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