Papaya Leaf Disease Image Dataset

This dataset comprises a comprehensive collection of 3626 raw images and 18,130 augmented images of papaya leaves, capturing a diverse range of diseases and healthy conditions. Originally sourced from Ashulia, Bangladesh, the dataset includes 8 distinct classes: Anthracnose (230 images), Bacterial Spot (214 images), Curl (778 images), Healthy (594 images), Mealybug (182 images), Mite Disease (552 images), Mosaic (546 images), and Ringspot (530 images). This dataset serves as a valuable resource for researchers and practitioners in agricultural science, machine learning, and plant pathology, facilitating the development of automated disease detection and classification systems. Each image is labeled according to its corresponding class, providing a robust foundation for training and validating models aimed at enhancing papaya crop health and management.本数据集收录了3626张原始番木瓜叶图像与18130张经数据增强处理的番木瓜叶图像，涵盖了多种病害与健康生长状态的样本。该数据集原始采集自孟加拉国阿舒利亚地区，共包含8个明确类别：炭疽病（Anthracnose）230张图像、细菌性斑点病（Bacterial Spot）214张、曲叶病（Curl）778张、健康叶片（Healthy）594张、粉蚧虫害（Mealybug）182张、螨类病害（Mite Disease）552张、花叶病（Mosaic）546张以及环斑病（Ringspot）530张。本数据集可为农业科学、机器学习与植物病理学领域的研究人员及从业者提供宝贵的研究资源，助力自动化病害检测与分类系统的研发。所有图像均已按对应类别完成标注，可为用于提升番木瓜作物健康管理水平的模型训练与验证提供坚实的基础。