Modotte GitHub Repository Live Demo Overview In an era of rapidly advancing AI generated imagery, deepfakes, and synthetic media, the need for reliable detection tools has never been higher. AIRealNet is a binary image classifier explicitly designed to distinguish AI generated images from real human photographs . This model is optimized to detect conventional AI generated content while adhering to strict privacy standards—avoiding personal or sensitive images. Class 0: AI generated image Class 1: Real human image By leveraging the robust SwinV2 Tiny architecture as its backbone, AIRealNet achieves a high degree of accuracy while remaining lightweight enough for practical deployment. Key Features 1. High Accuracy on Public Datasets: Despite using a 14k image fine tuning split(Part of main fine tuning split) , AIRealNet demonstrates exceptional accuracy and robustness in detecting AI generated images. 2. Balanced Training Split: The dataset contains a balanced number of AI generated and real images, ensuring unbiased training and minimizing class imbalance issues. AI Generated: 60% Human Images: 40% 4. Ethical Design: No personal photos were included, even if edited or AI modified, r…
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