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