Fig. 8.

CNN test accuracy with the real-time data augmentation using different styles of training. The “trained from scratch” method trains a CNN with a random weight initialization. Other methods fine-tune the ImageNet pretrained CNNs by incrementally updating weights of each fully connected (fc) layer from inception5 to conv1, detailed in Fig. 6