Vehicle detection and classification using an ensemble of EfficientDet and YOLOv8
Vehicle detection and classification using an ensemble of EfficientDet and YOLOv8
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Publisher
United States: PeerJ. Ltd
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Language
English
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Publisher
United States: PeerJ. Ltd
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Contents
With the rapid increase in vehicle numbers, efficient traffic management has become a critical challenge for society. Traditional methods of vehicle detection and classification often struggle with the diverse characteristics of vehicles, such as varying shapes, colors, edges, shadows, and textures. To address this, we proposed an innovative ensemb...
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Full title
Vehicle detection and classification using an ensemble of EfficientDet and YOLOv8
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TN_cdi_doaj_primary_oai_doaj_org_article_85d196683f954575b1a768832419cdf2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_85d196683f954575b1a768832419cdf2
Other Identifiers
ISSN
2376-5992
E-ISSN
2376-5992
DOI
10.7717/peerj-cs.2233
