SpaceNet 8 - The Detection of Flooded Roads and Buildings by Ronny Hansch, Jacob Arndt, Dalton Lunga, Matthew Gibb, Tyler Pedelose, Arnold Boedihardjo, Desiree Petrie, Todd M.SpaceNet 6: Dataset Release by Jake Shermeyer.We have a demonstrated solution that can deliver much higher bandwidths, at affordable costs that can help roll out 5G at a rapid pace. SpaceNet 5 Dataset Release by Adam Van Etten and Ryan Lewis Astrome is pioneering the future of millimeter wave wireless communication be it on earth or from space.Introducing the SpaceNet Road Detection and Routing Challenge and Dataset by David Lindenbaum.Introducing the SpaceNet Off-Nadir Imagery Dataset by David Lindenbaum.FCAU-Net for the Semantic Segmentation of Fine-Resolution Remotely Sensed Images by Xuerui Niu, Qiaolin Zeng, Xiaobo Luo and Liangfu Chen.Deploying the SpaceNet 6 Baseline on AWS by Adam Van Etten and Nick Weir.Creating Training Datasets for the SpaceNet Road Detection and Routing Challenge by Adam Van Etten and Jake Shermeyer.Accelerating Ukraine Intelligence Analysis with Computer Vision on Synthetic Aperture Radar Imagery by Ritwik Gupta, Colorado Reed, Anja Rohrbach, and Trevor Darrell.Solaris: an open source Python library for analyzing overhead imagery with machine learning by Nick Weir.Getting Started with SpaceNet Data by Adam Van Etten.Extracting buildings and roads from AWS Open Data using Amazon SageMaker by Yunzhi Shi, Tianyu Zhang, and Xin Chen. Various (See here for more details) Documentation New imagery and features are added quarterly License Today, SpaceNet hosts datasets developed by its own team. Before SpaceNet, computer vision researchers had minimal options to obtain free, precision-labeled, and high-resolution satellite imagery. Today, SpaceNet hosts datasetsÄeveloped by its own team, along with data sets from projects like IARPA’s Functional Map of the World (fMoW). SpaceNet, launched in August 2016 as an open innovation project offering a repository of freely available imagery with co-registered map features. To obtain free, precision-labeled, and high-resolution satellite imagery. Before SpaceNet, computer vision researchers had minimal options SpaceNet, launched in August 2016 as an open innovation project offering a repository of freely available
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