How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Pythonic Framework for AI Inference on Geospatial Data
The main features of geospaitial-lab/aviary are: Geospatial Machine Learning.
Projects with overlapping indexed features include: torchgeo/torchgeo — TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and… avanetten/yolt — You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery. ayoolaolafenwa/pixellib — Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/. azavea/raster-vision. charlotte-pel/temporalcnn. avanetten/simrdwn — The Satellite Imagery Multiscale Rapid Detection with Windowed Networks (SIMRDWN) codebase combines some of the…
TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and training neural networks for tasks such as semantic segmentation, object detection, and change detection. It serves as a comprehensive pipeline for remote sensing, featuring specialized dataset loaders and multispectral image preprocessing tools. The library is distinguished by a dedicated remote sensing model zoo and extensive support for transfer learning, allowing users to integrate pre-trained weights optimized for specific satellite sensors. It also includes support for sel
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
The Satellite Imagery Multiscale Rapid Detection with Windowed Networks (SIMRDWN) codebase combines some of the leading object detection algorithms into a unified framework designed to detect objects both large and small in overhead imagery. This work seeks to extend the YOLT modification of…