| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Damaged |
| '1': Fresh |
| '2': Severely Damaged |
| - name: crop_type |
| dtype: string |
| - name: plant_id |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 10632989700 |
| num_examples: 4464 |
| download_size: 10744868382 |
| dataset_size: 10632989700 |
| 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 |
| --- |
| # Bruised Vegetable Classification |
|
|
| A dataset for classification of Bruised Vegetable Classification. The dataset contains 4,464 images across 3 classes. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{samanta2025nature, |
| title={Nature's best vs. bruised: A veggie edibility evaluation database}, |
| author={Samanta, Bidisha and Banerjee, Sriparna and Das, Ranadhir and Chaudhuri, Sheli Sinha and Djemal, Khalifa and Feiz, Amir Ali}, |
| journal={Data in Brief}, |
| volume={60}, |
| pages={111483}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Samanta, Bidisha ; Banerjee, Sriparna; Das, Ranadhir; Sinha Chaudhuri, Sheli; Djemal, Khalifa (2024), “Nature's Best vs. Bruised: A Veggie Evaluation”, Mendeley Data, V2, doi: 10.17632/b2mvj3kjfx.2 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
