This paper summarizes ongoing work on a project to create a database of digital images of historic bridges, each with extensive accompanying metadata and linked open data (LOD) identifiers. The database currently consists of 4800+ curated images of historic American and Canadian highway, railway and pedestrian bridges constructed between 1865 and 2019. The images are being used concurrently to develop computer vision, machine learning and image processing techniques to support a variety of tasks in historic conservation and preservation, research in the history of technology and engineering, and teaching in digital humanities and other fields.