| 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}, | |
| } | |
| ``` |