Project-AgML/teaLeafBD_disease_classification

Tealeafbd Disease Classification Classification

A dataset for image classification of Tealeafbd Disease Classification. The dataset contains 5,278 images across 7 classes: Brown Blight, Gray Blight, Green mirid bug, Healthy leaf, Helopeltis, Red spider, Tea algal leaf spot. Images per class:

• Brown Blight: 508
• Gray Blight: 1,013
• Green mirid bug: 1,282
• Healthy leaf: 935
• Helopeltis: 607
• Red spider: 515
• Tea algal leaf spot: 418

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

Citation

@article{alam2025tealeafbd,
  title={teaLeafBD: A comprehensive image dataset to classify the diseased tea leaf to automate the leaf selection process in Bangladesh},
  author={Alam, BM Shahria and Ahammed, Fahad and Kibria, Golam and Noor, Mohammad Tahmid and Shikdar, Omar Faruq and Mahzabin, Kazi Isat and Niloy, Nishat Tasnim and Ali, Md Nawab Yousuf},
  journal={Data in Brief},
  volume={61},
  pages={111769},
  year={2025},
  publisher={Elsevier}
}```

Alam, B M Shahria; Ahammed, Fahad; Kibria, Golam; Noor, Mohammad Tahmid; Shikdar, Omar Faruq; Mahazabin, Kazi Isat; Ali, Md Nawab Yousuf (2025), “teaLeafBD”, Mendeley Data, V4, doi: 10.17632/744vznw5k2.4