---
configs:
- config_name: default
  default: true
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Brown Blight
          '1': Gray Blight
          '2': Green mirid bug
          '3': Healthy leaf
          '4': Helopeltis
          '5': Red spider
          '6': Tea algal leaf spot
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---

# 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

```bibtex
@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