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.#描述： 玫瑰作为爱情、纯洁与深情的象征广受推崇，同时作为经济作物亦具备显著经济价值。然而，玫瑰植株常受多种叶部病害侵扰，此类病害既会削弱其观赏价值，也会降低其种植收益。为解决这一问题，我们构建了专用的玫瑰叶片图像数据集，以支撑机器学习领域尤其是病害识别方向的研究工作。 #数据集内容 本数据集通过实地走访Golaap Gram、Allah Vorsha苗圃与Daffodil苗圃采集所得，所有图像均于自然光下拍摄，以保障画面清晰度与细节还原度。数据集共包含4725张高质量玫瑰叶片图像，分为以下5个类别： 1. 黑斑病（Black Spot）：788张 2. 霜霉病（Downy Mildew）：390张 3. 花叶病（Mosaic）：436张 4. 虫害侵染（Insect Infested）：610张 5. 健康叶片（Healthy）：2501张 为提升该数据集的科研实用性，我们已对其完成多项预处理操作，包括图像分类、降噪、背景移除与数据增强。