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---
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Anthracnose
'1': algal_leaf
'2': bird_eye_spot
'3': brown_blight
'4': gray_light
'5': healthy
'6': red_leaf_spot
'7': white_spot
splits:
- name: train
num_bytes: 622082045.0
num_examples: 708
- name: validation
num_bytes: 79334678.0
num_examples: 88
- name: test
num_bytes: 79495048.0
num_examples: 89
download_size: 780933256
dataset_size: 780911771.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# Tea Sickness Dataset
This dataset contains images of tea leaves affected by seven common diseases, along with healthy examples. It is designed for use in machine learning tasks such as classification, particularly leveraging transfer learning techniques.
## Dataset Summary
The dataset includes tea leaves from eight categories:
| Label ID | Class Name |
|----------|------------------|
| 0 | Anthracnose |
| 1 | Algal Leaf Spot |
| 2 | Bird Eye Spot |
| 3 | Brown Blight |
| 4 | Gray Blight |
| 5 | Healthy |
| 6 | Red Leaf Spot |
| 7 | White Spot |
Each class contains more than 100 images, captured from tea plants in the Johnstone Boiyon farm, Koiwa location, Bomet County, using a clone of 1510. The dataset is useful for developing models that can predict the presence of diseases in tea leaves, particularly in agricultural and sustainability contexts.
## Dataset Structure
### Features
- `image`: An RGB image of a tea leaf (PIL Image format)
- `label`: Class label as integer (0–7) with corresponding disease names
### Splits
| Split | Number of Examples | Size (Bytes) |
|-------------|--------------------|--------------|
| Train | 708 | 622,082,045 |
| Validation | 88 | 79,334,678 |
| Test | 89 | 79,495,048 |
| **Total** | **885** | **780,911,771** |
## Usage
This dataset is suitable for:
- Fine-tuning image classification models
- Research on plant disease detection
- Transfer learning and domain adaptation experiments
## Citation
If you use this dataset in your research, please cite it as:
```bibtex
@article{kimutai2022tea,
title = {Tea sickness dataset},
author = {Kimutai, Gibson and Förster, Anna},
journal = {Mendeley Data},
volume = {2},
year = {2022},
doi = {10.17632/j32xdt2ff5.2}
}
```
## License
**CC BY 4.0** — You are free to use, share, and adapt the dataset, provided appropriate credit is given.
## Acknowledgements
This dataset was collected by researchers from the University of Rwanda and the University of Bremen. We thank the contributors for making the dataset publicly available to advance agricultural AI applications.
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