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Learning Multiple Layers of Features from Tiny Images

The CIFAR-10 dataset consists of 60,000 training images and 10,000 test images. Each image is a 32×32 color image.

Data and Resources

Cite this as

Alex Krizhevsky (2024). Dataset: Learning Multiple Layers of Features from Tiny Images. https://doi.org/10.57702/zp44cu3g

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1705.10686
Citation
  • https://doi.org/10.48550/arXiv.2204.01457
  • https://doi.org/10.48550/arXiv.2208.08270
  • https://doi.org/10.48550/arXiv.2402.18211
  • https://doi.org/10.48550/arXiv.2103.12814
  • https://doi.org/10.48550/arXiv.1910.06548
  • https://doi.org/10.48550/arXiv.2010.02778
Author Alex Krizhevsky
Homepage http://www.cs.toronto.edu/~kriz/cifar.html