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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
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
Building Deep Learning vision models satellite imagery to assist in identifying and labeling property damage from natural disasters.

AI for assisting in natural disaster relief efforts: the xView2 competition

AI for assisting in natural disaster relief efforts: the xView2 competition
Building Deep Learning vision models satellite imagery to assist in identifying and labeling property damage from natural disasters.
 23 December 2019
Appsilon Data Science
Appsilon Data Science

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