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@@ -17,7 +17,7 @@ This project hosts a fine-tuned version of the [Nahrawy/AIorNot](https://hugging
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  The Nahrawy/AIorNot model, originally designed for image classification tasks, has been fine-tuned to specifically address the challenge of distinguishing AI-generated images from real ones. This adaptation makes it particularly suitable for applications in social media moderation, digital forensics, and any domain where such differentiation is critical.
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  ## Dataset
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- The model was fine-tuned on a combined dataset consisting of [20000 real](https://huggingface.co/datasets/student/celebA) and 8892 [AI-generated profile pictures](https://www.kaggle.com/datasets/pablobedolla/this-person-does-not-exist-data). The dataset was split into training and validation sets, ensuring a comprehensive learning and evaluation process.
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  ## Performance
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  The model's performance metrics, such as accuracy and F1 score, are reported as follows:
 
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  The Nahrawy/AIorNot model, originally designed for image classification tasks, has been fine-tuned to specifically address the challenge of distinguishing AI-generated images from real ones. This adaptation makes it particularly suitable for applications in social media moderation, digital forensics, and any domain where such differentiation is critical.
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  ## Dataset
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+ The model was fine-tuned on a combined dataset consisting of [20000 real](https://huggingface.co/datasets/student/celebA) and [8892 AI-generated profile pictures](https://www.kaggle.com/datasets/pablobedolla/this-person-does-not-exist-data). The dataset was split into training and validation sets, ensuring a comprehensive learning and evaluation process.
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  ## Performance
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  The model's performance metrics, such as accuracy and F1 score, are reported as follows: