Table 2.

The size, max train accuracy and max validation accuracy of the four candidate models

	Model size (MB)	Max train accuracy	Max validation accuracy
VGG16	512	67.34%	63.04%
GoogLeNet	21.5	64.90%	63.37%
DenseNet161	102	68.04%	66.22%
ResNet152	222	68.51%	67.32%

CNN, convolutional neural network.

Model size: Total parameter size in the CNN model; Max train accuracy: The biggest accuracy on the train set among all the epochs. Max validation accuracy: The biggest accuracy on the validation set among all the epochs.