Available Dataset

#Past projects (GWHD)

Global Wheat Head Detection Dataset

Global wheat head detection Dataset is the first large-scale dataset for wheat head detection from field optical images. It included a very large range of cultivars from differents continents. Wheat is a staple crop grown all over the world and consequently interest in wheat phenotyping spans the globe. Therefore, it is important that models developed for wheat phenotyping, such as wheat head detection networks, generalize between different growing environments around the world.

Free to use for any purpose
Large range of cultivars and environmental condition
Images taken by different platforms

GWHD 2020

Through a joint international collaborative effort, we have built a large, diverse, and well-labelled dataset of wheat images, called the Global Wheat Head Detection (GWHD) dataset. It contains 4700 high-resolution RGB images and 190000 labelled wheat heads collected from several countries around the world at different growth stages with a wide range of genotypes. Guidelines for image acquisition, associating minimum metadata to respect FAIR principles, and consistent head labelling methods are proposed when developing new head detection datasets.This is the official version of the Global Wheat Head Dataset presented in David et al. (2020) . It's a corrected version of the dataset published on Kaggle, and the one used for the Codalab challenge.

version 4 DOI Download

GWHD 2021

From this first experience, a few avenues for improvements have been identified regarding data size, head diversity, and label reliability. To address these issues, the 2020 dataset has been reexamined, relabeled, and complemented by adding 1722 images from 5 additional countries, allowing for 81,553 additional wheat heads. This is the official version of the Global Wheat Head Dataset presented in David et al. (2021).Labels are included in csv. The dataset is composed of more than 6000 images of 1024x1024 pixels containing 300k+ unique wheat heads, with the corresponding bounding boxes.

version 1.0 DOI Download

#Our Sponsors

Sponsors for GWHD project.

Platinum sponsor
Global Institude For Food Security
Gold sponsor
Gold sponsor
Digit Agriculture
Gold sponsor
Silver sponsor
Plant Phenomics
Silver sponsor

They also support us


Organisers and Collaborators

firstName lastName OrganzationName roleInGW
Benoît De Solan Arvalis contributor
Lucas Bernigaud Samatan Arvalis Lead labelling
Francisco Pinto Espinosa CIMMYT contributor
Sebastien Dandrifosse CRA wallonie contributor
Andreas Hund ETHZ Project lead
Jonas Anderegg ETHZ contributor
Norbert Kirchgessner ETHZ contributor
Radek Zenkl ETHZ CVAT administrator, lead tagging
Alexis Comar HIPHEN contributor
Marc Labadie HIPHEN contributor
Andrea Visioni ICARDA contributor
Raul Lopez-Lozano INRAe contributor
Etienne David INRAE alumni
Frederic Baret INRAE emeritus
Marie Weiss INRAE contributor
Simon Madec INRAE alumni
Malcolm Hawkesford Rothamsted contributor
Nicolas Virlet Rothamsted contributor
Latifa Greche Rothamsted contributor
Benoît Mercatoris U. Liege contributor
Benjamin Dumont U. Liege contributor
Alexis Carlier U. Liege contributor
Scott Chapman U. Queensland contributor
Zhi Chen U. Queensland contributor
Ian Stavness U. Saskatchewan Competition management
Wei Guo U. Tokyo Website management