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TheGarlic/image-authenticity-battle

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… See the full description on the dataset page: https://huggingface.co/datasets/TheGarlic/image-authenticity-battle.

sourceHugging Facecc-by-4.0updated 11mo agoView on Hugging Face

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Dataset Card

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