:tada: Add data & docs

README.md

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 ---
 license: mit
 ---
+
+The corrupted version of the [Flowers102](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/) fined-grained classification dataset.
+
+## How to use this dataset
+
+For all the corruptions, extract the tar.gz files with the following command:
+
+```bash
+for f in *.tar.gz; do tar -xzf "$f" && rm "$f"; done
+```
+
+## License
+
+The license of the original dataset is unclear.
+
+## Citation
+
+If you use this dataset please consider citing:
+
+The authors of the original dataset,
+
+```
+@inproceedings{nilsback2008automated,
+  title={Automated flower classification over a large number of classes},
+  author={Nilsback, Maria-Elena and Zisserman, Andrew},
+  booktitle={ICVGIP},
+  year={2008},
+}
+```
+
+the authors of the original transformations,
+
+```
+@inproceedings{hendrycks2019benchmarking,
+  title={Benchmarking neural network robustness to common corruptions and perturbations},
+  author={Hendrycks, Dan and Dietterich, Thomas},
+  booktitle={ICLR},
+  year={2019}
+}
+```
+
+and TorchUncertainty.
+
+### Version
+
+This dataset was generated with Torch Uncertainty 0.4.3.

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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jpegcompression.tar.gz

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motion_blur.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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