A New Multiface Target Detection Algorithm for Students in Class Based on Bayesian Optimized YOLOv3 Model

Table 2

Comparison of calculation results of different methods.

Algorithm	IoU = 0.5 missed detection rate	mAP (%) IoU = 0.5	AP (%)			Detection speed (Fps)	Parameter (MB)
			IoU = 0.6	IoU = 0.7	IoU = 0.8
Fast R-CNN	15.8	84.1	81.2	79.9	76.8	45.5	15.32
FaceNet	11.3	88.6	86.3	83.8	81.2	36.6	18.61
DeepID	10.8	89.2	86.5	83.9	82.1	38.3	17.85
SSD	12.2	87.8	85.3	82.9	80.4	40.5	14.83
YOLOv1	9.8	90.1	88.2	86.5	83.9	41.3	15.65
YOLOv2	9.5	90.5	89.3	87.5	85.2	43.7	16.21
YOLOv3	8.9	91.0	90.1	89.5	88.7	46.2	17.52
Ours	7.8	92.2	91.3	90.9	90.1	45.1	18.35