Datasets:

Project-AgML
/

maize_individual_detection

dataset_info:
  features:
    - name: image
      dtype: image
    - name: objects
      struct:
        - name: bbox
          list:
            list: float64
        - name: categories
          list:
            class_label:
              names:
                '0': null
                '1': maize
  splits:
    - name: train
      num_bytes: 1231585820
      num_examples: 27
  download_size: 1231579304
  dataset_size: 1231585820
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - object-detection
size_categories:
  - n<1K

Maize Individual Detection

A dataset for object detection of individual maize from a uav. The dataset contains 27 images with 8,701 bounding box annotations across 1 category.

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

Citation

@article{sangjan2026matchplant,
  title={MatchPlant: An Open-Source Pipeline for UAV-Based Single-Plant Detection from Undistorted Images with Orthomosaic Projection},
  author={Sangjan, Worasit and Pandey, Piyush and Best, Norman B. and Washburn, Jacob D.},
  journal={Smart Agricultural Technology},
  volume={15},
  pages={102421},
  year={2026},
  publisher={Elsevier}
}

Sangjan, W., Pandey, P., Best, N., & Washburn, J. (2025). MatchPlant: An Open-Source Pipeline for UAV-Based Single-Plant Detection from Undistorted Images with Orthomosaic Projection [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.14856123

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