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 imageage
: 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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