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GB-Salisbury: Aerial Imagery, Ground Truthing

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What the buyer wrote

Supervised Machine Learning for classification and prediction tasks are of importance to MOD and wider government. Large advances in this area are not only due to access to large and various datasets but also to the known classes and attributes of the data. These labelled classes are required to generate an error function which is used for optimisation purposes to learn and generate classifier models; generally the larger and more various the labelled dataset the higher the accuracy of the trained models. The MOD generates and uses large datasets through sensing the battlefield. Classification algorithms would provide benefit to the analysts by triaging large datasets into smaller priority…

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Details

What the buyer calls it
GB-Salisbury: Aerial Imagery, Ground Truthing
How they are buying
Advertised, shortlist firstSuppliers applied to be considered, and the buyer picked who went on to bid.
Type
services
Suitable for small firms
The buyer says yes. What that is worth
Work starts
7 Mar 2016
Work ends
30 Apr 2016

Who the buyer named

Commercial services was the named contact on this notice.

jpsullivan@dstl.gov.uk