Institute of Agricultural Sciences

Global Wheat 2021

Object Detection

Global Wheat 2021 Computer Vision Project

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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.

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.

For more info, visit https://www.global-wheat.com/gwhd.html

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This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            global-wheat-2021_dataset,
                            title = { Global Wheat 2021 Dataset },
                            type = { Open Source Dataset },
                            author = { Institute of Agricultural Sciences },
                            howpublished = { \url{ https://universe.roboflow.com/institute-of-agricultural-sciences/global-wheat-2021 } },
                            url = { https://universe.roboflow.com/institute-of-agricultural-sciences/global-wheat-2021 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-06-15 },
                            }
                        

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Last Updated

a month ago

Project Type

Object Detection

Subject

wheat

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License

CC BY 4.0

Classes

ARC_1 Arvalis_1 Arvalis_10 Arvalis_11 Arvalis_12 Arvalis_2 Arvalis_3 Arvalis_4 Arvalis_5 Arvalis_6 Arvalis_7 Arvalis_8 Arvalis_9 CIMMYT_1 CIMMYT_2 CIMMYT_3 ETHZ_1 Inrae_1 KSU_1 KSU_2 KSU_3 KSU_4 NAU_1 NAU_2 NAU_3 NMBU_1 NMBU_2 Rres_1 Terraref_1 Terraref_2 ULiège-GxABT_1 UQ_1 UQ_10 UQ_11 UQ_2 UQ_3 UQ_4 UQ_5 UQ_6 UQ_7 UQ_8 UQ_9 Ukyoto_1 Usask_1 Utokyo_1 Utokyo_2 Utokyo_3