Project-AgML/betel_leaf_disease_classification

Betel Leaf Disease Classification

A dataset for image classification of Betel Leaf Disease Classification. The dataset contains 3,589 images across 4 classes: Bacterial_Leaf_Disease, Dried_Leaf, Fungal_Brown_Spot_Disease, Healthy_Leaf.
Images per class:

• Bacterial_Leaf_Disease: 906
• Dried_Leaf: 898
• Fungal_Brown_Spot_Disease: 892
• Healthy_Leaf: 893

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

Rashid, Mohammad Rifat Ahmmad; Hossain, Md. Miskat ; Biswas, Joy ; Majumder, Hredoy (2024), “Betel Leaf Image Dataset from Bangladesh”, Mendeley Data, V2, doi: 10.17632/g7fpgj57wc.2