Datasets › Icons-50

Icons-50

Introduced by Dan Hendrycks et al. in Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations archive 2025-07-28

Icons-50 is a dataset for studying surface variation robustness.

Source: Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations

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 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

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

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Icons-50

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