Hibiscus Leaf Diseases Classification Dataset

The Hibiscus Leaf Diseases Classification Dataset features 1,101 high-quality JPEG images (560×420 pixels) of hibiscus leaves, collected from a variety of locations across Bangladesh, including Dhaka, Khulna, Rajshahi, and other diverse growing regions. The dataset was created to help classify leaves into eight categories based on their condition: healthy (473 images), mild edge damage (226), citruspot (150), slidely disease (109), early mild spotting (83), fungal infected (28), senescent (30), and wrinkled (26). These images were captured in natural outdoor lighting using both smartphones and DSLR cameras, offering a realistic and varied visual set. By reflecting the natural diversity and challenges found in the field, this dataset provides a practical and valuable foundation for researchers and developers working on plant disease detection, image classification, and innovative agriculture tools.木槿叶病害分类数据集（Hibiscus Leaf Diseases Classification Dataset）包含1101张高质量JPEG格式图像（分辨率为560×420像素），采集自孟加拉国境内达卡、库尔纳、拉杰沙希等多个多元化种植区域。本数据集旨在依据叶片健康状况将其划分为8个类别：健康叶片（473张）、轻度叶缘损伤（226张）、citruspot病害（150张）、slidely病害（109张）、轻度早期斑点病（83张）、真菌侵染叶片（28张）、衰老叶片（30张）以及皱缩叶片（26张）。所有图像均在自然户外光照条件下拍摄，拍摄设备涵盖智能手机与数码单反相机（DSLR），可提供真实且多样化的视觉样本集。该数据集还原了田间自然环境下的多样性与实际挑战，可为从事植物病害检测、图像分类及创新农业工具研发的研究人员与开发者提供兼具实用性与宝贵价值的研究基础。