HFinder training dataset

This dataset contains curated microscopy images and annotations used for training and fine-tuning HFinder, a deep-learning-based tool for detecting and classifying hyphal and infection-related structures in plant-oomycete interactions. It includes annotated images from multiple host-pathogen systems and experimental conditions, and is intended to support reproducible training, benchmarking, and reuse of machine-learning models for plant pathology image analysis.本数据集包含经人工精选整理的显微图像与标注集，用于训练与微调HFinder——一款基于深度学习的工具，可检测并分类植物-卵菌（plant-oomycete）互作过程中的菌丝与侵染相关结构。该数据集涵盖了来自多种寄主-病原系统及不同实验条件的标注图像，旨在为植物病理学图像分析领域的机器学习模型提供可复现训练、基准评测与复用支持。