mobile Deployment
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  ## Transformer based object detector with ResNet50 backbone (dilated C5 stage)
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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-DC5 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_dc5).