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522f13e
Changing image position
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README.md
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# Semi-Truths: The Evaluation Sample #
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<centering><img src="https://cdn-uploads.huggingface.co/production/uploads/666454f1f99defe86aca3882/AaKKr-VDqcsml4sDcYLrh.png" alt="head_figure" width="800"/></centering>
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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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🚀 Leverage the Semi-Truths dataset to understand the sensitivities of the latest AI-augmented image detectors, to various sizes of edits and semantic changes!
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<!-- ## Loading Dataset ##
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```
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# Semi-Truths: The Evaluation Sample #
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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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🚀 Leverage the Semi-Truths dataset to understand the sensitivities of the latest AI-augmented image detectors, to various sizes of edits and semantic changes!
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<centering><img src="https://cdn-uploads.huggingface.co/production/uploads/666454f1f99defe86aca3882/AaKKr-VDqcsml4sDcYLrh.png" alt="head_figure" width="800"/></centering>
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<!-- ## Loading Dataset ##
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```
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