The DeepFish computer vision dataset for fish instance segmentation, classification, and size estimation

Nahuel Garcia-d’Urso; Alejandro Galan-Cuenca; Paula Pérez-Sánchez; Pau Climent-Pérez; Andres Fuster-Guillo; Jorge Azorin-Lopez; Marcelo Saval-Calvo; Juan Eduardo Guillén-Nieto; Gabriel Soler-Capdepón

doi:10.1038/s41597-022-01416-0

Scientific Data (Jun 2022)

The DeepFish computer vision dataset for fish instance segmentation, classification, and size estimation

Nahuel Garcia-d’Urso,
Alejandro Galan-Cuenca,
Paula Pérez-Sánchez,
Pau Climent-Pérez,
Andres Fuster-Guillo,
Jorge Azorin-Lopez,
Marcelo Saval-Calvo,
Juan Eduardo Guillén-Nieto,
Gabriel Soler-Capdepón

Affiliations

Nahuel Garcia-d’Urso: Department of Computing Technology, University of Alicante
Alejandro Galan-Cuenca: Department of Computing Technology, University of Alicante
Paula Pérez-Sánchez: Instituto de Ecología Litoral
Pau Climent-Pérez: Department of Computing Technology, University of Alicante
Andres Fuster-Guillo: Department of Computing Technology, University of Alicante
Jorge Azorin-Lopez: Department of Computing Technology, University of Alicante
Marcelo Saval-Calvo: Department of Computing Technology, University of Alicante
Juan Eduardo Guillén-Nieto: Instituto de Ecología Litoral
Gabriel Soler-Capdepón: Instituto de Ecología Litoral

DOI: https://doi.org/10.1038/s41597-022-01416-0
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 7

Abstract

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Measurement(s) specimen size • fish species Technology Type(s) homography estimation • expert’s knowledge Sample Characteristic - Organism Mediterranean fish Sample Characteristic - Environment fish market Sample Characteristic - Location Levantine Balearic sea

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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