Crowdsourced Mapping

Crowdsourced data from OpenStreetMap is used to automate the classification of satellite images into different land cover classes (impervious, farm, forest, grass, orchard, water).

資料與資源

額外的資訊

欄位	值
作者	MCI Machine Learning Repository
最後更新	九月 7, 2018, 14:43 (CST)
建立	九月 7, 2018, 14:43 (CST)
Area	"Physical"
Associated Tasks	"Classification"
Attribute Characteristics	"N/A"
Data Set Characteristics	"Multivariate"
Date Donated	"2016-05-25"
Missing Values	"N/A"
Number of Instances	"10546"
Number of Web Hits	"8921"
Number_of_Attributes	"29"