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license: cc-by-sa-4.0 |
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task_categories: |
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- image-classification |
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tags: |
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- diffusion |
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- image-generation |
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- ai-generated-content |
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--- |
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# OpenSDI: Spotting Diffusion-Generated Images in the Open World |
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This dataset is designed to address the **OpenSDI challenge**: spotting diffusion-generated images in realistic, open-world scenarios. It is described in the paper: [](https://huggingface.co/papers/2503.19653) |
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**Project Page:** [https://iamwangyabin.github.io/OpenSDI/](https://iamwangyabin.github.io/OpenSDI/) |
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**OpenSDID Dataset Highlights:** |
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* **User Diversity:** Simulates a wide range of user intentions and creative styles using diverse text prompts generated by VLMs. |
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* **Model Innovation:** Includes images from multiple state-of-the-art diffusion models (SD1.5, SD2.1, SDXL, SD3, Flux.1) released after 2023. |
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* **Manipulation Scope:** Covers the full spectrum of diffusion-based manipulation, from global image synthesis to precise local edits, object insertions, and background changes. |
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**Dataset Overview:** |
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| Model | Training Set | | Test Set | | Total | |
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| :------ | :----------- | :------- | :------- | :------- | :----- | |
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| | Real | Fake | Real | Fake | Images | |
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| SD1.5 | 100K | 100K | 10K | 10K | 220K | |
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| SD2.1 | - | - | 10K | 10K | 20K | |
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| SDXL | - | - | 10K | 10K | 20K | |
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| SD3 | - | - | 10K | 10K | 20K | |
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| Flux.1 | - | - | 10K | 10K | 20K | |
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| **Total** | **100K** | **100K** | **50K** | **50K** | **300K** | |
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**Download:** |
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* **OpenSDI Training Dataset:** [https://huggingface.co/datasets/nebula/OpenSDI_train](https://huggingface.co/datasets/nebula/OpenSDI_train) |
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* **OpenSDI Testing Dataset:** This repository |
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This dataset is for academic use and is distributed under the [CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/). Real images come from [megalith-10m](https://huggingface.co/datasets/madebyollin/megalith-10m). |
