MapReader: Open software for the visual analysis ofmaps
MapReader is an interdisciplinary software library for processing digitized maps (Hosseini et al., 2022a) and other types of images with two tasks: patch classification and text spotting.Patch classification works by 'patching' images into small, custom-sized cells which are then classified according to the user's needs.Text spotting detects and recognizes text.MapReader offers a flexible pipeline which can be used both for manual annotation of small datasets as well as for computer-vision-based inference of large collections.As an example, in Hosseini et al. (2022a), we annotated 62,020 patches, trained a suite of computer vision models and performed model inference on approximately 30.5 million patches.
Authors
- Rosie Wood (ORCID: https://orcid.org/0000-0003-1623-1949)
- Katherine McDonough (ORCID: https://orcid.org/0000-0001-7506-1025)
- Daniel Wilson (ORCID: https://orcid.org/0000-0001-6886-775X)
- Kasra Hosseini (ORCID: https://orcid.org/0000-0003-4396-6019)
- Kaspar Beelen (ORCID: https://orcid.org/0000-0001-7331-1174)
- Kalle Westerling (ORCID: https://orcid.org/0000-0002-2014-332X)
- A. Smith (ORCID: https://orcid.org/0000-0002-4465-2284)
Publication Details
- Journal
- The Journal of Open Source Software
- Published
- 2024-09-26
- DOI
- https://doi.org/10.21105/joss.06434
- Citations
- 1
- Primary Topic
- Geographic Information Systems Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.96
Funders
- Alan Turing Institute
- UK Research and Innovation
- Arts and Humanities Research Council
- Engineering and Physical Sciences Research Council