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ai-detection

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a deep learning project that uses ResNet and Inception architectures to classify real vs AI-generated face images. The project includes two models trained on a custom dataset, achieving validation accuracies of 52.45% (ResNet) and 52.94% (Inception). Built with TensorFlow and Flask, and a web interface for real time face classification

  • Updated Oct 29, 2024
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