CNN-based model | Image set | Experiments | ||||||
---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | Average accuracy | SD | ||
Alexnet | Training set | 0.9521 | 0.9479 | 0.953 | 0.9545 | 0.9508 | 0.9517 | 0.0025 |
Testing set | 0.9576 | 0.9928 | 0.9752 | 0.969 | 0.9804 | 0.9750 | 0.0131 | |
Googlenet | Training set | 0.9527 | 0.9525 | 0.9536 | 0.9539 | 0.9527 | 0.9531 | 0.0006 |
Testing set | 0.9845 | 0.9855 | 0.9793 | 0.9855 | 0.9845 | 0.9839 | 0.0026 | |
VGG16 | Training set | 0.9592 | 0.9602 | 0.9602 | 0.9573 | 0.9602 | 0.9594 | 0.0013 |
Testing set | 0.9773 | 0.9959 | 0.9959 | 0.9783 | 0.9959 | 0.9887 | 0.0099 | |
VGG19 | Training set | 0.9618 | 0.9593 | 0.961 | 0.9593 | 0.961 | 0.9605 | 0.0011 |
Testing set | 0.9938 | 0.9938 | 0.9948 | 0.9938 | 0.9948 | 0.9942 | 0.0005 | |
Resnet18 | Training set | 0.9521 | 0.9509 | 0.9513 | 0.9507 | 0.9508 | 0.9512 | 0.0006 |
Testing set | 0.9866 | 0.9886 | 0.9804 | 0.9866 | 0.9814 | 0.9847 | 0.0036 | |
Resnet50 | Training set | 0.9565 | 0.9507 | 0.9568 | 0.9572 | 0.9568 | 0.9556 | 0.0028 |
Testing set | 0.9917 | 0.9907 | 0.9897 | 0.9907 | 0.9917 | 0.9909 | 0.0008 | |
Resnet101 | Training set | 0.9592 | 0.9584 | 0.9595 | 0.9595 | 0.9587 | 0.9591 | 0.0005 |
Testing set | 0.9917 | 0.9917 | 0.9917 | 0.9917 | 0.9928 | 0.9919 | 0.0005 |