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README.md
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**Recent efforts have developed AI-generated image detectors claiming robustness against various augmentations, but their effectiveness remains unclear. Can these systems detect varying degrees of augmentation?**
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To address these questions, we introduce **Semi-Truths**, featuring 27,600 real images, 245,300 masks, and 850,200 AI-augmented images featuring varying degrees of targeted and localized edits, created using diverse augmentation methods, diffusion models, and data distributions.
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Each augmented image includes detailed metadata for standardized, targeted evaluation of detector robustness.
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**Recent efforts have developed AI-generated image detectors claiming robustness against various augmentations, but their effectiveness remains unclear. Can these systems detect varying degrees of augmentation?**
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<center><img src="https://github.com/J-Kruk/SemiTruths/blob/main/figures/maintenance_sign.png?raw=true" alt="maintenance notice until December 10 2024" width="500"/></center>
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To address these questions, we introduce **Semi-Truths**, featuring 27,600 real images, 245,300 masks, and 850,200 AI-augmented images featuring varying degrees of targeted and localized edits, created using diverse augmentation methods, diffusion models, and data distributions.
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Each augmented image includes detailed metadata for standardized, targeted evaluation of detector robustness.
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