遇见数据集

ArchImageLib: libraries of annotated and unannotated image data of masonry railway bridges and viaducts

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DataCite Commons2025-06-02 更新2025-04-16 收录
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This 'ArchImageLib' dataset contains image data for 13 masonry arch railway bridges and viaducts in the UK. Overall, it includes 44 surveyed arch spans and a total surface area of masonry of approximately 15,300 square meters. A subset of the images has been processed to generate annotations, capturing mortar joints and damage including cracking, spalling, mortar loss, and vegetation. These bridges and viaducts present in a range of structural conditions, and the dataset therefore presents a valuable resource for the training and validation of algorithms for automated inspection and damage classification. Given the increasing threats to ageing masonry infrastructure from extreme loading, including climate-driven wind and flood loading, the development of such algorithms is critical to safeguarding these assets for future generations.

本"ArchImageLib"数据集收录了英国境内13座砖石拱铁路桥梁及高架桥的图像数据。整体而言,该数据集涵盖44个已勘测的拱跨,砖石结构总表面积约15300平方米。其中部分图像子集已完成标注处理,标注内容包含灰缝以及裂缝、剥落、灰浆流失、植被滋生等病害类型。这批桥梁与高架桥呈现出多样的结构状态,因此该数据集可为自动化巡检与病害分类算法的训练与验证提供极具价值的研究资源。鉴于极端荷载(包括气候驱动的风力与洪水荷载)对老化砖石基础设施的威胁与日俱增,开发此类算法对于为后世守护这类基础设施资产至关重要。

提供机构:
Designsafe-CI
创建时间:
2025-02-21
搜集汇总
背景与挑战
背景概述
ArchImageLib数据集包含英国13座砖石铁路桥梁和拱桥的图像数据,覆盖44个拱跨和约15,300平方米砖石表面,部分图像已标注砂浆接缝及损坏(如裂缝、剥落等)。该数据集桥梁结构状况多样,为自动化检测和损坏分类算法提供了宝贵的训练与验证资源,有助于应对老化基础设施在极端荷载下的威胁,支持未来资产保护。
以上内容由遇见数据集搜集并总结生成
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