Vehicle Detection in Remote Sensing Image Based on Machine Vision

Table 2

Comparison of TP (the number of actual positive classes predicted as positive classes), FP (the number of actual negative classes predicted as positive classes), FN (the number of actual positive classes predicted as negative classes), F1-score, recall, and precision of YOLOv4 and IR-PANet in vehicle classes

	YOLOv4	IR-PANet
TP	2029	2284
FP	123	404
FN	294	39
F1-score	0.91	0.91
Recall	0.87	0.98
Precision	0.94	0.85