ImageNet-R (ImageNet-Rendition) is a robustness / out-of-distribution evaluation dataset consisting of artistic and non-photorealistic renditions of ImageNet classes. It contains renditions such as art, cartoons, deviantart, graffiti, embroidery, graphics, origami, paintings, patterns, plastic objects, plush objects, sculptures, sketches, tattoos, toys, and video game renderings. The dataset covers 200 ImageNet class WordNet IDs (the same label space as ImageNet) and contains about 30,000 images. It was created to test ImageNet-trained models’ robustness to style/domain shifts and to evaluate performance on non-photorealistic renditions of the same object classes (introduced as part of the datasets in Hendrycks et al., “The Many Faces of Robustness”).
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