---
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}
}
```