:tada: Add data & docs
Browse files- README.md +44 -0
- brightness.tar.gz +3 -0
- contrast.tar.gz +3 -0
- defocus_blur.tar.gz +3 -0
- elastic.tar.gz +3 -0
- fog.tar.gz +3 -0
- frost.tar.gz +3 -0
- gaussian_noise.tar.gz +3 -0
- glass_blur.tar.gz +3 -0
- impulse_noise.tar.gz +3 -0
- jpegcompression.tar.gz +3 -0
- motion_blur.tar.gz +3 -0
- pixelate.tar.gz +3 -0
- shot_noise.tar.gz +3 -0
- snow.tar.gz +3 -0
- zoom_blur.tar.gz +3 -0
README.md
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---
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license: mit
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---
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---
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license: mit
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---
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The corrupted version of the [Caltech-UCSD Birds-200-2011](http://www.vision.caltech.edu/datasets/cub_200_2011/) fined-grained classification dataset.
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## How to use this dataset
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For all the corruptions, extract the tar.gz files with the following command:
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```bash
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for f in *.tar.gz; do tar -xzf "$f" && rm "$f"; done
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```
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## License
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According to the authors of the original dataset,\[the use of the images\] is restricted to non-commercial research and educational purposes.
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## Citation
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If you use this dataset please consider citing:
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The authors of the original dataset,
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@article{wah2011caltech,
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title={The caltech-ucsd birds-200-2011 dataset},
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author={Wah, Catherine and Branson, Steve and Welinder, Peter and Perona, Pietro and Belongie, Serge},
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year={2011},
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publisher={California Institute of Technology}
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}
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the authors of the original transformations,
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```
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@inproceedings{hendrycks2019benchmarking,
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title={Benchmarking neural network robustness to common corruptions and perturbations},
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author={Hendrycks, Dan and Dietterich, Thomas},
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booktitle={ICLR},
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year={2019}
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}
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```
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and TorchUncertainty.
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### Version
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This dataset was generated with Torch Uncertainty 0.4.3.
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brightness.tar.gz
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contrast.tar.gz
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defocus_blur.tar.gz
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elastic.tar.gz
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fog.tar.gz
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frost.tar.gz
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gaussian_noise.tar.gz
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glass_blur.tar.gz
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impulse_noise.tar.gz
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jpegcompression.tar.gz
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motion_blur.tar.gz
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pixelate.tar.gz
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shot_noise.tar.gz
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snow.tar.gz
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zoom_blur.tar.gz
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