Award

CEFAS21-99 ITT OCPP Image annotation for machine learning algorithm

DEFRA NETWORK ETENDERING PORTAL

This public procurement record has 1 release in its history.

Award

02 Dec 2021 at 17:13

Award Notice
Summary of the contracting process

The tender titled "CEFAS21-99 ITT OCPP Image annotation for machine learning algorithm" was issued by the Defra Network eTendering Portal, focusing on services within the analysis and data analysis sectors. The procurement method used was an open procedure, and the tender process has now concluded, with the contract awarded on 30 November 2021. It pertains to projects involving the annotation of marine litter images over the contract period from 1 December 2021 to 31 March 2022. The delivery location is situated in the East of England, United Kingdom, with a total contract value of £30,000.

This tender presents an excellent opportunity for businesses specialising in environmental analysis, data processing, and image annotation, particularly those that can manage the large scale of high-resolution image data. Small and medium-sized enterprises (SMEs) would be well-suited to compete, given their agility and innovation in such specialised service provisions. This initiative can foster growth by providing a platform to showcase technological capabilities in machine learning and contribute to environmentally focused projects.

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Notice Information

Notice Title

CEFAS21-99 ITT OCPP Image annotation for machine learning algorithm

Notice Description

The Tenderer will be provided with at least 50 categories of marine litter based on UNEP/IOC Litter Categories (Annex III.1 - https://wedocs.unep.org/handle/20.500.11822/30009), and example images of litter categories will also be provided by Cefas. Cefas require the minimum scope to be based on annotating at least 50 litter categories, using pixelwise segmentation, of at least 5,000 high-resolution Unmanned Aerial Vehicle (UAV) images captured of beaches around the UK.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-12407b8e-361d-4e91-8332-3a15df789a21
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/93a8f85a-952c-42e2-abaa-affb01a34c8e
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure (below threshold)
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

71 - Architectural, construction, engineering and inspection services

72 - IT services: consulting, software development, Internet and support

CPV Codes

71620000 - Analysis services

72316000 - Data analysis services

Notice Value(s)

Tender Value
£30,000 Under £100K
Lots Value
Not specified
Awards Value
£30,000 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
2 Dec 20214 years ago
Submission Deadline
4 Nov 2021Expired
Future Notice Date
Not specified
Award Date
30 Nov 20214 years ago
Contract Period
1 Dec 2021 - 31 Mar 2022 1-6 months
Recurrence
Not specified

Notice Status

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

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
DEFRA NETWORK ETENDERING PORTAL
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LOWESTOFT
Postcode
NR33 0HT
Post Town
Norwich
Country
England
Major Region (ITL 1)
TLH East (England)
Basic Region (ITL 2)
TLH6 Suffolk
Small Region (ITL 3)
TLH63 East Suffolk
Delivery Location
Not specified
Local Authority
East Suffolk
Electoral Ward
Kirkley & Pakefield
Westminster Constituency
Lowestoft

Supplier Information

Number of Suppliers
1
Supplier Name

HITL EOOD

Further Information

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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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. 

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