Datasets:
File size: 1,708 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Amrapali
'1': Bari-4
'2': Bari-7
'3': Fazlee
'4': Harivanga
'5': Kanchon Langra
'6': Katimon
'7': Langra
'8': Mollika
'9': Nilambori
splits:
- name: train
num_bytes: 3170873222
num_examples: 2012
download_size: 3269490389
dataset_size: 3170873222
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
---
# Mangifera2012 Variety Classification
A dataset for variety classification of mangoes. The dataset contains 2,012 images across 10 classes:
Images per class:
- Amrapali: 252
- Bari-4: 235
- Bari-7: 176
- Fazlee: 156
- Harivanga: 202
- Kanchon Langra: 210
- Katimon: 163
- Langra: 202
- Mollika: 221
- Nilambori: 195
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{bharati2025comprehensive,
title={A comprehensive image dataset of Bangladeshi mango variety},
author={Bharati, Rup Kumar and Islam, Md Masudul and Sheikh, Md Ripon and Himel, Galib Muhammad Shahriar},
journal={Data in Brief},
volume={60},
pages={111560},
year={2025},
publisher={Elsevier}
}
```
Sheikh, Md Ripon; Islam, Md Masudul; Himel, Galib Muhammad Shahriar (2024), “Mangifera2012: An Image Dataset of Various Bangladeshi Mangoes”, Mendeley Data, V1, doi: 10.17632/w5jg84txj8.1
*This dataset was reformatted from its original format to match HuggingFace standards.* |