RealAIGI: Realistic AI Generated Image Dataset

The rapid advancement of generative neural networks has facilitated the creation of photorealistic images, raising concerns about the proliferation of misinformation. Detecting AI-generated fakes has become crucial, given their potential impact on public opinion and various sectors. This paper presents a comparative analysis of real and AI-generated images, focusing on building a novel dataset named Realistic AI-Generated Image (RealAIGI) dataset. Leveraging sophisticated diffusion transformer models like Sora, the dataset comprises diverse general content, aiming to match the scale of existing general image datasets. We discuss the significance of such datasets in enhancing detection systems' robustness and real-world applicability, this work contributes to advancing AI-generated image detection.