Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine learning algorithms.
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Updated
Jul 2, 2019 - Python
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spacenet-challenges
Here are 6 public repositories matching this topic...
Winning Solutions from SpaceNet Road Detection and Routing Challenge
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Updated
Jul 6, 2023 - Python
Building detector algorithms from second SpaceNet Challenge
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Jun 18, 2020 - HTML
Routines for extracting and working with polygons from semantic segmentation masks
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Jan 4, 2021 - Python
Codes for TGRS paper: DisOptNet: Distilling Semantic Knowledge from Optical Images for Weather-independent Building Segmentation
remote-sensing
sar
knowledge-distillation
spacenet-challenges
building-segmentation
building-footprint-segmentation
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Oct 28, 2024 - Python
5th-place solution for SpaceNet-8: Flood Detection Challenge Using Multiclass Segmentation
competition
pytorch
satellite-imagery
semantic-segmentation
deep-learing
spacenet
spacenet-challenges
spacenet-dataset
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Updated
Oct 29, 2024 - Python
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