您当前的位置：
首页 >
文章列表页 >
A Steel Surface Defect Detection Algorithm Based on Improved YOLOv8
更新时间：2024-11-19
|

    • A Steel Surface Defect Detection Algorithm Based on Improved YOLOv8

    • “In the field of industrial production, experts have improved the YOLOv8 model and proposed the YOLOv8-LSD algorithm for detecting surface defects in steel, effectively improving detection accuracy and speed.”
    • Software Guide   Vol. 23, Issue 11, Pages: 200-205(2024)

    • DOI：10.11907/rjdk.232108    

      CLC： TP391.4

    • Received：01 December 2023，

      Published：15 November 2024

    移动端阅览

  • LI Yuandong,HE Zhiming.A Steel Surface Defect Detection Algorithm Based on Improved YOLOv8[J].Software Guide,2024,23(11):200-205. DOI： 10.11907/rjdk.232108.

  •  
  •  

0

Views

139

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Lightweight Detection Algorithm for Tibetan Medicinal Plants Based on Improved YOLOv8
Improved Urban Plant Detection Algorithm Based on YOLOv7-Tiny

Related Author

LUO Zhiling
LI Dong
LIU Xiaojing
QI Xinlong
HUANG Wanpeng
WEN Jinlong
DING Yufeng

Related Institution

School of Computer Technology and Application， Qinghai University
School of Mechanical & Electrical Engineering， Wuhan University of Technology
0