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UK MoD Turns to Crowdsourcing to Improve Satellite Imagery

Dstl and Kaggle to Collaborate

The UK’s Defence Science & Technology Laboratory (Dstl) has announced it is to collaborate with Kaggle in an innovative competition, with a prize fund of US$100,000, to crowdsource solutions to improve satellite imagery and analysis capabilities.  The competition seeks to identify novel methods to evaluate large, complex data sets.


Dstl has challenged users to develop an algorithm or software that will automatically detect and identify objects in satellite images. The challenge is to correctly identify and categorise up to 50 features and objects, such as cars, trees and buildings in a variety of environments.

Entries will be submitted online and will be scored immediately. The results will be summarised on a live leader board. The competition will run until 28 February and the winner will be announced on 8 March 2017.

Kaggle has successfully run over 200 data science competitions: with over 536,000 registered users across 194 countries, it is the largest and most diverse data science community in the world.


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