README.md

metadata

license: cc-by-4.0
task_categories:
  - image-classification
  - zero-shot-image-classification
tags:
  - deepfake-detection
  - image-authenticity
  - synthetic-images
size_categories:
  - 10K<n<100K

Image Authenticity Battle Dataset

This dataset contains real and synthetic/tampered images for human perception studies on AI-generated content detection.

Dataset Structure

• Total Images: 19500
• Categories: Real, Synthetic (Fully AI-generated), Tampered (AI-edited)
• Models: Nano Banana, Qwen, Flux, SD3

Metadata Fields

Each image has the following metadata:

• filename: Path to image file
• dataset: Source dataset name
• category: real/synthetic/tampered
• model: Model used to generate/edit
• type: Detailed type information
• elo_detailed: ELO rating for detailed leaderboard
• elo_model: ELO rating for model leaderboard

Usage

This dataset is designed for ELO-based battle systems where users compare real vs synthetic/tampered images.

Citation

If you use this dataset, please cite our research paper (details forthcoming).

License

CC-BY-4.0