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CIFAR-10 dataset

The CIFAR-10 dataset is a well-known collection of images used for image classification tasks, containing 60,000 32x32 color images in 10 different classes. The model provides interpretations demonstrating the parts of objects in the images that contribute to classification, including images that have undergone transformations.

Data and Resources

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Cite this as

Van den Oord et al. (2024). Dataset: CIFAR-10 dataset. https://doi.org/10.57702/roppinro

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update November 25, 2024
Defined In https://doi.org/10.48550/arXiv.1903.04488
Author Van den Oord et al.
Homepage https://www.cs.toronto.edu/~kriz/cifar.html