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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The advent of social media platforms has been a catalyst for the developmentof digital photography that engendered a boom in vision applications. With thismotivation, we introduce a large-scale dataset termed 'Photozilla', whichincludes over 990k images belonging to 10 different photographic styles. Thedataset is then used to train 3 classification models to automatically classifythe images into the relevant style which resulted in an accuracy of ~96%. Withthe rapid evolution of digital photography, we have seen new types ofphotography styles emerging at an exponential rate. On that account, we presenta novel Siamese-based network that uses the trained classification models asthe base architecture to adapt and classify unseen styles with only 25 trainingsamples. We report an accuracy of over 68% for identifying 10 other distincttypes of photography styles. This dataset can be found athttps://trisha025.github.io/Photozilla/

Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles