FaceForensics Dataset
FaceForensics Dataset
Datasets
FaceForensics Dataset
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FaceForensics Dataset
Use Case
FaceForensics Dataset
Description
Explore the FaceForensics Dataset with over 20,000 deepfake face images from 1,000 videos. Perfect for training and testing deepfake detection algorithms.
Description:
The FaceForensics dataset offers over 20,000 deepfake face images extracted from 1,000 videos. Images are 150×150 pixels. Using an official script, videos were downloaded and every 25th frame was extracted to optimize time and space. Facenet_pytorch was used to detect and crop faces, followed by manual cleaning to eliminate false positives. This dataset is ideal for training and testing deepfake detection algorithms, contributing to advancements in AI-driven security and verification systems.
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Additional Details:
- Dataset Structure: Images are organized by source video, ensuring traceability.
- Quality Assurance: Each image undergoes manual verification to maintain high accuracy.
- Applications: Useful for researchers and developers focusing on facial recognition, security systems, and AI ethics.
- Access and Use: Provided with detailed documentation and licensing terms for ease of use.
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