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The Semantic Segmentation or Pixel-level labeling is used to label each and every pixel in the image into the segments you need your computer vision algorithm to recognize. Unlike polygonal segmentation, which is used specifically to detect a defined object of interest, full semantic segmentation provides a complete understanding of every pixel of the scene in the image and can be really ideal when amounts of source data is scarce.
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