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Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset

Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_872a1e7de9a64381a696b359eb2a50a8

Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset

About this item

Full title

Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-10, Vol.22 (21), p.8268

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Fish species recognition is crucial to identifying the abundance of fish species in a specific area, controlling production management, and monitoring the ecosystem, especially identifying the endangered species, which makes accurate fish species recognition essential. In this work, the fish species recognition problem is formulated as an object de...

Alternative Titles

Full title

Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_872a1e7de9a64381a696b359eb2a50a8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_872a1e7de9a64381a696b359eb2a50a8

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22218268

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