Examples of CIFAR-10 images

The CIFAR-10 dataset is a labeled subset of the 80 million tiny images dataset consisting of 10 classes. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton:

Conversion from original data:

  • Decompress the images

  • Run Python script (requirements.txt) from the directory with the .tar.gz file

  • The train and test directories contain training and test sets with the the class labels as sub-directories

License

Unclear.

Citation

Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009.