Table 5.
Performance and parameter count of Base YOLOv8s and YOLOv8s with extra Conv blocks on the validation and test dataset.
| Model | Precision val | test |
Recall val | test |
mAP50 val | test |
mAP50-95 val | test |
Parameters |
|---|---|---|---|---|---|
| YOLOv8s | 0.932 | 0.914 | 0.817 | 0.832 | 0.886 | 0.841 | 0.599 | 0.661 | 11.14 M |
| YOLOv8s+Conv | 0.918 | 0.955 | 0.657 | 0.837 | 0.715 | 0.905 | 0.545 | 0.688 | 11.20 M |
| YOLOv8s+Conv2 | 0.943 | 0.901 | 0.829 | 0.852 | 0.894 | 0.894 | 0.670 | 0.694 | 11.26 M |
| YOLOv8s+Conv3 | 0.899 | 0.931 | 0.846 | 0.829 | 0.904 | 0.906 | 0.674 | 0.694 | 11.32 M |
| YOLOv8s+Conv4 | 0.931 | 0.936 | 0.852 | 0.859 | 0.905 | 0.903 | 0.657 | 0.686 | 11.38 M |
| YOLOv8s+Conv5 | 0.937 | 0.946 | 0.833 | 0.857 | 0.905 | 0.904 | 0.662 | 0.688 | 11.45 M |
Bold values signify the value of the best performing model configuration under each metric.