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- W4313463257 abstract "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." @default.
- W4313463257 created "2023-01-06" @default.
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- W4313463257 date "2023-01-03" @default.
- W4313463257 modified "2023-09-26" @default.
- W4313463257 title "Image dataset for benchmarking automated fish detection and classification algorithms" @default.
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- W4313463257 doi "https://doi.org/10.1038/s41597-022-01906-1" @default.
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