README.md

metadata

license: cc-by-4.0
dataset_info:
  - config_name: '0.25'
    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: 512915534.352
        num_examples: 86744
      - name: validation
        num_bytes: 64453996.096
        num_examples: 10954
    download_size: 563437634
    dataset_size: 577369530.448
  - config_name: '1.25'
    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: 1860154641.104
        num_examples: 86744
      - name: validation
        num_bytes: 236712623.794
        num_examples: 10954
    download_size: 2104494732
    dataset_size: 2096867264.898
configs:
  - config_name: '0.25'
    data_files:
      - split: train
        path: 0.25/train-*
      - split: validation
        path: 0.25/validation-*
  - config_name: '1.25'
    data_files:
      - split: train
        path: 1.25/train-*
      - split: validation
        path: 1.25/validation-*

Dataset Card for FairFace

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://github.com/joojs/fairface
• Repository: https://github.com/joojs/fairface
• Paper: https://openaccess.thecvf.com/content/WACV2021/papers/Karkkainen_FairFace_Face_Attribute_Dataset_for_Balanced_Race_Gender_and_Age_WACV_2021_paper.pdf
• Leaderboard:
• Point of Contact:

Dataset Summary

FairFace is a face image dataset which is race balanced. It contains 108,501 images from 7 different race groups: White, Black, Indian, East Asian, Southeast Asian, Middle Eastern, and Latino. Images were collected from the YFCC-100M Flickr dataset and labeled with race, gender, and age groups.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

Each instance has the following structure:

{
    'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=448x448 at 0x7FCABA221FA0>,
    'age': 6,
    'gender': 0,
    'race': 0,
    'service_test': True
}

Data Fields

• image: The image
• age: Age class among ["0-2", "3-9", "10-19", "20-29", "30-39", "40-49", "50-59", "60-69", "more than 70"]
• gender: Gender class among ["Male", "Female"]
• race: Race class among ["East Asian", "Indian", "Black", "White", "Middle Eastern", "Latino_Hispanic", "Southeast Asian"]
• service_test: Not sure what this is. See issue.

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @VictorSanh for adding this dataset.