Datasets:
metadata
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:
- image-classification
size_categories:
- 1K<n<10K
dataset_info:
- config_name: augmented
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Green
'1': Overripe
'2': Ripe
'3': Semi-ripe
splits:
- name: train
num_bytes: 21331749
num_examples: 2457
download_size: 21125160
dataset_size: 21331749
- config_name: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Green
'1': Overripe
'2': Ripe
'3': Semi-ripe
splits:
- name: train
num_bytes: 3679323
num_examples: 820
download_size: 3689298
dataset_size: 3679323
BananaImageBD Ripeness Classification
A dataset for ripeness classification of bananas. The dataset contains raw and augmented versions.
The raw dataset contains 820 images.
Images per class:
- Green: 212
- Overripe: 203
- Ripe: 201
- Semi-ripe: 204
The augmented dataset contains 2,457 images.
Images per class:
- Green: 636
- Overripe: 609
- Ripe: 603
- Semi-ripe: 609
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{ferdaus2025bananaimagebd,
title={BananaImageBD: A comprehensive banana image dataset for classification of banana varieties and detection of ripeness stages in Bangladesh},
author={Ferdaus, Md Hasanul and Prito, Rizvee Hassan and Rasel, Ahmed Abdal Shafi and Ahmed, Masud and Saykot, Md Jahid Hassan and Shanta, Shanjida Sultan and Akter, Sonali and Das, Ankan Chandra and Islam, Mohammad Manzurul and Hasan, Mahamudul and others},
journal={Data in Brief},
volume={58},
pages={111239},
year={2025},
publisher={Elsevier}
}
Ferdaus, Md Hasanul; Prito, Rizvee Hassan; Rasel, Ahmed Abdal Shafi Rasel; Ahmed, Masud; Saykot, Md. Jahid Hassan; Shanta, Shanjida Sultan; Akter, Sonali; Das, Ankan Chandra; Islam, Mohammad Manzurul; Hasan, Mahamudul; Ali, Sawkat (2024), “BananaImageBD: A Comprehensive Image Dataset of Common Banana Varieties with Different Ripeness Stages in Bangladesh.”, Mendeley Data, V2, doi: 10.17632/ptfscwtnyz.2