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
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such as FaceForensics++ and DFDC
FaceForensics++ is a forensics dataset consisting of 1000 original video sequences that have been manipulated with four automated face manipulation methods: Deepfakes, Face2Face, FaceSwap and NeuralTextures. The data has been sourced from 977 youtube videos and all videos contain a trackable mostly frontal face without occlusions which enables automated tampering methods to generate realistic forgeries.
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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