Table 2.
SVM using CNN features | Precision | Recall | F1-score |
---|---|---|---|
Clean | 0.71 | 0.49 | 0.58 |
Dirty | 0.68 | 0.63 | 0.65 |
Thin | 0.79 | 0.96 | 0.87 |
Thick | 0.82 | 0.96 | 0.89 |
Average accuracy | 0.759 |
SVM using CNN features | Precision | Recall | F1-score |
---|---|---|---|
Clean | 0.71 | 0.49 | 0.58 |
Dirty | 0.68 | 0.63 | 0.65 |
Thin | 0.79 | 0.96 | 0.87 |
Thick | 0.82 | 0.96 | 0.89 |
Average accuracy | 0.759 |