Sanitizing manufacturing dataset labels using vision-language models

The success of machine learning models in industrial applications is heavily dependent on the quality of the datasets used to train the models. However, large-scale datasets, especially those constructed from crowd-sourcing and web-scraping, often suffer from label noise, inconsistencies, and errors...

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Principais autores:	Nazanin Mahjourian, Vinh Nguyen
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2026-06-01
סדרה:	Machine Learning with Applications
נושאים:	Vision-language models Multi-modal learning Label noise Web-scraping Label cleaning Dataset sanitation
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S2666827026000587
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