Update README.md

README.md

@@ -1,12 +1,22 @@
 # 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
 ```
 
-## Fake2M Dataset
+## Sub Dataset
+### Fake2M Dataset
 
 | Dataset     | SD-V1.5Real-dpms-25 | IF-V1.0-dpms++-25 | StyleGAN3     |
 | ----------- | :-----------:       | :-----------:     | :-----------: |
@@ -18,6 +28,24 @@ git clone https://huggingface.co/datasets/InfImagine/FakeImageDataset
 | MetaData Path     | MetaData/train/SDv15R-CC1M.csv          | MetaData/train/IF-CC1M.csv        | MetaData/train/stylegan3-80K.csv             |
 
 
----
-license: apache-2.0
----
+## 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}
+}
+```