Table 3 Dataset comparison by geographical region and income level

From: Fair human-centric image dataset for ethical AI benchmarking

 

FHIBE (%)

CCv1 (%)

CCv2 (%)

FACET (%)

COCO (%)

MIAP (%)

Africa

44.7

0.0

0.0

2.8

3.0

1.7

Asia and Oceania

40.6

0.0

49.8

36.2

11.4

14.3

Europe

4.4

0.0

0.0

49.8

34.2

36.2

Latin America and Caribbean

4.2

0.0

42.5

3.5

3.1

5.0

North America

6.0

100.0

7.7

7.7

48.3

42.8

High-income economies

11.5

100.0

7.7

54.0

89.1

87.5

Upper-middle-income economies

14.5

0.0

50.5

45.0

10.5

12.0

Lower-middle-income economies

71.5

0.0

41.8

Low-income economies

0.3

0.0

0.0

0.9

0.4

0.5

  1. Income groups are based on World Bank data. Geographical distributions for FACET, COCO and MIAP are estimates from a previous study78. These datasets combine upper-middle and lower-middle income levels into a single middle category. For the FHIBE dataset, the geographical distribution is derived from self-reported location annotations. Percentages for CCv1 and CCv2 are based on videos, while the other datasets use image counts.