---
license: cc-by-nc-sa-4.0
task_categories:
- image-segmentation
---

# The Dataset

The LandCover.ai (**Land Cover** from **A**erial **I**magery) 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 split.py 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.

# Versions

## Version 1

- 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](https://arxiv.org/abs/2005.02264v4)

# Citation

To cite our work, please use the following:
```
@InProceedings{Boguszewski_2021_CVPR,
    author = {Boguszewski, Adrian and Batorski, Dominik and Ziemba-Jankowska, Natalia and Dziedzic, Tomasz and Zambrzycka, Anna},
    title = {LandCover.ai: 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}
}
```

# License

This dataset is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

# Contact

If you encounter any problem or have any feedback, please contact landcoverai@linuxpolska.pl