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Evaluation of the mask R-CNN model in high and low-density validation datasets, average mound features per image, after the entire DA workflow for the detection of hachure mound features.
| Algorithm | Density (%) | TPs | FNs | FPs | Recall (%) | Precision (%) | F1 (%) |
|---|---|---|---|---|---|---|---|
| High-density | 128.26 | 77 | 38 | 3 | 66.96 | 96.25 | 78.97 |
| Low-density | 2.67 | 77 | 38 | 10 | 66.96 | 88.51 | 76.24 |
