Datasets:

Project-AgML
/

wheat_head_counting

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

@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}
}