Datasets:
File size: 1,973 Bytes
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configs:
- config_name: augmented
data_files:
- split: train
path: augmented/train-*
- config_name: raw
data_dir: raw
default: true
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
dataset_info:
- config_name: augmented
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': China Mishti
'1': Darjeling
'2': Mendaring
'3': Nagpuri
splits:
- name: train
num_bytes: 788569527
num_examples: 8032
download_size: 791874120
dataset_size: 788569527
- config_name: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': China Mishti
'1': Darjeling
'2': Mandaring
'3': Nagpuri
splits:
- name: train
num_bytes: 9152568479
num_examples: 1917
download_size: 7837534228
dataset_size: 9152568479
---
# Mandarin Leaf Variety Classification
A dataset for variety classification of Mandarin leaves. The dataset contains augmented and raw versions.
The augmented dataset contains 8,032 images.
Images per class:
- China Mishti: 2,032
- Darjeling: 2,000
- Mendaring: 2,000
- Nagpuri: 2,000
The raw dataset contains 1,917 images.
Images per class:
- China Mishti: 511
- Darjeling: 500
- Mandaring: 540
- Nagpuri: 366
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{rahman2025comprehensive,
title={A comprehensive dataset of mandarin leaf images for classification},
author={Rahman, Mushfiqur and Ahmed, Imtiaz and Ahmed, Mahin},
journal={Data in Brief},
volume={60},
pages={111685},
year={2025},
publisher={Elsevier}
}
```
Ahmed, Imtiaz ; Ahmed, Mahin ; Rahman, Mushfiqur; Mohsin, Dr. Sayed Mohammad (2024), “Comprehensive Dataset of Mandarin Leaf Varieties.”, Mendeley Data, V1, doi: 10.17632/8bvv2pr2d3.1 |