Datasets:
File size: 1,828 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Amrapali
'1': Banana
'2': Bari 4
'3': Fazli
'4': GobindoBhog
'5': GopalBhog
'6': Harivanga
'7': Himsagar
'8': Khrishapat
'9': Langra
'10': RaniBhog
'11': Sundari
splits:
- name: train
num_bytes: 17855503855
num_examples: 3900
download_size: 18516857667
dataset_size: 17855503855
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
---
# MangoClassify 12 Variety Classification
A dataset for variety classification of common mangoes. The dataset contains 3,900 images across 12 classes:
Images per class:
- Amrapali: 600
- Banana: 212
- Bari 4: 240
- Fazli: 120
- GobindoBhog: 41
- GopalBhog: 406
- Harivanga: 575
- Himsagar: 502
- Khrishapat: 380
- Langra: 506
- RaniBhog: 92
- Sundari: 226
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{rahman2025mangoclassify,
title={MangoClassify-12: A high-resolution image dataset of twelve indigenous Bangladeshi mango cultivars},
author={Rahman, Md Sajedur and Nahin, Md Mahfuz Ahmed and Rahman, Md Mahbubur and Rani, Mollika and Islam, Md Ashraful and Bashir, Al and Shafkat, Ahmad and Mallik, Bijon and Majeed, Yaqoob},
journal={Data in Brief},
pages={112037},
year={2025},
publisher={Elsevier}
}
```
Md. Sajedur Rahman, Md. Mahfuz Ahmed Nahin, Mollika Rani, and MD Ashraful Islam. (2025). MangoClassify-12: Native Mango Dataset from BD [Dataset]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/12460544 |