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apls

Python code to evaluate the APLS metric

basiss

Broad Area Satellite Imagery Semantic Segmentation

buildingdetectors

Winning building footprint detector implementations from the SpaceNet challenges.

buildingdetectors_round2

Building detector algorithms from second SpaceNet Challenge

cometts

Comet Time Series Toolset for working with a time-series of remote sensing imagery and user defined polygons

cosmiq_sn4_baseline

Baseline models, scripts, and helper functions for the SpaceNet 4: Off-Nadir Building Detection Challenge

cosmiq_sn6_baseline

Baseline algorithm for the SpaceNet 6 Challenge

cosmiq_sn7_baseline

The SpaceNet 7 Baseline Algorithm

cresi

Road network extraction from satellite imagery, with speed and travel time estimates

cw-eval

CosmiQ Works Evaluation Library for Geospatial Machine Learning

cw-geodata

CosmiQ Works Geospatial Processing Toolkit for Machine Learning

cw-nets

cw-nets: built for inference against large scale geotiffs

cw-tiler

cw-tiler built for tiling large geotiffs for SpaceNet

cw_eval-old-retired

downlinq_blog

rfsr

Random Forest Super-Resolution (RFSR)

roaddetector

Winning Solutions from SpaceNet Road Detection and Routing Challenge

sar-rgb-datafusion

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

simrdwn

Rapid satellite imagery object detection

solaris

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

solaris_tutorials

Tutorials and workshop materials for solaris

spacenet7_multi-temporal_solutions

spacenet_off_nadir_solutions

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

spacenet_optimized_routing_solutions

spacenet_sar_buildings_solutions

The winning solutions for the SpaceNet 6 Challenge

stac-implementation

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

super-resolution

utilities

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

vdsr4geo

TensorFlow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks" adapted for working with geospatial data

yolt

You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery