FeathersV1

FeathersV1是由萨马拉大学创建的一个包含28,272张羽毛图像的数据集，涵盖595种鸟类。该数据集旨在通过单一羽毛图像进行鸟类物种的分类，适用于业余和专业鸟类学研究。数据集内容丰富，包括不同鸟类的羽毛图像，图像来源于互联网上的羽毛收藏家。创建过程中，研究团队从多个来源收集图像，并手动将每张图像分割成单个羽毛图像。FeathersV1的应用领域包括航空鸟类学、业余鸟类学和羽毛收藏，旨在通过视觉识别技术解决鸟类物种识别的问题。

FeathersV1 is a dataset developed by Samara University, which contains 28,272 feather images covering 595 bird species. This dataset is designed for bird species classification using single feather images, and is applicable to both amateur and professional ornithological research. The dataset encompasses a diverse set of feather images from various bird species, sourced from online feather collectors. During the creation process, the research team collected images from multiple sources, and manually segmented each image to obtain individual feather samples. The application fields of FeathersV1 include aerial ornithology, amateur ornithology and feather collection, and it is intended to address bird species identification issues via visual recognition technologies.