| --- |
| license: other |
| task_categories: |
| - image-classification |
| - image-to-image |
| tags: |
| - face-recognition |
| - age-estimation |
| - agedb |
| - imagefolder |
| pretty_name: AgeDB HF-ready |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # AgeDB HF-ready |
|
|
| This folder packages the local AgeDB images as a Hugging Face `imagefolder` dataset. |
|
|
| ## Dataset Structure |
|
|
| - `train/images/<shard>/`: AgeDB image files split into shard directories. |
| - `train/metadata.csv`: per-image labels and metadata. |
|
|
| The labels are derived from the AgeDB filename pattern: |
|
|
| ```text |
| <image_id>_<identity>_<age>_<gender>.jpg |
| ``` |
|
|
| ## Columns |
|
|
| - `file_name`: relative image path used by Hugging Face `ImageFolder`, such as `images/000/example.jpg`. |
| - `label`: numeric identity label. |
| - `label_name`: identity name corresponding to `label`. |
| - `identity`: normalized identity name. |
| - `image_id`: numeric id from the original filename. |
| - `age`: age annotation. |
| - `age_decade`: decade bucket, such as `20s`. |
| - `age_group`: broad age bucket: `child`, `teen`, `young_adult`, `adult`, or `senior`. |
| - `gender`: original compact gender label, `f` or `m`. |
| - `gender_label`: expanded gender label. |
| - `source_filename`: original AgeDB filename. |
|
|
| ## Local Stats |
|
|
| - Images: 16488 |
| - Identities: 567 |
| - Age range: 1-101 |
| - Female images: 6700 |
| - Male images: 9788 |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("imagefolder", data_dir="data/evaluation/huggingface/agedb") |
| train = dataset["train"] |
| ``` |
|
|
| ## Notes |
|
|
| AgeDB is described by its authors as an in-the-wild face dataset annotated with identity, age, and gender. Check the original dataset terms before publishing or redistributing it. |
|
|
