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MapReader: Open software for the visual analysis of maps

Year: 2024
Type: article
Abstract: 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.
DOI: 10.21105/joss.06434
Authors: Rosie Wood, Kasra Hosseini, Kalle Westerling, Andrew Smith, Kaspar Beelen, Daniel C. S. Wilson, Katherine McDonough
Language: English
Open Access status: diamond
Awards: G1309768829, G1633672591, Data/Culture. Building sustainable communities around Arts and Humanities datasets and software, Living with Machines, G3855435662, G444630160, The Alan Turing Institute, G6622157979, G7651018554, G8581904048
OpenAlex ID: W4402890261
FWCI: 0.281
Cites: 7
Cited by: 2
Related to: 10