---
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