| --- |
| dataset_info: |
| - config_name: augmented |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Fresh |
| '1': Rotten |
| splits: |
| - name: train |
| num_bytes: 5480864904 |
| num_examples: 6000 |
| download_size: 3014334523 |
| dataset_size: 5480864904 |
| - config_name: raw |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Fresh |
| '1': Rotten |
| splits: |
| - name: train |
| num_bytes: 156301454 |
| num_examples: 1986 |
| download_size: 149944018 |
| dataset_size: 156301454 |
| configs: |
| - config_name: augmented |
| data_files: |
| - split: train |
| path: augmented/train-* |
| - config_name: raw |
| data_files: |
| - split: train |
| path: raw/train-* |
| default: true |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Tomato Quality Classification |
|
|
| A dataset for quality classification of Tomatoes. The dataset contains raw and augmented versions. |
| The raw dataset contains 1,986 images. |
| Images per class: |
| - Fresh: 1,350 |
| - Rotten: 636 |
|
|
| The augmented dataset contains 6,000 images. |
| Images per class: |
| - Fresh: 3,000 |
| - Rotten: 3,000 |
|
|
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{khatun2023extensive, |
| title={An extensive real-world in field tomato image dataset involving maturity classification and recognition of fresh and defect tomatoes}, |
| author={Khatun, Tania and Razzak, Abdur and Islam, Md Shofiul and Uddin, Mohammad Shorif}, |
| journal={Data in Brief}, |
| volume={51}, |
| pages={109688}, |
| year={2023}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Khatun, Tania; Razzak, Abdur ; Islam, Md. Shofiul ; Uddin, Prof. Dr. Mohammad Shorif (2023), “Tomato Maturity Detection and Quality Grading Dataset”, Mendeley Data, V1, doi: 10.17632/s42kpg8h37.1 |
|
|
| *This dataset was reformatted from its original format to match HuggingFace standards.* |
