The Performance Research of the Data Augmentation Method for Image Classification

Figure 5

Evolution of the test accuracy on ImageNet. The test accuracy (y axis) value ranges from 0.3 to 0.65; the curves of the six methods are mixed together at the beginning; color augmentation and natural input image stopped firstly, and then rotation, shift, and flip operations.