DeepShield: A Dataset of Real and AI-Generated Images also Shared on Social Networks

The DeepShield dataset is a large-scale benchmark for evaluating the robustness of fake image detection systems. It contains 100,000 images, divided between real and AI-generated content produced using advanced generative models, including StyleGAN, StyleGAN2, StyleGAN3, Stable Diffusion 1.5, 2.1, 3, and XL, as well as Flux 1.0. To simulate real-world distortions, 30,000 images were shared on Facebook, X (formerly Twitter), and Telegram, then re-collected to include platform-induced compression and artifacts. This approach ensures that the dataset captures authentic distribution noise and artifacts encountered in real-world scenarios. The DeepShield dataset supports rigorous benchmarking of fake image detectors under realistic and challenging conditions. The dataset was created by Truebees Srl and is made available under the Creative Commons Attribution 4.0 International License. Visit https://truebees.eu/site/