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Brought to you by the LASTIG team of the IGN (the French National Mapping Agency), the R&D Lab. of the EPITA (French engineering school in computer science), and the Center of Historical Studies of the EHESS (French graduate schools of social sciences).
📅 Important dates
|From||To / On||Title||Tasks|
|2020-11-18||Train and validation sets available||all|
|2021-03-31||Registration deadline for competition participants||all|
|2021-04-05||Test datasets available||1|
|2021-04-09||Submission deadline for results||1|
|2021-04-12||Test datasets available||2&3|
|2021-04-16||Submission deadline for results||2&3|
|2021-04-12||2021-04-23||Write short method description||all|
|2021-04-23||Method descriptions due||all|
|2021-07-01||Full data disclosure: Ground truth for test set, participant results||all|
🏆 About the competition 🗺️
This competition consists in solving several challenges which arise during the digitization of historical maps. We are particularly interested in a large map series consisting in many Paris atlases over half a century (1860's-1940's). For each year, a set of approximately 20 sheets forms a tiled view of the city. Such maps are highly detailed and very accurate even by modern standards. The graphical nature of the content is visible in the full map sheet illustrated below.
This material provides a very valuable resource for historians and a rich body of scientific challenges for the document analysis and recognition (DAR) community: map-related challenges (overlapping of many information layers) and document-related ones (document preservation).
We expect this competition to provide solutions for three levels of scientific problems:
- Task 1: Detection of building blocks
- Task 2: Segmentation of map content within map sheets
- Task 3: Localization of graticule lines intersections
These tasks are necessary step during the digitization of historical maps, ie when gradually turning a raster image into a set of vector geometries projected onto a particular geographical coordinate reference system. Automatic approaches with good generalization power will provide an enormous gain for the Geographical Information Systems (GIS) communities looking for solutions when digitizing old maps, and create a great potential for many historical studies.
🚀 Key strengths for participants
- All datasets and evaluation tools are released with an open license as soon as they are available.
- Winners of each task will be invited to co-author the report paper.
- We propose unsolved research problems with an important potential impact.