@SpaceNetChallenge

SpaceNet

Accelerating Machine Learning for Remote Sensing Data

Pinned repositories

  1. BuildingDetectors_Round2

    Building detector algorithms from second SpaceNet Challenge

    HTML 90 34

  2. utilities

    Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine learning algorithms.

    Python 136 66

  3. BuildingDetectors

    Winning building footprint detector implementations from the SpaceNet challenges.

    C++ 97 40

  4. RoadDetector

    Winning Solutions from SpaceNet Road Detection and Routing Challenge

    Python 64 19

  • Winning Solutions from SpaceNet Road Detection and Routing Challenge

    Python 64 19 Updated Sep 21, 2018
  • CSS 7 8 Updated Aug 25, 2018
  • A Vue-based STAC browser intended for static + dynamic deployment

    Vue 4 Updated Aug 12, 2018
  • Tools for Implementation of STAC SPEC for SpaceNet dataset https://github.com/radiantearth/stac-spec/tree/dev

    Jupyter Notebook 3 Apache-2.0 Updated Jul 25, 2018
  • A registry of publicly available datasets on AWS

    Python 59 Apache-2.0 Updated May 18, 2018
  • Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine learning algorithms.

    Python 136 66 Updated Jan 26, 2018
  • apls

    Forked from CosmiQ/apls

    Python code to evaluate the APLS metric

    Python 11 Updated Jan 8, 2018
  • Building detector algorithms from second SpaceNet Challenge

    HTML 90 34 Updated Nov 29, 2017
  • Winning building footprint detector implementations from the SpaceNet challenges.

    C++ 97 40 Updated Mar 10, 2017
  • The purpose of the visualizer application is to let you view 3-band and 8-band images, view ground truth building footprints and your solution's building footprint as overlays on these images, compare truth to solution and calculate your solution's score.

    Java 11 4 Updated Dec 28, 2016