FlowerNet: An extensive rose leaves dataset for disease recognition applying machine learning and deep learning models

(1) Plant diseases are the leading cause of decreased agricultural output, which leads to economic losses. Rose is known as both the "Queen of Flowers" and the "King of Flowers." This implies that it possesses both kingliness (magnificence, status, and power) and queenliness (beauty, grace, and cultural refinement). Rose illnesses, on the other hand, have a detrimental effect on rose production.
(2) Computer vision and image processing have a big influence on detecting numerous illnesses in flowering plants.
(3) The collection comprises images of diseased Rose leaves as well as disease-free Rose leaves, which may be used to construct an automated method for researchers to forecast illnesses in Rose Flowers. The dataset includes two Rose diseases: black spot and downy mildew. Aside from the disease-free leaves, the dataset also includes them.
(4) This section includes two types of datasets: the original dataset (a total of 917 photos) and the augmented dataset (a total of 4342 images). Each picture has a generalized dimension of 512*512 pixels.
(5) The photos were personally taken from the Village of Roses (Golap Gram), Sadullapur Road Birulia Bridge, Dhaka 1216, Bangladesh, with the assistance of domain specialists and a plant study institute.

(1) 植物病害是导致农业产量下降、进而引发经济损失的首要诱因。月季（Rose）素有"花中皇后"与"花中君王"的雅称，这意味着其兼具王者风范（宏伟壮观、高贵地位与影响力）与女王气质（秀美雅致、兼具文化内涵）。而月季病害则会对月季种植生产造成不利影响。
(2) 计算机视觉与图像处理技术在诸多显花植物的病害检测中发挥着重要作用。
(3) 本数据集包含感病月季叶片与健康月季叶片的图像，可用于构建自动化检测方法，助力研究人员预测月季花卉病害。本次数据集涵盖两种月季病害：黑斑病（black spot）与霜霉病（downy mildew），同时包含健康无病的叶片样本。
(4) 本数据集包含两类子数据集：原始数据集（共917张图像）与增强数据集（共4342张图像），所有图像的统一尺寸均为512×512像素。
(5) 本数据集的图像由研究团队在领域专家与某植物研究机构协助下，于孟加拉国达卡市萨杜拉普尔路比鲁利亚桥附近的玫瑰村（Golap Gram）实地拍摄采集。

搜集汇总

背景与挑战

背景概述

FlowerNet是一个专注于玫瑰叶片疾病识别的数据集，包含黑斑病、霜霉病和健康叶片的图像，总计5259张（原始+增强），图像尺寸统一为512x512像素。该数据集专为机器学习和深度学习模型设计，支持农业病害自动检测研究。