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@@ -15,13 +15,10 @@ Images are first divided into patches and classified as rich texture or poor tex
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  The four datasets I trained on:
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- AI Recognition Dataset: https://www.kaggle.com/datasets/superpotato9/dalle-recognition-dataset
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- AI ArtBench: https://www.kaggle.com/datasets/ravidussilva/real-ai-art
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- Dalle-3 Images: https://huggingface.co/datasets/ehristoforu/dalle-3-images
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- 130k Images--Universal Image Embeddings: https://www.kaggle.com/datasets/rhtsingh/130k-images-512x512-universal-image-embeddings
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  I sampled approximated 50,000 real and 50,000 AI generated images. I was able to achieve 97.5% validation accuracy
 
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  The four datasets I trained on:
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+ - AI Recognition Dataset: https://www.kaggle.com/datasets/superpotato9/dalle-recognition-dataset
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+ - AI ArtBench: https://www.kaggle.com/datasets/ravidussilva/real-ai-art
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+ - Dalle-3 Images: https://huggingface.co/datasets/ehristoforu/dalle-3-images
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+ - 130k Images--Universal Image Embeddings: https://www.kaggle.com/datasets/rhtsingh/130k-images-512x512-universal-image-embeddings
 
 
 
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  I sampled approximated 50,000 real and 50,000 AI generated images. I was able to achieve 97.5% validation accuracy