#building segmentation

Building Footprint Detection/Segmentation in Africa

Building footprints for Africa are mainly available via the Google Open Buildings and Microsoft Building Footprints datasets. Both are known to be of limited accuracy and hard to refresh due to the very high cost associated with VHR imagery at a continental scale. The African Building Foot-Print (ABFP) layer of Atlas AI is a low-cost alternative computed from high-resolution multispectral base-map imagery refreshed on a monthly basis.

The images showcase the results on model inference over Nairobi, Kenya. The colored heat map shows model confidence, and white polygons infused, show the corresponding findings from the Google Open Buildings dataset. Both results are superimposed on Airbus VHR imagery over the targeted area.

Note the frequency of regions in the ABFP heat map for which no white polygons are present.