Datasets:
| 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 | |