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@@ -4,7 +4,7 @@ license: apache-2.0
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  # Fake Image Dataset
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  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.
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- Why we need Fake Image Dataset and Sentry-Image?
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  * 🧐 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%**.
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  * 🤗 To help people confirm whether the images they see are real images or AI-generated images, we launched the Sentry-Image project.
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  * 💻 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.
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  Stay tuned for this project! Feel free to contact [contact@infimagine.com](contact@infimagine.com)! 😆
 
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  ## How to Download
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  ```shell
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  git lfs install
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  git clone https://huggingface.co/datasets/InfImagine/FakeImageDataset
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  ```
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  # Dataset card for Fake Image Dataset
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  ## Dataset Description
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  * **Paper:** [https://arxiv.org/pdf/2304.13023.pdf](https://arxiv.org/pdf/2304.13023.pdf)
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  * **Point of Contact:** [contact@infimagine.com](mailto:contact@infimagine.com)
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- ### Dataset Summary
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  FakeImageDataset was created to serve as an large-scale dataset for the pretraining of detecting fake images.
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  It was built on StableDiffusion v1.5, IF and StyleGAN3.
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- ### Supported Tasks and Leaderboards
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  FakeImageDataset is intended to be primarly used as a pretraining dataset for detecting fake images.
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  # Fake Image Dataset
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  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.
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+ ## Why we need [Fake Image Dataset](https://huggingface.co/datasets/InfImagine/FakeImageDataset/tree/main/ImageData/train) and [Sentry-Image](http://sentry.infimagine.com/)?
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  * 🧐 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%**.
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  * 🤗 To help people confirm whether the images they see are real images or AI-generated images, we launched the Sentry-Image project.
 
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  * 💻 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.
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  Stay tuned for this project! Feel free to contact [contact@infimagine.com](contact@infimagine.com)! 😆
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+
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  ## How to Download
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  ```shell
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  git lfs install
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  git clone https://huggingface.co/datasets/InfImagine/FakeImageDataset
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  ```
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+ ## News
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+ * [2023/07] We open source the [Sentry-Image repository](https://github.com/Inf-imagine/Sentry) and [Sentry-Image Demo & Leaderboard](http://sentry.infimagine.com/).
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+ * [2023/07] We open source the [Sentry-Image dataset](https://huggingface.co/datasets/InfImagine/FakeImageDataset).
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+
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  # Dataset card for Fake Image Dataset
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  ## Dataset Description
 
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  * **Paper:** [https://arxiv.org/pdf/2304.13023.pdf](https://arxiv.org/pdf/2304.13023.pdf)
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  * **Point of Contact:** [contact@infimagine.com](mailto:contact@infimagine.com)
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+ ## Dataset Summary
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  FakeImageDataset was created to serve as an large-scale dataset for the pretraining of detecting fake images.
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  It was built on StableDiffusion v1.5, IF and StyleGAN3.
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+ ## Supported Tasks and Leaderboards
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  FakeImageDataset is intended to be primarly used as a pretraining dataset for detecting fake images.
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