dessa-oss/DeepFake-Detection
Towards deepfake detection that actually works
This project helps media analysts, journalists, or content moderators identify deepfake videos more reliably. It takes video files as input and outputs a prediction of whether the video contains real-world deepfake manipulation or other synthetic video techniques. This tool is for professionals who need to verify video authenticity, especially in contexts where deepfakes are becoming increasingly sophisticated.
643 stars. No commits in the last 6 months.
Use this if you need a robust deepfake detection system that performs well on diverse, real-world manipulated videos, rather than just academic datasets.
Not ideal if you lack significant computing power (GPU and 32GB+ RAM) or if you are looking for an out-of-the-box, user-friendly application without technical setup.
Stars
643
Forks
199
Language
Python
License
MIT
Category
Last pushed
Nov 22, 2022
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