Research on a Lightweight Weld Defect Detection Model Based on the Improved YOLOv12

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更新时间：2026-07-30

- Research on a Lightweight Weld Defect Detection Model Based on the Improved YOLOv12
- Software Guide Pages: 1-9(2026)
- 作者机构：
  
  1.广州建筑产业研究院有限公司，广东广州 510663
  2.广州建筑股份有限公司，广东广州 510288
  3.广州建筑产业开发有限公司，广东广州 223456
  4.山东大学齐鲁交通学院，山东济南 250061
  5.山东农业大学水利土木工程学院，山东泰安 271000
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.251628
  CLC： TP399
- Received：21 November 2025，
  
  Online First：30 July 2026，
- 稿件说明：
移动端阅览
QI Yuliang, HUANG Keke, WANG Jianbo, et al. Research on a Lightweight Weld Defect Detection Model Based on the Improved YOLOv12[J/OL]. Software Guide, 2026, 1-9.
DOI：

QI Yuliang, HUANG Keke, WANG Jianbo, et al. Research on a Lightweight Weld Defect Detection Model Based on the Improved YOLOv12[J/OL]. Software Guide, 2026, 1-9. DOI： 10.11907/rjdk.251628.

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