NativeAnimalBD: A Hierarchical Image Dataset of Bangladeshi Native Animals

The Bangladeshi Native Animal Image Dataset (NativeAnimalBD) is a curated collection of 8,000 high-quality images representing five major classes of native Bangladeshi fauna. The dataset is designed for research in computer vision, hierarchical image classification, and deep learning. The dataset is organized hierarchically, with five main classes, each comprising five subclasses. Every subclass contains 400 images, resulting in 2,000 images per main class. The hierarchical structure is as follows: Aves: Heron, Kingfisher, Magpie, Sparrow, Parrot Fish: Byen, Koi, Sing, Taki, Tengra (empty folders; images available via the BDINDIGENOUSFISH2019 dataset: GitHub link) Insecta: Ants, Bee, Butterfly, Dragonfly, Grasshopper Mammals: Asian Elephant, Indian Leopard, Royal Bengal Tiger, Spotted Deer, Wild Boar Reptiles: Crocodile, Gharial, Lizard, Snake, Turtle Dataset Structure:The dataset is arranged in a folder-based hierarchy, where each main class contains separate folders for its subclasses. This organization facilitates hierarchical classification experiments, benchmarking, and reproducible research. The dataset is distributed as separate compressed files for each main class (Aves, Fish, Insecta, Mammals, Reptiles) to ensure stable downloading and efficient file management. Intended Use: "Academic research in computer vision and machine learning" "Hierarchical animal classification studies" "Educational purposes and dataset benchmarking" License and Attribution: Images (excluding the Fish class) were collected from Unsplash and Pexels and remain subject to their respective licenses. Users must comply with the original license terms of these platforms. Fish images are not redistributed in this dataset. Users are advised to obtain them directly from the BDINDIGENOUSFISH2019 repository.孟加拉本土动物图像数据集（NativeAnimalBD）是一套精心整理的高质量图像集合，共包含8000张图像，涵盖孟加拉本土野生动物的5个主要类别。本数据集专为计算机视觉、层级图像分类以及深度学习领域的研究而构建。 数据集采用层级化组织结构，包含5个主类别，每个主类别下设5个子类别。每个子类别均包含400张图像，因此每个主类别对应2000张图像。层级结构如下： 鸟纲（Aves）：苍鹭、翠鸟、喜鹊、麻雀、鹦鹉 鱼纲（Fish）：Byen、Koi、Sing、Taki、Tengra（文件夹为空；图像可通过BDINDIGENOUSFISH2019数据集获取：GitHub链接） 昆虫纲（Insecta）：蚂蚁、蜜蜂、蝴蝶、蜻蜓、蚱蜢 哺乳纲（Mammals）：亚洲象、印度豹、孟加拉虎、梅花鹿、野猪 爬行纲（Reptiles）：鳄鱼、恒河鳄、蜥蜴、蛇、龟 数据集结构： 本数据集采用基于文件夹的层级组织结构，每个主类别均为其子类别创建独立文件夹。该结构便于开展层级分类实验、基准测试以及可复现性研究。 本数据集按主类别（鸟纲、鱼纲、昆虫纲、哺乳纲、爬行纲）分别打包为压缩文件进行分发，以确保下载稳定且文件管理高效。 预期用途： "计算机视觉与机器学习领域的学术研究" "层级化动物分类研究" "教育用途及数据集基准测试" 授权与署名说明： 除鱼纲类别外，其余图像均采集自Unsplash与Pexels平台，仍受平台原授权协议约束。用户需遵守这些平台的原始授权条款。 本数据集未重新分发鱼纲类别图像，建议用户直接从BDINDIGENOUSFISH2019仓库获取相关图像。