CIFAR-10 data set in PKL format. The zip file contains the following three files:
- cifar-10-tf-train.pkl
- cifar-10-tf-test.pkl
- cifar-10-tf-valid.pkl
The CIFAR-10 data set is a labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton.
The CIFAR-10 data set is a .gz file which consists of 60000 32x32 colour images in 10 classes, with 6000 images per class.
The classes in the data set are: airplane, automobile, bird, cat, deer, dog, frog, horse, ship and truck.
For more details or for Matlab and binary versions of the data sets, see: https://www.cs.toronto.edu/%7Ekriz/cifar.html
Reference This tech report (Chapter 3) describes the data set and the methodology followed when collecting it in much greater detail. Please cite this report when using this data set: Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009.