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…
The main features of esri/deep-learning-frameworks are: Geospatial Machine Learning.
Open-source alternatives to esri/deep-learning-frameworks 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…