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Machine Learning

iLab Liberia and Humanitarian OpenStreetMap Team (HOT) developed training and reference data for the open Machine Learning Challenge.

Through our activities, we are collected drone imagery for 20 km2 Area; digitizing key infrastructure;  collecting street view imagery generated from road networks using Mapillary technology, and partnered with Facebook to test its collaborative quality control workflow on Artificial Intelligence throughout the project’s Areas of Interest in Monrovia.

The project was part of a larger International Machine Learning challenge to develop open-source algorithms and workflows which can be used to generate further geospatial data for the city using automated techniques.


The Challenge will be an opportunity for local teams to learn about machine learning concepts; to receive training on applying these methodologies locally; and to collaborate with an extended team investigating how this technology can potentially speed up the mapping process, through combining human skills with computer automation. 

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