sat-water -> Semantic segmentation of water bodies in satellite imagery, producing pixel-wise water masks from remote sensing images using a U-Net–style deep learning pipeline (data preparation, ...
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The high-resolution photos are rich in semantic information, but they are not suitable for direct use in picking operations and would consume considerable resources if used directly for training.
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