Datasets › ImageNet-O

ImageNet-O

Introduced by Dan Hendrycks et al. in Natural Adversarial Examples archive 2025-07-28

ImageNet-O consists of images from classes that are not found in the ImageNet-1k dataset. It is used to test the robustness of vision models to out-of-distribution samples. It's reported using the AUPR metric.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 89 papers for it but never published that list.

Dataset loaders archive 2025-07-28

hendrycks/natural-adv-examplespytorch

torch-uncertainty.github.io/ensta-u2is/torch-uncertaintypytorch

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Image Classification Outlier Detection Out of Distribution (OOD) Detection

License archive 2025-07-28

MIT

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

ImageNet-O

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections