orthoseg/orthoseg
Train your own neural networks to segment orthophotos.
This tool helps geospatial professionals automatically identify and map features like trees or buildings within large georeferenced images such as drone footage, satellite imagery, or historical maps. You input your orthophotos and a small set of labeled examples, and it outputs segmented maps with your desired features highlighted. It's designed for GIS specialists, cartographers, and environmental analysts.
Available on PyPI.
Use this if you need to quickly and accurately extract specific features from large collections of aerial or satellite imagery without manual tracing.
Not ideal if you require real-time image processing or if your primary task is general image classification rather than precise segmentation of georeferenced features.
Stars
45
Forks
4
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
Dependencies
15
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