SpaceNet on AWS
gis computer vision machine learning earth observation disaster response
Description
A corpus of commercial satellite imagery and labeled training data to foster innovation in the development of computer vision algorithms.
Update Frequency
New imagery and features are added quarterly
License
Various (See here for more details)
Documentation
https://spacenetchallenge.github.io
Managed By
Contact
https://github.com/SpaceNetChallenge/utilities/issues
Usage Examples
- 2nd SpaceNet Competition Winners Code Release by David Lindenbaum
- Building Extraction with YOLT2 and SpaceNet Data by Adam Van Etten
- Getting Started with SpaceNet Data by Adam Van Etten
- Introducing the SpaceNet Road Detection and Routing Challenge and Dataset by David Lindenbaum
- Solving SpaceNet Road Detection Challenge With Deep Learning by Jonathan Howe, May Casterline and Abel Brown
- SpaceNet: Winning Implementations and New Imagery Release by Todd Stavish
Resources on AWS
-
- Description
- Imagery and metadata in a S3 bucket
- Resource type
- S3 Bucket
- Amazon Resource Name (ARN)
arn:aws:s3:::spacenet-dataset- AWS Region
us-east-1