A Comprehensive dataset on diseases affecting rose leaves: Identification, Symptoms, and Control Strategies
收藏doi.org2025-03-23 收录
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http://doi.org/10.17632/hmjtdzkfh3.2
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资源简介：
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
本数据集详尽地收录了影响蔷薇叶片的疾病图像，包含3,113张高分辨率图像以及15,500张经过增强的图像（已调整至640x480像素），并根据疾病类型进行分类，旨在辅助识别与控制策略研究。该数据集旨在为深度学习与机器学习模型的训练，以及研究植物病理学、害虫管理和蔷薇栽培中的疾病预防提供支持。图像拍摄于2024年10月30日至11月6日，总计约8天。
总计原始图像：3,113张图像
总计增强图像：15,500张图像
分辨率：调整至640x480像素
类别：四类疾病
类别1：黑斑病
类别2：健康叶片
类别3：枯叶
类别4：叶片孔洞
类别内图像数量：原始数据中每个类别至少包含300张图像
用途：疾病检测、植物病理学研究以及控制策略的开发
提供机构：
Mendeley Data
