developmentseed/label-maker
Data Preparation for Satellite Machine Learning
This tool helps satellite imagery analysts and GIS professionals prepare data for machine learning models. It takes geographic features from OpenStreetMap and corresponding satellite images, then combines them into a single file format (`.npz`) that's ready for training AI models to identify objects or features in satellite data. It's used by anyone developing machine learning applications with satellite imagery.
472 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to efficiently create structured datasets of satellite imagery and OpenStreetMap features for machine learning training.
Not ideal if you are working with aerial imagery from drones or other non-satellite sources, or if your machine learning task doesn't involve geographic features from OpenStreetMap.
Stars
472
Forks
108
Language
Python
License
MIT
Category
Last pushed
Oct 03, 2023
Commits (30d)
0
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