task is like this you would take images and then you rotate them either zero degrees 90 degrees 100 to 70 and then the network is basically doing a for class classification task for these different rotations the exemplars used data augmentations to take an image and then change it in like a ton of different ways and then this image corresponds to its own class so it would be like a massive way like maybe like a thousand class and on classification problem so jigsaw puzzle this is an interesting one it's where