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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| 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
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05395-w |
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