Table 3 Performance metrics for discrimination of twelve wood species using standard images
Species | Recall (%) | Precision (%) | Genus-level average recall (%) | Genus-level average precision (%) |
|---|---|---|---|---|
Betula albosinensis | 99.95 | 98.24 | 99.95 | 98.24 |
Catalpa ovata | 100.00 | 100.00 | 100.00 | 100.00 |
Cinnamomum camphora | 100.00 | 96.98 | 100.00 | 96.98 |
Kalopanax septemlobus | 100.00 | 100.00 | 100.00 | 100.00 |
Phoebe bournei | 88.90 | 76.64 | 88.25 | 89.21 |
Phoebe chekiangensis | 99.15 | 99.23 | ||
Phoebe hungmaoensis | 85.81 | 98.22 | ||
Phoebe nanmu | 89.68 | 81.24 | ||
Phoebe neurantha | 51.00 | 99.22 | ||
Phoebe sheareri | 90.42 | 92.95 | ||
Ulmus pumila | 100.00 | 99.30 | 100.00 | 99.30 |
Zelkova schneideriana | 99.48 | 100.00 | 99.48 | 100.00 |
Overall Accuracy | 94.20 | |||