Chinese Rose Leaf Disease Dataset

The dataset is named Chinese rose disease dataset, including healthy leaves, black spot leaves, powdery mildew leaves and downy mildew leaves. All images in this dataset were collected from Nanyang City, Henan Province, China. And  all images were collected under natural conditions in order to ensure the true execution of the images. To improve the image variety, we randomly enhance the images in the dataset by flipped, changed the brightness, added Salt and pepper noise and added Gaussian noise. Finally, the dataset was divided into a training set, a validation set, and a test set according to a ratio of 6:2:2.

该数据集名为月季病害数据集，包含健康叶片、黑斑病叶片、白粉病叶片及霜霉病叶片。数据集内所有图像均采集于中国河南省南阳市，且均在自然条件下获取，以确保图像的真实性。为提升图像多样性，我们对数据集中的图像进行随机增强处理，包括翻转、调整亮度、添加椒盐噪声（Salt and pepper noise）及高斯噪声（Gaussian noise）。最终，数据集按6:2:2的比例划分为训练集、验证集和测试集。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于中国玫瑰叶片病害识别的图像数据集，包含健康叶片、黑斑叶、白粉病叶和霜霉病叶四种类别，所有图像在中国河南省南阳市自然条件下采集，确保真实性。数据集通过翻转、亮度调整和噪声添加等方式增强，并按6:2:2比例划分为训练、验证和测试集，适用于卷积神经网络等机器学习模型训练。