Table 2. Same model recognition accuracy.
Model | Evaluation index | |||
---|---|---|---|---|
Training set accuracy (%) | Verification set accuracy (%) | Average processing time of a single image (s) | Floating-point arithmetic | |
ResNet50 | 97.17 | 92.13 | 0.243 | 3.89×109 |
ResNext | 97.64 | 92.73 | 0.301 | 4.82×109 |
MoblieViTv3 | 96.96 | 91.34 | 0.284 | 2.54×109 |
ResNet101 | 97.10 | 91.81 | 0.457 | 5.02×109 |
DenseNet | 97.89 | 92.84 | 0.451 | 5.31×109 |
EfficientNet | 97.62 | 93.47 | 0.456 | 5.36×109 |
FS-ResNet50 | 98.31 | 95.87 | 0.275 | 4.17×109 |