Image Dataset of Red and White Onion Bulbs and Leaves

This dataset provides a structured collection of 24,000 images of red and white onion (Allium cepa L.) bulbs and leaves, developed to facilitate research in agriculture, computer vision, and machine learning. Bulb images are organized into red onion and white onion categories, which are further divided into healthy and unhealthy groups, and sub-categorized into single and multiple bulb samples. The dataset also includes pure red onion, pure white onion, and mixed samples (e.g., 1WO9RO indicates 1 White Onion and 9 Red Onions), enabling both variety identification and mixed-sample recognition. Leaf images are classified into healthy, unhealthy, single-leaf, and multiple-leaf categories, making the dataset suitable for plant health assessment and phenotyping tasks. All images have been standardized to a uniform resolution of 1024 × 720 pixels using IrfanView software, with serial numbering applied for traceability. The dataset provides only raw images, allowing users to perform their own augmentation and preprocessing.本数据集提供了24000张结构化的红皮与白皮洋葱（Allium cepa L.，普通洋葱）鳞茎及叶片图像，专为支撑农业、计算机视觉与机器学习领域的研究而构建。鳞茎图像分为红皮洋葱与白皮洋葱两大类，每类进一步划分为健康与不健康组别，并细分为单鳞茎与多鳞茎样本子类别。本数据集还涵盖纯红皮洋葱、纯白皮洋葱及混合样本（例如1WO9RO代表1个白皮洋葱与9个红皮洋葱），既可用于品种识别研究，也支持混合样本识别任务。叶片图像则被归类为健康、不健康、单叶片与多叶片类别，适用于植物健康评估与表型分析相关任务。所有图像均已通过IrfanView软件统一调整至1024×720像素的分辨率，并添加序列号以实现可追溯性。本数据集仅提供原始图像，允许用户自行开展数据增强与预处理操作。