| --- |
| 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: 13559242 |
| num_examples: 689 |
| download_size: 13564302 |
| dataset_size: 13559242 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # Apple Detection Drone Brazil |
|
|
| A dataset for object detection of apples. The dataset contains 689 images with 2,471 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{DBLP:journals/corr/abs-2110-12331, |
| author={Thiago T. Santos and Luciano Gebler}, |
| title={A methodology for detection and localization of fruits in apples orchards from aerial images}, |
| journal={CoRR}, |
| volume={abs/2110.12331}, |
| year={2021}, |
| url={https://arxiv.org/abs/2110.12331}, |
| eprinttype={arXiv}, |
| eprint={2110.12331}, |
| timestamp={Thu, 28 Oct 2021 15:25:31 +0200}, |
| biburl={https://dblp.org/rec/journals/corr/abs-2110-12331.bib}, |
| bibsource={dblp computer science bibliography, https://dblp.org} |
| } |
| ``` |
|
|
