About mapKurator System

[New]: Our documentation website for mapKurator system is up! https://knowledge-computing.github.io/mapkurator-doc/

mapKurator is a fully automatic pipeline developed by the Knowledge Computing Lab at the University of Minnesota to process a large number of scanned historical map images. Outputs include the recognized text labels, label bounding polygons, labels after post-OCR correction, and a geo-entity identifier from OpenStreetMap.

mapKurator textspotter repository

Please refer to this link to check all the spotter models in mapKurator : Spotter-v2, PALETTE

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Data Card - Derived Dataset Processed by mapKurator System

Map text recognized from the Rumsey historical map collection with 57K georeferenced maps.

Dataset Download Link

Contact Zekun (li002666@umn.edu) or Yijun (lin00786@umn.edu) for the data.

Dataset Languages

English

Language Creators:

Machine-generated

Dataset Structure

Data Fields

Output File Name

Output GeoJSON file is named after the external ID of original map image.

Citation

@inproceedings{kim2023mapkurator,
  title={The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps},
  author={Kim, Jina and Li, Zekun and Lin, Yijun and Namgung, Min and Jang, Leeje and Chiang, Yao-Yi},
  booktitle={Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems},
  pages={1--4},
  year={2023}
}

Licensing Information

CC BY-NC 2.0