SpaceNetChallenge/BuildingDetectors

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Created over 7 years ago
Updated over 7 years ago

SpaceNetChallenge/BuildingDetectors

SpaceNetChallenge

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Winning building footprint detector implementations from the SpaceNet challenges.

SpaceNet Challenge Implementations

SpaceNet Challenge 1 - Rio de Janeiro Building Footprint Extraction

Winning solutions:

utilities

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

RoadDetector

Winning Solutions from SpaceNet Road Detection and Routing Challenge

BuildingDetectors_Round2

Building detector algorithms from second SpaceNet Challenge

SpaceNet_Off_Nadir_Solutions

Winning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challenge

SpaceNet8

Algorithmic baseline for SpaceNet 8 Challenge

SpaceNet_SAR_Buildings_Solutions

The winning solutions for the SpaceNet 6 Challenge

Jupyter Notebook

SpaceNet7_Multi-Temporal_Solutions

SpaceNet_Optimized_Routing_Solutions

SAR-RGB-DataFusion

A small codebase featuring a few elementary methods for SAR and Optical imagery data fusion

Jupyter Notebook

BuildingDetectorVisualizer

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.

stac-implementation

Tools for Implementation of STAC SPEC for SpaceNet dataset https://github.com/radiantearth/stac-spec/tree/dev

Jupyter Notebook

ml-export-tool