azavea/raster-vision
A Python framework for building deep learning models on satellite and aerial imagery with PyTorch.
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Raster Vision is an open source library and framework for building computer vision models on satellite, aerial, and drone imagery. It provides a full suite of utilities for geospatial deep learning workflows including reading geo-referenced data, training models, making predictions, and writing predictions in geo-referenced formats. As a low-code framework, it enables users to quickly configure experiments for chip classification, object detection, and semantic segmentation with built-in cloud execution support.
Frequently asked
- What is azavea/raster-vision?
- A Python framework for building deep learning models on satellite and aerial imagery with PyTorch.
- Is raster-vision open source?
- Yes — azavea/raster-vision is open source, released under the Apache-2.0 license.
- What language is raster-vision written in?
- azavea/raster-vision is primarily written in Python.
- How popular is raster-vision?
- azavea/raster-vision has 2.2k stars on GitHub.
- Where can I find raster-vision?
- azavea/raster-vision is on GitHub at https://github.com/azavea/raster-vision.