Datasets:

Project-AgML
/

olive_tree_crown_detection

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

@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