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rwood-97 committed Oct 1, 2024
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Expand Up @@ -13,9 +13,9 @@ MapReader was developed in the `Living with Machines <https://livingwithmachines
Origin of MapReader
-------------------

MapReader is a groundbreaking interdisciplinary tool that emerged from a specific set of geospatial historical research questions.
The classification pipeline was inspired by methods in biomedical imaging and geographic information science, which were adapted for use by historians, for example in our `Journal of Victorian Culture <https://doi.org/10.1093/jvcult/vcab009>`__ and `Geospatial Humanities 2022 SIGSPATIAL workshop <https://arxiv.org/abs/2111.15592>`__ papers.
The success of the tool subsequently generated interest from plant phenotype researchers working with large image datasets, and so MapReader is an example of cross-pollination between the humanities and the sciences made possible by reproducible data science.
MapReader was a groundbreaking interdisciplinary tool that emerged from a specific set of geospatial historical research questions.
The classification pipeline was inspired by methods in biomedical imaging and geographic information science, which were adapted for use by historians - for example in our `Journal of Victorian Culture <https://doi.org/10.1093/jvcult/vcab009>`__ and `Geospatial Humanities 2022 SIGSPATIAL workshop <https://arxiv.org/abs/2111.15592>`__ papers.
The success of the tool subsequently generated interest from plant phenotype researchers working with large image datasets and so MapReader is an example of cross-pollination between the humanities and the sciences made possible by reproducible data science.

Since then, MapReader has expanded to include a text spotting pipeline, which enables users to detect and recognize text in map images.

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What is 'the MapReader pipeline'?
---------------------------------

MapReader now contains two different pipelines:
MapReader contains two different pipelines:

- Classification pipeline: This pipeline enables users to fine-tune a classification model and predict the labels of patches created from a parent image.
- Text spotting pipeline: This pipeline enables users to detect and recognize text in map images.
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