Table 6 Precision rates, recall rates and F1-scores of the proposed method on different datasets
From: Mural classification model based on high- and low-level vision fusion
| Dataset | Precision | Recall | F1-score |
|---|---|---|---|
| PT91 | 60.01 | 40.12 | 43.88 |
| PT13 | 66.93 | 65.81 | 65.57 |
| DH660 | 96.56 | 96.56 | 96.55 |
| MuralSet | 80.64 | 78.06 | 78.63 |
