Table 2 Comparison of PCE-YOLO and other algorithms of different scales on various datasets
Datastes | Fall | Low-Light_fall | Occlusion_fall | Fuzzy_fall | |
|---|---|---|---|---|---|
Algorithms | Metrics | ||||
PCE-YOLO | Precision/% | 92.46 | 90.3 | 88.72 | 87.36 |
Recall/% | 85.97 | 83.23 | 78.13 | 74.53 | |
mAP0.5/% | 92.94 | 91.47 | 88.14 | 87.67 | |
mAP0.5:0.95/% | 65.18 | 61.01 | 58.63 | 60.1 | |
YOLOv8n | Precision/% | 89.32 | 88.8 | 83.18 | 81.01 |
Recall/% | 80.36 | 77.5 | 77.99 | 72.18 | |
mAP0.5/% | 89.63 | 87.07 | 83.43 | 81.96 | |
mAP0.5:0.95/% | 61.79 | 56.81 | 53.18 | 52.55 | |
YOLOv8s | Precision/% | 92.15 | 90.1 | 86.34 | 84.02 |
Recall/% | 83.26 | 81.22 | 79.03 | 78.4 | |
mAP0.5/% | 91.4 | 89.9 | 85.11 | 84.89 | |
mAP0.5:0.95/% | 62.48 | 58.42 | 56.25 | 55.18 | |
YOLOv9s | Precision/% | 92.71 | 90.47 | 86.79 | 85.2 |
Recall/% | 83.88 | 82.05 | 79.25 | 77.53 | |
mAP0.5/% | 91.84 | 90.88 | 85.64 | 85.71 | |
mAP0.5:0.95/% | 63.32 | 59.47 | 56.93 | 57.86 | |
YOLOv10s | Precision/% | 93.5 | 90.62 | 87.03 | 86.37 |
Recall/% | 84.1 | 82.5 | 79.41 | 77.79 | |
mAP0.5/% | 92.56 | 91.3 | 86.17 | 86.6 | |
mAP0.5:0.95/% | 64.4 | 60.62 | 57.06 | 58.42 | |
