Global WHEAT 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.

This is the full Global Wheat Head Dataset 2021. Labels are included in csv.

Tutorials available here: https://www.aicrowd.com/challenges/global-wheat-challenge-2021

🕵️ Introduction

Wheat is the basis of the diet of a large part of humanity. Therefore, this cereal is widely studied by scientists to ensure food security. A tedious, yet important part of this research is the measurement of different characteristics of the plants, also known as Plant Phenotyping. Monitoring plant architectural characteristics allow the breeders to grow better varieties and the farmers to make better decisions, but this critical step is still done manually. The emergence of UAV, camera and smartphone makes in-field RGB images more available and could be a solution to manual measurement. For instance, the counting of the wheat head can be done with Deep Learning. However, this task can be visually challenging. There is often an overlap of dense wheat plants, and the wind can blur the photographs, making identify single heads difficult. Additionally, appearances vary due to maturity, colour, genotype, and head orientation. Finally, because wheat is grown worldwide, different varieties, planting densities, patterns, and field conditions must be considered. To end manual counting, a robust algorithm must be created to address all these issues.

💾 Dataset

The dataset is composed of more than 6000 images of 1024x1024 pixels containing 300k+ unique wheat heads, with the corresponding bounding boxes. The images come from 11 countries and covers 44 unique measurement sessions. A measurement session is a set of images acquired at the same location, during a coherent timestamp (usually a few hours), with a specific sensor. In comparison to the 2020 competition on Kaggle, it represents 4 new countries, 22 new measurements sessions, 1200 new images and 120k new wheat heads. This amount of new situations will help to reinforce the quality of the test dataset. The 2020 dataset was labelled by researchers and students from 9 institutions across 7 countries. The additional data have been labelled by Human in the Loop, an ethical AI labelling company. We hope these changes will help in finding the most robust algorithms possible!

The task is to localize the wheat head contained in each image. The goal is to obtain a model which is robust to variation in shape, illumination, sensor and locations. A set of boxes coordinates is provided for each image.

The training dataset will be the images acquired in Europe and Canada, which cover approximately 4000 images and the test dataset will be composed of the images from North America (except Canada), Asia, Oceania and Africa and covers approximately 2000 images. It represents 7 new measurements sessions available for training but 17 new measurements sessions for the test!

📁 Files

Following files are available in the resources section:

• images: the folder contains all images

• competition_train.csv , competition_val.csv, competition_test.csv : contains the splits used for the 2021 Global Wheat Challenge

  • Val contains the "public test", which is the test set of Global Wheat Head 2020

  • Test contains the "private test".

• Metadata.csv : contains additional metadatas for each domain

💻 Labels

• All boxes are contained in a csv with three columns image_name, BoxesString and domain
• image_name is the name of the image, without the suffix. All images have a .png extension
• BoxesString is a string containing all predicted boxes with the format [x_min,y_min, x_max,y_max]. To concatenate a list of boxes into a PredString, please concatenate all list of coordinates with one space (" ") and all boxes with one semi-column ";". If there is no box, BoxesString is equal to "no_box".
• domain give the domain for each image

If you use the dataset for your research, please do not forget to quote:

@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}
}

@misc{david2021global,
title={Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods},
author={Etienne David and Mario Serouart and Daniel Smith and Simon Madec and Kaaviya Velumani and Shouyang Liu and Xu Wang and Francisco Pinto Espinosa and Shahameh Shafiee and Izzat S. A. Tahir and Hisashi Tsujimoto and Shuhei Nasuda and Bangyou Zheng and Norbert Kichgessner and Helge Aasen and Andreas Hund and Pouria Sadhegi-Tehran and Koichi Nagasawa and Goro Ishikawa and Sébastien Dandrifosse and Alexis Carlier and Benoit Mercatoris and Ken Kuroki and Haozhou Wang and Masanori Ishii and Minhajul A. Badhon and Curtis Pozniak and David Shaner LeBauer and Morten Lilimo and Jesse Poland and Scott Chapman and Benoit de Solan and Frédéric Baret and Ian Stavness and Wei Guo},
year={2021},
eprint={2105.07660},
archivePrefix={arXiv},
primaryClass={cs.CV}
}

Global Wheat Detection

## Overview

Global Wheat Detection is a dataset for object detection tasks - it contains Wheat Heads annotations for 3,348 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

jats:pThe detection of wheat heads in plant images is an important task for estimating pertinent wheat traits including head population density and head characteristics such as health, size, maturity stage, and the presence of awns. Several studies have developed methods for wheat head detection from high-resolution RGB imagery based on machine learning algorithms. However, these methods have generally been calibrated and validated on limited datasets. High variability in observational conditions, genotypic differences, development stages, and head orientation makes wheat head detection a challenge for computer vision. Further, possible blurring due to motion or wind and overlap between heads for dense populations make this task even more complex. 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. The GWHD dataset is publicly available at

In the marketing year of 2024/2025, the global production volume of wheat amounted to almost 793 million metric tons. This was an increase compared to the previous marketing year. Wheat in the U.S. The United States produces a large amount of wheat each year, a great deal of which is subsequently exported. In 2022/23, the country imported about 122 million bushels of wheat, while exporting 758 million bushels. North Dakota, Kansas, and Montana were the leading U.S. states in terms of wheat production in 2023. Post Shredded Wheat Post Shredded Wheat is a brand of breakfast cereal, made from whole wheat, owned by the American company, known as Post Consumer Brands. The brand comes in many varieties, including Frosted Shredded Wheat, Original Big Biscuit, and Original Spoon Size. When surveyed in 2020, roughly six and a half million American consumers consumed between one and four portions of regular Post Shredded Wheat for breakfast over the last seven days.

