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As negatives a subsample of 10.000 images from [imagenet-1k](https://huggingface.co/datasets/imagenet-1k) was used. Complementary 10.000 positive images were generated using [Realistic_Vision_V1.4](https://huggingface.co/SG161222/Realistic_Vision_V1.4).
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### Training hyperparameters
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The following hyperparameters were used during training:
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As negatives a subsample of 10.000 images from [imagenet-1k](https://huggingface.co/datasets/imagenet-1k) was used. Complementary 10.000 positive images were generated using [Realistic_Vision_V1.4](https://huggingface.co/SG161222/Realistic_Vision_V1.4).
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The labels from imagenet-1k were used as prompts for image generation. [GitHub reference](https://github.com/TimKond/diffusion-detection/blob/main/data/DatasetGeneration.py)
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### Training hyperparameters
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The following hyperparameters were used during training:
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