Datasets Comparison

This is a rice leaf disease dataset: This data set contains an image dataset of eight different Bangladeshi rice leaf diseases—including Belkuchi, Sirajganj, Bangladesh with images of rice leaves from different fields. Images were collected by taking pictures with high-resolution mobile phone cameras. The data set contains eight rice leaf diseases, with a minimum data of 163 and a maximum of 310 images, namely, bacterial leaf blight, brown spot, leaf blast, leaf scald, rice hispa, narrow brown leaf spot, and rice sheath blight. , and healthy rice leaves. This dataset will benefit researchers applying machine learning in several ways. In this data set, separate folders have been made for training, testing, validation. So that everyone can easily work with this data set.

Disease, Bacterial Disease, Rice

Creative Commons Attribution 4.0 International

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.

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

Creative Commons Attribution 4.0 International