htcr/sam_road
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
This project helps urban planners, cartographers, and geospatial analysts automatically map road networks. It takes in large-scale aerial or satellite imagery and outputs a vectorized graph of roads, complete with nodes and edges. This allows for efficient analysis and integration into mapping systems.
267 stars. No commits in the last 6 months.
Use this if you need to quickly and accurately extract detailed road network graphs from aerial or satellite images for mapping, infrastructure planning, or geographic information systems (GIS).
Not ideal if you're looking for a simple, off-the-shelf application that doesn't require technical setup or if your primary need is object detection other than road networks.
Stars
267
Forks
39
Language
Python
License
MIT
Last pushed
Aug 10, 2024
Commits (30d)
0
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