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

Existing computer vision technologies in artwork recognition focus mainly oninstance retrieval or coarse-grained attribute classification. In this work, wepresent a novel dataset for fine-grained artwork attribute recognition. Theimages in the dataset are professional photographs of classic artworks from theMetropolitan Museum of Art, and annotations are curated and verified byworld-class museum experts. In addition, we also present the iMet Collection2019 Challenge as part of the FGVC6 workshop. Through the competition, we aimto spur the enthusiasm of the fine-grained visual recognition researchcommunity and advance the state-of-the-art in digital curation of museumcollections.

The iMet Collection 2019 Challenge Dataset