dataset and you you you would learn really good features so one interesting point is you might think hey the more angles you had to a dataset the more good features that you can learn that's not particularly true so the authors found that if you just use for rotation angle 0 90 180 270 the and you put a linear classifier on top and train it on C for this is a small data set you can get 89% op1 accuracy but if you add multiples of 45 degrees which is like one level more fine-grain your performance drops by 0.5% approximately