SpaceNet

Description

SpaceNet, launched in August 2016 as an open innovation project offering a repository of freely available imagery with co-registered map features. Before SpaceNet, computer vision researchers had minimal options to obtain free, precision-labeled, and high-resolution satellite imagery. Today, SpaceNet hosts datasets developed by its own team, along with data sets from projects like IARPA’s Functional Map of the World (fMoW).

Update Frequency

New imagery and features are added quarterly

License

Various (See here for more details)

Documentation

http://www.spacenet.ai/

Managed By

See all datasets managed by SpaceNet.

Contact

https://spacenet.ai/contact-us/

Usage Examples

Tutorials

• Extracting buildings and roads from AWS Open Data using Amazon SageMaker by Yunzhi Shi, Tianyu Zhang, and Xin Chen
  SageMaker
• Getting Started with SpaceNet Data by Adam Van Etten
  

Tools & Applications

• Solaris: an open source Python library for analyzing overhead imagery with machine learning by Nick Weir
  

Publications

• Creating Training Datasets for the SpaceNet Road Detection and Routing Challenge by Adam Van Etten and Jake Shermeyer
  
• Deploying the SpaceNet 6 Baseline on AWS by Adam Van Etten and Nick Weir
  
• Introducing the SpaceNet Off-Nadir Imagery Dataset by David Lindenbaum
  
• Introducing the SpaceNet Road Detection and Routing Challenge and Dataset by David Lindenbaum
  
• SpaceNet 5 Dataset Release by Adam Van Etten and Ryan Lewis
  
• SpaceNet 6: Dataset Release by Jake Shermeyer
  
• SpaceNet: Winning Implementations and New Imagery Release by Todd Stavish
  
• The SpaceNet 7 Multi-Temporal Urban Development Challenge: Dataset Release by Adam Van Etten