CIFAR-10-C

CIFAR-10-C is a dataset of 60,000 32x32 color images in 10 classes, with 6,000 images per class, and 10% of the images are corrupted.

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The json representation of the dataset with its distributions based on DCAT.
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Cong Xu, Wei Zhang, Jun Wang, Min Yang (2024). Dataset: CIFAR-10-C. https://doi.org/10.57702/e3f87hfa

DOI retrieved: December 3, 2024

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2405.16029
Citation	https://doi.org/10.48550/arXiv.2404.02478 https://doi.org/10.48550/arXiv.2402.11733 https://doi.org/10.48550/arXiv.2202.12435
Author	Cong Xu
More Authors	Wei Zhang Jun Wang Min Yang
Homepage	https://github.com/fastai/imagenette