Research on the method of making Manchu indeterminate length character dataset based on YOLOv5
A large amount of Manchu data is needed in Manchu recognition,but there is currently no Manchu indeterminate length character dataset available.To solve this problem,a method of making Manchu indeterminate length character dataset based on YOLOv5 is proposed for subsequent training and research.Compared with traditional cutting methods,only the image to be detected is required.By improving the dataset making process based on YOLOv5,the parts of image flipping and random cropping in the original YOLOv5 experiment are removed.The loss function of the original YOLOv5 is replaced with EIoU,and the attention mechanism SE module is added.The experimental results show that compared with the original YOLOv5 network,its accuracy and recall rate are improved to 98.95%and 98.83%,respectively,which proves the practicability and high efficiency of the algorithm.
NETL
NSTL
万方数据
维普
