Table 5.

Performance comparison of models based on accuracy, precision, recall, and F1-score.

Model	Accuracy	Precision	Recall	F1-score
VGG16	94.94%	0.9428	0.9256	0.9331
Resnet-50	99.45%	0.9931	0.9919	0.9924
Efficient Net-B0	99.69%	0.9952	0.9950	0.9951
DenseNet-121	99.76%	0.9960	0.9969	0.9965
MobileNet-V2	99.62%	0.9946	0.9948	0.9947
Inception-V3	99.73%	0.9960	0.9959	0.9962
Incpetion-ResnetV2	99.74%	0.9959	0.9959	0.9960
Xception	99.70%	0.9949	0.9957	0.9953
Proposed CNN-SEEIB	99.79%	0.9970	0.9972	0.9971