RiceyLeafDisease: An Extensive Image Dataset of Diverse Rice Leaf Diseases from Different Regions of Bangladesh.

Published: 27 December 2023| Version 1 | DOI: 10.17632/t46kkgh2yw.1
Mehedi Hasan, Sonia Khatun, Md. Abu Raihan, Abdul Hasib Uddin


This is a rice leaf disease dataset: This data set contains an image dataset of eight different Bangladeshi rice leaf diseases—There are 1,701 original images in the entire collection. We gathered these photographs over a period of four months, from July 2023 to October 2023, from separate locations of Sirajganj and Pabna Zilla under a variety of outdoor lighting situations as well as inside lighting with acceptable backgrounds. The file also includes 5188 extra augmented photos. The data set contains eight rice leaf diseases,Bacterial Leaf Blight (Xanthomonas oryzae pv. oryzae), Brown Spot (Cochliobolus miyabeanus), Leaf scald (Microdochium oryzae), Narrow Brown Leaf Spot (Cercospora janseana), Rice Hispa (Dicladispa armigera), Sheath Blight (Rhizoctonia solani), Leaf Blast (Pyricularia oryzae) and Healthy Rice Leaf. This dataset will benefit researchers applying machine learning in several ways.



Khwaja Yunus Ali University


Artificial Intelligence, Disease, Machine Learning, Bacterial Disease, Rice, Image Classification, Asian Rice, Deep Learning