# mapKurator > Wrapper to detect and generate annotations around map labels **Wikidata**: [Q124558370](https://www.wikidata.org/wiki/Q124558370) **Source**: https://4ort.xyz/entity/mapkurator ## Summary MapKurator is a software tool designed as a wrapper to detect and generate annotations around map labels, helping with map reading by automatically identifying and marking map labels. ## Key Facts - MapKurator is a software tool (instance_of: software, sitelink_count: 169) that detects and generates annotations around map labels - It is copyrighted (copyright_status: copyrighted) and published by the Knowledge Computing Lab - The current stable version is 1.3, released on 2023-06-01 - It is part of the "Machines Reading Maps" initiative - It has aliases including "map kurator tool" and "map-kurator" - The website is https://knowledge-computing.github.io/mapkurator-doc/#/ - It has source code repositories on GitHub at https://github.com/machines-reading-maps/map-kurator and https://github.com/knowledge-computing/mapkurator-system - The tool is described at https://knowledge-computing.github.io/research.html#mapKurator and https://knowledge-computing.github.io/mapkurator-doc/#/ - The software is used for map reading (use: map reading) ## FAQs - What is the purpose of mapKurator? It serves as a wrapper to detect and generate annotations around map labels, assisting with map reading by automatically identifying and marking map labels. - What is the current stable version and when was it released? The current stable version is 1.3, released on 2023-06-01. - Who publishes and develops mapKurator? It is published by the Knowledge Computing Lab and developed under the Machines Reading Maps initiative. - Where can I find the source code? The source code is available on GitHub at https://github.com/machines-reading-maps/map-kurator and https://github.com/knowledge-computing/mapkurator-system. - What languages is mapKurator described in? The tool is described in English at the provided URLs. ## Why It Matters MapKurator addresses the challenge of automatically identifying and annotating map labels, which is crucial for digital humanities, historical research, and geographic information systems. By providing automated annotation capabilities, it helps researchers and scholars analyze historical maps more efficiently, extract spatial information, and create machine-readable map data. This technology bridges the gap between traditional cartographic analysis and modern computational methods, enabling large-scale processing of map collections and facilitating cross-disciplinary research in history, geography, and computer science. ## Notable For - It is specifically designed as a wrapper to detect and generate annotations around map labels, distinguishing it from general image annotation tools - The 1.3 version represents a stable release with documented release notes and versioning - It operates within the broader "Machines Reading Maps" initiative, positioning it as part of a larger research effort in automated map analysis - The tool provides both documentation and research information at dedicated URLs, supporting both practical application and academic research ## Body ### Overview MapKurator is a specialized software tool designed to detect and generate annotations around map labels. It functions as a wrapper that processes map images to identify text elements and create corresponding annotations. The primary purpose is to assist with map reading by making map labels machine-readable and analyzable. ### Development and Versioning MapKurator is developed under the Machines Reading Maps initiative and is published by the Knowledge Computing Lab. The software has undergone versioning with the current stable release being version 1.3. This version was released on June 1, 2023, as indicated by the publication date. The version history includes references to release notes and documentation, with the latest reference dated February 17, 2024. ### Technical Architecture The tool's architecture is designed to process map images and identify text elements. It operates as a wrapper that can be integrated into larger workflows for map analysis. The software is available through multiple GitHub repositories, indicating different development branches or components. ### Documentation and Resources MapKurator provides comprehensive documentation at https://knowledge-computing.github.io/mapkurator-doc/#/. This documentation serves both users and researchers, explaining the tool's functionality and usage. The research page at https://knowledge-computing.github.io/research.html#mapKurator offers additional context about the project's goals and contributions to the field. ### Publisher and Organization The Knowledge Computing Lab serves as the publisher and maintainer of MapKurator. This organization is likely affiliated with academic or research institutions, given the nature of the software and its connection to the Machines Reading Maps initiative. ### Related Projects and Entities MapKurator is part of the broader "Machines Reading Maps" initiative, which focuses on developing computational methods for analyzing historical maps. The software has connections to the David Rumsey Historical Map Collection, one of the world's largest private map collections, suggesting potential applications or collaborations in processing this extensive map repository. ### Usage and Applications The primary use case for MapKurator is map reading, specifically helping users identify and understand map labels. The tool can be applied in various contexts including historical research, geographic information systems, and digital humanities projects. By generating annotations around map labels, it enables more efficient analysis of spatial information and textual content on maps. ### Technical Details The software is copyrighted, indicating proprietary or institutional ownership. The tool is available through multiple GitHub repositories, with different URLs pointing to different aspects of the project. The documentation and research pages are both available in English, as indicated by the language qualifiers in the structured properties. ## References 1. [Release 1.3. 2023](https://github.com/knowledge-computing/mapkurator-system/releases/tag/v1.3) 2. [Source](https://api.github.com/repos/knowledge-computing/mapkurator-system)