An ice-water classification dataset for learning from label proportions 2015 [Canada]
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 b...
Main Authors: | , |
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Format: | Other/Unknown Material |
Language: | unknown |
Published: |
Borealis
2015
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Subjects: | |
Online Access: | https://hdl.handle.net/10864/WJ7VY |
Summary: | 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. |
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