| --- |
| 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.* |
