Table 4 Performance comparison of YOLOv8 and YAC-Net with C3 and C2f modules, respectively
From: A lightweight deep-learning model for parasite egg detection in microscopy images
Model | Precision (%) | Recall (%) | F1 score | mAP_0.5 | Parameters |
|---|---|---|---|---|---|
YOLOv5n | 96.7 | 94.9 | 0.9578 | 0.9642 | 2,505,089 |
YOLOv8n | 97.3 | 98.0 | 0.9754 | 0.9911 | 3,007,793 |
YOLOv8n(C3) | 95.3 | 95.2 | 0.9520 | 0.9739 | 2,482,993 |
YAC-Net(C3) | 96.7 | 96.1 | 0.9640 | 0.9826 | 1,898,518 |
YAC-Net | 97.8 | 97.7 | 0.9773 | 0.9913 | 1,924,302 |