A Real-Time Vehicle Counting, Speed Estimation, and Classification System Based on Virtual Detection Zone and YOLO

Table 7

Classification accuracy results of three data sets using various methods.

Data sets		Methods	Accuracy (%)	FPS
MAVD		Faster RCNN [10]	97.21	5
		Proposed method with YOLOv3	97.66	15
		Proposed method with YOLOv4	98.91	15
GRAM-RTM		Faster RCNN [10]	91.54	5
		Proposed method with YOLOv3	98.02	15
		Proposed method with YOLOv4	99.5	15
Our data set	Daytime	Faster RCNN [10]	97.7	5
		Proposed method with YOLOv3	98	15
		Proposed method with YOLOv4	99.1	15
	Night time	Faster RCNN [10]	93.59	5
		Proposed method with YOLOv3	98	15
		Proposed method with YOLOv4	98.6	15
	Rainy day	Faster RCNN [10]	87.5	5
		Proposed method with YOLOv3	90	15
		Proposed method with YOLOv4	98	15