The Gloria2 fish farm escapes identification dataset (v1.0)

This is version 1.0 of the GLORiA2 dataset, which can be used for the training of computer vision models aimed at detecting fish farm escapes caused by sea storms. Escaped fish can be recognized based on their appearance from pictures taken in lab conditions, when compared to farmed and wild specimens. Several images of fish specimens raised in captivity (C), farm escapes (E), and the sea (S) are provided for each of the three considered commercial species: Mediterranean sea bream (S. aurata), sea bass (D. labrax), and meagre (A. regius). The images provided are 224x224 crops of the original images, centred around the fish in the image, as preprocessed by the accompanying Python scripts. Acknowledgement: GLORiA2 is a project supported by the Biodiversity Foundation of the Ministry for the Ecological Transition, through the FEMP Pleamar Programme. It is also part of the LIFE IP INTEMARES project "Integrated, innovative and participatory management of the Natura 2000 Network in the Spanish marine environment", coordinated by the Ministry, through the Biodiversity Foundation.

本数据集为GLORiA2数据集（GLORiA2）的1.0版本，可用于训练旨在检测海洋风暴引发的水产养殖鱼类逃逸事件的计算机视觉模型。通过将实验室环境下拍摄的逃逸鱼类图像，与养殖标本及野生标本的外观进行比对，即可实现逃逸鱼类的识别。本数据集为三类选定的目标商用养殖鱼类提供了三种类型的标本图像：人工饲养（Captive, C）、养殖逃逸（Escape, E）及野生海域来源（Sea, S）标本，涉及物种分别为地中海金头鲷（Sparus aurata，S. aurata）、欧洲海鲈（Dicentrarchus labrax，D. labrax）及白姑鱼（Argyrosomus regius，A. regius）。本次提供的图像均为原始图像经配套Python脚本预处理后的224×224像素裁剪图，裁剪中心以图像中的鱼类为基准。致谢：GLORiA2项目由西班牙生态转型部生物多样性基金会通过FEMP普莱马尔（Pleamar）计划资助，同时隶属于该部门通过生物多样性基金会牵头协调的LIFE IP INTEMARES项目——"西班牙海洋环境Natura 2000网络一体化、创新性与参与式管理"。

搜集汇总

背景与挑战

背景概述

该数据集是GLORiA 2项目的v1.0版本，专门用于训练检测海上风暴导致鱼类养殖场逃逸的计算机视觉模型。数据集包含三种商业鱼类（地中海海鲷、海鲈和石首鱼）在养殖环境、逃逸状态和野生环境下的224x224预处理图像，图像已通过配套Python脚本进行中心裁剪处理。数据集以压缩包形式提供，总大小约72.3MB，发布于2022年9月1日，采用知识共享署名4.0国际许可协议。