PDDI是一个基于YOLOv8深度学习模型的植物病虫害检测系统，提供Web界面支持实时检测、模型训练和评估功能。系统采用模块化设计，包含训练、测试和检测三大核心模块，支持可视化监控和性能分析。项目使用改进的PlantVillage数据集（54,000+图像），要求Python 3.8+环境，推荐GPU加速。主要功能包括：实时病虫害识别、训练过程可视化、模型性能评估及优化。系统通过Streamlit构建响应式界面，提供从数据准备到模型部署的全流程支持。核心代码展示了模型训练的参数
☆15Jul 7, 2025Updated last year
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