Table 2.

Performance comparison of different architectures.

Model	Precision	Recall	F1-score	mAP@0.5 (%)
YOLOv5 (proposed)	0.943	0.895	0.918	94.6
MobilenetSSDv2	0.626	0.60	0.613	63.0
Faster R-CNN ResNet	0.809	0.631	0.709	81.0