Rose Leaf Disease Detection Dataset

#Description:
Roses are widely valued as symbols of love, purity, and affection, and they also hold significant economic value as a commercial crop. Unfortunately, rose plants are often impacted by various leaf diseases that reduce both their aesthetic appeal and profitability. To help address this issue, we created a specialized dataset of rose leaf images to support research in machine learning, specifically for disease identification.

#Dataset Content
This dataset was collected through field visits to Golaap Gram, Allah Vorsha Nursery, and Daffodil Nursery, with images captured under natural daylight to ensure clarity and detail. It includes 4,725 high-quality rose leaf images, organized into five categories:
1. Black Spot: 788 images
2. Downy Mildew: 390 images
3. Mosaic: 436 images
4. Insect Infested: 610 images
5. Healthy: 2,501 images
To optimize its utility for research, the dataset has undergone preprocessing steps, including image classification, noise reduction, background removal, and augmentation.

{'#Description': '玫瑰作为爱情的象征、纯洁与亲情的表征，其经济价值亦不容小觑，然常受各类叶片病害侵扰，既损美观亦减收益。为应对此问题，本团队精心构建了一项专门针对玫瑰叶片图像的数据库，旨在助力机器学习研究，尤其是病害识别领域的发展。', '#Dataset Content': '该数据集通过实地考察Golaap Gram、Allah Vorsha苗圃及Daffodil苗圃，于自然光照条件下采集图像，确保图像清晰度与细节。包含4,725张高品质玫瑰叶片图像，分为五大类别：
1. 黑斑病：788张图像
2. 霜霉病：390张图像
3. 空斑病：436张图像
4. 虫害侵染：610张图像
5. 健康叶片：2,501张图像。为提升数据集在研究中的实用性，已对图像进行预处理，包括分类、噪声消除、背景去除及增强等步骤。'}

搜集汇总

背景与挑战

背景概述

该数据集是一个专门用于玫瑰叶片病害检测的机器学习研究数据集，包含4,725张高质量图像，涵盖黑斑病、霜霉病、花叶病、虫害和健康叶片五个类别。数据集通过实地采集并在自然光下拍摄，经过预处理如分类、降噪和增强，旨在支持病害自动识别研究，以提高玫瑰作物的经济价值和美观性。