| --- |
| 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 |
