motokimura/spacenet_building_detection
Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
This project helps urban planners, GIS analysts, or disaster response teams automatically identify buildings in satellite imagery. You input raw SpaceNet satellite images, and it outputs precise outlines of buildings. This is valuable for professionals who need to map or monitor built-up areas efficiently.
203 stars. No commits in the last 6 months.
Use this if you need to train a convolutional neural network to accurately segment and identify building footprints from satellite images, particularly using the SpaceNet dataset.
Not ideal if you need a plug-and-play solution for building detection without needing to train or evaluate a deep learning model yourself.
Stars
203
Forks
57
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 29, 2023
Commits (30d)
0
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