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Documenting Computer Vision Datasets : An Invitation to ..:

, In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency,

Miceli, Milagros ; Yang, Tianling ; Naudts, Laurens... - p. 161-172 , 2021

Link: https://dl.acm.org/doi/10.1145/3442188.3445880

RT 
T1 <cTitle>Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency</cTitle>: T1 <Title>Documenting Computer Vision Datasets				: An Invitation to Reflexive Data Practices</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3445880&Exemplar=1&LAN=DE
				
A1 Miceli, Milagros
A1 Yang, Tianling
A1 Naudts, Laurens
A1 Schuessler, Martin
A1 Serbanescu, Diana
A1 Hanna, Alex
PB ACM
YR 2021
K1 accountability
K1 audits
K1 data annotation
K1 dataset documentation
K1 datasheets for datasets
K1 machine learning
K1 reflexivity
K1 training data
K1 transparency
K1 Human-centered computing
K1 Collaborative and social computing
K1 Empirical studies in collaborative and social computing
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision problems
K1 Social and professional topics
K1 Professional topics
K1 Computing industry
K1 Management of computing and information systems
K1 System management
K1 Quality assurance
SP 161
OP 172
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3442188.3445880
DO https://dl.acm.org/doi/10.1145/3442188.3445880
SF ELIB - SuUB Bremen

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