all AI news
Addressing Bias in Face Detectors using Decentralised Data collection with incentives. (arXiv:2210.16024v1 [cs.CV])
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
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
1 day, 11 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Principal Applied Scientist
@ Microsoft | Redmond, Washington, United States
Data Analyst / Action Officer
@ OASYS, INC. | OASYS, INC., Pratt Avenue Northwest, Huntsville, AL, United States