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OpenSDI_test

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metadata
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:

Project Page: 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:

This dataset is for academic use and is distributed under the CC BY-SA 4.0 license. Real images come from megalith-10m.