Project-AgML/TealeafAgeQuality_detection

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

@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.