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

Cloud masking is a crucial task that is well-motivated for meteorology andits applications in environmental and atmospheric sciences. Its goal is, givensatellite images, to accurately generate cloud masks that identify each pixelin image to contain either cloud or clear sky. In this paper, we summarize someof the ongoing research activities in cloud masking, with a focus on theresearch and benchmark currently conducted in MLCommons Science Working Group.This overview is produced with the hope that others will have an easier timegetting started and collaborate on the activities related to MLCommons CloudMask Benchmark.

An Overview of MLCommons Cloud Mask Benchmark: Related Research and Data