metadata
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
@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.