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A benchmarking framework and evaluation suite for comparing deep learning models (like U-Net, DeepLabV3+) on cloud detection and segmentation tasks in satellite imagery.
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This project is essentially a code artifact for an academic paper. With zero stars and minimal activity, it serves as a reference for researchers rather than a production tool. It applies standard computer vision architectures to a specific domain (remote sensing) without introducing a novel architectural moat.
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