Section one: Contracting authority
one.1) Name and addresses
United Kingdom Atomic Energy Authority
Culham Science Centre
Abingdon
OX14 3DB
Contact
Ben Oborne
Country
United Kingdom
NUTS code
UKJ14 - Oxfordshire
National registration number
N/A
Internet address(es)
Main address
http://www.gov.uk/government/organisations/uk-atomic-energy-authority
Buyer's address
https://uk.eu-supply.com/ctm/Company/CompanyInformation/Index/72814
one.4) Type of the contracting authority
Body governed by public law
one.5) Main activity
Other activity
Fusion Research
Section two: Object
two.1) Scope of the procurement
two.1.1) Title
WP3.5.1 - Development of Datasets for Machine Learning - LongOps
Reference number
T/PJP027/22
two.1.2) Main CPV code
- 48000000 - Software package and information systems
two.1.3) Type of contract
Supplies
two.1.4) Short description
As part of the LongOps project, it is required to develop decision support tools capable of helping de-risking operations and supporting training in teleoperated decommissioning tasks involving the detection and pose estimation of objects and debris within nuclear facilities. In recent years the use of Machine Learning (ML) techniques such as object detection, object classification, segmentation, semantic information extraction from images and videos, denoising, etc. has yielded important results in terms of visual and other sensory perception. However, this requires significant volumes of relevant, high-quality annotated data to achieve adequate levels of performance.
UKAEA wishes to procure the collection, evaluation, processing, and annotation of data gathered from nuclear-related sites and/or similar scenarios.
two.1.6) Information about lots
This contract is divided into lots: No
two.1.7) Total value of the procurement (excluding VAT)
Value excluding VAT: £255,000
two.2) Description
two.2.2) Additional CPV code(s)
- 48100000 - Industry specific software package
- 48150000 - Industrial control software package
- 48328000 - Image-processing software package
- 48461000 - Analytical or scientific software package
- 48518000 - Emulation software package
- 48627000 - Real-time operating system software package
- 48900000 - Miscellaneous software package and computer systems
- 48931000 - Training software package
- 48960000 - Drivers and system software package
- 48983000 - Development software package
- 72000000 - IT services: consulting, software development, Internet and support
- 72212000 - Programming services of application software
- 72212100 - Industry specific software development services
- 72212150 - Industrial control software development services
- 72212328 - Image-processing software development services
- 72212461 - Analytical or scientific software development services
- 72212510 - Communication software development services
- 72212517 - IT software development services
- 72212518 - Emulation software development services
- 72212670 - Real time operating system software development services
- 72212700 - Software development services utilities
- 72212900 - Miscellaneous software development services and computer systems
- 72227000 - Software integration consultancy services
- 72230000 - Custom software development services
- 72260000 - Software-related services
- 72262000 - Software development services
- 73000000 - Research and development services and related consultancy services
two.2.3) Place of performance
NUTS codes
- UKJ14 - Oxfordshire
two.2.4) Description of the procurement
As part of the LongOps project, it is required to develop decision support tools capable of helping de-risking operations and supporting training in teleoperated decommissioning tasks involving the detection and pose estimation of objects and debris within nuclear facilities. In recent years the use of Machine Learning (ML) techniques such as object detection, object classification, segmentation, semantic information extraction from images and videos, denoising, etc. has yielded important results in terms of visual and other sensory perception. However, this requires significant volumes of relevant, high-quality annotated data to achieve adequate levels of performance.
UKAEA wishes to procure the collection, evaluation, processing, and annotation of data gathered from nuclear-related sites and/or similar scenarios. Such data consists primarily of 2D images and 3D point clouds, although other types of data such as temperature, radiation, pressure, etc. may also be considered. The annotated data will then be used to, but not limited to, train machine learning models to perform tasks such as, object detection and classification, semantic and instance segmentation, etc. In addition, this data will be used to develop, evaluate, and validate change detection and anomaly estimation algorithms.
two.2.5) Award criteria
Quality criterion - Name: Quality / Weighting: 65%
Quality criterion - Name: Social Vlaue / Weighting: 10%
Price - Weighting: 25%
two.2.11) Information about options
Options: No
two.2.13) Information about European Union Funds
The procurement is related to a project and/or programme financed by European Union funds: No
Section four. Procedure
four.1) Description
four.1.1) Type of procedure
Open procedure
four.1.8) Information about the Government Procurement Agreement (GPA)
The procurement is covered by the Government Procurement Agreement: No
four.2) Administrative information
four.2.1) Previous publication concerning this procedure
Notice number: 2022/S 000-007431
Section five. Award of contract
Contract No
1
Title
WP3.5.1 - Development of Datasets for Machine Learning - LongOps
A contract/lot is awarded: Yes
five.2) Award of contract
five.2.1) Date of conclusion of the contract
3 August 2022
five.2.2) Information about tenders
Number of tenders received: 8
The contract has been awarded to a group of economic operators: No
five.2.3) Name and address of the contractor
Jacobs Clean Energy Limited
Cotton Centre
London
SE1 2QG
Country
United Kingdom
NUTS code
- UKI - London
National registration number
01120437
The contractor is an SME
No
five.2.4) Information on value of contract/lot (excluding VAT)
Initial estimated total value of the contract/lot: £254,958
Total value of the contract/lot: £254,958
Section six. Complementary information
six.4) Procedures for review
six.4.1) Review body
UK Atomic Energy Authority
Culham Science Centre
Abingdon
OX14 3DB
Country
United Kingdom
Internet address
https://www.gov.uk/government/organisations/uk-atomic-energy-authority
six.4.2) Body responsible for mediation procedures
UK Atomic Energy Authority
Culham Science Centre
Abingdon
OX14 3DB
Country
United Kingdom
Internet address
https://www.gov.uk/government/organisations/uk-atomic-energy-authority
six.4.3) Review procedure
Precise information on deadline(s) for review procedures
VI.4.2)Body responsible for mediation procedures
VI.4.3)Review procedure
Precise information on deadline(s) for review procedures:
The authority will incorporate a minimum 10 calendar day standstill period at the point information on the award of the contract is communicated to tenderers.
This period allows unsuccessful tenderers to seek further debriefing from the authority before a contract is entered into applicants have 2 working days from the notification of the award decision to request. Additional debriefing and that information have to be provided within a minimum of 3 working days before the expiry of the standstill period. Such additional information should be sought from the contact named in this notice.
If an appeal regarding the award of a contract has not been successfully resolved, the Public Contracts Regulations 2015 (SI 2015 No. 102) provide for aggrieved parties who have been harmed or are at risk of harm by a breach of the rules to take action in the High Court (England, Wales and Northern Ireland).
Any such action must be brought promptly.
(generally within 3 months).
six.4.4) Service from which information about the review procedure may be obtained
UK Atomic Energy Authority
Culham Science Centre
Abingdon
OX14 3DB
Country
United Kingdom
Internet address
https://www.gov.uk/government/organisations/uk-atomic-energy-authority