| --- |
| configs: |
| - config_name: raw |
| default: true |
| data_dir: raw |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Formalin-mixed |
| '1': Fresh |
| '2': Rotten |
| - name: fruit |
| dtype: string |
| - config_name: augmented |
| data_dir: augmented |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Formalin-mixed |
| '1': Fresh |
| '2': Rotten |
| - name: fruit |
| dtype: string |
| license: cc-by-nc-nd-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # FruitVision Quality Classification |
|
|
| A dataset for quality classification of apples, bananas, mangoes, grapes, and oranges. The dataset contains raw and augmented versions. |
| The raw dataset contains 10,154 images. |
| Images per class: |
| - Formalin-mixed: 3,176 |
| - Fresh: 3,800 |
| - Rotten: 3,178 |
|
|
| The augmented dataset contains 73,389 images. |
| Images per class: |
| - Formalin-mixed: 22,228 |
| - Fresh: 30,400 |
| - Rotten: 20,761 |
|
|
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{bijoy2025fruitvision, |
| title={FruitVision: A benchmark dataset for fresh, rotten, and formalin-mixed fruit detection}, |
| author={Bijoy, Md Hasan Imam and Tasnim, Syeda Zarin and Awsaf, Syed Ali and Hasan, Md Zahid}, |
| journal={Data in Brief}, |
| volume={61}, |
| pages={111752}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Bijoy, Md Hasan Imam; Tasnim, Syeda Zarin; Awsaf, Syed Ali; Hasan, Md Zahid (2025), “FruitVision: A Benchmark Dataset for Fresh, Rotten, and Formalin-mixed Fruit Detection”, Mendeley Data, V2, doi: 10.17632/xkbjx8959c.2 |
