Table 1.

The various parameters used during the feature extraction model training process.

Variables	Values
Optimizer	Adam
Learning rate	0.01
Loss function	Categorical cross entropy
Evaluation matrix	Accuracy
Image pre-processing	Predefined pre-process input function of related transfer learning model
Callbacks	Model checkpoint (save best only), Reduce LR on Plateau
Epochs	100