The Deepfake Detection Challenge (DFDC) Preview Dataset

In this paper, we introduce a preview of the Deepfakes Detection Challenge (DFDC) dataset consisting of 5K videos featuring two facial modification algorithms. A data collection campaign has been carried out where participating actors have entered into an agreement to the use and manipulation of the...

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Bibliographic Details
Published in:arXiv.org 2019-10
Main Authors: Dolhansky, Brian, Howes, Russ, Pflaum, Ben, Baram, Nicole, Cristian Canton Ferrer
Format: Article
Language:English
Subjects:
Algorithms
Data acquisition
Datasets
Deception
Performance evaluation
Online Access:Get full text
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Summary:In this paper, we introduce a preview of the Deepfakes Detection Challenge (DFDC) dataset consisting of 5K videos featuring two facial modification algorithms. A data collection campaign has been carried out where participating actors have entered into an agreement to the use and manipulation of their likenesses in our creation of the dataset. Diversity in several axes (gender, skin-tone, age, etc.) has been considered and actors recorded videos with arbitrary backgrounds thus bringing visual variability. Finally, a set of specific metrics to evaluate the performance have been defined and two existing models for detecting deepfakes have been tested to provide a reference performance baseline. The DFDC dataset preview can be downloaded at: deepfakedetectionchallenge.ai
ISSN:2331-8422