Project-AgML/tea_leaf_disease_classification

Tea Leaf Disease Classification

A dataset for disease classification of tea leaves. The dataset contains 5,867 images across 6 classes: algal_spot, brown_blight, gray_blight, healthy, helopeltis, red_spot.
Images per class:

• algal_spot: 1,000
• brown_blight: 867
• gray_blight: 1,000
• healthy: 1,000
• helopeltis: 1,000
• red_spot: 1,000

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

Citation

@article{BALASUNDARAM2025103784,
title = {Tea leaf disease detection using segment anything model and deep convolutional neural networks},
journal = {Results in Engineering},
volume = {25},
pages = {103784},
year = {2025},
issn = {2590-1230},
doi = {https://doi.org/10.1016/j.rineng.2024.103784},
url = {https://www.sciencedirect.com/science/article/pii/S2590123024020279},
author = {Ananthakrishnan Balasundaram and Prem Sundaresan and Aryan Bhavsar and Mishti Mattu and Muthu Subash Kavitha and Ayesha Shaik}
}

https://www.kaggle.com/datasets/saikatdatta1994/tea-leaf-disease