COVID-19 X光数据集（训练集与测试集）

COVID-19 X-ray数据集是一个专用于深度学习的医学图像数据集，包含数千张胸部X-ray图像，标注类别为COVID-19、正常和肺炎。数据集经过标准化预处理，图像质量统一，适用于训练和评估分类模型。其主要特点是标签清晰、数据来源可靠，广泛应用于传染病智能诊断、医学影像分析和自动化辅助诊断系统中，助力疫情防控中的快速筛查与识别。

The COVID-19 X-ray Dataset is a medical imaging dataset dedicated to deep learning, containing thousands of chest X-ray images with annotated categories including COVID-19, normal, and pneumonia. The dataset has undergone standardized preprocessing with uniform image quality, making it suitable for training and evaluating classification models. Its main features include clear labels and reliable data sources, and it is widely used in intelligent infectious disease diagnosis, medical image analysis, and automated auxiliary diagnosis systems, aiding rapid screening and recognition during epidemic prevention and control.