Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets

Author:

Barrett Teanna1ORCID,Chen Quanze2ORCID,Zhang Amy2ORCID

Affiliation:

1. Department of Electrical Engineering & Computer Science, Howard University, USA

2. Allen School of Computer Science & Engineering, University of Washington, USA

Publisher

ACM

Reference89 articles.

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2. Remote Optical Cardiopulmonary Signal Extraction With Noise Artifact Removal, Multiple Subject Detection & Long-Distance

3. Mohammed Aledhari , Rehma Razzak , Reza M Parizi , and Gautam Srivastava . 2021 . Multimodal machine learning for pedestrian detection . In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). IEEE, 1–7. Mohammed Aledhari, Rehma Razzak, Reza M Parizi, and Gautam Srivastava. 2021. Multimodal machine learning for pedestrian detection. In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring). IEEE, 1–7.

4. The ethics of facial recognition technologies, surveillance, and accountability in an age of artificial intelligence: a comparative analysis of US, EU, and UK regulatory frameworks;Almeida Denise;AI and Ethics,2022

5. Janet Anderson , Charles Otto , Brianna Maze , Nathan Kalka , and James A Duncan . 2019 . Understanding confounding factors in face detection and recognition . In 2019 International Conference on Biometrics (ICB). IEEE, 1–8. Janet Anderson, Charles Otto, Brianna Maze, Nathan Kalka, and James A Duncan. 2019. Understanding confounding factors in face detection and recognition. In 2019 International Conference on Biometrics (ICB). IEEE, 1–8.

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