| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: float64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': strawberry |
| '1': flower |
| '2': green |
| '3': large_white |
| '4': pink |
| '5': red |
| '6': small_white |
| splits: |
| - name: train |
| num_bytes: 11190538 |
| num_examples: 175 |
| download_size: 11199603 |
| dataset_size: 11190538 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| # Strawberry Detection 2022 |
|
|
| A dataset for object detection of strawberries. The dataset contains 175 images with 3,319 bounding box annotations across 6 categories. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
