December 6, 2016
Population Density Estimation with Deconvolutional Neural Networks
Workshop on Large Scale Computer Vision at NIPS 2016
This work is part of the Internet.org initiative to provide connectivity all over the world. Population density data is helpful in driving a variety of technology decisions, but currently, a microscopic dataset of population doesn’t exist. Current state of the art population density datasets are at ~1000km2 resolution. To create a better dataset, we have obtained 1PB of satellite imagery at 50cm/pixel resolution to feed through our building classification pipeline.
By: Amy Zhang, Xianming Liu, Tobias Tiecke, Andreas Gros
Facebook AI Research