DFDC

Deepfake Detection Challenge

Dataset Information
Modalities
Videos
License
Custom
Homepage
Official Website
Contents

Overview

The DFDC (Deepfake Detection Challenge) is a dataset for deepface detection consisting of more than 100,000 videos.

The DFDC dataset consists of two versions:

  • Preview dataset. with 5k videos. Featuring two facial modification algorithms.
  • Full dataset, with 124k videos. Featuring eight facial modification algorithms

Source: The Deepfake Detection Challenge (DFDC) Preview Dataset

Variants: DFDC

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
DeepFake Detection Cross Efficient Vision Transformer Combining EfficientNet and Vision Transformers … 2021-07-06
DeepFake Detection Efficient Vision Transformer Combining EfficientNet and Vision Transformers … 2021-07-06
DeepFake Detection EfficientNetB4 + EfficientNetB4ST + B4Att Video Face Manipulation Detection Through … 2020-04-16

Research Papers

Recent papers with results on this dataset:

External Links: