yanbax/CIFAKE_autotrain_compatible
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--- license: mit task_categories: - image-classification size_categories: - 10K<n<100K --- # Dataset Card for CIFAKE_autotrain_compatible ## Dataset Description - **Homepage:** [Kaggle data card](https://www.kaggle.com/datasets/birdy654/cifake-real-and-ai-generated-synthetic-images?resource=download) - **Paper:** Krizhevsky, A., & Hinton, G. (2009). Learning multiple layers of features from tiny images. ### Dataset Summary This is a copy of the CIFAKE dataset created by Dr Jordan J. Bird and Professor Ahmad Lotfi. See more information on the original data card on [Kaggle](https://www.kaggle.com/datasets/birdy654/cifake-real-and-ai-generated-synthetic-images?resource=download). The real images used are from CIFAR-10. The fake images were created by the authors using Stable Diffusion v1.4. This dataset removes the train/test structures in the original dataset to allow compatibility with HuggingFace's AutoTrain. It removes the test split images from the original dataset in both categories. All training images remain. ## Dataset Structure ### Data Fields Contains 100k total images per splits below. ### Data Splits Real: 50k real images Fake: 50k AI generated images ## Additional Information ### Dataset Curators Dr Jordan J. Bird Professor Ahmad Lotfi ### Licensing Information This dataset is published under the [same MIT license as CIFAR-10](https://github.com/wichtounet/cifar-10/blob/master/LICENSE): Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ### Citation Information If you use this dataset, you must cite the following sources: [Krizhevsky, A., & Hinton, G. (2009). Learning multiple layers of features from tiny images.](https://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdfl) [Bird, J.J., Lotfi, A. (2023). CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images. arXiv preprint arXiv:2303.14126.](https://arxiv.org/abs/2303.14126) Real images are from Krizhevsky & Hinton (2009), fake images are from Bird & Lotfi (2023). The Bird & Lotfi study is a preprint currently available on ArXiv and this description will be updated when the paper is published.
--- license: MIT许可证 task_categories: - 图像分类 size_categories: - 10K < n < 100K --- # 适配AutoTrain的CIFAKE数据集卡片 ## 数据集说明 - **项目主页：** [Kaggle数据集卡片](https://www.kaggle.com/datasets/birdy654/cifake-real-and-ai-generated-synthetic-images?resource=download) - **相关论文：** Krizhevsky, A., & Hinton, G. (2009). 从微小图像中学习多层特征 ### 数据集概述 本数据集为Jordan J. Bird博士与Ahmad Lotfi教授创建的CIFAKE数据集的复刻版本，更多详细信息可查阅原Kaggle数据集卡片（[链接](https://www.kaggle.com/datasets/birdy654/cifake-real-and-ai-generated-synthetic-images?resource=download)）。 数据集内的真实图像源自CIFAR-10，虚假图像则由原作者使用Stable Diffusion v1.4生成。 本数据集移除了原始数据集的训练/测试集划分结构，以适配HuggingFace的AutoTrain工具；同时移除了原始数据集中两类样本的测试集拆分图像，保留全部训练集图像。 ## 数据集结构 ### 数据字段 下述拆分方式下，总计包含100,000张图像。 ### 数据拆分 真实样本：50,000张真实图像 虚假样本：50,000张AI生成图像 ## 附加信息 ### 数据集维护者 Jordan J. Bird博士 Ahmad Lotfi教授 ### 许可证信息 本数据集采用与CIFAR-10一致的MIT许可证（详见[链接](https://github.com/wichtounet/cifar-10/blob/master/LICENSE)）： 特此免费授予任何获得本软件及相关文档文件（以下简称"软件"）副本的人以不受限制地使用本软件的权利，包括但不限于使用、复制、修改、合并、发布、分发、再许可及/或出售本软件副本的权利，并允许向其提供本软件的人员遵循下述条件： 上述版权声明与本许可声明应包含在本软件的所有副本或实质部分中。 本软件按"原样"提供，不附带任何明示或默示的担保，包括但不限于适销性、特定用途适用性及非侵权的担保。在任何情况下，作者或版权持有人均不对因本软件或本软件的使用或其他交易产生的任何索赔、损害赔偿或其他责任负责，无论该责任产生于合同、侵权或其他事由。 ### 引用信息 若使用本数据集，请引用下述文献： [Krizhevsky, A., & Hinton, G. (2009). 从微小图像中学习多层特征](https://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdfl) [Bird, J.J., Lotfi, A. (2023). CIFAKE：AI生成合成图像的分类与可解释识别. arXiv预印本arXiv:2303.14126](https://arxiv.org/abs/2303.14126) 本数据集的真实图像源自Krizhevsky与Hinton（2009）的研究，虚假图像源自Bird与Lotfi（2023）的工作。Bird与Lotfi的研究目前为ArXiv预印本，本数据集说明将在论文正式发表后更新。
数据集概述
数据集名称
CIFAKE_autotrain_compatible
数据集描述
数据集总结
- 来源：由Dr Jordan J. Bird和Professor Ahmad Lotfi创建的CIFAKE数据集的副本。
- 真实图像来源：CIFAR-10。
- 假图像来源：使用Stable Diffusion v1.4生成。
- 修改：移除了原数据集的训练/测试结构，以兼容HuggingFace的AutoTrain。
数据集结构
- 图像总数：100,000张。
- 数据分割：
- 真实图像：50,000张。
- AI生成图像：50,000张。
附加信息
数据集创建者
- Dr Jordan J. Bird
- Professor Ahmad Lotfi
许可证信息
- 许可证：MIT
- 详细信息：与CIFAR-10相同的MIT许可证。
引用信息
- 真实图像引用：Krizhevsky, A., & Hinton, G. (2009). Learning multiple layers of features from tiny images.
- 假图像引用：Bird, J.J., Lotfi, A. (2023). CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images. arXiv preprint arXiv:2303.14126.
