Deepfake Detection Challenege
Pixelated and distorted faces

Deepfake Detection Challenge (DFDC)

The Deepfake Detection Challenge invites people around the world to build innovative new technologies that can help detect deepfakes and manipulated media. Identifying manipulated content is a technically demanding and rapidly evolving challenge, so we’re working together to build better detection tools.

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Milestones

October 21
An initial deepfake dataset released

December 11
The full deepfake dataset released and challenge begins

March 31
Challenge ends

Join the Challenge

The Deepfake Detection Challenge is available on Kaggle. Get started on your project to have a chance to win $1 million in total prizes. For details on the challenge, visit the Kaggle competition page.

To join the challenge, you must have a Kaggle account. You cannot use the credentials used for the preview dataset to participate in the full competition and get access to the full dataset.

Building Tools to Detect Deepfakes Together

When new forms of misinformation emerge, we need new ways to deal with them. New technologies like deepfakes, where realistic AI-generated videos show real people doing and saying fictional things, are rapidly evolving and detecting them presents a huge technical challenge.

No single organization can solve this on its own. That’s why we’re working together on an ongoing initiative.

Deepfake Datasets

It’s important to have data that is freely available for the community to use, with consenting participants and few restrictions on usage. Browse a realistic dataset that includes paid individuals who have agreed to participate in the creation of the dataset for this challenge.