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We present a new dataset, Functional Map of the World (fMoW), which aims to inspire the development of machine learning models capable of predicting the functional purpose of buildings and land use from temporal sequences of satellite images and a rich set of metadata features. The metadata provided with each image enables reasoning about location, time, sun angles, physical sizes, and other features when making predictions about objects in the image. Our dataset consists of over 1 milliondoi:10.1109/cvpr.2018.00646 dblp:conf/cvpr/ChristieFWM18 fatcat:mgd3amrunjedtjb76ydfdmehd4