microsoft/KenyaNigeriaBuildingFootprints

Releasing building footprint polygons for Kenya and Nigeria derived from satellite imagery using machine learning ## Introduction Bing Maps is releasing open building footprints Nigeria and Kenya. We have detected 50.5 million buildings from Maxar imagery collected between 2020 and 2021. The data is freely available for download and use under applicable license. ### Regions included ## License This data is licensed by Microsoft under the Open Data Commons Open Database License (ODbL). ## FAQ ### What does the data include? 50,516,194 building footprint polygon geometries located in Kenya and Nigeria in line-delimited GeoJSON format. You may download the data in GeoJSON format here: | Location | Building Count | Link | Size (Compressed) | | :---: | :---: | :---: | :---: | | Nigeria | 35,767,509 | Nigeria.geojsonl.zip | 2.3GB | | Kenya | 14,748,685 | Kenya.geojsonl.zip | 984MB | ### What is the GeoJSON format? GeoJSON is a format for encoding a variety of geographic data structures. For intensive documentation and tutorials, refer to GeoJson blog. ### Why is the data being released? Microsoft has a continued interest in supporting a thriving OpenStreetMap ecosystem. ### Should we import the data into OpenStreetMap? Maybe. Never overwrite the hard work of other contributors or blindly import data into OSM without first checking the local quality. While our metrics show that this data meets or exceeds the quality of hand-drawn building footprints, the data does vary in quality from place to place, between rural and urban, mountains and plains, and so on. Inspect quality locally and discuss an import plan with the community. Always follow the OSM import community guidelines. ### Will the data be used or made available in larger OpenStreetMap ecosystem? Yes. Currently Microsoft Open Buildings dataset is used in ml-enabler for task creation. You can try it out at AI assisted Tasking Manager. The data will also be made available in Facebook RapiD. ### How did we create the data? The building extraction is done in two stages: 1. Semantic Segmentation – Recognizing buildin …