--- title: "GB-Salisbury: Dstl Satellite Imagery Feature Detection" ocid: "ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613.json" source: "Contracts Finder" current_stage: "Tender" buyer: "DEFENCE SCIENCE & TECHNOLOGY LABORATORY (DSTL)" published: "2017-01-12" --- # GB-Salisbury: Dstl Satellite Imagery Feature Detection Buyer: DEFENCE SCIENCE & TECHNOLOGY LABORATORY (DSTL) Current stage: Tender OCID: ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613 [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613.json) ## Summary The Defence Science and Technology Laboratory (Dstl) is currently conducting a tender titled "GB-Salisbury: Dstl Satellite Imagery Feature Detection," focusing on research and experimental development services. This opportunity is based in Salisbury, United Kingdom, and is at the active tender stage. The tender period ends on 16th January 2017, while the contract period is set to start from 17th January 2017 and will last until 7th March 2017. The procurement method is an open procedure with a total value of £113,000 and a minimum value of £10,000. This tender offers significant opportunities for businesses specialising in data analysis, computer vision, and software development. Companies that can develop algorithms for automating the identification of objects in satellite imagery would be well-positioned to compete. Given the Defence sector's investment in innovation and the sizable prize fund of $100,000, this competition encourages both new and established firms to engage and potentially collaborate with the Dstl, contributing to advancements in satellite intelligence gathering and analysis. ## Notice 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 PS800 million over ten years will support fresh and innovative ideas from across and beyond the Defence sector. With a rising Defence budget, and a PS178 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. Additional information: 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'. ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/f24136b2-f8d9-4abb-89b7-6c1c4a9e18c1 | | Notice type | Tender Notice | | Procurement type | Standard | | Procurement category | Services | | Procurement method | Open | | Procurement method details | Open procedure | | Tender suitability | SME | | Awardee scale | Not specified | | All stages | Tender | ## Dates | Field | Value | | --- | --- | | Publication date | 12 Jan 2017 | | Submission deadline | 16 Jan 2017 | | Future notice date | Not specified | | Award date | Not specified | | Contract period | 17 Jan 2017 - 7 Mar 2017 | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | £113,000 | | Lots value | Not specified | | Awards value | Not specified | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Active | | Lots status | Not specified | | Awards status | Not specified | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | DEFENCE SCIENCE & TECHNOLOGY LABORATORY (DSTL) | | Locality | SALISBURY | | Post town | Salisbury | | Postcode | SP4 0JQ | | Country | England | | ITL 1 | TLK South West (England) | | ITL 2 | TLK7 Gloucestershire and Wiltshire | | ITL 3 | TLK72 Wiltshire | | Local authority | Wiltshire | | Electoral ward | Winterslow & Upper Bourne Valley | | Westminster constituency | Salisbury | | Delivery location | TLK South West (England) | ## CPV Codes ### Divisions - 73 - Research and development services and related consultancy services ### Codes - 73100000 - Research and experimental development services ## Release History - 12 Jan 2017 at 09:33 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/f24136b2-f8d9-4abb-89b7-6c1c4a9e18c1 ## Documents - https://www.contractsfinder.service.gov.uk/Notice/f24136b2-f8d9-4abb-89b7-6c1c4a9e18c1 12th January 2017 - Opportunity notice on Contracts Finder ## Notice URLs - http://www.contracts.mod.uk/delta/signup.html?userType=supplier - https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613.json.