Lightweight aerial image object detection algorithm based on improved YOLOv5s

YOLOv5 is one of the most popular object detection algorithms, which is divided into multiple series according to the control of network depth and width. To realize the deployment of mobile devices or embedded devices, the paper proposes a lightweight aerial image object detection algorithm (LAI-YOL...

Celý popis

Podrobná bibliografia

Vydané v:	Scientific reports Ročník 13; číslo 1; s. 7817 - 10
Hlavní autori:	Deng, Lixia, Bi, Lingyun, Li, Hongquan, Chen, Haonan, Duan, Xuehu, Lou, Haitong, Zhang, Hongyu, Bi, Jingxue, Liu, Haiying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 15.05.2023 Nature Publishing Group Nature Portfolio
Predmet:	639/705/117 639/705/794 Accuracy Algorithms Humanities and Social Sciences multidisciplinary Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!