metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: age
      dtype:
        class_label:
          names:
            '0': 0-2
            '1': 3-9
            '2': 10-19
            '3': 20-29
            '4': 30-39
            '5': 40-49
            '6': 50-59
            '7': 60-69
            '8': more than 70
    - name: gender
      dtype:
        class_label:
          names:
            '0': Male
            '1': Female
    - name: race
      dtype:
        class_label:
          names:
            '0': East Asian
            '1': Indian
            '2': Black
            '3': White
            '4': Middle Eastern
            '5': Latino_Hispanic
            '6': Southeast Asian
    - name: service_test
      dtype: bool
  splits:
    - name: train
      num_bytes: 65869100.551
      num_examples: 3031
  download_size: 65046038
  dataset_size: 65869100.551
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: apache-2.0
language:
  - en
pretty_name: Fairness
size_categories:
  - 1K<n<10K

FairFace_Balanced_3K

Overview

FairFace_Balanced_3K is a balanced subset of the original 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:

White
Black
East Asian
Southeast Asian
Indian
Middle Eastern
Latino_Hispanic

Each entry contains:

RGB facial image
Age group label (9 categories)
Gender label (Male, Female)
Race label (7 classes)

The subset is balanced to mitigate data bias and allow fair evaluation across racial groups.

Some random samples of the dataset are as: Sample

Data Format

The dataset is stored in the Hugging Face Hub using the datasets library and Parquet format. Each row includes:

image: PIL image in byte format
age: Integer (mapped to age group)
gender: Integer (0: Male, 1: Female)
race: Integer (0–6, mapped to race category)

Visuals

Race Distribution
Age vs Group Distriution
Gender Distribution

Citation

If you use this dataset or the original FairFace dataset, please cite the following work:

@inproceedings{karkkainenfairface,
  title={FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation},
  author={Karkkainen, Kimmo and Joo, Jungseock},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  year={2021},
  pages={1548--1558}
}

Original Sources

Original Repo: joojs/fairface

Original Dataset: HuggingFaceM4/FairFace

Original Paper: FairFace