# CIFAR-10

60,000 32x32 colour images in 10 classes, with 6,000 images per class.

## Source
https://www.cs.toronto.edu/~kriz/cifar.html

## Format
Python pickle files (cifar-10-python.tar.gz)

## Citation
Krizhevsky, A. (2009). Learning Multiple Layers of Features from
Tiny Images. Tech Report.