Table 3. Results of the DUF classification task trained with 1,000 images.
Model | Accuracy (%) | Specificity (%) | Recall (%) | Precision (%) | F1-Score (%) |
---|---|---|---|---|---|
Proposed model | 87.6 | 86.2 | 88.8 | 87.3 | 88.5 |
Xception | 87.4 | 86.3 | 88.4 | 87.3 | 87.9 |
ResNet50 | 88.6 | 86.4 | 90.9 | 87.4 | 89.0 |