Images from OBSEA underwater cameras labeled with marine species to train AI-based Object Detection algorithms, European Commission: AI-based image data analysis tools for aquatic research, 101058625, This work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and Innovation, Peer reviewed

Images from OBSEA underwater cameras labeled with marine species to train AI-based Object Detection algorithms, The research has been carried out within the framework of the project “Severo Ochoa Center of Excellence” financially supported by ICM-CSIC (CEX2019-000928-S) and the Research Unit Tecnoterra (ICM-CSIC/UPC) of the Spanish Government. This work was supported by the European Union under the Horizon Europe grant 101058625, Peer reviewed

This dataset contains AI-based fish detections at the OBSEA Underwater Observatory (NW Mediterranean sea). The model is a YOLOv8 xlarge trained with labeled underwater pictures from OBSEA, The research has been carried out within the framework of the project “Severo Ochoa Center of Excellence” financially supported by ICM-CSIC (CEX2019-000928-S) and the Research Unit Tecnoterra (ICM-CSIC/UPC) of the Spanish Government. This work was supported by the European Union under the Horizon Europe grant 101058625, The data file in CSV format includes the following columns: - timestamp: Time instance when the picture was taken (in UTC) - SourceImage: URL of the source image - ProcessedImage: URL of the processed image with detections + bounding boxes - SENSOR_ID: Name of the camera that took the picture - Diplodus puntazzo: Number of specimens detected - Oblada melanurus: Number of specimens detected - Parablennius gattorugine: Number of specimens detected - Sarpa salpa: Number of specimens detected - Seriola dumerili: Number of specimens detected - Serranus cabrilla: Number of specimens detected - Sparus aurata: Number of specimens detected - Symphodus mediterraneus: Number of specimens detected - Diplodus sargus: Number of specimens detected - Diplodus vulgaris: Number of specimens detected - Epinephelus costae: Number of specimens detected - Aetomylaeus bovinus: Number of specimens detected - Chromis chromis: Number of specimens detected - Coris julis: Number of specimens detected - Dentex dentex: Number of specimens detected - Diplodus cervinus: Number of specimens detected - Epinephelus marginatus: Number of specimens detected - Mullus surmuletus: Number of specimens detected - Muraena helena: Number of specimens detected - Oblada melanurus: Number of specimens detected - Parablennius gattorugine: Number of specimens detected - Sarpa salpa: Number of specimens detected - Seriola dumerili: Number of specimens detected - Serranus cabrilla: Number of specimens detected - Sparus aurata: Number of specimens detected - Symphodus mediterraneus: Number of specimens detected, Peer reviewed

This dataset contains AI-based fish detections at the OBSEA Underwater Observatory (NW Mediterranean sea). The model is a YOLOv8 xlarge trained with labeled underwater pictures from OBSEA. The model can be found here. The pictures where taken at OBSEA area with cameras pointing to an artifical biotop developed in the framework of the Slagreef project, Ministerio de Ciencia, Innovación y Universidades TED2021-129760B-I00. European Commission Horizon Europe 101058625 iMagine - Imaging data and services for aquatic science, This work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and Innovation, The data file in CSV format includes the following columns: timestamp: Time instance when the picture was taken (in UTC). SourceImage: URL of the source image. ProcessedImage: URL of the processed image with detections + bounding boxes. SENSOR_ID: Name of the camera that took the picture. Diplodus puntazzo: Number of s. Oblada melanurus: Number of specimens detected. Parablennius gattorugine: Number of specimens detected. Sarpa salpa: Number of specimens detected.Seriola dumerili: Number of specimens detected. Serranus cabrilla: Number of specimens detected. Sparus aurata: Number of specimens detected. Symphodus mediterraneus: Number of specimens detected. Diplodus sargus: Number of specimens detected. Diplodus vulgaris: Number of specimens detected. Epinephelus costae: Number of specimens detected. Aetomylaeus bovinus: Number of specimens detected. Chromis chromis: Number of specimens detected. Coris julis: Number of specimens detected. Dentex dentex: Number of specimens detected. Diplodus cervinus: Number of specimens detected. Epinephelus marginatus: Number of specimens detected. Mullus surmuletus: Number of specimens detected. Muraena helena: Number of specimens detected. Oblada melanurus: Number of specimens detected. Parablennius gattorugine: Number of specimens detected. Sarpa salpa: Number of specimens detected. Seriola dumerili: Number of specimens detected. Serranus cabrilla: Number of specimens detected. Sparus aurata: Number of specimens detected. Symphodus mediterraneus: Number of specimens detected, Peer reviewed