Project-AgML/AvoAir_DB_unlabeled

Avoair Db Unlabeled

This dataset provides unlabeled RGB aerial imagery of avocado orchards captured using a DJI Phantom Pro 4 UAV in natural field environments across the Kenitra/Allal Tazi region of Morocco. The real-world collection offers diverse aerial perspectives of crop conditions under typical agricultural settings. It serves as a practical resource for developing and testing computer vision models in precision agriculture applications. The dataset contains 984 images with no classification, segmentation, or bounding-box annotations.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{elamraoui2022avo,
  title={Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification},
  author={EL Amraoui, Khalid and Lghoul, Mouataz and Ezzaki, Ayoub and Masmoudi, Lhoussaine and Hadri, Majid and Elbelrhiti, Hicham and Simo, Aziz Abdou},
  journal={Data in Brief},
  volume={45},
  pages={108738},
  year={2022},
  publisher={Elsevier}
}

This dataset was reformatted from its original format to match HuggingFace standards.