| --- |
| license: mit |
| task_categories: |
| - image-classification |
| - text-to-image |
| tags: |
| - synthetic |
| - faces |
| - face-recognition |
| - fairness |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: default |
| data_files: "data/*.tar" |
| --- |
| |
| # SynthFaces: balanced synthetic faces |
|
|
| Synthetic face dataset from the paper *SynthFaces* (accepted to BMVC 2026), [arXiv:2610.40119](https://arxiv.org/abs/2610.40119v1). |
| Code: [ControlGenAI/SynthFaces](https://github.com/ControlGenAI/SynthFaces). Identity sampler weights: [shredder67/id-flow](https://huggingface.co/shredder67/id-flow). |
|
|
| ## Contents |
|
|
| - 15,054 synthetic identities, 10 images each: **150,540 images**, 512x512 PNG. |
| - `<id>_0` is the base face generated from the sampled identity embedding (ID-Flow, then Arc2Face). |
| `<id>_1` to `<id>_9` are variations of the same identity. |
| - Every identity has a label `[age, race, gender]` (FairFace categories) shared by its 10 images. |
|
|
| ## Format |
|
|
| WebDataset tar shards in `data/` (250 identities per shard). Each sample consists of: |
|
|
| - `<id>_<k>.png`: the image |
| - `<id>_<k>.json`: `{"identity", "age", "race", "gender", "age_name", "race_name", "gender_name"}` |
|
|
| `labels.jsonl` in the repo root has the same labels for all 150,540 images (field `image` is `<id>/<id>_<k>.png`). |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("shredder67/synthfaces-faces-balanced", split="train", streaming=True) |
| sample = next(iter(ds)) |
| sample["png"], sample["json"] |
| ``` |
|
|
| ## Label vocabularies |
|
|
| - age: `0-2, 3-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+` (ids 0 to 8) |
| - race: `White, Black, Latino_Hispanic, East Asian, Southeast Asian, Indian, Middle Eastern` (ids 0 to 6) |
| - gender: `Male, Female` (ids 0, 1) |
|
|
| ## Label counts (images) |
|
|
| | age | count | race | count | gender | count | |
| |---|---|---|---|---|---| |
| | 0-2 | 2,770 | White | 25,580 | Male | 68,870 | |
| | 3-9 | 22,290 | Black | 18,500 | Female | 81,670 | |
| | 10-19 | 25,690 | Latino_Hispanic | 24,510 | | | |
| | 20-29 | 21,540 | East Asian | 20,700 | | | |
| | 30-39 | 19,690 | Southeast Asian | 21,260 | | | |
| | 40-49 | 19,500 | Indian | 18,790 | | | |
| | 50-59 | 18,090 | Middle Eastern | 21,200 | | | |
| | 60-69 | 15,520 | | | | | |
| | 70+ | 5,450 | | | | | |
| |
| ## Citation |
| |
| See the GitHub repository for the BibTeX entry. |
| |
