{"id":20096597,"url":"https://github.com/hendrycks/imagenet-r","last_synced_at":"2025-03-17T14:07:35.293Z","repository":{"id":47304724,"uuid":"243854319","full_name":"hendrycks/imagenet-r","owner":"hendrycks","description":"ImageNet-R(endition) and DeepAugment (ICCV 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\u0026 Benchmarks"],"sub_categories":["Robustness / Distribution Shift"],"readme":"# The Many Faces of Robustness\nThe repository contains code, datasets, and model parameters for [The Many Faces of Robustness](https://arxiv.org/abs/2006.16241) (ICCV 2021).\n\n## ImageNet-R\nImageNet-R(endition) contains art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and video game renditions of ImageNet classes.\n\nImageNet-R has renditions of 200 ImageNet classes resulting in 30,000 images.\n\n__[Download ImageNet-R here](https://people.eecs.berkeley.edu/~hendrycks/imagenet-r.tar).__\n\n\u003cimg align=\"center\" src=\"yes.jpg\" width=\"800\"\u003e\n\u003cimg align=\"center\" src=\"no.jpg\" width=\"800\"\u003e\n\n## Other Resources\nThis repository also contains code for DeepAugment and DeepFashion Remixed experiments.\n\nReal Blurry Images are available for download [here](https://people.eecs.berkeley.edu/~hendrycks/blurry_images.tar).\n\nWeights for a ResNet-50 ImageNet classifier trained with DeepAugment are available\n[here](https://drive.google.com/file/d/1DPRElQnBG66nd7GUphVm1t-5NroL7t7k/view?usp=sharing).\n\nWeights for a ResNet-50 ImageNet classifier trained with DeepAugment+AugMix are available\n[here](https://drive.google.com/file/d/1QKmc_p6-qDkh51WvsaS9HKFv8bX5jLnP/view?usp=sharing).\n\nWeights for a ResNeXt-101 (32x8d) ImageNet classifier trained with DeepAugment+AugMix are available\n[here](https://drive.google.com/file/d/1U71SoHQjAkOOte4Uc0A4nh1JzRf9Ec8C/view?usp=sharing).\n\n## Citation\n\nIf you find this useful in your research, please consider citing:\n\n    @article{hendrycks2021many,\n      title={The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization},\n      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},\n      journal={ICCV},\n      year={2021}\n    }\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhendrycks%2Fimagenet-r","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhendrycks%2Fimagenet-r","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhendrycks%2Fimagenet-r/lists"}