Datasets:
metadata
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': Amrapali
'1': Banana
'2': Chaunsa
'3': Fazli
'4': Haribhanga
'5': Himsagar
splits:
- name: train
num_bytes: 123514304
num_examples: 5859
download_size: 118944740
dataset_size: 123514304
- config_name: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Amrapali
'1': Banana
'2': Chaunsa
'3': Fazli
'4': Haribhanga
'5': Himsagar
splits:
- name: train
num_bytes: 14853418
num_examples: 837
download_size: 14869747
dataset_size: 14853418
Bdmango Variety Classification
A dataset for variety classification of mangos based on their leaves. The dataset contains raw and augmented versions.
The raw dataset contains 837 images.
Images per class:
- Amrapali: 120
- Banana: 167
- Chaunsa: 150
- Fazli: 160
- Haribhanga: 120
- Himsagar: 120
The augmented dataset contains 5,859 images.
Images per class:
- Amrapali: 840
- Banana: 1,169
- Chaunsa: 1,050
- Fazli: 1,120
- Haribhanga: 840
- Himsagar: 840
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{islam2025bdmango,
title={BDMANGO: An image dataset for identifying the variety of mango based on the mango leaves},
author={Islam, Mohammad Manzurul and Ahmed, Md Jubayer and Shafi, Mahmud Bin and Das, Aritra and Hasan, Md Rakibul and Al Rafi, Abdullah and Rashid, Mohammad Rifat Ahmmad and Niloy, Nishat Tasnim and Ali, Md Sawkat and Chowdhury, Abdullahi and others},
journal={Data in Brief},
volume={58},
pages={111241},
year={2025},
publisher={Elsevier}
}
Islam, Mohammad Manzurul; Das, Aritra; Hasan, Md. Rakibul; Rashid, Mohammad Rifat Ahmmad (2024), “Image Dataset of Bangladeshi Mango Leaf”, Mendeley Data, V5, doi: 10.17632/nnh69sng8p.5