---
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

```bibtex
@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