---
license: apache-2.0
---
# Fake Image Dataset
Fake Image Dataset is now open-sourced at [huggingface (InfImagine Organization)](https://huggingface.co/datasets/InfImagine/FakeImageDataset/tree/main/ImageData/train). ↗ It consists of two folders, *ImageData* and *MetaData*. *ImageData* contains the compressed packages of the Fake Image Dataset, while *MetaData* contains the labeling information of the corresponding data indicating whether they are real or fake.

Why we need Fake Image Dataset and Sentry-Image?
* 🧐 Recent [study](https://arxiv.org/abs/2304.13023) have shown that humans struggle significantly to distinguish real photos from AI-generated ones, with a misclassification rate of **38.7%**.

* 🤗 To help people confirm whether the images they see are real images or AI-generated images, we launched the Sentry-Image project.

* 💻 Sentry-Image is an open source project which provides the SOTA fake image detection models in [Sentry-Image Leaderboard](http://sentry.infimagine.com/) to detect whether the image provided is an AI-generated or real image.

Stay tuned for this project! Feel free to contact [contact@infimagine.com](contact@infimagine.com)! 😆
## How to Download
```shell
git lfs install
git clone https://huggingface.co/datasets/InfImagine/FakeImageDataset
```

## Sub Dataset
### Fake2M Dataset

| Dataset     | SD-V1.5Real-dpms-25 | IF-V1.0-dpms++-25 | StyleGAN3     |
| ----------- | :-----------:       | :-----------:     | :-----------: |
| Generator   | Diffusion           | Diffusion         | GAN           |
| Numbers     | 1M                  | 1M                | 87K           |
| Resolution  | 512                 | 256               | (>=512)       |
| Caption     | CC3M-Train          | CC3M-Train        | -             |
| ImageData Path     | ImageData/train/SDv15R-CC1M          | ImageData/train/IF-CC1M        | ImageData/train/stylegan3-80K             |
| MetaData Path     | MetaData/train/SDv15R-CC1M.csv          | MetaData/train/IF-CC1M.csv        | MetaData/train/stylegan3-80K.csv             |


## License
This project is open-sourced under the [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0). These weights and datasets are fully open for academic research and can be used for commercial purposes with official written permission. If you find our open-source models and datasets useful for your business, we welcome your donation to support the development of the next-generation Sentry-Image model. Please contact [contact@infimagine.com](contact@infimagine.com) for commercial licensing and donation inquiries.
## Citation
The code and model in this repository is mostly developed for or derived from the paper below. Please cite it if you find the repository helpful.
```
@misc{sentry-image-leaderboard,
      title = {Sentry-Image Leaderboard},
      author = {Zeyu Lu, Di Huang, Chunli Zhang, Chengyue Wu, Xihui Liu, Lei Bai, Wanli Ouyang},
      year = {2023},
      publisher = {InfImagine, Shanghai AI Laboratory},
      howpublished = "\url{https://github.com/Inf-imagine/Sentry}"
},
@misc{lu2023seeing,
      title = {Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images}, 
      author = {Zeyu Lu, Di Huang, Lei Bai, Jingjing Qu, Chengyue Wu, Xihui Liu, Wanli Ouyang},
      year = {2023},
      eprint = {2304.13023},
      archivePrefix = {arXiv},
      primaryClass = {cs.AI}
}
```