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README.md
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# results
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This model is a fine-tuned version of [umm-maybe/AI-image-detector](https://huggingface.co/umm-maybe/AI-image-detector)
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0554
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- eval_accuracy: 0.9842
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## Model description
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## Intended uses & limitations
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# results
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This model is a fine-tuned version of [umm-maybe/AI-image-detector](https://huggingface.co/umm-maybe/AI-image-detector)
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on synthetic-pggan-chest-xrays dataset for AI-generated data, chest-xray-pneumonia for real data.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0554
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- eval_accuracy: 0.9842
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## Model description
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A model is a practical part of my master's thesis.
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The model is solving the problem of detection AI-generated images (CT, MRI, X-ray scans in medical domain)
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## Intended uses & limitations
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