Datasets:
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image imagewidth (px) 3.46k 4.27k | objects dict |
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End of preview. Expand in Data Studio
MTDC — Maize Tassels Detection and Counting Dataset
A UAV-imagery dataset for maize tassel detection and counting on maize crops. The dataset contains 361 images with 13,564 annotated maize tassel instances (single class: maize). Bounding boxes are in COCO format [x, y, width, height].
| Split | Images | Annotations |
|---|---|---|
| train | 361 | 13,564 |
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Loading
from datasets import load_dataset
ds = load_dataset("Project-AgML/MTDC_Maize_Tassels_Detection_Counting_Dataset")
Citation
@article{zou2020maize,
title={Maize tassels detection: a benchmark of the state of the art},
author={Zou, Hao and Lu, Hao and Li, Ying and Liu, Liu and Cao, Zhiguo},
journal={Plant Methods},
volume={16},
number={1},
year={2020},
publisher={Springer},
doi={10.1186/s13007-020-00651-1}
}
Zou, Hao; Lu, Hao; Li, Ying; Liu, Liu; Cao, Zhiguo (2020), "Maize tassels detection: a benchmark of the state of the art", Plant Methods, 16, doi: 10.1186/s13007-020-00651-1
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