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Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods
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 atten...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548052/ https://www.ncbi.nlm.nih.gov/pubmed/34778804 http://dx.doi.org/10.34133/2021/9846158 |
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author | David, Etienne Serouart, Mario Smith, Daniel Madec, Simon Velumani, Kaaviya Liu, Shouyang Wang, Xu Pinto, Francisco Shafiee, Shahameh Tahir, Izzat S. A. Tsujimoto, Hisashi Nasuda, Shuhei Zheng, Bangyou Kirchgessner, Norbert Aasen, Helge Hund, Andreas Sadhegi-Tehran, Pouria Nagasawa, Koichi Ishikawa, Goro Dandrifosse, Sébastien Carlier, Alexis Dumont, Benjamin Mercatoris, Benoit Evers, Byron Kuroki, Ken Wang, Haozhou Ishii, Masanori Badhon, Minhajul A. Pozniak, Curtis LeBauer, David Shaner Lillemo, Morten Poland, Jesse Chapman, Scott de Solan, Benoit Baret, Frédéric Stavness, Ian Guo, Wei |
author_facet | David, Etienne Serouart, Mario Smith, Daniel Madec, Simon Velumani, Kaaviya Liu, Shouyang Wang, Xu Pinto, Francisco Shafiee, Shahameh Tahir, Izzat S. A. Tsujimoto, Hisashi Nasuda, Shuhei Zheng, Bangyou Kirchgessner, Norbert Aasen, Helge Hund, Andreas Sadhegi-Tehran, Pouria Nagasawa, Koichi Ishikawa, Goro Dandrifosse, Sébastien Carlier, Alexis Dumont, Benjamin Mercatoris, Benoit Evers, Byron Kuroki, Ken Wang, Haozhou Ishii, Masanori Badhon, Minhajul A. Pozniak, Curtis LeBauer, David Shaner Lillemo, Morten Poland, Jesse Chapman, Scott de Solan, Benoit Baret, Frédéric Stavness, Ian Guo, Wei |
author_sort | David, Etienne |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8548052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AAAS |
record_format | MEDLINE/PubMed |
spelling | pubmed-85480522021-11-12 Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods David, Etienne Serouart, Mario Smith, Daniel Madec, Simon Velumani, Kaaviya Liu, Shouyang Wang, Xu Pinto, Francisco Shafiee, Shahameh Tahir, Izzat S. A. Tsujimoto, Hisashi Nasuda, Shuhei Zheng, Bangyou Kirchgessner, Norbert Aasen, Helge Hund, Andreas Sadhegi-Tehran, Pouria Nagasawa, Koichi Ishikawa, Goro Dandrifosse, Sébastien Carlier, Alexis Dumont, Benjamin Mercatoris, Benoit Evers, Byron Kuroki, Ken Wang, Haozhou Ishii, Masanori Badhon, Minhajul A. Pozniak, Curtis LeBauer, David Shaner Lillemo, Morten Poland, Jesse Chapman, Scott de Solan, Benoit Baret, Frédéric Stavness, Ian Guo, Wei Plant Phenomics Database/Software Article 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. AAAS 2021-09-22 /pmc/articles/PMC8548052/ /pubmed/34778804 http://dx.doi.org/10.34133/2021/9846158 Text en Copyright © 2021 Etienne David et al. https://creativecommons.org/licenses/by/4.0/Exclusive Licensee Nanjing Agricultural University. Distributed under a Creative Commons Attribution License (CC BY 4.0). |
spellingShingle | Database/Software Article David, Etienne Serouart, Mario Smith, Daniel Madec, Simon Velumani, Kaaviya Liu, Shouyang Wang, Xu Pinto, Francisco Shafiee, Shahameh Tahir, Izzat S. A. Tsujimoto, Hisashi Nasuda, Shuhei Zheng, Bangyou Kirchgessner, Norbert Aasen, Helge Hund, Andreas Sadhegi-Tehran, Pouria Nagasawa, Koichi Ishikawa, Goro Dandrifosse, Sébastien Carlier, Alexis Dumont, Benjamin Mercatoris, Benoit Evers, Byron Kuroki, Ken Wang, Haozhou Ishii, Masanori Badhon, Minhajul A. Pozniak, Curtis LeBauer, David Shaner Lillemo, Morten Poland, Jesse Chapman, Scott de Solan, Benoit Baret, Frédéric Stavness, Ian Guo, Wei Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods |
title | Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods |
title_full | Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods |
title_fullStr | Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods |
title_full_unstemmed | Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods |
title_short | Global Wheat Head Detection 2021: An Improved Dataset for Benchmarking Wheat Head Detection Methods |
title_sort | global wheat head detection 2021: an improved dataset for benchmarking wheat head detection methods |
topic | Database/Software Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8548052/ https://www.ncbi.nlm.nih.gov/pubmed/34778804 http://dx.doi.org/10.34133/2021/9846158 |
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