machine learning

It was a privilege to contribute as a panel member at the ECDPM event on “AI for Social Good and Africa’s Strategic Choices”! It was a critical conversation about balancing AI innovation with the governance and strategic choices necessary for Africa’s equitable development. Thank you to my fellow panelists for the rigorous exchange: Melody Musoni, PhD, Jane Munga, Amb - Prof Bitange Ndemo, and Maja Fjaestad. And special thanks to Chloe Teevan for moderating!

Machine learning data for natural scenes and underrepresented landscapes

We present an analysis ready segmentation dataset of street level images of natural underrepresented landscapes for use in earth observation based products.

BlueGreen Labs provided data management and machine learning software development expertise for the EU Joint Research Center (EU JRC) within the context of a landscape image segmentation project.

Adding UAV / drone capabilities to our services

We provide what is asked, but also what is needed

ETH students present their final pro-bono machine learning solutions

Automatically recognizing historical climate data entries

BlueGreen Labs has expert knowledge on (citizen science based) data recovery. In particular, we led the COBECORE project to develop a multi-faceted database by making the archives of the Institut National pour l’Etude Agronomique du Congo belge digitally accessible.

A machine learning dataset linking ground based cellphone images with ancillary data-streams