Multi-defect type beam bridge dataset: GYU-DET

Abstract This paper proposes the GYU-DET dataset for bridge surface defect detection, aiming to address the limitations of existing datasets in terms of scale, annotation accuracy, and environmental diversity. The GYU-DET dataset includes six types of defects: cracks, spalling, seepage, honeycomb su...

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Bibliographic Details
Main Authors: Ruiping Li, Linchang Zhao, Hao Wei, Guoqing Hu, Yongchi Xu, Bocheng Ouyang, Jin Tan
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-05395-w
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