Winning Solutions from SpaceNet Road Detection and Routing Challenge
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Updated
Jul 6, 2023 - Python
Winning Solutions from SpaceNet Road Detection and Routing Challenge
Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
Building detection from the SpaceNet dataset using UNet.
5th-place solution for SpaceNet-8: Flood Detection Challenge Using Multiclass Segmentation
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Building detection from the SpaceNet dataset by using Mask RCNN.
This software is a modification of Visualizer from Spacenet competition for road extraction. I made it work for DeepGlobe dataset also.
Building detector algorithms from second SpaceNet Challenge
Mask RCNN trained to detect buildings from the SpaceNet Off Nadir dataset
Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine learning algorithms.
Automatic Building Footprint Segmentation: U-Net Production-Level API
Tools for Implementation of STAC SPEC for SpaceNet dataset https://github.com/radiantearth/stac-spec/tree/dev
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