Oct. 31, 2022, 1:14 a.m. | M. R. Ahan, Robin Lehmann, Richard Blythman

cs.CV updates on arXiv.org arxiv.org

Recent developments in machine learning have shown that successful models do
not rely only on huge amounts of data but the right kind of data. We show in
this paper how this data-centric approach can be facilitated in a decentralized
manner to enable efficient data collection for algorithms. Face detectors are a
class of models that suffer heavily from bias issues as they have to work on a
large variety of different data. We also propose a face detection and …

arxiv bias collection data data collection decentralised face

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