Florida Wildlife Camera Trap Dataset

Florida Wildlife Camera Trap Dataset 是由中佛罗里达大学创建的一个包含104,495张野生动物图像的数据集，主要用于生态保护和生物多样性研究。该数据集涵盖了22个不同的物种类别，特别关注濒危物种如佛罗里达豹。数据收集自南佛罗里达的两个不同地点，通过非侵入性摄像头捕捉，图像具有多种光照条件和物种分布不均等特点。数据集的创建过程涉及大量志愿者的手动分类和整理。该数据集的应用领域主要集中在野生动物统计建模和生态系统监测，旨在通过自动化图像分类技术提高物种识别的效率和准确性，从而支持濒危物种的保护工作。

The Florida Wildlife Camera Trap Dataset, developed by the University of Central Florida, is a collection of 104,495 wildlife images primarily intended for ecological conservation and biodiversity research. This dataset covers 22 distinct animal species categories, with a particular focus on endangered species such as the Florida panther. Data was collected from two separate locations in Southern Florida via non-invasive camera trapping, and the images exhibit varied lighting conditions and an uneven distribution of species. The development of this dataset involved extensive manual classification and curation by volunteers. The primary application areas of this dataset focus on wildlife statistical modeling and ecosystem monitoring. It aims to improve the efficiency and accuracy of species identification through automated image classification techniques, thereby supporting conservation efforts for endangered species.