Datasets:
File size: 1,567 Bytes
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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.* |