image
imagewidth (px) 224
224
| file
stringlengths 9
13
| age
stringclasses 9
values | gender
stringclasses 2
values | race
stringclasses 7
values | service_test
stringclasses 2
values | image_name
stringlengths 5
9
|
---|---|---|---|---|---|---|
val/1.jpg | 3-9 | Male | East Asian | False | 1.jpg |
|
val/2.jpg | 50-59 | Female | East Asian | True | 2.jpg |
|
val/3.jpg | 30-39 | Male | White | True | 3.jpg |
|
val/4.jpg | 20-29 | Female | Latino_Hispanic | True | 4.jpg |
|
val/5.jpg | 20-29 | Male | Southeast Asian | False | 5.jpg |
|
val/6.jpg | 30-39 | Male | Latino_Hispanic | False | 6.jpg |
|
val/7.jpg | 20-29 | Male | Black | True | 7.jpg |
|
val/8.jpg | 3-9 | Male | East Asian | False | 8.jpg |
|
val/9.jpg | 20-29 | Male | Southeast Asian | False | 9.jpg |
|
val/10.jpg | 3-9 | Male | Southeast Asian | False | 10.jpg |
|
val/11.jpg | more than 70 | Female | East Asian | True | 11.jpg |
|
val/12.jpg | 50-59 | Female | East Asian | True | 12.jpg |
|
val/13.jpg | 40-49 | Female | Indian | True | 13.jpg |
|
val/14.jpg | 20-29 | Male | Indian | True | 14.jpg |
|
val/15.jpg | 30-39 | Female | Latino_Hispanic | False | 15.jpg |
|
val/16.jpg | 50-59 | Male | Middle Eastern | True | 16.jpg |
|
val/17.jpg | 30-39 | Male | East Asian | False | 17.jpg |
|
val/18.jpg | 20-29 | Female | White | False | 18.jpg |
|
val/19.jpg | 40-49 | Male | White | False | 19.jpg |
|
val/20.jpg | 40-49 | Female | Middle Eastern | True | 20.jpg |
|
val/21.jpg | 20-29 | Male | East Asian | True | 21.jpg |
|
val/22.jpg | 40-49 | Male | White | False | 22.jpg |
|
val/23.jpg | 30-39 | Female | White | True | 23.jpg |
|
val/24.jpg | 10-19 | Female | East Asian | False | 24.jpg |
|
val/25.jpg | 20-29 | Female | Latino_Hispanic | False | 25.jpg |
|
val/26.jpg | 30-39 | Female | Latino_Hispanic | False | 26.jpg |
|
val/27.jpg | 20-29 | Female | Latino_Hispanic | True | 27.jpg |
|
val/28.jpg | 20-29 | Female | Southeast Asian | True | 28.jpg |
|
val/29.jpg | 3-9 | Female | East Asian | False | 29.jpg |
|
val/30.jpg | 30-39 | Female | Latino_Hispanic | False | 30.jpg |
|
val/31.jpg | 3-9 | Female | Indian | True | 31.jpg |
|
val/32.jpg | 40-49 | Female | Indian | False | 32.jpg |
|
val/33.jpg | 20-29 | Male | Southeast Asian | True | 33.jpg |
|
val/34.jpg | 3-9 | Male | East Asian | False | 34.jpg |
|
val/35.jpg | 60-69 | Male | Black | True | 35.jpg |
|
val/36.jpg | 50-59 | Female | Black | False | 36.jpg |
|
val/37.jpg | 40-49 | Male | Black | True | 37.jpg |
|
val/38.jpg | 40-49 | Male | Middle Eastern | False | 38.jpg |
|
val/39.jpg | 60-69 | Male | Middle Eastern | False | 39.jpg |
|
val/40.jpg | 50-59 | Female | Indian | False | 40.jpg |
|
val/41.jpg | 3-9 | Male | East Asian | False | 41.jpg |
|
val/42.jpg | 20-29 | Female | Indian | False | 42.jpg |
|
val/43.jpg | 20-29 | Female | Latino_Hispanic | False | 43.jpg |
|
val/44.jpg | 30-39 | Female | Latino_Hispanic | False | 44.jpg |
|
val/45.jpg | 0-2 | Male | White | False | 45.jpg |
|
val/46.jpg | 20-29 | Male | East Asian | False | 46.jpg |
|
val/47.jpg | 40-49 | Male | White | True | 47.jpg |
|
val/48.jpg | 20-29 | Female | White | True | 48.jpg |
|
val/49.jpg | 40-49 | Male | White | False | 49.jpg |
|
val/50.jpg | 20-29 | Female | White | True | 50.jpg |
|
val/51.jpg | 30-39 | Male | Middle Eastern | False | 51.jpg |
|
