Table 2. The comparison results of CNN model and traditional identification model.
Networks | Train_accuracy | Train_Loss | Test_accuracy | Test_Loss |
---|---|---|---|---|
VGG16 | 0.983 | 0.085 | 0.9441 | 0.156 |
DenseNets121 | 0.998 | 0.009 | 0.9256 | 0.271 |
InceptionV4 | 1.00 | 0.00 | 0.9744 | 0.201 |
ResNet10 | 0.999 | 0.001 | 0.9935 | 0.024 |