SpaceNet 6: Dataset Release by Jake Shermeyer.SpaceNet 5 Dataset Release by Adam Van Etten and Ryan Lewis.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.
The dataset will comprise over 40,000 square kilometers of imagery and exhaustive polygon labels of building footprints in the imagery, totaling over 10 million individual annotations. Various (See here for more details) Documentation This dataset consists of Planet satellite imagery mosaics, which includes 24 images (one per month) covering 100 unique geographies.
Spacenet dataset license#
New imagery and features are added quarterly License Today, SpaceNet hosts datasetsĭeveloped by its own team, along with data sets from projects like IARPA’s Functional Map of the World (fMoW). 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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