WDNET-YOLO: Enhanced Deep Learning for Structural Timber Defect Detection to Improve Building Safety and Reliability

WDNET-YOLO: Enhanced Deep Learning for Structural Timber Defect Detection to Improve Building Safety and Reliability

Structural timber is an important building material, but surface defects such as cracks and knots seriously affect its load-bearing capacity, dimensional stability, and long-term durability, posing a significant risk to structural safety. Conventional inspection methods are unable to address the iss...

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Bibliographic Details
Main Authors: Xiaoxia Lin, Weihao Gong, Lin Sun, Xiaodong Yang, Chunwei Leng, Yan Li, Zhenyu Niu, Yingzhou Meng, Xinyue Xiao, Junyan Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Buildings
Subjects:
structural timber defect detection
timber quality control
YOLOv8
building materials
Online Access:https://www.mdpi.com/2075-5309/15/13/2281
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