| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| tags: |
| - image-forensics |
| - deepfake-detection |
| - inpainting-detection |
| - diffusion-models |
| - contrastive-learning |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # DiffusionPrint Patch Dataset |
|
|
| A dataset of 64x64 image patches for contrastive learning of diffusion-based inpainting forensics. |
| Each patch comes from either a real image or an AI-inpainted region generated by one of three diffusion models. |
|
|
| ## Columns |
|
|
| | Column | Type | Description | |
| |---|---|---| |
| | `image` | `bytes` (PNG) | Lossless 64x64 RGB patch | |
| | `master_index` | `int64` | Row index in the original memmap archive | |
| | `patch_path` | `string` | Original relative path of the patch | |
| | `category` | `string` | `real` or `generated` | |
| | `generator_model` | `string` | `none` (real), `sd2`, `sdxl`, or `flux` | |
| | `has_positive` | `bool` | Whether this patch has a contrastive positive counterpart | |
| | `positive_master_indices` | `string` | Semicolon-separated `master_index` values of positive pairs | |
|
|
| ## Pair Structure |
|
|
| Positive pairs are patches from the **same spatial location** under different conditions |
| (e.g. a real patch and its diffusion-reconstructed counterpart). |
| `positive_master_indices` stores semicolon-separated integer indices that resolve directly |
| against the `master_index` column -- no filesystem paths needed. |
|
|
| ## Generator Labels |
|
|
| | `generator_model` | Label int | |
| |---|---| |
| | `none` (real) | 0 | |
| | `sd2` | 1 | |
| | `sdxl` | 2 | |
| | `flux` | 3 | |
|
|
| ## Stats |
|
|
| - Total patches: 3,688,480 |
| - Shards: 37 |
| - Patch size: 64x64 RGB, lossless PNG |
|
|
