Table 2 Performance comparison with other models.
From: Deep learning-based system development for black pine bast scale detection
Model | Precision | Recall | F1 score | mAP (%) |
|---|---|---|---|---|
Fast RCNN | 0.89 | 0.65 | 0.75 | 89.6 |
Faster RCNN | 0.91 | 0.67 | 0.77 | 90.1 |
RetinaNet | 0.90 | 0.69 | 0.78 | 89.8 |
YOLO v5l | 0.88 | 0.92 | 0.90 | 94.7 |
