liu123-2/FakeClue

FakeClue是一个大规模、多模态的数据集，旨在辅助合成图像检测和伪影解释。它包含超过10万张跨越多类别的图像。每张图像都配有自然语言的细粒度伪影标注，详细描述了图像中存在的合成元素。该数据集包含来自开源数据集（如GenImage、FF++和Chameleon）的图像，以及为遥感和文档图像生成的专用合成数据。

FakeClue is a large-scale, multimodal dataset designed to aid in synthetic image detection and artifact explanation. It consists of over 100,000 images across many categories. Each image is paired with fine-grained artifact annotations in natural language, detailing the synthetic elements present within the image. The dataset includes images from open-source datasets like GenImage, FF++, and Chameleon, as well as specialized synthetic data generated for remote sensing and document images.