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. 2024 Aug 30;44:e00853. doi: 10.1016/j.btre.2024.e00853

Table 3.

The best YOLO model is based on the training and validation datasets.

Model Peak Accuracy
Epoch
Training Hours(hr) Threshold Precision(P) Recall(R) F1-Score mAP50
YOLOv7x 654 65.12hr 0.2 0.95 0.94 0.94 0.97
YOLOv7-W6 675 60.65hr 0.2 0.93 0.938 0.92 0.97
YOLOv7-D6 600 93.29hr 0.2 0.95 0.94 0.94 0.98
YOLOv8s 137 5.799hr 0.7 0.94 0.95 0.94 0.98
YOLOv8n 407 11.71hr 0.7 0.946 0.953 0.94 0.986
YOLOv8m 247 20.127hr 0.7 0.949 0.952 0.95 0.986
YOLOv8l 186 21.345hr 0.7 0.945 0.956 0.95 0.986
YOLOv8x 220 44.239hr 0.7 0.942 0.957 0.94 0.984