Table 6.

Classification performance of different deep learning models.

Metrics	Non-Pre-Trained Models						Pre-Trained Models
	VGG-16	VGG-19	ResNet-50	Inception-V3	Inception ResNetV2	‘Custom-Net’	VGG-16	VGG-19	ResNet-50	Inception-V3	Inception ResNetV2	‘Custom-Net’ Model
Accuracy (%)	57.27	57.27	98.68	99.39	99.49	99.78	99.89	99.49	99.79	99.59	98.98	98.15
Precision (%)	100	100	99.29	99.11	99.64	99.29	99.82	99.29	99.64	98.64	99.58	99.10
Recall (%)	57.27	57.27	98.42	99.82	99.47	98.59	100	99.82	100	99.64	99.64	98.39
F1 score (%)	72.83	72.83	98.85	99.46	99.55	98.94	99.91	99.55	99.82	99.64	99.11	98.69