val/52.jpg | 3-9 | Male | Middle Eastern | True | 52.jpg |
|
val/53.jpg | 50-59 | Male | Latino_Hispanic | False | 53.jpg |
|
val/54.jpg | 20-29 | Male | East Asian | False | 54.jpg |
|
val/55.jpg | 40-49 | Male | Latino_Hispanic | False | 55.jpg |
|
val/56.jpg | 40-49 | Male | White | False | 56.jpg |
|
val/57.jpg | 40-49 | Female | East Asian | True | 57.jpg |
|
val/58.jpg | 3-9 | Male | Black | False | 58.jpg |
|
val/59.jpg | 30-39 | Female | White | False | 59.jpg |
|
val/60.jpg | 10-19 | Female | Southeast Asian | True | 60.jpg |
|
val/61.jpg | 60-69 | Male | Black | False | 61.jpg |
|
val/62.jpg | 3-9 | Male | Southeast Asian | True | 62.jpg |
|
val/63.jpg | 3-9 | Female | White | False | 63.jpg |
|
val/64.jpg | 10-19 | Male | East Asian | False | 64.jpg |
|
val/65.jpg | 40-49 | Male | Latino_Hispanic | False | 65.jpg |
|
val/66.jpg | 30-39 | Female | Latino_Hispanic | True | 66.jpg |
|
val/67.jpg | 40-49 | Female | White | True | 67.jpg |
|
val/68.jpg | 3-9 | Female | White | True | 68.jpg |
|
val/69.jpg | 30-39 | Male | Latino_Hispanic | True | 69.jpg |
|
val/70.jpg | 20-29 | Male | Indian | True | 70.jpg |
|
val/71.jpg | more than 70 | Male | Middle Eastern | True | 71.jpg |
|
val/72.jpg | 30-39 | Male | White | False | 72.jpg |
|
val/73.jpg | 20-29 | Female | Latino_Hispanic | False | 73.jpg |
|
val/74.jpg | 30-39 | Female | Indian | False | 74.jpg |
|
val/75.jpg | 50-59 | Male | Middle Eastern | True | 75.jpg |
|
val/76.jpg | 20-29 | Male | Indian | True | 76.jpg |
|
val/77.jpg | 40-49 | Female | Latino_Hispanic | True | 77.jpg |
|
val/78.jpg | 30-39 | Male | Black | False | 78.jpg |
|
val/79.jpg | 3-9 | Female | Middle Eastern | True | 79.jpg |
|
val/80.jpg | 30-39 | Female | Black | False | 80.jpg |
|
val/81.jpg | 30-39 | Male | Black | False | 81.jpg |
|
val/82.jpg | 10-19 | Male | East Asian | False | 82.jpg |
|
val/83.jpg | 30-39 | Female | White | False | 83.jpg |
|
val/84.jpg | 40-49 | Male | East Asian | False | 84.jpg |
|
val/85.jpg | 3-9 | Female | White | False | 85.jpg |
|
val/86.jpg | 10-19 | Male | Black | False | 86.jpg |
|
val/87.jpg | 30-39 | Male | White | False | 87.jpg |
|
val/88.jpg | 20-29 | Male | Southeast Asian | True | 88.jpg |
|
val/89.jpg | 30-39 | Male | East Asian | False | 89.jpg |
|
val/90.jpg | 50-59 | Male | Middle Eastern | False | 90.jpg |
|
val/91.jpg | 10-19 | Female | Indian | True | 91.jpg |
|
val/92.jpg | 10-19 | Male | White | False | 92.jpg |
|
val/93.jpg | 20-29 | Female | Indian | True | 93.jpg |
|
val/94.jpg | 50-59 | Female | Latino_Hispanic | False | 94.jpg |
|
val/95.jpg | 50-59 | Female | East Asian | True | 95.jpg |
|
val/96.jpg | 30-39 | Male | White | False | 96.jpg |
|
val/97.jpg | 50-59 | Female | Indian | True | 97.jpg |
|
val/98.jpg | 20-29 | Male | East Asian | False | 98.jpg |
|
val/99.jpg | 20-29 | Male | East Asian | True | 99.jpg |
|
val/100.jpg | 20-29 | Female | East Asian | True | 100.jpg |
End of preview. Expand
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empty or missing yaml metadata in repo card
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FairFace (val set)
Original paper: Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
Homepage: https://github.com/joojs/fairface
Bibtex:
@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}
}
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