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/

Zendy Plus

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

Zendy Tools

Zendy Open

While an important problem in the vision community is to design algorithmsthat can automatically caption images, few publicly-available datasets foralgorithm development directly address the interests of real users. Observingthat people who are blind have relied on (human-based) image captioningservices to learn about images they take for nearly a decade, we introduce thefirst image captioning dataset to represent this real use case. This newdataset, which we call VizWiz-Captions, consists of over 39,000 imagesoriginating from people who are blind that are each paired with five captions.We analyze this dataset to (1) characterize the typical captions, (2)characterize the diversity of content found in the images, and (3) compare itscontent to that found in eight popular vision datasets. We also analyze modernimage captioning algorithms to identify what makes this new dataset challengingfor the vision community. We publicly-share the dataset with captioningchallenge instructions at https://vizwiz.org

Captioning Images Taken by People Who Are Blind