| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: float64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': grape |
| splits: |
| - name: train |
| num_bytes: 359907663 |
| num_examples: 126 |
| download_size: 359916180 |
| dataset_size: 359907663 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| task_categories: |
| - object-detection |
| size_categories: |
| - n<1K |
| --- |
| # Grape Detection Californiaday |
|
|
| A dataset for object detection of grape bunches. The dataset contains 126 images with 1,478 bounding box annotations across 1 category. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{GrapeDay, |
| author = {Plant AI and Biophysics Lab}, |
| title = {Grape Detection 2019 Day}, |
| year = {2019}, |
| url = {https://github.com/plant-ai-biophysics-lab/AgML} |
| } |
| ``` |
