LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery. (arXiv:2005.02264v4 [cs.CV] UPDATED)

Monitoring of land cover and land use is crucial in natural resources
management. Automatic visual mapping can carry enormous economic value for
agriculture, forestry, or public administration. Satellite or aerial images
combined with computer vision and deep learning enable precise assessment and
can significantly speed up change detection. Aerial imagery usually provides
images with much higher pixel resolution than satellite data allowing more
detailed mapping. However, there is still a lack of aerial datasets made for
the segmentation, covering rural …

ai arxiv buildings cv dataset mapping water