Data set . In this experiment , we investigate the impact of label noise on CE and L 5,1 . The CIFAR-100 data set contains 60,000 RGB images , with 50,000 samples for training - validation and 10,000 for testing . There are 20 " coarse " classes , each consisting of 5 " fine " labels . For example , the coarse class " people " is made up of the five fine labels " baby " , " boy " , " girl " , " man " and " woman " . In this set of experiments , the images are centered and normalized channel - wise before they are fed to the network . We use the standard data augmentation technique with random horizontal flips and random crops of size 32 × 32 on the images padded with 4 pixels on each side .