---
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