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

Description

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.

Institutions

• University of Shanghai for Science and Technology
• Anhui Sanlian University

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