---
title: "Synthetic Data Validation"
ocid: "ocds-b5fd17-041df7a0-255f-4820-bc3d-3e115ccfbcd3"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-041df7a0-255f-4820-bc3d-3e115ccfbcd3"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-041df7a0-255f-4820-bc3d-3e115ccfbcd3.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-041df7a0-255f-4820-bc3d-3e115ccfbcd3.json"
source: "Contracts Finder"
current_stage: "Tender"
buyer: "DFTC - DEPARTMENT FOR TRANSPORT"
published: "2021-10-05"
---

# Synthetic Data Validation

Buyer: DFTC - DEPARTMENT FOR TRANSPORT  
Current stage: Tender  
OCID: ocds-b5fd17-041df7a0-255f-4820-bc3d-3e115ccfbcd3

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## Summary

The Department for Transport (DfT) is conducting an open tender process for a contract titled "Synthetic Data Validation". This initiative falls under the transport services industry and is relevant to businesses operating in services related to research and development. The tender was published on 5th October 2021, and the submission deadline is set for 26th October 2021. The contract period will commence on 24th November 2021 and continue until 31st March 2022, with delivery expected at locations across the United Kingdom and other territories.

This tender presents an opportunity for businesses involved in data development and algorithm validation, particularly those specialising in synthetic data and machine learning technologies. Small and medium-sized enterprises (SMEs) and voluntary, community, and social enterprise (VCSE) organisations are encouraged to participate, leveraging their expertise in crafting data sets that meet the specific requirements of the transport security sector. Competitors will find potential for significant growth by contributing to the advancement of security measures within the UK’s transport systems.

## Notice

The Transport Security, Resilience and Response (TSRR) within DfT, leads on national security matters, ranging from counter terrorism and cyber security to planning for and responding to natural hazards or civil contingencies. We deliver expertise to support security and resilience policy teams whilst also providing the department's 24/7 response for all security or civil contingency incidents. The team works with security and intelligence partners from across government to mitigate risk to the UK's transport sector. For the development of algorithms for the automated detection of security threats there is a need for data sets of both the threats to be found and of innocuous items to ensure that the algorithm performance does not impede on the operational needs of airports. With the advent of machine and deep learning algorithms there is a requirement for large volumes of data, this, combined with the fact that some of the materials that regulators wish algorithms to identify are hard to handle in large quantities meaning that the creation of data is slow or inadequate to meet the demands of development and deployment of algorithms to meet all stakeholder needs. A potential solution to this problem would be to use artificially created data and use this to both learn and validate algorithm performance but before using this approach it would be pertinent to understand how accurate synthetic data is compared to data collected on a real machine. The purpose of this contract would be to develop a means by which synthetically created data could be created and validated as to be identical and indistinguishable from data created by scanning real objects in security systems. If validated DfT would then look to have created a synthetic data set of bags with threats created by an identical means as that validated to be distributed to vendors for algorithm development and validation. The scope of this program is for the validation of synthetically created images for x-ray computer tomography systems for the purpose of being used to develop algorithms for the automated detection of prohibited items. Please access the opportunity via the Jaggaer E-Sourcing Portal; tender_1748 - Synthetic Data Validation Additional information: Please access the opportunity via the Jaggaer E Sourcing Portal; tender_1748 - Synthetic Data Validation

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/4ff53037-48df-4a1b-bf0e-e204d9f07a5e |
| Notice type | Tender Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Open |
| Procurement method details | Open procedure (below threshold) |
| Tender suitability | SME, VCSE |
| Awardee scale | Not specified |
| All stages | Tender |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 5 Oct 2021 |
| Submission deadline | 26 Oct 2021 |
| Future notice date | Not specified |
| Award date | Not specified |
| Contract period | 24 Nov 2021 - 31 Mar 2022 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Active |
| Lots status | Not specified |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | DFTC - DEPARTMENT FOR TRANSPORT |
| Locality | LONDON |
| Post town | South West London |
| Postcode | SW1P 4DR |
| Country | England |
| ITL 1 | TLI London |
| ITL 2 | TLI3 Inner London - West |
| ITL 3 | TLI35 Westminster and City of London |
| Local authority | Westminster |
| Electoral ward | Vincent Square |
| Westminster constituency | Cities of London and Westminster |
| Delivery location | Not specified |

## CPV Codes

### Divisions

- 60 - Transport services (excl. Waste transport)
- 73 - Research and development services and related consultancy services

### Codes

- 60000000 - Transport services (excl. Waste transport)
- 73000000 - Research and development services and related consultancy services

## Release History

- 5 Oct 2021 at 15:24 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/4ff53037-48df-4a1b-bf0e-e204d9f07a5e

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/4ff53037-48df-4a1b-bf0e-e204d9f07a5e
  5th October 2021 - Opportunity notice on Contracts Finder

## 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-b5fd17-041df7a0-255f-4820-bc3d-3e115ccfbcd3. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-041df7a0-255f-4820-bc3d-3e115ccfbcd3.json.