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Global Wheat Head Detection 2021: an improved dataset for benchmarking wheat head detection methods

Creator: David, E.
Creator: Serouart, M.
Creator: Smith, D.
Creator: Madec, S.
Creator: Velumani, K.
Creator: Shouyang Liu
Creator: Xu Wang
Creator: Pinto Espinosa, F.
Creator: Shafiee, S.
Creator: Tahir, I.S.A.
Creator: Hisashi Tsujimoto
Creator: Shuhei Nasuda
Creator: Bangyou Zheng
Creator: Kirchgessner, N.
Creator: Aasen, H.
Creator: Hund, A.
Creator: Sadhegi-Tehran, P.
Creator: Koichi Nagasawa
Creator: Goro Ishikawa
Creator: Dandrifosse, S.
Creator: Carlier, A.
Creator: Dumont, B.
Creator: Mercatoris, B.
Creator: Evers, B.
Creator: Ken Kuroki
Creator: Haozhou Wang
Creator: Masanori Ishii
Creator: Badhon, M.A.
Creator: Pozniak, C.J.
Creator: LeBauer, D.S.
Creator: Lillemo, M.
Creator: Poland, J.A.
Creator: Chapman, S.
Creator: Solan, B.de
Creator: Baret, F.
Creator: Stavness, I.
Creator: Wei Guo
Year: 2021
URI: https://hdl.handle.net/10883/21706
Language: English
Publisher: Science Partner Journals
Publisher: AAAS
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Type: Article
Place of Publication: USA
Volume: 2021
DOI: 10.34133/2021/9846158
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.
Agrovoc: AGRICULTURAL SCIENCES
Agrovoc: DATA
Agrovoc: DATA COLLECTION
Agrovoc: WHEAT
Related Datasets: https://zenodo.org/record/5092309
ISSN: 2643-6515
Journal: Plant Phenomics
Article number: 9846158


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  • Wheat
    Wheat - breeding, phytopathology, physiology, quality, biotech

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