Project-AgML/InterDuPa_UAV_durian

Interdupa Uav Durian

This dataset provides unlabeled RGB imagery of intercropped durian and papaya trees captured in agricultural fields within Chau Thanh, Vietnam. Images were collected using a DJI Phantom 4 Pro UAV equipped with a high-resolution RGB camera during multiple field campaigns in late 2023 and early 2024. The dataset contains 3,327 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{ngo2025interdupa,
  title={InterDuPa-UAV: A UAV-based dataset for the classification of intercropped durian and papaya trees},
  author={Ngo, Quang Hieu and Luu, Trong Hieu and Nguyen, Phuc Vinh and El Makrini, Ilias and Vanderborght, Bram and Cao, Hoang-Long},
  journal={Data in Brief},
  volume={61},
  pages={111843},
  year={2025},
  publisher={Elsevier}
}

Luu, T. H., Ngo, Q. H., Cao, H.-L., Vanderborght, B., & El Makrini, I. (2025). InterDuPa-UAV: A UAV-based Dataset for the Classification of Intercropped Durian and Papaya Trees [Dataset]. In Science & Technology Asia (Vol. 29, Issue 4, pp. 128–137). Zenodo. https://doi.org/10.5281/zenodo.15664908

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