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nlphuji
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fairface_val_padding_125

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test · 11k rows

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

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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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Size of downloaded dataset files:

241 MB

Size of the auto-converted Parquet files:

237 MB

Number of rows:

10,954