Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Robosat | 1,639 | 4 years ago | 45 | mit | Python | |||||
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds | ||||||||||
Hootenanny | 337 | 5 months ago | 180 | gpl-3.0 | JavaScript | |||||
Hootenanny conflates multiple maps into a single seamless map. | ||||||||||
Geomancer | 194 | 3 years ago | 4 | May 06, 2019 | 13 | mit | Python | |||
Automated feature engineering for geospatial data | ||||||||||
Osmdeepod | 188 | 2 years ago | 9 | mit | Python | |||||
OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection"). | ||||||||||
Sat2graph | 112 | a year ago | 11 | mit | OpenEdge ABL | |||||
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding | ||||||||||
Osm Data Classification | 24 | 5 years ago | 1 | mit | Python | |||||
OpenStreetMap Data Classification | ||||||||||
Gabbar | 17 | 5 years ago | 6 | October 22, 2018 | 15 | mit | Jupyter Notebook | |||
Guarding OpenStreetMap from harmful edits using machine learning | ||||||||||
Commercial Centers Using Poi | 7 | a year ago | Jupyter Notebook | |||||||
Identify commercial centers using Points of Interest (POI) data by clustering these points into commercial centers/markets |