Graph and download economic data for Global price of Wheat (PWHEAMTUSDM) from Jan 1990 to Apr 2025 about wheat, World, and price.

Wheat fell to 545.50 USd/Bu on July 11, 2025, down 1.62% from the previous day. Over the past month, Wheat's price has risen 3.61%, but it is still 0.95% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Wheat - values, historical data, forecasts and news - updated on July of 2025.

The Wheat Market Report is Segmented by Geography (North America, Europe, Asia-Pacific, South America, and Middle East and Africa). The Report Includes Production Analysis (Volume), Consumption Analysis (Volume and Value), Import Analysis (Volume and Value), Export Analysis (Volume and Value), and Price Trend Analysis of the Wheat Market. The Report Offers Market Estimation and Forecasts in Value (USD) and Volume (metric Tons).

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… See the full description on the dataset page: https://huggingface.co/datasets/Etienne-David/GlobalWheatHeadDataset2021.

In the 2024/2025 marketing year, the top consumers of wheat globally were China, India, and the European Union. China consumed about 151 million metric tons of wheat that year. Wheat consumption worldwide is slowly increasing, growing by about eight percent since 2018/2019. Wheat production and trade Not only do they consume the most wheat, but China, the EU, and India are also the leading producers of wheat worldwide. Chine led global production, with about 136.6 million metric tons in 2023/24. Despite being a top producer, China also imports a great deal of wheat. In 2022, China imported about 3.8 billion U.S. dollars’ worth of wheat. Egypt has been one of the leading importer of wheat worldwide for the last several years. Wheat price Prices around the world have risen as of 2022. Many believe that the Russian invasion of Ukraine is to blame for the rising wheat prices and others believe it is the speculation of an impending food crisis that is driving up demand. The price of the most common variety of wheat grown in the U.S., hard red winter wheat, reached an all-time high in May 2022, reaching over 522 dollars per metric ton. Globally, the real household income is expected to decline by about 1.57 percent due to the increased cost of wheat and corn. Some countries will experience a decline of over five percent, showing the real impact that growing prices have on consumers across the world.

growth stages

Learn about the top wheat-producing countries and their contributions to global wheat production. Discover how factors like climate, government support, and agricultural practices influence production levels.

Global consumption of wheat saw a slight increase over the last year, with just under 798 million metric tons consumed in the 2023/24 trade year. In the 2024/2025 trade year, it is expected that about four million metric tons more will be consumed. Global wheat production Wheat is the second most produced type of grain worldwide, only surpassed by corn. In 2022/23, it is forecast that about 784 million metric tons of wheat will be produced globally. China, the European Union, and India were expected to the leading producers of wheat that year, each exceeding one million metric tons in production. Rise of gluten-free diets Wheat is a staple in many diets, as it is a good source of carbohydrates and can be used to make many food items, such as bread, pasta, and other baked goods. Products made from wheat flour are very high in gluten, meaning those who restrict gluten in their diet need to find an alternative. As of June 2023, 11 percent of U.S. consumers reported following a gluten-free diet. Per capita food use of wheat is not expected to dramatically decrease during this period, though.

Graph and download economic data for Global price of Wheat (PWHEAMTUSDQ) from Q1 1990 to Q1 2025 about wheat, World, and price.

Global Wheat Production by Country, 2024 Discover more data with ReportLinker!

Dataset

This dataset was created by Xavier0320

Contents

This statistic illustrates the stocks of wheat worldwide from 2012/2013 to 2023/2024, in addition to a forecast for the 2024/2025 season. In crop year 2015/2016, the global stocks of wheat amounted to about 224 million metric tons. Wheat stocks is forecast to increase to about 265 million metric tons by 2024/2025.

Introduction

Competition Page If you want any update on the Global Wheat Dataset Community, go on https://www.global-wheat.com/ Wheat is a cornerstone of global food security, serving as a dietary staple for billions of people worldwide. Detailed analysis of wheat plants can help scientists and farmers cultivate healthier, more resilient, and more productive crops. The Global Wheat Full Semantic Segmentation (GWFSS) task aims to perform pixel-level segmentation of plant components… See the full description on the dataset page: https://huggingface.co/datasets/XIANG-Shuai/GWFSS-competition.

Global food security requires food production to be increased in the coming decades. The closure of any existing genetic yield gap (Yig) by genetic improvement could increase crop yield potential and global production. Here we estimated present global wheat Yig, covering all wheat-growing environments and major producers, by optimizing local wheat cultivars using the wheat model Sirius. The estimated mean global Yig was 51%, implying that global wheat production could benefit greatly from exploiting the untapped global Yig through the use of optimal cultivar designs, utilization of the vast variation available in wheat genetic resources, application of modern advanced breeding tools, and continuous improvements of crop and soil management.

Global Wheat Feed by Country, 2023 Discover more data with ReportLinker!