Mango Leaf Disease Dataset
Description
This dataset contains 2,336 processed and 12,730 augmented images of mango leaves, capturing seven diseases and healthy leaves, organized into eight classes to support machine learning in disease detection and plant health monitoring. Images were collected from mango trees in Kashinathpur (Pabna) and Changao (Savar, Dhaka), Bangladesh, using a mobile phone camera over 20 days (October 15 - November 4, 2024). #Classes and Image Count: Anthracnose: 326 images Bacterial Canker: 343 images Cutting Weevil: 307 images Die Back: 320 images Gall Midge: 319 images Powdery Mildew: 206 images Sooty Mould: 265 images Healthy: 250 images #Purpose: Facilitates machine learning model development for mango leaf disease detection. Supports biodiversity research and education on tropical plant health. Assists farmers and agricultural specialists in early disease identification for better crop management