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trincadev/samgis-be

0
View on GitHub↗
0 stars·0 forks·8 views

Samgis Be

Features

  • Geospatial Machine Learning - Applies advanced segmentation models to GIS data.

Star history

Star history chart for trincadev/samgis-beStar history chart for trincadev/samgis-be

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.

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Frequently asked questions

What are the main features of trincadev/samgis-be?

The main features of trincadev/samgis-be are: Geospatial Machine Learning.

Which projects share features with trincadev/samgis-be?

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…

Projects sharing features with Samgis Be

These projects share indexed features with Samgis Be. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • torchgeo/torchgeotorchgeo avatar

    torchgeo/torchgeo

    4,077View on GitHub↗

    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

    Pythoncomputer-visiondatasetsdeep-learning
    View on GitHub↗4,077
  • avanetten/yoltavanetten avatar

    avanetten/yolt

    278View on GitHub↗

    You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery

    C
    View on GitHub↗278
  • ayoolaolafenwa/pixellibayoolaolafenwa avatar

    ayoolaolafenwa/PixelLib

    1,071View on GitHub↗

    Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

    Pythonartificial-intelligencecomputer-visionconvolutional-neural-networks
    View on GitHub↗1,071
  • avanetten/simrdwnavanetten avatar

    avanetten/simrdwn

    223View on GitHub↗

    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…

    C
    View on GitHub↗223
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