Fig. 6

\(F_1\) on training and validation data sets. \(F_1\) is a measure of the system accuracy. The training \(F_1\) continues to improve whilst the validation \(F_1\) appears to plateau at around epoch 40. This is because the network is starting to fit to noise and other anomalies in the training data which are not present in the validation images