Improved YOLOv8 Detection Algorithm in Security Inspection Image

Autor:	Lu, Liyao
Rok vydání:	2023
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	Security inspection is the first line of defense to ensure the safety of people's lives and property, and intelligent security inspection is an inevitable trend in the future development of the security inspection industry. Aiming at the problems of overlapping detection objects, false detection of contraband, and missed detection in the process of X-ray image detection, an improved X-ray contraband detection algorithm CSS-YOLO based on YOLOv8s is proposed. Comment: 23 pages,23 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2308.06452 Zobrazit plný text záznamu View this record from Arxiv