Image dataset for benchmarking automated fish detection and classification algorithms.
Sci Data
; 10(1): 5, 2023 01 03.
Article
em En
| MEDLINE
| ID: mdl-36596792
ABSTRACT
Multiparametric video-cabled marine observatories are becoming strategic to monitor remotely and in real-time the marine ecosystem. Those platforms can achieve continuous, high-frequency and long-lasting image data sets that require automation in order to extract biological time series. The OBSEA, located at 4 km from Vilanova i la Geltrú at 20 m depth, was used to produce coastal fish time series continuously over the 24-h during 2013-2014. The image content of the photos was extracted via tagging, resulting in 69917 fish tags of 30 taxa identified. We also provided a meteorological and oceanographic dataset filtered by a quality control procedure to define real-world conditions affecting image quality. The tagged fish dataset can be of great importance to develop Artificial Intelligence routines for the automated identification and classification of fishes in extensive time-lapse image sets.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Ecossistema
/
Peixes
Tipo de estudo:
Diagnostic_studies
Limite:
Animals
Idioma:
En
Revista:
Sci Data
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Espanha