A PyTorch-based deep learning pipeline for semantic segmentation of satellite and aerial imagery. Supports 9 architectures, 40+ encoders, multi-class classification, and large image processing.
remote-sensing deep-learning-algorithms satellite-imagery unet-pytorch semantic-segmentation-models deeplabv3v
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Updated
Jan 8, 2026 - Python