| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: float64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': Visible Fruit/Flower |
| - name: category_names |
| list: string |
| splits: |
| - name: train |
| num_bytes: 9435588 |
| num_examples: 100 |
| download_size: 9410419 |
| dataset_size: 9435588 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
|
|
| # Almond Bloom 2023 |
|
|
| A dataset for object detection of almond flowers. The dataset contains 100 images with 10,902 bounding box annotations across 1 category. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
