YOLO-v5 Variant Selection Algorithm Coupled with Representative Augmentations for Modelling Producti...
YOLO-v5 Variant Selection Algorithm Coupled with Representative Augmentations for Modelling Production-Based Variance in Automated Lightweight Pallet Racking Inspection
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
The aim of this research is to develop an automated pallet inspection architecture with two key objectives: high performance with respect to defect classification and computational efficacy, i.e., lightweight footprint. As automated pallet racking via machine vision is a developing field, the procurement of racking datasets can be a difficult task....
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Full title
YOLO-v5 Variant Selection Algorithm Coupled with Representative Augmentations for Modelling Production-Based Variance in Automated Lightweight Pallet Racking Inspection
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TN_cdi_doaj_primary_oai_doaj_org_article_ef7e4a8714784952b53465fa59a42eff
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ef7e4a8714784952b53465fa59a42eff
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ISSN
2504-2289
E-ISSN
2504-2289
DOI
10.3390/bdcc7020120
