At the beginning of 2018 our team and the World Bank ran a project of identification on high-voltage, infrastructure for developing countries, Pakistan, Zambia, and Nigeria.

The strategy was, running an machine learning (ML) to identify tower across of those 3 countries and then we jump to map those places, this was a really challenging work, making the organization of the resources in ML and on the Mapping side.

We completed the work in around 2,540,099 km² in approximately 132 days, editing 131,832 objects in OpenStreetMap.

Before (yelow color) and after (green color) of Pakistan HV infraestructure.