MaxMassi/Face-Swapper

Generate a diverse dataset of 100 face-swapped images using the Inswapper model for training robust face-swap detection classifiers. 🖼️🔍

32
/ 100
Emerging

This project helps you automatically create a large, varied dataset of 100 face-swapped images. You provide input images, and it generates face-swapped images categorized by similarity, dissimilarity, randomness, or processing. This tool is designed for AI researchers and machine learning engineers who need diverse datasets to train robust face-swap detection models.

Use this if you need to quickly generate a diverse dataset of face-swapped images for training models that detect deepfakes or manipulated media.

Not ideal if you are looking for a simple face-swapping application for personal use or entertainment, as its primary purpose is dataset generation for AI model training.

AI/ML Research Deepfake Detection Computer Vision Dataset Generation Cybersecurity Research
No License No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 7 / 25
Community 10 / 25

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Stars

14

Forks

2

Language

Python

License

Last pushed

Mar 13, 2026

Commits (30d)

0

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