Expert, Crowd, Students or Algorithm: who holds the key to deep-sea imagery ‘big data’ processing?
Matabos, M. ... et al.-- 9 pages, 4 figures, 1 table, data accessibility https://doi.org/10. 5061/dryad.98 g01
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Main Authors: | , , , , |
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Format: | artículo biblioteca |
Published: |
British Ecological Society
2017-08
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Subjects: | Ocean Networks Canada, FIsh counting, deep-sea imagery, Seafloor observatories, Underwater video, Digital Fishers, Computer vision algorithms, Crowdsourcing, |
Online Access: | http://hdl.handle.net/10261/161735 |
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Summary: | Matabos, M. ... et al.-- 9 pages, 4 figures, 1 table, data accessibility https://doi.org/10. 5061/dryad.98 g01 |
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