Image dataset for benchmarking automated fish detection and classification algorithms

• DOI: 10.1038/s41597-022-01906-1
• Publication Date: 2023-01-03T16:03:43Z
• Authors: Marco Francescangeli; Simone Marini; Enoc Martínez; Joaquín Del Río; Daniel M. Toma; Marc Nogueras; Jacopo Aguzzi
• Keywords: Benchmarking; Identification

Abstract Multiparametric video-cabled marine observatories are becoming strategic to monitor remotely and in real-time the ecosystem. Those platforms can achieve continuous, high-frequency long-lasting image data sets that require automation order extract biological time series. The OBSEA, located at 4 km from Vilanova i la Geltrú 20 m depth, was used produce coastal fish series continuously over 24-h during 2013–2014. content of photos extracted via tagging, resulting 69917 tags 30 taxa identified. We also provided a meteorological oceanographic dataset filtered by quality control procedure define real-world conditions affecting quality. tagged be great importance develop Artificial Intelligence routines for automated identification classification fishes extensive time-lapse sets.