Efficient Characterization Method for Big Automotive Datasets Used for Perception System Development and Verification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3145192
Abstract: The paper proposes a formal approach for describing and evaluating the datasets that are used in automotive applications for machine learning, testing, and validation purposes. Proper, that is, qualitative and quantitative characterization of the datasets… read more here.
Keywords: perception; characterization; method; efficient characterization ... See more keywords
A Systematic Review of Open Datasets Used in Text-to-Image (T2I) Gen AI Model Safety
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DOI: 10.1109/access.2025.3539933
Abstract: Novel research aimed at text-to-image (T2I) generative AI safety often relies on publicly available datasets for training and evaluation, making the quality and composition of these datasets crucial. This paper presents a comprehensive review of… read more here.
Keywords: text image; model safety; datasets used; image t2i ... See more keywords