image
imagewidth (px)
1.02k
1.02k
domain
stringclasses
18 values
country
stringclasses
5 values
location
stringclasses
9 values
development_stage
stringclasses
4 values
objects
dict
Arvalis_11
France
VLB
Filling
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Arvalis_3
France
Gréoux
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_2
France
Gréoux
Filling
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NMBU_1
Norway
NMBU
Filling
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Arvalis_2
France
Gréoux
Filling
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Rres_1
UK
Rothamsted
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_4
France
Gréoux
Filling
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ETHZ_1
Switzerland
Usask
Filling
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ETHZ_1
Switzerland
Usask
Filling
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ULiège-GxABT_1
Belgium
Gembloux
Ripening
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Rres_1
UK
Rothamsted
Filling - Ripening
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ULiège-GxABT_1
Belgium
Gembloux
Ripening
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Arvalis_2
France
Gréoux
Filling
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Rres_1
UK
Rothamsted
Filling - Ripening
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Arvalis_6
France
VSC
Filling - Ripening
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Arvalis_6
France
VSC
Filling - Ripening
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Arvalis_2
France
Gréoux
Filling
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Inrae_1
France
Toulouse
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_6
France
VSC
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_1
France
Gréoux
Post-flowering
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Arvalis_4
France
Gréoux
Filling
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Arvalis_6
France
VSC
Filling - Ripening
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Rres_1
UK
Rothamsted
Filling - Ripening
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Arvalis_3
France
Gréoux
Filling - Ripening
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Arvalis_5
France
VLB
Filling
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Rres_1
UK
Rothamsted
Filling - Ripening
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Arvalis_5
France
VLB
Filling
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Arvalis_5
France
VLB
Filling
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Arvalis_5
France
VLB
Filling
{ "boxes": [], "categories": [] }
Arvalis_6
France
VSC
Filling - Ripening
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Arvalis_6
France
VSC
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_6
France
VSC
Filling - Ripening
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Arvalis_4
France
Gréoux
Filling
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ETHZ_1
Switzerland
Usask
Filling
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Rres_1
UK
Rothamsted
Filling - Ripening
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Rres_1
UK
Rothamsted
Filling - Ripening
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Rres_1
UK
Rothamsted
Filling - Ripening
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Arvalis_3
France
Gréoux
Filling - Ripening
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Inrae_1
France
Toulouse
Filling - Ripening
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Arvalis_5
France
VLB
Filling
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ETHZ_1
Switzerland
Usask
Filling
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Inrae_1
France
Toulouse
Filling - Ripening
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Arvalis_7
France
VLB
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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Rres_1
UK
Rothamsted
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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Rres_1
UK
Rothamsted
Filling - Ripening
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Inrae_1
France
Toulouse
Filling - Ripening
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Arvalis_5
France
VLB
Filling
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Arvalis_2
France
Gréoux
Filling
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Arvalis_6
France
VSC
Filling - Ripening
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Arvalis_5
France
VLB
Filling
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Inrae_1
France
Toulouse
Filling - Ripening
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Arvalis_5
France
VLB
Filling
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ETHZ_1
Switzerland
Usask
Filling
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_2
France
Gréoux
Filling
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Arvalis_2
France
Gréoux
Filling
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Arvalis_3
France
Gréoux
Filling - Ripening
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Arvalis_5
France
VLB
Filling
{ "boxes": [], "categories": [] }
ULiège-GxABT_1
Belgium
Gembloux
Ripening
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Arvalis_3
France
Gréoux
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_3
France
Gréoux
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_3
France
Gréoux
Filling - Ripening
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Arvalis_3
France
Gréoux
Filling - Ripening
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Arvalis_1
France
Gréoux
Post-flowering
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Arvalis_2
France
Gréoux
Filling
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_2
France
Gréoux
Filling
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Arvalis_3
France
Gréoux
Filling - Ripening
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Arvalis_11
France
VLB
Filling
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_5
France
VLB
Filling
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ETHZ_1
Switzerland
Usask
Filling
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Inrae_1
France
Toulouse
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_1
France
Gréoux
Post-flowering
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Arvalis_6
France
VSC
Filling - Ripening
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ETHZ_1
Switzerland
Usask
Filling
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NMBU_1
Norway
NMBU
Filling
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_3
France
Gréoux
Filling - Ripening
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Arvalis_11
France
VLB
Filling
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Arvalis_3
France
Gréoux
Filling - Ripening
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Inrae_1
France
Toulouse
Filling - Ripening
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Arvalis_11
France
VLB
Filling
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Arvalis_3
France
Gréoux
Filling - Ripening
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Arvalis_3
France
Gréoux
Filling - Ripening
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Arvalis_12
France
Gréoux
Filling
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ETHZ_1
Switzerland
Usask
Filling
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Arvalis_5
France
VLB
Filling
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Dataset Card for "Global Wheat Head Dataset 2021" 😊

If you want any update on the Global Wheat Dataset Community, go on https://www.global-wheat.com/

Introduction

Wheat is essential for a large part of humanity. The "Global Wheat Head Dataset 2021" aims to support the development of deep learning models for wheat head detection. This dataset addresses challenges like overlapping plants and varying conditions across global wheat fields. It's a step towards automating plant phenotyping and enhancing agricultural practices. 🌾

Dataset Composition

  • Images: Over 6000, Resolution - 1024x1024 pixels
  • Annotations: 300k+ unique wheat heads with bounding boxes
  • Geographic Coverage: Images from 11 countries
  • Domains: Various, including sensor types and locations
  • Splits: Training (Europe & Canada), Test (Other regions)

Dataset Composition

Files and Structure

  • Images: Folder containing all images (.png)
  • CSV Files: competition_train.csv, competition_val.csv, competition_test.csv for different dataset splits
  • Metadata: Metadata.csv with additional details

Labels

  • Format: CSV with columns - image_name, BoxesString, domain
  • BoxesString: [x_min,y_min, x_max,y_max] format for bounding boxes
  • Domain: Specifies the image domain

Usage

Tutorials and Resources

License

  • Type: Creative Commons Attribution 4.0 International (cc-by-4.0)
  • Details: Free to use with attribution

Citation

If you use this dataset in your research, please cite the following:

@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 others},
  journal={Plant Phenomics},
  volume={2020},
  year={2020},
  publisher={Science Partner Journal}
}
@misc{david2021global,
  title={Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods},
  author={Etienne David and others},
  year={2021},
  eprint={2105.07660},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

Acknowledgements

Special thanks to all the contributors, researchers, and institutions that played a pivotal role in the creation of this dataset. Your efforts are helping to advance the field of agricultural sciences and technology. 👏

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