MangoDHDS: A Dataset of Diseased and Healthy Mangoes of 1.5 K Images

The Mango Diseased Healthy Dataset, named as MangoDHDS, is created by combining diseased and healthy mango fruit samples from various sources. This is labelled image dataset intended for training machine learning models to detect diseases in mango fruits. Dataset containing images of 256*256 in JPG format. Dataset comprises four diseases namely Anthracnose, Bacterial Canker, Scab, and Stem End Rot. An additional category in the dataset is healthy fruits. It contains total 1500 images of 5 categories including 300 images each. Diseased and healthy mango images are captured from various sources, such as research centers, ripening chambers, agricultural farms, and Jain Farm Fresh Foods Limited, Jalgaon, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli, and Kanhere Agro Products, Dapoli (India). Mangoes are a seasonal fruit; therefore, all images were taken between April and July from 2021 to 2023. All images are captured using smart phone camera with white background. Data was collected under the guidance of experts in agriculture, consulting plant pathology and research departments. MangoDHDS includes both preharvest and postharvest diseases. The dataset is useful for developing automated systems for tasks like disease detection through image analysis, classification using real world fruit images, fruit disease diagnosis applications, smart farming, recommendations according to diseases, calculating disease severity.

芒果病害健康数据集（Mango Diseased Healthy Dataset，简称MangoDHDS）整合多来源的病害与健康芒果果实样本图像构建而成。该数据集为带标注的图像数据集，旨在用于训练可检测芒果果实病害的机器学习模型。
数据集内所有图像均为256×256像素的JPG格式文件，涵盖炭疽病（Anthracnose）、细菌性溃疡病（Bacterial Canker）、疮痂病（Scab）、蒂腐病（Stem End Rot）4类病害，另设健康果实类别。数据集共包含1500张图像，分为5个类别，每类各300张。
病害与健康芒果图像采集自多类场景与机构，包括各类研究中心、催熟库房、农业农场，以及印度贾尔冈市的贾因新鲜食品农场有限公司、达波利市的德拉·巴拉萨布·索万特康坎农业大学与坎赫雷农产品公司。
芒果为季节性果品，因此所有图像均采集于2021年至2023年的4月至7月期间。所有图像均使用智能手机拍摄，背景为纯白色。本数据集的采集工作由农业领域专家指导，并咨询了植物病理学与相关研究部门的专业意见。
MangoDHDS涵盖采前与采后两类芒果病害。
该数据集可用于开发自动化系统，支持的任务包括基于图像分析的病害检测、真实场景果实图像分类、果实病害诊断应用、智慧农业、病害关联防控建议以及病害严重程度评估。