BDFreshFish: A Comprehensive Image Dataset for Machine Learning Applications on Bangladeshi Freshwater Fishes

The "BDFreshFish" dataset contains a set of image data for eight different categories of native freshwater fish from various parts of Bangladesh. The eight distinct classes of fish have the following scientific names: Anabas Testudineus, Batasio Tengana, Channa Punctata, Marcrobrachium malcoimsonii, Heteropneustes Fossilis, Mastacembelus Armatus, Ompok Bimaculatus, and Puntius Sophore. Our collection comprises 3100+ images across these eight classes, with 300 augmented images and approximately 100 raw images in each class. The majority of raw images originate from rivers in Bangladesh. The dataset has four primary fish species characteristics: head, body, scales, and fins. Each original image was taken in adequate natural light against the right backdrop. Each image was properly organized into an appropriate folder, allowing different machine learning and deep learning models to make the best use of the images. Utilizing this enormous dataset and various traditional machine learning (TML) and deep learning (DL) techniques, researchers could make significant advancements in analyzing particular fish category classifications to analyze the freshwater environment and fish movement.

搜集汇总

背景与挑战

背景概述

BDFreshFish数据集是一个专注于孟加拉国本地淡水鱼类的图像数据集，包含八种不同鱼类的超过3100张图像，每类提供约100张原始图像和300张增强图像，原始图像主要采集自河流环境。数据集强调鱼类的头部、身体、鳞片和鳍等关键特征，图像在自然光下拍摄并组织有序，适用于机器学习和深度学习模型，旨在促进鱼类分类分析和淡水环境研究。