Datasets:

Project-AgML
/

teaLeafBD_disease_classification

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

@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