An ice-water classification dataset for learning from label proportions 2015 [Canada]

Description:: An ice-water classification dataset for machine learning researchers to test algorithms related to learning from label proportions. The dataset includes patches extracted from 10 RADARSAT-2 dual-polarized scenes, Egg Code polygon (bag) IDs, labels, and the estimated proportion of each bag provided by ice experts.
Creator:: Li, Fan and Taylor, Graham
Publisher:: Scholars Portal Dataverse
Provider:: Scholars Portal Dataverse
Resource Class:: Datasets
Resource Type:: Undetermined
Subject:: Engineering
Spatial Coverage:: Canada
Access Rights:: Public
More details at:: https://hdl.handle.net/10864/WJ7VY

An ice-water classification dataset for learning from label proportions 2015 [Canada] Datasets Public content