Building Surface Defect Detection Based on Improved YOLOv8

In intelligent building, efficient surface defect detection is crucial for structural safety and maintenance quality. Traditional methods face three challenges in complex scenarios: locating defect features accurately due to multi-scale texture and background interference, missing fine cracks becaus...

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Bibliographic Details
Published in:Buildings
Main Authors: Xiaoxia Lin, Yingzhou Meng, Lin Sun, Xiaodong Yang, Chunwei Leng, Yan Li, Zhenyu Niu, Weihao Gong, Xinyue Xiao
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Subjects:
building surface defect detection
YOLOv8
feature fusion
normalization-based attention
deformable convolution
Online Access:https://www.mdpi.com/2075-5309/15/11/1865

Internet

https://www.mdpi.com/2075-5309/15/11/1865

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