Datasets:
File size: 1,358 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: objects
struct:
- name: bbox
list:
list: int64
- name: categories
list:
class_label:
names:
'0': Wheat Head
splits:
- name: train
num_bytes: 3717767435
num_examples: 6512
download_size: 3742198889
dataset_size: 3717767435
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-sa-4.0
task_categories:
- object-detection
size_categories:
- 1K<n<10K
---
# Wheat Head Counting
A dataset for object detection of Wheat Head Counting. The dataset contains 6,512 images with 275,466 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{david2020global,
title={Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods},\
author={David, Etienne and Madec, Simon and Sadeghi-Tehran, Pouria and Aasen, Helge and Zheng, Bangyou and Liu, Shouyang and Kirchgessner, Norbert and Ishikawa, Goro and Nagasawa, Koichi and Badhon, Minhajul A and others},
journal={Plant Phenomics},
volume={2020},
year={2020},
publisher={Science Partner Journal}
}
``` |