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

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.

SUBMITTER: David E 

PROVIDER: S-EPMC8548052 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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

David Etienne E   Serouart Mario M   Smith Daniel D   Madec Simon S   Velumani Kaaviya K   Liu Shouyang S   Wang Xu X   Pinto Francisco F   Shafiee Shahameh S   Tahir Izzat S A ISA   Tsujimoto Hisashi H   Nasuda Shuhei S   Zheng Bangyou B   Kirchgessner Norbert N   Aasen Helge H   Hund Andreas A   Sadhegi-Tehran Pouria P   Nagasawa Koichi K   Ishikawa Goro G   Dandrifosse Sébastien S   Carlier Alexis A   Dumont Benjamin B   Mercatoris Benoit B   Evers Byron B   Kuroki Ken K   Wang Haozhou H   Ishii Masanori M   Badhon Minhajul A MA   Pozniak Curtis C   LeBauer David Shaner DS   Lillemo Morten M   Poland Jesse J   Chapman Scott S   de Solan Benoit B   Baret Frédéric F   Stavness Ian I   Guo Wei W  

Plant phenomics (Washington, D.C.) 20210922

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  ...[more]

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