| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: float64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': Bud |
| '1': Calyx |
| '2': Detached Fruit |
| '3': Flower |
| '4': Large green |
| '5': Leaf |
| '6': Ripe fruit |
| '7': Small Green |
| '8': Stem |
| '9': Unripe fruit |
| splits: |
| - name: train |
| num_bytes: 464798261 |
| num_examples: 500 |
| download_size: 464838971 |
| dataset_size: 464798261 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # Ghai Strawberry Fruit Detection |
|
|
| A dataset for object detection of strawberries. The dataset contains 500 images with 3,466 bounding box annotations across 10 categories. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
| https://github.com/AxisAg/GHAIDatasets/blob/main/datasets/strawberry.md |
