Expert, Crowd, Students or Algorithm: who holds the key to deep-sea imagery ‘big data’ processing?

Expert, Crowd, Students or Algorithm: who holds the key to deep-sea imagery ‘big data’ processing?

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Matabos, M. ... et al.-- 9 pages, 4 figures, 1 table, data accessibility https://doi.org/10. 5061/dryad.98 g01

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Bibliographic Details
Main Authors: Matabos, Marjolaine, Doya, C., Aguzzi, Jacopo, Fernandez-Arcaya, U., Juniper, S. Kim
Format: artículo biblioteca
Published: British Ecological Society 2017-08
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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