:tada: Add compressed data
Browse files- README.md +38 -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
- jpeg_compression.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: cc-by-sa-4.0
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---
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---
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license: cc-by-sa-4.0
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---
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The corrupted version of the [Oxford-IIIT Pet](https://www.robots.ox.ac.uk/~vgg/data/pets/) fined-grained classification dataset.
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## License
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The dataset is available to download for commercial/research purposes under a Creative Commons Attribution-ShareAlike 4.0 International License. The copyright remains with the original owners of the images.
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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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```
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@inproceedings{parkhi2012cats,
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title={Cats and dogs},
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author={Parkhi, Omkar M and Vedaldi, Andrea and Zisserman, Andrew and Jawahar, CV},
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booktitle={CVPR},
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year={2012},
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}
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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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jpeg_compression.tar.gz
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motion_blur.tar.gz
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pixelate.tar.gz
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snow.tar.gz
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zoom_blur.tar.gz
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