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...
Furkejuvvon:
| Váldodahkkit: | , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Elsevier
2026-06-01
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| Ráidu: | Machine Learning with Applications |
| Fáttát: | |
| Liŋkkat: | http://www.sciencedirect.com/science/article/pii/S2666827026000587 |
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