Datasets › CIFAR-10C

CIFAR-10C

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

Common corruptions dataset for CIFAR10

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Classification CIFAR-10C ViT-L/16 (Background) Accuracy on Brightness Corrupted Images 99.03 Reduction of Class Activation Uncertainty with... dipuk0506/SpinalNet +1 1 Compare
Domain Generalization CIFAR-10C GLOT-DR Accuracy 84.5 Global-Local Regularization Via Distributional Robustness viethoang1512/glot 1 Compare

Papers archive 2025-07-28

2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 494. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Reduction of Class Activation Uncertainty with Background Information 2 1 5 May 2023 not harvested
Global-Local Regularization Via Distributional Robustness 1 1 1 Mar 2022 not harvested

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

Apache License 2.0

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • CIFAR-10C

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