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license: cc-by-4.0
pretty_name: ImageNet-DomainNet-NvR
---

This dataset supplies new classification labels to existing image classification/distribution shift robustness benchmarks.
The classification task involves distinguishing images with a natural style (e.g., photographs) from renditions (e.g., sketches, and cartoons).
There are three classes: "natural," "ambiguous," and "rendition." We provide 1000 labels for each of the seven common benchmark datasets.

These samples should be used only to test new rendition classifiers and not to train/design new ones!

When using this dataset, please also cite the work introducing each of the used data sources (see README.md in each .tar file).