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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: age |
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dtype: |
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class_label: |
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names: |
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'0': 0-2 |
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'1': 3-9 |
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'2': 10-19 |
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'3': 20-29 |
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'4': 30-39 |
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'5': 40-49 |
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'6': 50-59 |
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'7': 60-69 |
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'8': more than 70 |
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- name: gender |
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dtype: |
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class_label: |
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names: |
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'0': Male |
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'1': Female |
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- name: race |
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dtype: |
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class_label: |
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names: |
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'0': East Asian |
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'1': Indian |
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'2': Black |
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'3': White |
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'4': Middle Eastern |
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'5': Latino_Hispanic |
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'6': Southeast Asian |
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- name: service_test |
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dtype: bool |
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splits: |
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- name: train |
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num_bytes: 65869100.551 |
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num_examples: 3031 |
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download_size: 65046038 |
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dataset_size: 65869100.551 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: apache-2.0 |
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language: |
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- en |
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pretty_name: Fairness |
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size_categories: |
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- 1K<n<10K |
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--- |
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<h1 align="center" style="font-family:Arial, sans-serif; font-size:36px; color:#333;">FairFace_Balanced_3K</h1> |
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## Overview |
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`FairFace_Balanced_3K` is a balanced subset of the original [HuggingFaceM4/FairFace](https://huggingface.co/datasets/HuggingFaceM4/FairFace) dataset created to support bias-sensitive experiments in facial attribute recognition. This subset includes **3,031 samples**, with **433 images per race class**, across **7 race categories**: |
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- White |
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- Black |
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- East Asian |
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- Southeast Asian |
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- Indian |
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- Middle Eastern |
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- Latino_Hispanic |
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Each entry contains: |
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- RGB facial image |
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- Age group label (9 categories) |
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- Gender label (Male, Female) |
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- Race label (7 classes) |
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The subset is balanced to mitigate data bias and allow fair evaluation across racial groups. |
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Some random samples of the dataset are as: <img src="testimgs/random_samples.png" alt="Sample" width="300"/> |
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## Data Format |
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The dataset is stored in the Hugging Face Hub using the `datasets` library and Parquet format. Each row includes: |
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- `image`: PIL image in byte format |
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- `age`: Integer (mapped to age group) |
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- `gender`: Integer (0: Male, 1: Female) |
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- `race`: Integer (0–6, mapped to race category) |
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## Visuals |
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- Race Distribution |
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<img src="testimgs/race_distribution.png" alt="Sample" width="300"/> |
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- Age vs Group Distriution |
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<img src="testimgs/age_roup_distribution.png" alt="Sample" width="300"/> |
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- Gender Distribution |
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<img src="testimgs/gender_distribution.png" alt="Sample" width="300"/> |
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## Citation |
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If you use this dataset or the original FairFace dataset, please cite the following work: |
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```bibtex |
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@inproceedings{karkkainenfairface, |
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title={FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation}, |
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author={Karkkainen, Kimmo and Joo, Jungseock}, |
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booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision}, |
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year={2021}, |
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pages={1548--1558} |
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} |
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``` |
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## Original Sources |
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Original Repo: [joojs/fairface](https://github.com/joojs/fairface) |
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Original Dataset: [HuggingFaceM4/FairFace](https://huggingface.co/datasets/HuggingFaceM4/FairFace) |
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Original Paper: [FairFace](https://openaccess.thecvf.com/content/WACV2021/papers/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.pdf) |
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