neptune-ai/open-solution-mapping-challenge
Open solution to the Mapping Challenge :earth_americas:
This project provides an automated way to identify and outline buildings from satellite or aerial imagery. You input raw map images, and it outputs precise binary masks showing the location and shape of each building. This is ideal for urban planners, cartographers, or GIS analysts who need to quickly and accurately update maps or analyze urban development.
388 stars. No commits in the last 6 months.
Use this if you need to precisely segment and map individual buildings from overhead images with high accuracy.
Not ideal if you are looking for a solution that provides ongoing support or if your primary need is general land cover classification rather than specific building identification.
Stars
388
Forks
99
Language
Python
License
MIT
Category
Last pushed
Mar 22, 2021
Commits (30d)
0
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