Fish-gres Dataset for Fish Species Classification

Fish-gres dataset consists of 8 fish species, where the number of images on each species varies from 240 images to 577 images. This difference is due to the availability of random samples taken in traditional markets in Gresik, East Java, Indonesia. All of the species can easily be found in the traditional markets where the dataset was created. Image acquisition was carried out under various background conditions and the number of fish species varies in the traditional market in Gresik Regency, East Java, Indonesia. The resolution of the acquisition image is 4160x3120 pixels, then we resize the image to 390x520 pixels. The species of the fish are as follows, Chanos Chanos (500 images), Johnius Trachycephalus (240 images), Nibea Albiflora (252 images), Rastrelliger Faughni (544 images), Upeneus Moluccensis (577 images), Eleutheronema Tetradactylum (240 images), Oreochromis Mossambicus (331 images), and Oreochromis Niloticus (564 images), respectively. For use this dataset, please cite this related article: Prasetyo, E., Suciati, N., & Fatichah, C. (2021). Multi-level residual network VGGNet for fish species classification. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2021.05.015

Fish-gres数据集包含8种鱼类，各物种对应的图像样本量介于240至577张之间。该样本量差异源于印度尼西亚东爪哇省格雷西县传统市场中随机采样的可获得性差异。本数据集涵盖的所有鱼类物种，在采集地的格雷西传统市场中均较为常见。图像采集在多种背景条件下完成，且格雷西县传统市场的鱼类物种分布存在天然差异。采集得到的原始图像分辨率为4160×3120像素，随后被统一调整至390×520像素。

本次数据集包含的鱼类物种及对应样本量依次为：遮目鱼（Chanos Chanos）500张、皮氏叫姑鱼（Johnius Trachycephalus）240张、白纹黄姑鱼（Nibea Albiflora）252张、短体鲭（Rastrelliger Faughni）544张、摩鹿加绯鲤（Upeneus Moluccensis）577张、四指马鲅（Eleutheronema Tetradactylum）240张、莫桑比克罗非鱼（Oreochromis Mossambicus）331张以及尼罗罗非鱼（Oreochromis Niloticus）564张。

若需使用本数据集，请引用以下相关文献：Prasetyo, E., Suciati, N., & Fatichah, C. (2021). 用于鱼类物种分类的多级残差VGGNet网络. 沙特国王大学计算机与信息科学学报. https://doi.org/10.1016/j.jksuci.2021.05.015

搜集汇总

背景与挑战

背景概述

Fish-gres Dataset是一个包含8种鱼类的图像数据集，每种鱼类的图像数量从240到577不等，图像分辨率为390x520像素，采集于印度尼西亚东爪哇省Gresik的传统市场，适用于鱼类物种分类研究。