
Mbaza AI 2.0 Update – Capturing Biodiversity Data with AI
Mbaza 2.0 takes biodiversity monitoring to the next level!
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Mbaza 2.0 takes biodiversity monitoring to the next level!
Appsilon's ML Team leverages its skillset by using AI to assist wildlife conservation efforts in Gabon.
As part of our D4G Initiative and with the support of a Google grant, Appsilon Data Science will be contributing to to the work of biodiversity conservationists at the National Parks Agency in Gabon in collaboration with the University of Stirling.
We recently took part in Hakuna-ma Data, a competition organised by DrivenData in partnership with Microsoft’s AI for Earth, which asked participants to build an algorithm for wildlife detection that would generalise well across time and locations...