This is an internal deep learning exercise. The data set will be released in class.
CIFAR-10 is an established computer-vision dataset used for object recognition. It is a subset of the 80 million tiny images dataset and consists of 60,000 32x32 color images containing one of 10 object classes, with 6000 images per class. It was collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton.
We are hosting a CIFAR-10 leaderboard for CCC to use for fun and practice.
![](https://storage.googleapis.com/kaggle-media/competitions/inclass/7057/media/cifar10.png)