Mango Leaf Disease Dataset

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