LandCover.ai

Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery

Dataset Information
Introduced
2020
License
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
Homepage
Official Website
Contents

Overview

The LandCover.ai (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
  • 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 sq. km

Dataset format

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

Variants: LandCover.ai

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

No recent benchmark submissions available for this dataset.

Research Papers

No papers with results on this dataset found.

External Links: