(a) YOLOv 8s, (b) YOLOv 7-tiny, (c) YOLOv 5l, and (d) SEA-YOLO v8.

<p>(a) YOLOv 8s, (b) YOLOv 7-tiny, (c) YOLOv 5l, and (d) SEA-YOLO v8.</p>

Saved in:

Bibliographic Details
Main Author:	Yuxi Zhao (1797436) (author)
Other Authors:	Baoyong Shi (21568164) (author), Xiaoguang Duan (1554544) (author), Wenxing Zhu (14589422) (author), Liying Ren (11143129) (author), Chang Liao (564787) (author)
Published:	2025
Subjects:	Ecology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified utilize feature information rdd2022 dataset show improve feature representation feature fusion capability road damage detection road damage assessment detect road damage limited hardware resources yolo v8 model time target detection high detection accuracy study constructed sea material resources road maintenance yolov8 model traffic safety sustainable development selectively focus sbs module save manpower provide guidance neck component key areas great significance experimental results different layers computational complexity achieved 63 accurately locate
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items