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fairface

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margin025 · 97.7k rows

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train · 86.7k rows

age stringclasses 9 values	gender stringclasses 2 values	race stringclasses 7 values	service_test bool 2 classes
50-59	Male	East Asian	true
30-39	Female	Indian	false
3-9	Female	Black	false
20-29	Female	Indian	true
20-29	Female	Indian	true
20-29	Male	White	true
40-49	Male	Middle Eastern	false
30-39	Female	Indian	true
10-19	Male	White	true
30-39	Male	Middle Eastern	false
50-59	Male	East Asian	true
20-29	Male	East Asian	false
20-29	Male	Latino_Hispanic	false
10-19	Male	Indian	true
60-69	Female	Indian	true
30-39	Female	White	false
20-29	Female	Southeast Asian	false
40-49	Male	Southeast Asian	false
0-2	Female	Black	false
50-59	Male	Southeast Asian	true
20-29	Female	Indian	true
30-39	Female	Middle Eastern	true
20-29	Female	Black	true
30-39	Female	White	false
20-29	Female	White	false
30-39	Female	Black	true
50-59	Female	White	false
10-19	Female	White	false
20-29	Male	Indian	true
20-29	Female	Black	false
40-49	Female	Black	true
10-19	Female	East Asian	true
50-59	Male	White	false
40-49	Male	Middle Eastern	false
20-29	Male	East Asian	true
60-69	Female	Middle Eastern	true
20-29	Female	Latino_Hispanic	false
30-39	Male	Latino_Hispanic	true
50-59	Male	Middle Eastern	false
20-29	Female	Latino_Hispanic	false
20-29	Male	White	true
10-19	Female	Black	false
10-19	Female	Southeast Asian	true
40-49	Male	Latino_Hispanic	false
10-19	Male	Indian	true
10-19	Female	Indian	true
60-69	Male	East Asian	true
3-9	Female	Middle Eastern	true
10-19	Female	Southeast Asian	false
50-59	Female	Black	false
3-9	Female	East Asian	false
60-69	Male	Latino_Hispanic	false
50-59	Male	Southeast Asian	false
30-39	Female	East Asian	false
30-39	Male	Southeast Asian	true
30-39	Male	White	false
20-29	Male	Black	false
40-49	Female	Latino_Hispanic	true
10-19	Female	Latino_Hispanic	false
10-19	Female	Latino_Hispanic	true
3-9	Male	East Asian	false
10-19	Male	Indian	true
40-49	Male	Indian	false
20-29	Male	Southeast Asian	false
30-39	Male	East Asian	true
30-39	Male	Latino_Hispanic	true
10-19	Female	Latino_Hispanic	false
60-69	Male	White	false
50-59	Male	Southeast Asian	true
30-39	Male	Indian	true
60-69	Female	Indian	false
30-39	Male	Latino_Hispanic	true
30-39	Female	Latino_Hispanic	true
20-29	Female	Southeast Asian	false
30-39	Male	Indian	true
20-29	Male	Southeast Asian	true
50-59	Female	Black	true
20-29	Female	Middle Eastern	true
40-49	Male	Latino_Hispanic	false
30-39	Male	White	false
30-39	Female	Black	false
30-39	Male	Indian	false
40-49	Male	White	false
10-19	Female	Black	true
20-29	Female	White	false
20-29	Female	Black	true
20-29	Male	Black	true
20-29	Female	Southeast Asian	true
40-49	Male	Indian	false
50-59	Male	Indian	false
30-39	Male	Latino_Hispanic	false
0-2	Female	East Asian	false
30-39	Female	White	false
3-9	Female	Latino_Hispanic	false
20-29	Male	Black	false
30-39	Female	White	true
30-39	Female	White	false
20-29	Female	East Asian	false
30-39	Male	White	false
20-29	Female	East Asian	false

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Dataset Card for FairFace

Dataset Summary

A dataset of human faces annotated with discrete categories for the photographed person's age, sex, and race. Please consider prioritizing a previously created Hugging Face dataset repository for Fair Face as this new dataset repository was only made for downloading issues that may already be resolved.

For complete details on the dataset's construction and intended uses, please refer to the dataset's official repository or paper.

Dataset Structure

Data Instances

Each instance contains an image and discrete categories for age, gender, and race.

{
  'file': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=448x448>,
  'age': '50-59',
  'gender': 'Male',
  'race': 'East Asian',
  'service_test': True
}

Data Fields

file: an image of a human face with either padding = 0.25 or padding = 1.25 depending on the dataset config
age: a category describing the age of the person in the image limited to 0-2, 3-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, and more than 70
gender: a category describing the sex of the person in the image limited to Male and Female
race: a category describing the race of the person in the image limited to East Asian, Indian, Black, White, Middle Eastern, Latino_Hispanic, and Southeast Asian
service_test: please refer to this issue from the dataset's official repository

Additional Information

Licensing Information

According to the official repository, FairFace is licensed under CC BY 4.0.

Citation Information

@InProceedings{Karkkainen_2021_WACV,
    author    = {Karkkainen, Kimmo and Joo, Jungseock},
    title     = {FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2021},
    pages     = {1548-1558}
}

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Repository:

github.com

Paper:

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation

Size of downloaded dataset files:

2.97 GB

Size of the auto-converted Parquet files:

2.97 GB

Number of rows:

195,396