Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.
machine-learning
deep-learning
tensorflow
keras
gdal
artificial-intelligence
remote-sensing
segmentation
satellite-imagery
unet
segnet
semantic-segmentation
fully-convolutional-networks
msc-project
pixel-labeling
road-extraction
resunet
satellite-image-segmentation
label-pixels
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Updated
Nov 7, 2022 - Python