Table 5.

Evaluation metrics for deep Learning.

Models	Training			Validation
	Accuracy	Loss	RMSE	Accuracy	Loss	RMSE
VGG-16	98.5	0.082	0.286	96.5	0.216	0.464
MobileNet V2	94.5	0.199	0.446	92.5	0.255	0.504
ResNet50	94.5	0.230	0.479	96.5	0.272	0.521
DenseNet-161	98.2	0.081	0.284	95.6	0.183	0.427
Inception V3	95.5	0.119	0.344	97.5	0.155	0.393
VGG-19	96.5	0.123	0.350	94.5	0.213	0.461