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In this article, we focus on the technical aspects of the machine learning solution we implemented for the xView2 competition. We used PyTorch to build...

Satellite Image Analysis with fast.ai for Disaster Recovery

Satellite Image Analysis with fast.ai for Disaster Recovery
In this article, we focus on the technical aspects of the machine learning solution we implemented for the xView2 competition. We used PyTorch to build our models for satellite image analysis and fast.ai to develop their critical parts.
 27 April 2020
As part of our AI4G Initiative and with the support of a Google grant, Appsilon Data Science will be contributing to to the work of...

AI for Good: ML Wildlife Image Classification to Analyze Camera Trap Datasets

AI for Good: ML Wildlife Image Classification to Analyze Camera Trap Datasets
As part of our AI4G 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...

Using AI to Identify Wildlife in Camera Trap Images from the Serengeti

Using AI to Identify Wildlife in Camera Trap Images from the Serengeti
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...
 30 January 2020