| --- |
| configs: |
| - config_name: default |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': 1st-grade |
| '1': 2nd-grade |
| '2': 3rd-grade |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # AFruitDB Fruit Grade Classification |
|
|
| A dataset for grade classification of 6 fruits: tomato, papaya, mango, Burmese grape, apple, and banana. The dataset contains 3,167 images across 3 classes: 1st-grade, 2nd-grade, 3rd-grade. |
| Images per class: |
| - 1st-grade: 1,297 |
| - 2nd-grade: 1,196 |
| - 3rd-grade: 674 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{mojumdar2025afruitdb, |
| title={AFruitDB: A comprehensive dataset of six commonly used Asian fruits for advanced grading and biodiversity insights}, |
| author={Mojumdar, Mayen Uddin and Islam, Shahrin and Al Mamun, Md and Hasan, Rifat and Siddiquee, Shah Md Tanvir and Chakraborty, Narayan Ranjan}, |
| journal={Data in Brief}, |
| volume={59}, |
| pages={111380}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Mojumdar, Mayen Uddin ; Mamun, Md Al ; Islam, Shahrin; Hasan, Rifat (2024), “A Dataset of Common Asian Fruits for Quality Grading and Biodiversity Research”, Mendeley Data, V1, doi: 10.17632/bz65dz2pbj.1 |
