| --- |
| 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 |
