Deep Learning-Driven Identification of Parasitic Eggs in Pets Using YOLOv8

The dataset and associated source code employed in this study serve as the foundation for the automatic detection of parasitic eggs in fecal samples. The dataset is organized in the \dataset directory and contains microscopic images of parasitic eggs annotated in the YOLO format to facilitate supervised training. Detailed documentation of the program structure and implementation is provided in the accompanying readme.docx file, which outlines the directory organization, data flow, and code execution procedures.

本研究所用数据集与配套源代码，为粪便样本寄生虫卵自动检测任务提供了核心支撑。该数据集存储于dataset目录下，包含以YOLO格式标注的寄生虫卵显微图像，以方便开展监督训练。配套的readme.docx文件中提供了程序结构与实现细节的完整说明，详细梳理了目录组织、数据流及代码执行流程。