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Semantic Segmentation

Semantic Segmentation is a solution for partitioning and classifying regions of 2D or 3D data into meaningful parts and categories.

Key Capabilities Used

Features

  • Pixel-level classification
  • Instance separation
  • Boundary detection
  • Multi-class segmentation
  • Real-time processing

Use Cases

  • Scene parsing
  • Medical imaging
  • Autonomous navigation
  • Remote sensing
  • Industrial inspection

Technologies

  • Fully Convolutional Networks
  • U-Net architectures
  • Transformer models
  • Point cloud segmentation
  • Deep learning encoders/decoders

Tools