| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| struct: |
| - name: bbox |
| list: |
| list: int64 |
| - name: categories |
| list: |
| class_label: |
| names: |
| '0': apple |
| - name: category_names |
| list: string |
| splits: |
| - name: train |
| num_bytes: 78896899 |
| num_examples: 967 |
| download_size: 78890411 |
| dataset_size: 78896899 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| # Apple Detection Spain |
|
|
| A dataset for object detection of apples. The dataset contains 967 images with 13,835 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{GENEMOLA2019104289, |
| title = {KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data}, |
| journal = {Data in Brief}, |
| volume = {25}, |
| pages = {104289}, |
| year = {2019}, |
| issn = {2352-3409}, |
| doi = {https://doi.org/10.1016/j.dib.2019.104289}, |
| url = {https://www.sciencedirect.com/science/article/pii/S2352340919306432}, |
| author = {Jordi Gené-Mola and Verónica Vilaplana and Joan R. Rosell-Polo and Josep-Ramon Morros and Javier Ruiz-Hidalgo and Eduard Gregorio} |
| } |
| ``` |
|
|
| <!-- TODO: add plain text citation --> |
|
|
|
|
