Mussel farm image dataset - Gulf of La Spezia - Station 0001

Read full text
Authors: Simone Marini, Matteo Ferrando
Cited by: 0

Abstract

The dataset consits of underwater images showing fish activity within the mussel farm in the Gulf of La Spezia. The images are acquired by the autonomous and intelligent imaging device GUARD-1, installed on a surface buoy of the mussel farm in the gulf of La Spezia. The GUARD-1 is deployed at 3m depth and consists of an underwater camera equipped with a lighiting system that allow the image acquisition 24h per day. The device is also equipped with an onboard AI-based image analysis tool capable to recognize the fish specimens in order to automatically extract abundance time series and to select images with relevant content. The GUARD-1 device is connected to a 4G modem positioned on the surface buoy, inside a watertight case, that transmit the acquired images together with information extracted by the AI-based tool. Both the image acquisition frequency and the data transmission frequency are programmable by the user and can be managed through a remote connection or automatically by the AI-based tool. Full metadata: https://erddap.s4raise.it/erddap/info/cnr-ismar_guard1_0001/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026
Language
EN
Document type
Dataset