Shamilah Nassozi
Shamillah Nassozi is a Data Quality Associate working with HOT’s Eastern and Southern Africa Open Mapping Hub. She is passionate about the use of geospatial data in development and disaster response. Shamillah has worked on various field projects at HOT and leads HOT’s technical training on mapping and data quality to community, humanitarian and local government partners in the Eastern and Southern Africa region.
Shamillah
Session
During the 2019-2020 pilot supported by Microsoft, 18 million building footprints were automatically extracted from satellite imagery for all of Tanzania and Uganda. HOT found that on average, mappers working without AI assistance could map between 1000-1500 buildings per working day. For areas with high-quality AI output, providing mappers with AI-generated building footprint suggestions increased this rate to up to 2500-3000 buildings per day approximately doubling the rate at which building data could be added to OpenStreetMap, which is the crucial link for making it available to the humanitarian information management community.