Plant Phenomics (Jan 2021)
Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods
- Etienne David,
- Mario Serouart,
- Daniel Smith,
- Simon Madec,
- Kaaviya Velumani,
- Shouyang Liu,
- Xu Wang,
- Francisco Pinto,
- Shahameh Shafiee,
- Izzat S. A. Tahir,
- Hisashi Tsujimoto,
- Shuhei Nasuda,
- Bangyou Zheng,
- Norbert Kirchgessner,
- Helge Aasen,
- Andreas Hund,
- Pouria Sadhegi-Tehran,
- Koichi Nagasawa,
- Goro Ishikawa,
- Sébastien Dandrifosse,
- Alexis Carlier,
- Benjamin Dumont,
- Benoit Mercatoris,
- Byron Evers,
- Ken Kuroki,
- Haozhou Wang,
- Masanori Ishii,
- Minhajul A. Badhon,
- Curtis Pozniak,
- David Shaner LeBauer,
- Morten Lillemo,
- Jesse Poland,
- Scott Chapman,
- Benoit de Solan,
- Frédéric Baret,
- Ian Stavness,
- Wei Guo
Affiliations
- Etienne David
- Arvalis, Institut du Végétal, 3 Rue Joseph et Marie Hackin, 75116 Paris, France; UMR1114 EMMAH, INRAE, Centre PACA, Bâtiment Climat, Domaine Saint-Paul, 228 Route de l’Aérodrome, CS 40509, 84914 Avignon Cedex, France
- Mario Serouart
- Arvalis, Institut du Végétal, 3 Rue Joseph et Marie Hackin, 75116 Paris, France; UMR1114 EMMAH, INRAE, Centre PACA, Bâtiment Climat, Domaine Saint-Paul, 228 Route de l’Aérodrome, CS 40509, 84914 Avignon Cedex, France
- Daniel Smith
- School of Food and Agricultural Sciences, The University of Queensland, Gatton, 4343 QLD, Australia
- Simon Madec
- Arvalis, Institut du Végétal, 3 Rue Joseph et Marie Hackin, 75116 Paris, France; School of Food and Agricultural Sciences, The University of Queensland, Gatton, 4343 QLD, Australia
- Kaaviya Velumani
- UMR1114 EMMAH, INRAE, Centre PACA, Bâtiment Climat, Domaine Saint-Paul, 228 Route de l’Aérodrome, CS 40509, 84914 Avignon Cedex, France; Hiphen SAS, 120 Rue Jean Dausset, Agroparc, Bâtiment Technicité, 84140 Avignon, France
- Shouyang Liu
- Plant Phenomics Research Center, Nanjing Agricultural University, Nanjing, China
- Xu Wang
- Wheat Genetics Resource Center, Dep. of Plant Pathology, Kansas State Univ., 4024 Throckmorton Plant Sciences Center, Manhattan, Kansas, USA
- Francisco Pinto
- Global Wheat Program, International Maize and Wheat Improvement Centre (CIMMYT), Mexico, D.F., Mexico
- Shahameh Shafiee
- Faculty of Biosciences, Norwegian University of Life Sciences, P.O. Box 5003, NO-1432 Ås, Norway
- Izzat S. A. Tahir
- Agricultural Research Corporation, Wheat Research Program, P.O. Box 126, Wad Medani, Sudan
- Hisashi Tsujimoto
- Arid Land Research Center, Tottori University, Tottori 680-0001, Japan
- Shuhei Nasuda
- Laboratories of Plant Genetics and Plant Breeding, Graduate School of Agriculture, Kyoto University, Japan
- Bangyou Zheng
- CSIRO Agriculture and Food, Queensland Biosciences Precinct, 306 Carmody Road, St Lucia, 4067 QLD, Australia
- Norbert Kirchgessner
- Institute of Agricultural Sciences, ETH Zurich, Universitätstrasse 2, 8092 Zurich, Switzerland
- Helge Aasen
- Institute of Agricultural Sciences, ETH Zurich, Universitätstrasse 2, 8092 Zurich, Switzerland
- Andreas Hund
- Institute of Agricultural Sciences, ETH Zurich, Universitätstrasse 2, 8092 Zurich, Switzerland
- Pouria Sadhegi-Tehran
- Plant Sciences Department, Rothamsted Research, Harpenden, UK
- Koichi Nagasawa
- Institute of Crop Science, National Agriculture and Food Research Organization, Japan
- Goro Ishikawa
- Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization, Japan
- Sébastien Dandrifosse
- Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
- Alexis Carlier
- Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
- Benjamin Dumont
- Plant Sciences, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
- Benoit Mercatoris
- Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium
- Byron Evers
- Wheat Genetics Resource Center, Dep. of Plant Pathology, Kansas State Univ., 4024 Throckmorton Plant Sciences Center, Manhattan, Kansas, USA
- Ken Kuroki
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Midori-cho, Nishitokyo City, Tokyo, Japan
- Haozhou Wang
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Midori-cho, Nishitokyo City, Tokyo, Japan
- Masanori Ishii
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Midori-cho, Nishitokyo City, Tokyo, Japan
- Minhajul A. Badhon
- Department of Computer Science, University of Saskatchewan, Canada
- Curtis Pozniak
- Department of Plant Sciences, University of Saskatchewan, Canada
- David Shaner LeBauer
- College of Agriculture and Life Sciences, University of Arizona, Tucson, Arizona, USA
- Morten Lillemo
- Faculty of Biosciences, Norwegian University of Life Sciences, P.O. Box 5003, NO-1432 Ås, Norway
- Jesse Poland
- Wheat Genetics Resource Center, Dep. of Plant Pathology, Kansas State Univ., 4024 Throckmorton Plant Sciences Center, Manhattan, Kansas, USA
- Scott Chapman
- School of Food and Agricultural Sciences, The University of Queensland, Gatton, 4343 QLD, Australia; CSIRO Agriculture and Food, Queensland Biosciences Precinct, 306 Carmody Road, St Lucia, 4067 QLD, Australia
- Benoit de Solan
- Arvalis, Institut du Végétal, 3 Rue Joseph et Marie Hackin, 75116 Paris, France
- Frédéric Baret
- UMR1114 EMMAH, INRAE, Centre PACA, Bâtiment Climat, Domaine Saint-Paul, 228 Route de l’Aérodrome, CS 40509, 84914 Avignon Cedex, France
- Ian Stavness
- Department of Computer Science, University of Saskatchewan, Canada
- Wei Guo
- Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Midori-cho, Nishitokyo City, Tokyo, Japan
- DOI
- https://doi.org/10.34133/2021/9846158
- Journal volume & issue
-
Vol. 2021
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.
