Detection and Correction of Women's Pants Pattern Defects Based on YOLOv8
Due to the diversity of human body types,the garments are usually unfit during the trying on process.In order to assist the pattern makers to find and solve the pattern problems,this paper took women's pants as an example,summarized common images of women's trouser malpractices as datasets,including obvious front crotch excess,obvious cat whiskers in the front crotch,pinched crotch in the back piece,and obvious diagonal folds in the thigh-root in the back piece,and conducted experiments using the YOLOv8 model in deep learning algorithms.In the model testing stage,the accuracy,recall rate,and(-P)A(Iou=50％)all reached over 98％.At the same time,the rationality of the defect correction sugges-tions was verified through defect correction experiments.The study achieved intelligent detection and correction of defects in women's trousers.
deep learningtarget detectionpaper pattern defectspaper pattern correctionYOLOv8 model
万方数据
维普
