OBC-YOLOv8: an improved road damage detection model based on YOLOv8
Effective and efficient detection of pavement distress is very important for the normal use and maintenance of roads. To achieve this goal, a new road damage detection method based on YOLOv8 is proposed in this article. Firstly, omni-dimensional dynamic convolution (ODConv) block is employed to bett...
Saved in:
Main Authors: | Shizheng Zhang, Zhihao Liu, Kunpeng Wang, Wanwei Huang, Pu Li |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2025-01-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-2593.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ESD-YOLOv8: An Efficient Solar Cell Fault Detection Model Based on YOLOv8
by: Lingyun Zhang, et al.
Published: (2024-01-01) -
Breast mass lesion area detection method based on an improved YOLOv8 model
by: Yihua Lan, et al.
Published: (2024-10-01) -
SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection
by: Yongzheng Miao, et al.
Published: (2025-01-01) -
Microscopic Defect Detection on Aircraft Engine Blades via Improved YOLOv8
by: Yujie Jiang, et al.
Published: (2025-01-01) -
Fast and High-Precision Human Fall Detection Using Improved YOLOv8 Model
by: Ahlam R. Khekan, et al.
Published: (2025-01-01)