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- ---
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- license: cc-by-4.0
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- pretty_name: ImageNet-DomainNet-NvR
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- ---
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- This dataset supplies new classification labels to existing image classification/OOD robustness benchmarks.
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- The classification task is about distinguishing images with a natural style (e.g., photographs) from renditions (e.g., sketches, cartoons).
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- There exist three classes: "natural", "ambiguous", and "rendition".
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  These samples should be used only to test new rendition classifiers and not to train/design new ones!
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+ ---
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+ license: cc-by-4.0
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+ pretty_name: ImageNet-DomainNet-NvR
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+ ---
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+ This dataset supplies new classification labels to existing image classification/distribution shift robustness benchmarks.
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+ The classification task involves distinguishing images with a natural style (e.g., photographs) from renditions (e.g., sketches, and cartoons).
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+ There are three classes: "natural," "ambiguous," and "rendition." We provide 1000 labels for each of the seven common benchmark datasets.
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  These samples should be used only to test new rendition classifiers and not to train/design new ones!
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