English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The Global Wheat Head Detection (GWHD) dataset was created in 2020 and hasassembled 193,634 labelled wheat heads from 4,700 RGB images acquired fromvarious acquisition platforms and 7 countries/institutions. With an associatedcompetition hosted in Kaggle, GWHD has successfully attracted attention fromboth the computer vision and agricultural science communities. From this firstexperience in 2020, a few avenues for improvements have been identified,especially from the perspective of data size, head diversity and labelreliability. To address these issues, the 2020 dataset has been reexamined,relabeled, and augmented by adding 1,722 images from 5 additional countries,allowing for 81,553 additional wheat heads to be added. We now release a newversion of the Global Wheat Head Detection (GWHD) dataset in 2021, which isbigger, more diverse, and less noisy than the 2020 version. The GWHD 2021 isnow publicly available at http://www.global-wheat.com/ and a new data challengehas been organized on AIcrowd to make use of this updated dataset.

Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods