| --- |
| 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 |
