Semantic segmentation is a computer vision technique that involves classifying each pixel in an image to a specific class or category, allowing for the identification of objects and their boundaries within the scene. This approach is crucial for applications where understanding the context of each pixel is essential, such as in image recognition, autonomous vehicles, and medical imaging. By providing detailed information about the image content, semantic segmentation enhances the ability to analyze and interpret visual data effectively.
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