Table 2 YAC-Net model control experimental results
From: A lightweight deep-learning model for parasite egg detection in microscopy images
Model | Precision (%) | Recall (%) | F1 score | mAP_0.5 | Parameters |
|---|---|---|---|---|---|
YOLOv3 | 96.8 | 96.2 | 0.9651 | 0.9705 | 4,055,945 |
YOLOv5n | 96.7 | 94.9 | 0.9578 | 0.9642 | 2,505,089 |
YOLOv6n | 97.7 | 97.4 | 0.9765 | 0.9880 | 4,234,833 |
YOLOv8n | 97.3 | 98.0 | 0.9754 | 0.9911 | 3,007,793 |
YOLOv5n(Swin-T) | 96.9 | 95.7 | 0.9627 | 0.9765 | 3,202,419 |
YAC-Net | 97.8 | 97.7 | 0.9773 | 0.9913 | 1,924,302 |