Datasets:

Project-AgML
/

CS-D_tea_leaf_disease_classification

configs:
  - config_name: default
    default: true
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Blister_Blight
              '1': Brown_Blight
              '2': Healthy_leaves
              '3': Leaf_Red_Rust
              '4': Red_Spider_Mite
              '5': Tea_Mosquito_Bug
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 10K<n<100K

Tea Leaf Disease Classification

A dataset for disease classification of tea leaves. The dataset contains 80,329 images across 6 classes: Blister_Blight, Brown_Blight, Healthy_leaves, Leaf_Red_Rust, Red_Spider_Mite, Tea_Mosquito_Bug. Images per class:

Blister_Blight: 13,500
Brown_Blight: 13,500
Healthy_leaves: 12,829
Leaf_Red_Rust: 13,500
Red_Spider_Mite: 13,500
Tea_Mosquito_Bug: 13,500

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

Citation

@article{gupta2025cs,
  title={CS-D: A dataset for disease in tea leaf (Camellia sinensis) from Assam},
  author={Gupta, Megha and Garg, Sunaina and Deb, Nabamita and Pandey, Piyush},
  journal={Data in Brief},
  pages={112251},
  year={2025},
  publisher={Elsevier}
}```

Gupta, Megha (2025), “Tea Leaf Dataset”, Mendeley Data, V1, doi: 10.17632/94fzcdz8gz.1