Figure 1. K-Fold (K = 5) cross validation method.

All images are divided into five groups. Four groups are augmented and then used for training the model, and one group is used as a validation data. The process repeated five times until each of the five groups becomes a validation data. The answers of the neural networks for all images are used for calculating the performance of the neural networks.