Table 3.

Optimised hyperparameters during training

Parameter	Values
Input Image size	$192\times 256\times 3$
Batch size	16
Learning parameter,   $\alpha$	0.01
L2Regularization	0.005
Momentum,   $\gamma$	0.9
Loss function,   $E(\theta )$	Weighted cross entropy loss
Optimiser	SGDM