Published date: 12 January 2017
Closed opportunity - This means that the contract is currently closed. The buying department may be considering suppliers that have already applied, or no suitable offers were made.
Contract summary
Industry
Research and experimental development services - 73100000
Location of contract
South West
Value of contract
£10,000 to £113,000
Procurement reference
BIP50720522
Published date
12 January 2017
Closing date
16 January 2017
Contract start date
17 January 2017
Contract end date
7 March 2017
Contract type
Service contract
Procedure type
Open procedure
Any interested supplier may submit a tender in response to an opportunity notice.
Contract is suitable for SMEs?
Yes
Contract is suitable for VCSEs?
No
Description
FOR FULL COMPETITION DETAILS PLEASE VIEW THE KAGGLE WEBSITE: https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection
As these large, complex datasets continue to increase exponentially in number, the Defence Science and Technology Laboratory (Dstl) is seeking novel solutions to alleviate the burden on their image analysts. In this competition, Kagglers are challenged to accurately classify features in overhead imagery. Automating feature labeling will not only help Dstl make smart decisions more quickly around the defense and security of the UK, but also bring innovation to computer vision methodologies applied to satellite imagery.
In a UK first, the Defence Science and Technology Laboratory (Dstl) has announced that it is working with Kaggle, the world's largest data science competition community, to source innovative solutions to help intelligence analysts evaluate information more quickly, accurately and effectively. The competition, with a prize fund of $100,000, is seeking 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 10 features and objects, such as cars, trees and buildings in a variety of environments. The project has the potential to identify solutions which will greatly improve satellite intelligence gathering and analysis capability.
Minister for Defence Procurement Harriett Baldwin said:
The UK must innovate to stay ahead, while developing the ability to harness entrepreneurship quickly and affordably, wherever it emerges.
This kind of joint crowdsourcing project is precisely what the Ministry of Defence's new Innovation Initiative aims to encourage: strengthening and streamlining collaboration with both new and established partners.
The MOD's new Innovation Fund of around £800 million over ten years will support fresh and innovative ideas from across and beyond the Defence sector.
With a rising Defence budget, and a £178 billion equipment plan, our commitment to innovation and collaboration will deliver a safer and more prosperous Britain.
Entries will be submitted online and will be scored immediately. The results will be summarised on a live leader board. The best three entries will receive a share of the $100,000 prize fund. The first prize is $50,000, the second $30,000 and third $20,000. The competition will run from 14 Dec 2016 until 08 March 2017. The winner will be announced in the spring 2017.
More information
Additional text
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To view this notice, register as a supplier here:
http://www.contracts.mod.uk/delta/signup.html?userType=supplier
and search for the notice with reference 'GB-Salisbury: Dstl Satellite Imagery Feature Detection'.
About the buyer
Contact name
Mat van Leuven
Address
Bldg 5, Rm G02-D
Dstl Porton Down
Salisbury
SP4 0JQ
UK
Telephone
+441980952684
Share this notice
Closing: 16 January 2017
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