A Dataset for Classification of Bottle Gourd Leaf Diseases

The Dataset for Classification of Bottle Gourd Leaf Diseases includes 1,102 high-quality JPEG images, thoughtfully collected to help identify and classify a range of common diseases found in bottle gourd plants. Captured in natural lighting and real-world settings, the images show leaves in various positions and backgrounds, making the dataset practical for training machine learning models that need to perform well in real farming environments. It features eight clearly labeled categories: Anthracnose is the most common with 491 images, followed by Mosaic Virus (249), Alternaria Leaf Blight (174), Healthy leaves (55), Downy Mildew (46), Early Alternaria Leaf Blight (45), Fungal Damage Leaf (31), and Angular Leaf Spot (11). Each class highlights unique visual symptoms like dark lesions, mosaic patterns, yellowing, or fungal damage. This diverse collection not only captures the visual complexity of leaf diseases but also serves as a reliable foundation for building intelligent, AI-driven tools to support farmers and researchers in early disease detection and plant health management.

葫芦叶病害分类数据集包含1102张高质量JPEG图像，经精心采集以助力识别与分类葫芦植株上的多种常见病害。该数据集的图像均在自然光照与真实农田场景下采集，涵盖不同生长位置与背景的叶片，使其可有效用于训练能在实际农业环境中表现优异的机器学习模型。该数据集包含8个标注清晰的类别：炭疽病（Anthracnose）最为常见，包含491张图像，其次为花叶病毒（Mosaic Virus，249张）、链格孢叶枯病（Alternaria Leaf Blight，174张）、健康叶片（Healthy Leaves，55张）、霜霉病（Downy Mildew，46张）、早期链格孢叶枯病（Early Alternaria Leaf Blight，45张）、真菌性损伤叶片（Fungal Damage Leaf，31张）与角斑病（Angular Leaf Spot，11张）。每个类别均具备独特的视觉症状，例如深色病斑、花叶纹路、叶片黄化或真菌性损伤。这一多样化的数据集不仅涵盖了叶部病害的视觉复杂性，还为构建智能AI驱动工具提供了可靠基础，可助力农户与研究人员实现病害早期检测与植株健康管理。