Tender

GB-Salisbury: Dstl Satellite Imagery Feature Detection

DEFENCE SCIENCE & TECHNOLOGY LABORATORY (DSTL)

This public procurement record has 1 release in its history.

Tender

12 Jan 2017 at 09:33

Tender Notice
Summary of the contracting process

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.

Find more tenders on our Open Data Platform.
How relevant is this notice?

D3 Tenders Premium

Win More Public Sector Contracts

AI-powered tender discovery, pipeline management, and market intelligence — everything you need to grow your public sector business.

Start Free Trial Book a Demo
All Features Pricing

Notice Information

Notice Title

GB-Salisbury: Dstl Satellite Imagery Feature Detection

Notice 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 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'.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/f24136b2-f8d9-4abb-89b7-6c1c4a9e18c1
Current Stage
Tender
All Stages
Tender

Procurement Classification

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

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services

CPV Codes

73100000 - Research and experimental development services

Notice Value(s)

Tender Value
£113,000 £100K-£500K
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
12 Jan 20179 years ago
Submission Deadline
16 Jan 2017Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
17 Jan 2017 - 7 Mar 2017 1-6 months
Recurrence
Not specified

Notice Status

Tender Status
Active
Lots Status
Not Specified
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
DEFENCE SCIENCE & TECHNOLOGY LABORATORY (DSTL)
Contact Name
Mat van Leuven
Contact Email
jmvleuven@dstl.gov.uk
Contact Phone
+441980952684

Buyer Location

Locality
SALISBURY
Postcode
SP4 0JQ
Post Town
Salisbury
Country
England
Major Region (ITL 1)
TLK South West (England)
Basic Region (ITL 2)
TLK7 Gloucestershire and Wiltshire
Small Region (ITL 3)
TLK72 Wiltshire
Delivery Location
TLK South West (England)
Local Authority
Wiltshire
Electoral Ward
Winterslow & Upper Bourne Valley
Westminster Constituency
Salisbury

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

Download

The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

{
    "tag": [
        "compiled"
    ],
    "id": "ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613-2017-01-12T09:33:02Z",
    "date": "2017-01-12T09:33:02Z",
    "ocid": "ocds-b5fd17-bf56c979-9772-4e14-91f5-e2186138f613",
    "language": "en",
    "initiationType": "tender",
    "tender": {
        "id": "BIP50720522",
        "title": "GB-Salisbury: Dstl Satellite Imagery Feature Detection",
        "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 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'.",
        "datePublished": "2017-01-12T09:33:02Z",
        "status": "active",
        "classification": {
            "scheme": "CPV",
            "id": "73100000",
            "description": "Research and experimental development services"
        },
        "items": [
            {
                "id": "1",
                "deliveryAddresses": [
                    {
                        "region": "South West",
                        "countryName": "United Kingdom"
                    }
                ]
            }
        ],
        "minValue": {
            "amount": 10000,
            "currency": "GBP"
        },
        "value": {
            "amount": 113000,
            "currency": "GBP"
        },
        "procurementMethod": "open",
        "procurementMethodDetails": "Open procedure",
        "tenderPeriod": {
            "endDate": "2017-01-16T23:59:59Z"
        },
        "contractPeriod": {
            "startDate": "2017-01-17T00:00:00Z",
            "endDate": "2017-03-07T23:59:59Z"
        },
        "suitability": {
            "sme": true,
            "vcse": false
        },
        "mainProcurementCategory": "services",
        "documents": [
            {
                "id": "1",
                "documentType": "tenderNotice",
                "description": "Opportunity notice on Contracts Finder",
                "url": "https://www.contractsfinder.service.gov.uk/Notice/f24136b2-f8d9-4abb-89b7-6c1c4a9e18c1",
                "datePublished": "2017-01-12T09:33:02Z",
                "format": "text/html",
                "language": "en"
            }
        ]
    },
    "parties": [
        {
            "id": "GB-CFS-33988",
            "name": "Defence Science & Technology Laboratory (DSTL)",
            "identifier": {
                "legalName": "Defence Science & Technology Laboratory (DSTL)"
            },
            "address": {
                "streetAddress": "Bldg 5, Rm G02-D, Dstl Porton Down",
                "locality": "Salisbury",
                "postalCode": "SP4 0JQ",
                "countryName": "UK"
            },
            "contactPoint": {
                "name": "Mat van Leuven",
                "email": "jmvleuven@dstl.gov.uk",
                "telephone": "+441980952684"
            },
            "roles": [
                "buyer"
            ]
        }
    ],
    "buyer": {
        "id": "GB-CFS-33988",
        "name": "Defence Science & Technology Laboratory (DSTL)"
    }
}