Commercial
DeepFake Videos Dataset
The dataset contains real videos of people with generated faces overlaid to enhance liveness detection systems.
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- files
- 10,000+
-
- people
- 7,000+
- Facial Recognition
- Computer Vision
- Machine learning
- Data generation
- Security
-
- files
- 10,000+
-
- people
- 7,000+
Dataset Info
Characteristic | Data |
Description | Real video of people with AI-generated faces, where individuals turn their heads in different directions |
Data types | Video |
Tasks | Facial recognition, Computer Vision |
Total number of files | 10,000 |
Number of people | 7,000 |
Video generation sites | aisaver.io, faceswapvideo.ai, magichour.ai |
Labeling | Metadata (age, gender, ethnicity) |
Gender | Male, Female |
Ethnicity | Asian (30%), African (70%) |
Age | Min = 18, max = 80, mean = 45 |
Statistics
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- Distribution by age
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- Duration of the video duration
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- Distribution by gender
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- Distribution by ethnicity
Technical
Characteristics
Characteristic | Data |
Video extension | mp4, MOV |
Video Resolutions | 1920 x 1080p, 480 x 360p, 1280 x 720p, 720 x 480p, 640 x 480p, 1920 x 920p |
Video duration | Mean = 9, median = 9, min = 2, max = 34 |
Frames per second | Mean = 26.6 |
Devices | iPhone 13 (30%), Google Pixel (70%) |
Industries
Finance:
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Deepfake Detection:
Developing advanced algorithms to identify and mitigate the risks associated with deepfake videos, protecting against misinformation and identity theft.
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Fraud Prevention:
Implementing synthetic video analysis to detect identity fraud in financial transactions, safeguarding customer accounts.
Entertainment Industry:
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Content Creation:
Utilizing deepfake technology for creative storytelling, allowing filmmakers and content creators to produce innovative narratives and visual effects.
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