MapReader

MapReader is an end-to-end computer vision (CV) pipeline for exploring and analyzing images at scale.
MapReader was developed in the Living with Machines project to analyze large collections of historical maps but is a generalisable computer vision pipeline which can be applied to any images in a wide variety of domains. See Gallery for some examples.

Category:

Additional information

Status

Team/Department

Collab with

Multiple Partners

Category

Code Location

Outcome

New Tool

IT Lead (External)

Kasra Hosseini

Other People

Daniel C. S. Wilson, Kaspar Beelen and Katherine McDonough

Project Goal

MapReader is an end-to-end computer vision (CV) pipeline for exploring and analyzing images at scale.

Project Info

MapReader was developed in the Living with Machines project to analyze large collections of historical maps but is a generalisable computer vision pipeline which can be applied to any images in a wide variety of domains. See Gallery for some examples.

Re-Usable

Yes, with specific data

Dataset Used

Dataset Notes

25 inches maps that NLS don't have digitised

Funding

LWM funding

External Partners

Alan Turing Institute

Doc. available?

Yes

Doc. Notes

Jupyter Notebooks with several Use Cases: https://github.com/Living-with-machines/MapReader%23use-cases

Online Articles (External)

https://arxiv.org/abs/2111.15592

Scholarly Article?

Kasra Hosseini, Daniel C. S. Wilson, Kaspar Beelen and Katherine McDonough (2021), MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale, arXiv:2111.15592.

Attachments

1

Released

27/04/2022 00:00

Release Version

0.3.3

Released by

Kasra Hosseini