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ImageNet-R Image Classification Dataset
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ImageNet-R, short for ImageNet-Rendition, is an extension of the ImageNet dataset. The ImageNet-R dataset contains interpretations of multiple ImageNet categories (art, cartoons, DIYART, graffiti, embroidery, graphics, origami, paintings, patterns, plastic products, plush products, sculptures, sketches, tattoos, toys, and video games, etc.). The ImageNet-R dataset involves the enumeration of 200 ImageNet categories, resulting in 30,000 images.
Citation
If you find this useful in your research, please consider citing: @article{hendrycks2021many, title={The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization}, author={Dan Hendrycks and Steven Basart and Norman Mu and Saurav Kadavath and Frank Wang and Evan Dorundo and Rahul Desai and Tyler Zhu and Samyak Parajuli and Mike Guo and Dawn Song and Jacob Steinhardt and Justin Gilmer}, journal={ICCV}, year={2021} }
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