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image
imagewidth (px)
224
224
age
class label
9 classes
gender
class label
2 classes
race
class label
7 classes
service_test
bool
2 classes
650-59
0Male
0East Asian
true
430-39
1Female
1Indian
false
13-9
1Female
2Black
false
320-29
1Female
1Indian
true
320-29
1Female
1Indian
true
320-29
0Male
3White
true
540-49
0Male
4Middle Eastern
false
430-39
1Female
1Indian
true
210-19
0Male
3White
true
430-39
0Male
4Middle Eastern
false
650-59
0Male
0East Asian
true
320-29
0Male
0East Asian
false
320-29
0Male
5Latino_Hispanic
false
210-19
0Male
1Indian
true
760-69
1Female
1Indian
true
430-39
1Female
3White
false
320-29
1Female
6Southeast Asian
false
540-49
0Male
6Southeast Asian
false
00-2
1Female
2Black
false
650-59
0Male
6Southeast Asian
true
320-29
1Female
1Indian
true
430-39
1Female
4Middle Eastern
true
320-29
1Female
2Black
true
430-39
1Female
3White
false
320-29
1Female
3White
false
430-39
1Female
2Black
true
650-59
1Female
3White
false
210-19
1Female
3White
false
320-29
0Male
1Indian
true
320-29
1Female
2Black
false
540-49
1Female
2Black
true
210-19
1Female
0East Asian
true
650-59
0Male
3White
false
540-49
0Male
4Middle Eastern
false
320-29
0Male
0East Asian
true
760-69
1Female
4Middle Eastern
true
320-29
1Female
5Latino_Hispanic
false
430-39
0Male
5Latino_Hispanic
true
650-59
0Male
4Middle Eastern
false
320-29
1Female
5Latino_Hispanic
false
320-29
0Male
3White
true
210-19
1Female
2Black
false
210-19
1Female
6Southeast Asian
true
540-49
0Male
5Latino_Hispanic
false
210-19
0Male
1Indian
true
210-19
1Female
1Indian
true
760-69
0Male
0East Asian
true
13-9
1Female
4Middle Eastern
true
210-19
1Female
6Southeast Asian
false
650-59
1Female
2Black
false
13-9
1Female
0East Asian
false
760-69
0Male
5Latino_Hispanic
false
650-59
0Male
6Southeast Asian
false
430-39
1Female
0East Asian
false
430-39
0Male
6Southeast Asian
true
430-39
0Male
3White
false
320-29
0Male
2Black
false
540-49
1Female
5Latino_Hispanic
true
210-19
1Female
5Latino_Hispanic
false
210-19
1Female
5Latino_Hispanic
true
13-9
0Male
0East Asian
false
210-19
0Male
1Indian
true
540-49
0Male
1Indian
false
320-29
0Male
6Southeast Asian
false
430-39
0Male
0East Asian
true
430-39
0Male
5Latino_Hispanic
true
210-19
1Female
5Latino_Hispanic
false
760-69
0Male
3White
false
650-59
0Male
6Southeast Asian
true
430-39
0Male
1Indian
true
760-69
1Female
1Indian
false
430-39
0Male
5Latino_Hispanic
true
430-39
1Female
5Latino_Hispanic
true
320-29
1Female
6Southeast Asian
false
430-39
0Male
1Indian
true
320-29
0Male
6Southeast Asian
true
650-59
1Female
2Black
true
320-29
1Female
4Middle Eastern
true
540-49
0Male
5Latino_Hispanic
false
430-39
0Male
3White
false
430-39
1Female
2Black
false
430-39
0Male
1Indian
false
540-49
0Male
3White
false
210-19
1Female
2Black
true
320-29
1Female
3White
false
320-29
1Female
2Black
true
320-29
0Male
2Black
true
320-29
1Female
6Southeast Asian
true
540-49
0Male
1Indian
false
650-59
0Male
1Indian
false
430-39
0Male
5Latino_Hispanic
false
00-2
1Female
0East Asian
false
430-39
1Female
3White
false
13-9
1Female
5Latino_Hispanic
false
320-29
0Male
2Black
false
430-39
1Female
3White
true
430-39
1Female
3White
false
320-29
1Female
0East Asian
false
430-39
0Male
3White
false
320-29
1Female
0East Asian
false

Dataset Card for FairFace

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.

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