| --- |
| configs: |
| - config_name: default |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: objects |
| sequence: |
| - name: bbox |
| dtype: sequence[float32] |
| - name: categories |
| dtype: int32 |
| - name: scale |
| dtype: string |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Olive Tree Crown Detection |
|
|
| A dataset for detection of crowns of olive trees. The dataset contains 5,842 images with 66,950 bounding box annotations. There are scales to the images taken. |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{hnida2025olivetreecrownsdb, |
| title={OliveTreeCrownsDb: A high-resolution UAV dataset for detection and segmentation in agricultural computer vision}, |
| author={Hnida, Youness and Mahraz, Mohamed Adnane and Achebour, Ali and Yahyaouy, Ali and Riffi, Jamal and Tairi, Hamid}, |
| journal={Data in Brief}, |
| volume={60}, |
| pages={111515}, |
| year={2025}, |
| publisher={Elsevier} |
| }``` |
|
|
| Hnida, Youness; Mahraz, Mohamed Adnane; Achebour, Ali; Yahyaouy, Ali; Riffi, Jamal; Tairi, Hamid (2024), “OliveTreeCrownsDb: A High-Resolution UAV Dataset for Detection and Segmentation in Agricultural Computer Vision”, Mendeley Data, V3, doi: 10.17632/xym8rd2srf.3 |
