Hibiscus Leaf Image Dataset: High-Resolution Collection of Healthy and Diseased Leaves

This dataset includes 480 high-resolution images of Hibiscus leaves, systematically categorized into Healthy_Leaf (240 images) and Diseased_Leaf (240 images). Developed to support research in plant disease detection, this dataset is suitable for applications in machine learning and computer vision, particularly in the classification and analysis of leaf health.

All images were captured using a OnePlus mobile device under controlled conditions, ensuring consistency in quality and focus across the dataset. The camera settings for each image include a focal length of 5.59 mm, aperture of f/1.8, ISO 64, no flash, and an image resolution of 4096 x 3072 pixels. These standardized parameters help to provide a uniform dataset, which is beneficial for accurate training and validation in machine learning models.

The dataset is organized into a main folder, Hibiscus_Healthy_Diseased_leaf_Dataset, with two subfolders. The Healthy_Leaf folder contains 240 images of healthy Hibiscus leaves with no visible signs of disease, while the Diseased_Leaf folder contains 240 images displaying various symptoms of disease. This structure allows researchers and developers to easily navigate and utilize the dataset for studies on plant health, disease detection, and automated diagnosis.

本数据集包含480张高分辨率海棠叶图像，系统性地分为健康叶片（240张）和病态叶片（240张）两大类。旨在支持植物病害检测的研究，该数据集适用于机器学习和计算机视觉领域，特别是在叶片健康分类与分析中的应用。所有图像均采用OnePlus手机在受控环境下拍摄，确保了数据集中图像质量与焦点的统一性。每张图像的相机设置包括焦距5.59毫米、光圈f/1.8、ISO 64、无闪光灯以及4096 x 3072像素的图像分辨率。这些标准化参数有助于提供统一的数据集，这对于机器学习模型的准确训练与验证具有积极作用。数据集组织在一个主文件夹Hibiscus_Healthy_Diseased_leaf_Dataset中，包含两个子文件夹。健康叶片文件夹包含240张无病态可见症状的健康海棠叶图像，而病态叶片文件夹则包含240张显示各种病害症状的图像。这种结构便于研究人员和开发者轻松导航并利用数据集进行植物健康、病害检测和自动诊断等研究。