This project investigates bias in automatic facial recognition (FR). Specifically, subjects are grouped into predefined subgroups based on gender, ethnicity, and age. We propose a novel image collection called Balanced Faces in the Wild (BFW), which is balanced across eight subgroups (i.e., 800 face images of 100 subjects, each with 25 face samples).
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[1] Joseph Robinson,
"Balanced Faces in the Wild",
IEEE Dataport,
2022. [Online]. Available: http://dx.doi.org/10.21227/nmsj-df12. Accessed: Sep. 17, 2024.
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doi = {10.21227/nmsj-df12},
url = {http://dx.doi.org/10.21227/nmsj-df12},
author = {Joseph Robinson },
publisher = {IEEE Dataport},
title = {Balanced Faces in the Wild},
year = {2022} }
doi = {10.21227/nmsj-df12},
url = {http://dx.doi.org/10.21227/nmsj-df12},
author = {Joseph Robinson },
publisher = {IEEE Dataport},
title = {Balanced Faces in the Wild},
year = {2022} }
TY - DATA
T1 - Balanced Faces in the Wild
AU - Joseph Robinson
PY - 2022
PB - IEEE Dataport
UR - 10.21227/nmsj-df12
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T1 - Balanced Faces in the Wild
AU - Joseph Robinson
PY - 2022
PB - IEEE Dataport
UR - 10.21227/nmsj-df12
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Joseph Robinson.
(2022).
Balanced Faces in the Wild.
IEEE Dataport.
http://dx.doi.org/10.21227/nmsj-df12
Joseph Robinson,
2022.
Balanced Faces in the Wild.
Available at:
http://dx.doi.org/10.21227/nmsj-df12.
Joseph Robinson.
(2022).
"Balanced Faces in the Wild."
Web.
1. Joseph Robinson.
Balanced Faces in the Wild [Internet].
IEEE Dataport; 2022.
Available from :
http://dx.doi.org/10.21227/nmsj-df12
Joseph Robinson.
"Balanced Faces in the Wild."
doi:
10.21227/nmsj-df12