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