---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: objects
    struct:
    - name: bbox
      list:
        list: float64
    - name: categories
      list:
        class_label:
          names:
            '0': single_seedling
            '1': double_seedling
            '2': triple_seedling
  - name: flight_date
    dtype: string
  - name: source_video
    dtype: string
  - name: split
    dtype: string
  splits:
  - name: train
    num_bytes: 15545420923
    num_examples: 3152
  download_size: 15545391709
  dataset_size: 15545420923
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: unknown
task_categories:
- object-detection
size_categories:
- 1K<n<10K
---
# Maize Seedling Msdd Detection

The Maize Seedling Detection Dataset (MSDD) is a stand-counting dataset of maize genetic nurseries at the University of Missouri in Columbia, Missouri, made from RGB video frames that DJI Phantom 4 and Mavic 2 Pro drones recorded over the 2019-2022 growing seasons. It covers seedlings from growth stage V2 to V12 under varied lighting, wind, soil backgrounds, and nadir or oblique camera angles. Each seedling is boxed as a single plant, or as a double or triple cluster when two or three plants emerge together. The flight_date and source_video columns record which flight and video each frame patch came from, and the split column keeps the authors' train/val/test split. The dataset contains 3,152 images with 163,921 bounding box annotations across 3 categories.

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

The original train/test/val split has been preserved in the `split` column.

## Citation

```bibtex
@article{kharismawati2026maize,
  title={Maize Seedling Detection Dataset (MSDD): A Curated High-Resolution RGB Dataset for Seedling Maize Detection and Benchmarking with YOLOv9, YOLO11, YOLOv12 and Faster-RCNN},
  author={Kharismawati, Dewi Endah and Kazic, Toni},
  journal={Agronomy},
  volume={16},
  pages={1605},
  year={2026},
  publisher={MDPI}
}
```


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