Table 3.

Evaluation of different ML models with respect to the two imaging modalities.

Model	Image Modality	Precision	Recall	mAp	F1-Score
YOLO v5	RGB	0.804	0.716	0.797	0.751
	SAVE	0.799	0.829	0.819	0.810
YOLO v8	RGB	0.843	0.755	0.807	0.795
	SAVE	0.904	0.710	0.801	0.794
YOLO v9	RGB	0.806	0.605	0.737	0.65
	SAVE	0.783	0.666	0.775	0.71
YOLO-NAS	RGB	0.733	0.541	0.659	0.623
	SAVE	0.731	0.665	0.690	0.69
Roboflow 3.0	RGB	0.719	0.643	0.660	0.675
	SAVE	0.781	0.613	0.680	0.68