poulomi24/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},
}
```

许可证：Apache-2.0
语言：英语
规模类别：10万<样本量<100万

## FakeClue数据集
FakeClue数据集是一款大规模多模态（multimodal）数据集，旨在助力合成图像检测与伪影（artifact）解释任务。该数据集包含超过10万张覆盖多个类别的图像，每张图像均配有细粒度自然语言伪影标注，详细阐述图像内所含的合成元素。数据集的图像来源涵盖GenImage、FF++、Chameleon等开源数据集，以及专为遥感与文档图像生成的专用合成数据。

## 引用

@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},
}