| --- |
| configs: |
| - config_name: augmented |
| data_files: |
| - split: train |
| path: augmented/train-* |
| - config_name: raw |
| data_dir: raw |
| default: true |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 10K<n<100K |
| dataset_info: |
| - config_name: augmented |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Tea Algal Spotout |
| '1': Tea Brown Blight |
| '2': Hibiscus Citruspot |
| '3': Hibiscus Early_Mild_Spotting |
| '4': Hibiscus Fungal |
| '5': Tea Grey Blight |
| '6': Hibiscus Healthy |
| '7': Hibiscus Mild_Edge__Damage |
| '8': Tea Red Spot |
| '9': Hibiscus Senescent |
| '10': Hibiscus Slightly_Diseased |
| '11': Hibiscus Wrinkled_Leaf |
| - name: crop_type |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 496814360 |
| num_examples: 12417 |
| download_size: 4348120249 |
| dataset_size: 496814360 |
| - config_name: raw |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Tea Algal Spot |
| '1': Tea Brown Blight |
| '2': Citruspot |
| '3': Early_Mild_Spotting |
| '4': Fungal_Infected |
| '5': Tea Grey Blight |
| '6': Healthy |
| '7': Mild_Edge_Damage |
| '8': Tea Red Spot |
| '9': Senescent |
| '10': Slightly_Diseased |
| '11': Wrinkled_Leaf |
| - name: crop_type |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 157286021 |
| num_examples: 1411 |
| download_size: 680054667 |
| dataset_size: 157286021 |
| --- |
| |
| # Hibiscus Tea Disease Classification |
|
|
| A dataset for disease classification of Hibiscus and Tea leaves. The dataset contains raw and augmented versions. |
| The raw dataset contains 1,411 images. |
| Images per class: |
| - Tea Algal Spot: 54 |
| - Tea Brown Blight: 48 |
| - Citruspot: 150 |
| - Early_Mild_Spotting: 83 |
| - Fungal_Infected: 28 |
| - Tea Grey Blight: 53 |
| - Healthy: 473 |
| - Mild_Edge_Damage: 226 |
| - Tea Red Spot: 44 |
| - Senescent: 40 |
| - Slightly_Diseased: 109 |
| - Wrinkled_Leaf: 55 |
| |
| The augmented dataset contains 12,417 images. |
| Images per class: |
| - Tea Algal Spotout: 1,000 |
| - Tea Brown Blight: 1,000 |
| - Hibiscus Citruspot: 1,000 |
| - Hibiscus Early_Mild_Spotting: 417 |
| - Hibiscus Fungal: 1,000 |
| - Tea Grey Blight: 1,000 |
| - Hibiscus Healthy: 1,000 |
| - Hibiscus Mild_Edge__Damage: 1,000 |
| - Tea Red Spot: 1,000 |
| - Hibiscus Senescent: 1,000 |
| - Hibiscus Slightly_Diseased: 1,000 |
| - Hibiscus Wrinkled_Leaf: 1,000 |
| |
| |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
| |
| ## Citation |
| |
| ```bibtex |
| @article{billah2025comprehensive, |
| title={A comprehensive combined dataset on Hibiscus and Tea plant leaf disease images for classifications.}, |
| author={Billah, Md Masum and Sagor, Saifuddin and Uddin, Mohammad Shorif}, |
| journal={Data in Brief}, |
| pages={112357}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
| |
| Billah, Md Masum; Sagor, Saifuddin ; Shorif Uddin, Mohammad; Hossain, Shahariar (2025), “A Real-World Hibiscus and Tea Leaf Image Dataset for Classification”, Mendeley Data, V4, doi: 10.17632/5bzy89brkv.4 |
