AI-Generated-Content-Detection

AI-Generated-Content-Detection

rustyneuron01

Multi-modal AI-generated content detection: image, video, and audio. Benchmarks, training code (DINOv2, DINOv3, ReStraV, BreathNet), and evaluation pipeline for real vs. synthetic classification with calibration-aware metrics.

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83 Stars
47 Forks
83 Watchers
Python Language
mit License
100 SrcLog Score
Cost to Build
$63.5K
Market Value
$201.0K
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Growth over time

3 data points  ·  2026-04-11 → 2026-04-26
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What is the rustyneuron01/AI-Generated-Content-Detection GitHub project? Description: "Multi-modal AI-generated content detection: image, video, and audio. Benchmarks, training code (DINOv2, DINOv3, ReStraV, BreathNet), and evaluation pipeline for real vs. synthetic classification with calibration-aware metrics.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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