Historical City Maps Semantic Segmentation Dataset

This dataset includes a total of 635 annotated image patches from historical city maps. It is designed for the semantic segmentation of the maps into 5 semantic classes (building blocks, non-built, water, road network, background frame). 330 patches are taken from maps of the city of Paris, while the 305 others are taken from a balanced corpus of city maps from 90 countries all around the world. Please read the detailed informations about data collection methodology, associated metadata and annotation ontology in README.md hereunder :

Related Organizations

École Polytechnique Fédérale de Lausanne EPFL
Switzerland

Keywords

historical maps, urban history, digital humanities, document processing, semantic segmentation, computer vision

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