| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: float64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': b_fully_ripened |
| '1': b_half_ripened |
| '2': b_green |
| '3': l_fully_ripened |
| '4': l_half_ripened |
| '5': l_green |
| splits: |
| - name: train |
| num_bytes: 1650131341 |
| num_examples: 804 |
| download_size: 1650173728 |
| dataset_size: 1650131341 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| # Tomato Ripeness Detection |
|
|
| A dataset for ripeness detection of tomatoes. The dataset contains 804 images with 9,777 bounding box annotations across 6 categories. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| https://www.kaggle.com/datasets/nexuswho/laboro-tomato |
