anonymous-author-sub/seeable
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes
This project helps you identify deepfake videos or images, distinguishing them from authentic media. You provide video files or images as input, and it helps determine if they have been manipulated or synthetically generated. This tool is designed for media analysts, journalists, forensic investigators, or anyone needing to verify the authenticity of visual content.
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Use this if you need to reliably detect whether a video or image is a deepfake to prevent misinformation or verify evidence.
Not ideal if you need a tool for basic image or video editing, or for enhancing media quality rather than authenticating it.
Stars
19
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Language
Python
License
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Last pushed
Jun 01, 2023
Commits (30d)
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