---
title: "WP3.5.1 - Development of Datasets for Machine Learning - LongOps"
ocid: "ocds-h6vhtk-02d476"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-02d476"
markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-02d476.md"
json_url: "https://d3tenders.com/contract/ocds-h6vhtk-02d476.json"
source: "Find A Tender Service"
current_stage: "Award"
buyer: "UNITED KINGDOM ATOMIC ENERGY AUTHORITY"
published: "2022-08-15"
---

# WP3.5.1 - Development of Datasets for Machine Learning - LongOps

Buyer: UNITED KINGDOM ATOMIC ENERGY AUTHORITY  
Current stage: Award  
OCID: ocds-h6vhtk-02d476

[View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-h6vhtk-02d476)  
[Download OCDS JSON](https://d3tenders.com/contract/ocds-h6vhtk-02d476.json)

## Summary

The United Kingdom Atomic Energy Authority is looking to procure the collection, evaluation, processing, and annotation of data for the LongOps project, focusing on developing decision support tools using Machine Learning for operations in nuclear facilities. This tender, titled "WP3.5.1 - Development of Datasets for Machine Learning - LongOps," falls under the goods category with a value of £254,958. The procurement stage is marked as complete, and the contract was signed on 3rd August 2022. The tender has been awarded to Jacobs Clean Energy Limited.

This opportunity presents businesses in the software and information systems sector with a chance to bid for a contract requiring expertise in areas such as object detection, image processing, and analytical software development. Companies specialising in industrial control software, IT services, research and development, as well as related consultancy services, are well-suited for competing in this tender. The procurement method used was an open procedure with a focus on quality criteria (65%), social value (10%), and price (25%).

## Notice

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.

### Lot Information

Lot 1

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.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Find A Tender Service |
| Latest notice | https://www.find-tender.service.gov.uk/Notice/022432-2022 |
| Notice type | Planning Notice |
| Procurement type | Standard |
| Procurement category | Goods |
| Procurement method | Open |
| Procurement method details | Open procedure |
| Tender suitability | Not specified |
| Awardee scale | Large |
| All stages | Planning, Tender, Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 15 Aug 2022 |
| Submission deadline | 29 Apr 2022 |
| Future notice date | 29 Sep 2021 |
| Award date | 2 Aug 2022 |
| Contract period | Not specified |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £255,000 |
| Lots value | £255,000 |
| Awards value | Not specified |
| Contracts value | £254,958 |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Cancelled |
| Awards status | Active |
| Contracts status | Active |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | UNITED KINGDOM ATOMIC ENERGY AUTHORITY |
| Locality | ABINGDON |
| Post town | Oxford |
| Postcode | OX14 3DB |
| Country | England |
| ITL 1 | TLJ South East (England) |
| ITL 2 | TLJ1 Berkshire, Buckinghamshire and Oxfordshire |
| ITL 3 | TLJ14 Oxfordshire CC |
| Local authority | South Oxfordshire |
| Electoral ward | Sandford & the Wittenhams |
| Westminster constituency | Didcot and Wantage |
| Delivery location | TLJ14 Oxfordshire CC |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | JACOBS CLEAN ENERGY |

## CPV Codes

### Divisions

- 48 - Software package and information systems
- 72 - IT services: consulting, software development, Internet and support
- 73 - Research and development services and related consultancy services

### Codes

- 48000000 - Software package and information systems
- 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

## Release History

- 15 Aug 2022 at 12:12 - Award - Award Notice - https://www.find-tender.service.gov.uk/Notice/022432-2022
- 18 Mar 2022 at 14:09 - Tender - Tender Notice - https://www.find-tender.service.gov.uk/Notice/007431-2022
- 13 Aug 2021 at 11:08 - Planning - Planning Notice - https://www.find-tender.service.gov.uk/Notice/019719-2021

## Notice URLs

- http://www.gov.uk/government/organisations/uk-atomic-energy-authority
- https://uk.eu-supply.com/app/rfq/rwlentrance_s.asp?PID=44924&B=UK
- https://uk.eu-supply.com/ctm/Company/CompanyInformation/Index/72814
- https://www.gov.uk/government/organisations/uk-atomic-energy-authority

## 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-h6vhtk-02d476. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-02d476.json.