---
dataset_info:
- config_name: augmented
  features:
  - name: image
    dtype: image
  - name: objects
    struct:
    - name: bbox
      list:
        list: float64
    - name: categories
      list:
        class_label:
          names:
            '0': T1
            '1': T2
            '2': T3
            '3': T4
  splits:
  - name: train
    num_bytes: 319692490
    num_examples: 5740
  download_size: 308530031
  dataset_size: 319692490
- config_name: raw
  features:
  - name: image
    dtype: image
  - name: objects
    struct:
    - name: bbox
      list:
        list: float64
    - name: categories
      list:
        class_label:
          names:
            '0': T1
            '1': T2
            '2': T3
            '3': T4
  splits:
  - name: train
    num_bytes: 127921320
    num_examples: 2208
  download_size: 124977379
  dataset_size: 127921320
configs:
- config_name: augmented
  data_files:
  - split: train
    path: augmented/train-*
- config_name: raw
  data_files:
  - split: train
    path: raw/train-*
  default: true
license: cc-by-4.0
task_categories:
- object-detection
- image-classification
size_categories:
- 1K<n<10K
---

# TeaLeafAgeQuality Detection

A dataset for detection of tea leaves. The dataset contains raw and augmented versions.
The raw split contains 2,208 images with 2,207 bounding box annotations across 4 categories.  

The augmented split contains 5,740 images with 5,741 bounding box annotations across 4 categories.  


This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

## Citation

```bibtex
@article{kabir2024tea,
  title={Tea leaf age quality: age-stratified tea leaf quality classification dataset},
  author={Kabir, Md Mohsin and Hafiz, Md Sadman and Bandyopadhyaa, Shattik and Jim, Jamin Rahman and Mridha, MF},
  journal={Data in brief},
  volume={54},
  pages={110462},
  year={2024},
  publisher={Elsevier}
}
```

Kabir, Md Mohsin; Hafiz, Md Sadman ; Bandyopadhyaa, Shattik ; Jim, Jamin Rahman; Mridha, Firoz (2024), “TeaLeafAgeQuality: Age-Stratified Tea Leaf Quality Classification Dataset”, Mendeley Data, V1, doi: 10.17632/7t964jmmy3.1

*This dataset was reformatted from its original format to match HuggingFace standards.*