A Comprehensive dataset on diseases affecting rose leaves: Identification, Symptoms, and Control Strategies

A Comprehensive dataset on diseases affecting rose leaves: contains 3,113 high-resolution images and 15,500 augmented images (resized to 640x480) of rose leaves, categorized by disease type to assist in identification and control strategy research. The dataset is designed for training deep learning and machine learning models and studying plant pathology, pest management, and disease prevention in rose cultivation. The images were taken from October 30 - November 6, 2024 , approximately 8 days. Total Original Images: 3,113 images Total Augmented Images: 15,500 images Resolution: Resized to 640x480 pixels Categories: Four disease classes Class 1: Black Spot Class 2: Healthy Leaf Class 3: Dry Leaf Class 4: Leaf Holes Image Count per Class: At least 300 images per category in original data Purpose: Disease detection, research in plant pathology, and development of control strategies本数据集为玫瑰叶片病害综合数据集，包含3113张高分辨率原始图像与15500张增强图像（图像尺寸统一调整为640×480像素），所有图像按病害类型分类，可辅助开展病害识别与防控策略研究。本数据集专为训练深度学习与机器学习模型，以及研究玫瑰栽培中的植物病理学、虫害治理及病害防控问题而设计。图像采集时间为2024年10月30日至11月6日，共计约8天。 原始图像总数：3113张 增强图像总数：15500张 分辨率：统一调整为640×480像素 类别划分：共4个病害类别 类别1：黑星病（Black Spot） 类别2：健康叶片 类别3：干枯叶片 类别4：叶片孔洞 单类别图像规模：原始数据中每个类别至少包含300张图像 应用方向：病害检测、植物病理学研究及防控策略开发