Confronting Deep-Learning and Biodiversity Challenges for Automatic Video-Monitoring of Marine Ecosy...
Confronting Deep-Learning and Biodiversity Challenges for Automatic Video-Monitoring of Marine Ecosystems
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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With the availability of low-cost and efficient digital cameras, ecologists can now survey the world’s biodiversity through image sensors, especially in the previously rather inaccessible marine realm. However, the data rapidly accumulates, and ecologists face a data processing bottleneck. While computer vision has long been used as a tool to speed...
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Confronting Deep-Learning and Biodiversity Challenges for Automatic Video-Monitoring of Marine Ecosystems
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TN_cdi_doaj_primary_oai_doaj_org_article_6e2e039242f54b4c858c91d7a76e914d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6e2e039242f54b4c858c91d7a76e914d
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22020497
