---
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

```bibtex
@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.*