Datasets:
| license: cc-by-sa-4.0 | |
| task_categories: | |
| - image-classification | |
| tags: | |
| - diffusion | |
| - image-generation | |
| - ai-generated-content | |
| # OpenSDI: Spotting Diffusion-Generated Images in the Open World | |
| 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) | |
| **Project Page:** [https://iamwangyabin.github.io/OpenSDI/](https://iamwangyabin.github.io/OpenSDI/) | |
| **OpenSDID Dataset Highlights:** | |
| * **User Diversity:** Simulates a wide range of user intentions and creative styles using diverse text prompts generated by VLMs. | |
| * **Model Innovation:** Includes images from multiple state-of-the-art diffusion models (SD1.5, SD2.1, SDXL, SD3, Flux.1) released after 2023. | |
| * **Manipulation Scope:** Covers the full spectrum of diffusion-based manipulation, from global image synthesis to precise local edits, object insertions, and background changes. | |
| **Dataset Overview:** | |
| | Model | Training Set | | Test Set | | Total | | |
| | :------ | :----------- | :------- | :------- | :------- | :----- | | |
| | | Real | Fake | Real | Fake | Images | | |
| | SD1.5 | 100K | 100K | 10K | 10K | 220K | | |
| | SD2.1 | - | - | 10K | 10K | 20K | | |
| | SDXL | - | - | 10K | 10K | 20K | | |
| | SD3 | - | - | 10K | 10K | 20K | | |
| | Flux.1 | - | - | 10K | 10K | 20K | | |
| | **Total** | **100K** | **100K** | **50K** | **50K** | **300K** | | |
| **Download:** | |
| * **OpenSDI Training Dataset:** [https://huggingface.co/datasets/nebula/OpenSDI_train](https://huggingface.co/datasets/nebula/OpenSDI_train) | |
| * **OpenSDI Testing Dataset:** This repository | |
| 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). |