A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification

Table 1

Classification accuracy of various data augmentation methods on CIAFR-10 under the proposed full stage data augmentation framework.

Methods	CIFAR-10 (%)
Translation	91.41
Horizontal flip	90.27
Rotation	88.78
Scale transformation	90.70
Noise disturbance	87.54