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---
dataset_info:
- config_name: augmented
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Anaji
'1': Bichi
'2': Champa
'3': Deshi
'4': Shagor
'5': Shobri
splits:
- name: train
num_bytes: 5952767112
num_examples: 6000
download_size: 5082692214
dataset_size: 5952767112
- config_name: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Anaji
'1': Bichi
'2': Champa
'3': Deshi
'4': Shagor
'5': Shobri
splits:
- name: train
num_bytes: 4358296086
num_examples: 1166
download_size: 4389798331
dataset_size: 4358296086
configs:
- config_name: augmented
data_files:
- split: train
path: augmented/train-*
- config_name: raw
default: true
data_files:
- split: train
path: raw/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Banana Variety Classification
A dataset for variety classification of bananas. The dataset contains raw and augmented versions.
The raw dataset contains 1,166 images.
Images per class:
- Anaji: 209
- Bichi: 182
- Champa: 136
- Deshi: 237
- Shagor: 239
- Shobri: 163
The augmented dataset contains 6,000 images.
Images per class:
- Anaji: 1,000
- Bichi: 1,000
- Champa: 1,000
- Deshi: 1,000
- Shagor: 1,000
- Shobri: 1,000
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{sheikh2024bananaset,
title={BananaSet: a dataset of banana varieties in Bangladesh},
author={Sheikh, Md Ripon and Hossain, Md Anwar and Hossain, Moazzem and Islam, Md Masudul and Himel, Galib Muhammad Shahriar},
journal={Data in Brief},
volume={54},
pages={110513},
year={2024},
publisher={Elsevier}
}
```
Islam, Md Masudul; Sheikh, Ripon; Hossain, Md. Anwar; Hossain, Moazzem ; Himel, Galib Muhammad Shahriar (2024), “BananaSet: A Dataset of Banana Varieties in Bangladesh”, Mendeley Data, V4, doi: 10.17632/35gb4v72dr.4