Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods-Reference-Cited by-同舟云学术

Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods

Published:2021-09-22 Issue: Volume:2021 Page:1-9
ISSN:2643-6515
Container-title:Plant Phenomics
language:en
Short-container-title:Plant Phenomics

Author:

David Etienne¹²^ORCID,Serouart Mario¹²^ORCID,Smith Daniel³^ORCID,Madec Simon¹³^ORCID,Velumani Kaaviya²⁴^ORCID,Liu Shouyang⁵^ORCID,Wang Xu⁶^ORCID,Pinto Francisco⁷^ORCID,Shafiee Shahameh⁸,Tahir Izzat S. A.⁹^ORCID,Tsujimoto Hisashi¹⁰^ORCID,Nasuda Shuhei¹¹^ORCID,Zheng Bangyou¹²^ORCID,Kirchgessner Norbert¹³^ORCID,Aasen Helge¹³^ORCID,Hund Andreas¹³^ORCID,Sadhegi-Tehran Pouria¹⁴^ORCID,Nagasawa Koichi¹⁵^ORCID,Ishikawa Goro¹⁶^ORCID,Dandrifosse Sébastien¹⁷^ORCID,Carlier Alexis¹⁷^ORCID,Dumont Benjamin¹⁸^ORCID,Mercatoris Benoit¹⁷^ORCID,Evers Byron⁶^ORCID,Kuroki Ken¹⁹^ORCID,Wang Haozhou¹⁹^ORCID,Ishii Masanori¹⁹,Badhon Minhajul A.²⁰^ORCID,Pozniak Curtis²¹^ORCID,LeBauer David Shaner²²^ORCID,Lillemo Morten⁸^ORCID,Poland Jesse⁶^ORCID,Chapman Scott³¹²^ORCID,de Solan Benoit¹^ORCID,Baret Frédéric²^ORCID,Stavness Ian²⁰^ORCID,Guo Wei¹⁹^ORCID

Affiliation:

1. Arvalis, Institut du Végétal, 3 Rue Joseph et Marie Hackin, 75116 Paris, France

2. UMR1114 EMMAH, INRAE, Centre PACA, Bâtiment Climat, Domaine Saint-Paul, 228 Route de l’Aérodrome, CS 40509, 84914 Avignon Cedex, France

3. School of Food and Agricultural Sciences, The University of Queensland, Gatton, 4343 QLD, Australia

4. Hiphen SAS, 120 Rue Jean Dausset, Agroparc, Bâtiment Technicité, 84140 Avignon, France

5. Plant Phenomics Research Center, Nanjing Agricultural University, Nanjing, China

6. Wheat Genetics Resource Center, Dep. of Plant Pathology, Kansas State Univ., 4024 Throckmorton Plant Sciences Center, Manhattan, Kansas, USA

7. Global Wheat Program, International Maize and Wheat Improvement Centre (CIMMYT), Mexico, D.F., Mexico

8. Faculty of Biosciences, Norwegian University of Life Sciences, P.O. Box 5003, NO-1432 Ås, Norway

9. Agricultural Research Corporation, Wheat Research Program, P.O. Box 126, Wad Medani, Sudan

10. Arid Land Research Center, Tottori University, Tottori 680-0001, Japan

11. Laboratories of Plant Genetics and Plant Breeding, Graduate School of Agriculture, Kyoto University, Japan

12. CSIRO Agriculture and Food, Queensland Biosciences Precinct, 306 Carmody Road, St Lucia, 4067 QLD, Australia

13. Institute of Agricultural Sciences, ETH Zurich, Universitätstrasse 2, 8092 Zurich, Switzerland

14. Plant Sciences Department, Rothamsted Research, Harpenden, UK

15. Institute of Crop Science, National Agriculture and Food Research Organization, Japan

16. Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization, Japan

17. Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium

18. Plant Sciences, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium

19. Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Midori-cho, Nishitokyo City, Tokyo, Japan

20. Department of Computer Science, University of Saskatchewan, Canada

21. Department of Plant Sciences, University of Saskatchewan, Canada

22. College of Agriculture and Life Sciences, University of Arizona, Tucson, Arizona, USA

Abstract

The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4700 RGB images acquired from various acquisition platforms and 7 countries/institutions. With an associated competition hosted in Kaggle, GWHD_2020 has successfully attracted attention from both the computer vision and agricultural science communities. 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. We now release in 2021 a new version of the Global Wheat Head Detection dataset, which is bigger, more diverse, and less noisy than the GWHD_2020 version.

Funder

Grains Research and Development Corporation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Link

http://downloads.spj.sciencemag.org/plantphenomics/2021/9846158.pdf

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