The U-Net architecture is a deep learning model specifically designed for image segmentation tasks, allowing precise delineation of objects within images. Its distinctive U-shaped structure features an encoder-decoder framework that captures context and enables high-resolution outputs, making it particularly effective for biomedical image analysis, satellite imagery, and more.
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