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.
Mission | ArchImageLib: libraries of annotated and unannotated image data of masonry railway bridges and viaducts
Cite This Data:
Brackenbury, D., S. Cocking, M. DeJong (2025). "ArchImageLib: libraries of annotated and unannotated image data of masonry railway bridges and viaducts", in Automating inspection and damage classification of ageing masonry railway bridges and viaducts . DesignSafe-CI. https://doi.org/10.17603/ds2-5ee0-dw76
Hide Data
Date(s)
2016-10-28 ― 2019-06-05
Author(s)
; ;
Facility
NRFIS - National Research Facility for Infrastructure Sensing - University of Cambridge, UK
Date Published
2025-02-21
DOI
10.17603/ds2-5ee0-dw76
License
Open Data Commons Attribution
Description:
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.
Research Planning Collection | Project Description
Data Collectors
Description:
This collection includes the readme file for the 'ArchImageLib' dataset, which summarises the 13 bridges and viaducts at which data have been recorded.
File Name
Project description
Engineering/Geosciences Collection | Annotated Image Data
Observation Type(s)
Structural
Date(s) of Collection
2016-10-28 ― 2019-06-05
Data Collectors
Equipment
(1) Cannon EOS 7D Mark II: 20 MP APS-C sensor, (2) Sony Alpha 7R II: 42.2 MP full-frame Exmor R CMOS sensor, and (3) JVC GC-PX10: 12 MP 1/2.3” back-side illuminated CMOS sensor
Description:
These images have been processed to generate annotations, covering mortar joints and damage including cracking, spalling, mortar loss, and vegetation. Examples of annotations are shown in this dataset's readme file.
Engineering/Geosciences Collection | Unannotated Image Data
Observation Type(s)
Structural
Date(s) of Collection
2016-10-28 ― 2019-06-05
Data Collectors
; ;
Equipment
(1) Cannon EOS 7D Mark II: 20 MP APS-C sensor, (2) Sony Alpha 7R II: 42.2 MP full-frame Exmor R CMOS sensor, (3) JVC GC-PX10: 12 MP 1/2.3” back-side illuminated CMOS sensor
Description:
Unannotated image data for 13 masonry arch railway bridges and viaducts in the UK, the locations of which are shown in this dataset's readme file. Overall, this collection includes data from 44 surveyed arch spans and a total surface area of masonry of approximately 15,300 square meters. The masonry present in a range of structural conditions.
