Source: https://tendernation.io/opportunities/01a13b8c-2194-734a-92f3-803d2ee8e916/wp351-development-of-datasets-for-machine-learning-longops

closed GB open procedure Suitable for SMEs

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

[United Kingdom Atomic Energy Authority](https://tendernation.io/buyers/united-kingdom-atomic-energy-authority)

Estimated value

£255,000

Published

18 Mar 2022

Deadline

Closed

29 Apr 2022

## Who can bid

- Buyer says suitable for SMEs

    The buyer ticked “suitable for SMEs” on the notice. Anyone can still bid.
- Buyer says suitable for VCSEs

    The buyer ticked “suitable for voluntary, community and social enterprises” on the notice.
- Open procedure

    Anyone can submit a full tender; there is no shortlisting stage.

[More contracts for small businesses and VCSEs](https://tendernation.io/opportunities/for-small-businesses)

## About this tender

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.

## CPV classification

Software package and information systems

Source

Contracts Finder (UK)

[View official notice](https://www.contractsfinder.service.gov.uk/notice/b02b82d4-20e5-4c61-990a-a06a18d6dfbc)

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