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---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': BlackAustralia
'1': BlackOodTurkey
'2': Buriram60
'3': ChiangMai60
'4': ChiangMaiBuriram60
'5': Kamphaengsaeng42
'6': RedKing
'7': TaiwanMeacho
'8': TaiwanStraberry
'9': WhiteKing
splits:
- name: train
num_bytes: 88392775
num_examples: 5262
download_size: 101694449
dataset_size: 88392775
---
# Mulberry Leaf Variety Classification
A dataset for variety classification of mulberry leaves. The dataset contains 5,262 images across 10 classes: BlackAustralia, BlackOodTurkey, Buriram60, ChiangMai60, ChiangMaiBuriram60, Kamphaengsaeng42, RedKing, TaiwanMeacho, TaiwanStraberry, WhiteKing.
Images per class:
- BlackAustralia: 637
- BlackOodTurkey: 500
- Buriram60: 345
- ChiangMai60: 500
- ChiangMaiBuriram60: 761
- Kamphaengsaeng42: 500
- RedKing: 350
- TaiwanMeacho: 640
- TaiwanStraberry: 488
- WhiteKing: 541
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{choompookham2024mulberry,
title={Mulberry leaf dataset for image classification task},
author={Choompookham, Thipwimon and Okafor, Emmanuel and Surinta, Olarik},
journal={Data in Brief},
volume={54},
pages={110281},
year={2024},
publisher={Elsevier}
}
```
Chom, thipwimon; surinta, olarik (2024), “Mulberry Leaf Dataset”, Mendeley Data, V3, doi: 10.17632/ds45yy9jrc.3