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README.md
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> [!note]
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*OpenSDI: Spotting Diffusion-Generated Images in the Open World* https://arxiv.org/pdf/2503.19653, OpenSDI SD1.5 SigLIP2 works best with crisp and high-quality images. Noisy images are not recommended for validation.
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```py
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Classification Report:
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precision recall f1-score support
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> [!note]
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*OpenSDI: Spotting Diffusion-Generated Images in the Open World* https://arxiv.org/pdf/2503.19653, OpenSDI SD1.5 SigLIP2 works best with crisp and high-quality images. Noisy images are not recommended for validation.
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> [!warning]
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If the task is based on image content moderation or AI-generated image vs. real image classification, it is recommended to use the OpenSDI-Flux.1-SigLIP2 model.
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```py
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Classification Report:
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precision recall f1-score support
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