gopal27/FakeClue

--- license: apache-2.0 language: - en size_categories: - 100K<n<1M --- ## FakeClue Dataset 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. ## Citation ``` @misc{wen2025spotfakelargemultimodal, title={Spot the Fake: Large Multimodal Model-Based Synthetic Image Detection with Artifact Explanation}, author={Siwei Wen and Junyan Ye and Peilin Feng and Hengrui Kang and Zichen Wen and Yize Chen and Jiang Wu and Wenjun Wu and Conghui He and Weijia Li}, year={2025}, eprint={2503.14905}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2503.14905}, } ```