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The authors wish to correct the following error in the original paper [1].

An additional affiliation (University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006, Vitoria-Gasteiz, Spain) has been added to the first author. Due to this change, the numbers of the rest of the affiliations of each author were updated.

The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. This correction was approved by the academic editor. The original publication has also been updated.

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Reference

1. Lopez-Vazquez, V.; Lopez-Guede, J.M.; Marini, S.; Fanelli, E.; Johnsen, E.; Aguzzi, J. Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories. Sensors; 2020; 20, 726. [DOI: https://dx.doi.org/10.3390/s20030726] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32012976]

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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Details

Title
Correction: Lopez-Vazquez et al. Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories. Sensors 2020, 20, 726
Author
Lopez-Vazquez, Vanesa 1   VIAFID ORCID Logo  ; Lopez-Guede, Jose Manuel 2   VIAFID ORCID Logo  ; Marini, Simone 3   VIAFID ORCID Logo  ; Fanelli, Emanuela 4   VIAFID ORCID Logo  ; Johnsen, Espen 5 ; Aguzzi, Jacopo 6   VIAFID ORCID Logo 

1  DS Labs, R+D+I unit of Deusto Sistemas S.A., 01015 Vitoria-Gasteiz, Spain; University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain 
2  Department of System Engineering and Automation Control, Faculty of Engineering of Vitoria-Gasteiz, University of the Basque Country (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain 
3  Institute of Marine Sciences, National Research Council of Italy (CNR), 19032 La Spezia, Italy; Stazione Zoologica Anton Dohrn (SZN), 80122 Naples, Italy 
4  Stazione Zoologica Anton Dohrn (SZN), 80122 Naples, Italy; Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, 60131 Ancona, Italy 
5  Institute of Marine Research, P.O. Box 1870, 5817 Bergen, Norway 
6  Stazione Zoologica Anton Dohrn (SZN), 80122 Naples, Italy; Instituto de Ciencias del Mar (ICM) of the Consejo Superior de Investigaciones Científicas (CSIC), 08003 Barcelona, Spain 
First page
16
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.3390/s23010016
ProQuest document ID
2761203647
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.