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Added reference to the Computer Vision Best Practices repository #2203

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7 changes: 7 additions & 0 deletions references/detection/README.md
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Expand Up @@ -29,3 +29,10 @@ python -m torch.distributed.launch --nproc_per_node=8 --use_env train.py\
--lr-steps 36 43 --aspect-ratio-group-factor 3
```

# External repositories

For further examples and explanations on how to use the object detection code in this folder, see Microsoft's [Computer Vision Best Practices](https://github.com/microsoft/computervision-recipes/tree/master/scenarios/detection) repository. The repository contains multiple notebooks with functionality to help with e.g. training on a custom dataset, model evaluation, parameters selection, etc., to more advanced topics such as hard-negative mining or model deployment.

<p align="center">
<img src="https://cvbp.blob.core.windows.net/public/images/cvbp_notebooks.jpg" width="700" alt="CVBP notebooks"/>
</p>