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. 2023 Jun 29;23(13):6037. doi: 10.3390/s23136037

Table 1.

Comparative experimental results.

Methods P R F1 AP FPS
Faster-R-CNN 70.13% 63.20% 0.6648 68.75% 27.26
Cascade R-CNN 78.32% 68.08% 0.7284 74.68% 8.63
YOLOv3 78.51% 67.98% 0.7286 73.85% 17.21
YOLOv3+
multiple-frame input
87.59% 75.72% 0.8122 79.43% 6.30
YOLOv3+
multiple-frame input+
optical flow
89.21% 78.36% 0.8343 85.18% 0.87
YOLOv4 83.47% 79.15% 0.8125 83.25% 20.05
YOLOv4+
multiple-frame input
89.28% 84.88% 0.8702 86.71% 10.17
YOLOv4+
multiple-frame input+
optical flow
89.68% 86.24% 0.8792 91.75% 1.48
YOLOv5x 85.92% 80.18% 0.8294 83.26% 20.21
YOLOv5l 83.41% 78.39% 0.8082 81.94% 31.14
YOLOv5m 81.56% 73.47% 0.7730 79.17% 52.63
YOLOv5s 78.77% 66.71% 0.7224 75.38% 66.45
YOLOv5s+
multiple-frame input
86.18% 76.43% 0.8101 82.27% 54.37
YOLOv5s+
multiple-frame input+
optical flow
86.96% 80.67% 0.8369 86.87% 31.84
YOLOv5n 76.38% 63.11% 0.6911 71.51% 75.34