4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2023
The Casual Conversations v2 Dataset
Bilal Porgali, Vítor Albiero, Jordan Ryda +2
This paper introduces a new large consent-driven dataset aimed at assisting in the evaluation of algorithmic bias and robustness of computer vision and audio speech models in regar…
cs.CV2022★ 4 cited
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
Caner Hazirbas, Yejin Bang, Tiezheng Yu +9
Developing robust and fair AI systems require datasets with comprehensive set of labels that can help ensure the validity and legitimacy of relevant measurements. Recent efforts, t…