The Dataset

The (Land Cover from Aerial Imagery) dataset is a dataset for automatic mapping of buildings, woodlands, water and roads from aerial images.

Dataset features

  • land cover from Poland, Central Europe 1
  • three spectral bands - RGB
  • 33 orthophotos with 25 cm per pixel resolution (~9000x9500 px)
  • 8 orthophotos with 50 cm per pixel resolution (~4200x4700 px)
  • total area of 216.27 km2

Dataset format

  • rasters are three-channel GeoTiffs with EPSG:2180 spatial reference system
  • masks are single-channel GeoTiffs with EPSG:2180 spatial reference system

  1. Image source: Head Office of Geodesy and Cartography, Poland ↩︎

Reproduce and compare

We provide to split images into 512x512 pieces, and following files: train.txt, val.txt and test.txt containing lists of pieces used for training, validation and testing respectively.


Version 1

We added roads and refined some annotations.

  • classes: building (1), woodland (2), water(3), road(4)
  • areas: 1.85 km2 of buildings, 72.02 km2 of woodlands, 13.15 km2 of water, 3.5 km2 of roads

Paper Download

Version 0

Note: This version was not peer reviewed and has not been officially published. If possible, please use updated Version 1.

  • classes: building (1), woodland (2), water(3)
  • areas: 1.85 km2 of buildings, 72.22 km2 of woodlands, 13.25 km2 of water

Paper Download


To cite our work, please use the following:

    author = {Boguszewski, Adrian and Batorski, Dominik and Ziemba-Jankowska, Natalia and Dziedzic, Tomasz and Zambrzycka, Anna},
    title = { Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
    month = {June},
    year = {2021},
    pages = {1102-1110}



If you encounter any problem or have any feedback, please contact