| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: int64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': apple |
| splits: |
| - name: train |
| num_bytes: 2089382256 |
| num_examples: 2290 |
| download_size: 2134879655 |
| dataset_size: 2089382256 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| # Apple Detection Usa |
|
|
| A dataset for object detection of apples. The dataset contains 2,290 images with 15,439 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 |
| @article{karkee2019apple, |
| title={Apple Dataset Benchmark from Orchard Environment in Modern Fruiting Wall}, |
| author={Karkee, Manoj and Bhusal, Santosh and Zhang, Qin}, |
| year={2019} |
| } |
| ``` |
