Table 7.
Performance summary of YOLOv8s with additional 3 Conv blocks and alternative activation functions on the validation dataset.
| Model | Precision val | test |
Recall val | test |
mAP50 val | test |
mAP50-95 val | test |
|---|---|---|---|---|
| YOLOv8s+Conv3+SiLU | 0.899 | 0.931 | 0.846 | 0.829 | 0.904 | 0.906 | 0.674 | 0.694 |
| YOLOv8s+Conv3+ReLU | 0.905 | 0.906 | 0.815 | 0.829 | 0.878 | 0.875 | 0.626 | 0.668 |
| YOLOv8s+Conv3+LeakyReLU | 0.915 | 0.942 | 0.834 | 0.840 | 0.892 | 0.900 | 0.642 | 0.677 |
| YOLOv8s+Conv3+Tanh | 0.822 | 0.906 | 0.623 | 0.702 | 0.726 | 0.771 | 0.434 | 0.502 |
| YOLOv8s+Conv3+Hard Swish | 0.919 | 0.932 | 0.851 | 0.826 | 0.920 | 0.911 | 0.677 | 0.701 |
Bold values signify the value of the best performing activation function configuration under each metric.