Dual-modal edible oil impurity dataset for weak feature detection
Dual-modal edible oil impurity dataset for weak feature detection
About this item
Full title
Author / Creator
Wang, Huiyu , Chen, Qianghua , Zhao, Jianding , Xu, Liwen , Li, Ming , Zhao, Ying , Zhao, Qinpei and Lu, Qin
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
Edible oil may be mixed with tiny solid impurities like raw material fragments, hair, metal fragments and etc. during the production and manufacturing process. For food safety reasons, these tiny impurities need to be detected in the quality control process. As compared with manual detection ways, computer vision-based impurity detection methods ca...
Alternative Titles
Full title
Dual-modal edible oil impurity dataset for weak feature detection
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_950ce31c027f4f869a39e548ff69b96e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_950ce31c027f4f869a39e548ff69b96e
Other Identifiers
ISSN
2052-4463
E-ISSN
2052-4463
DOI
10.1038/s41597-024-04305-w
