Instance vs. Semantic Segmentation: Similarities & Differences
Announcement
Learn the similarities and differences between instance and semantic segmentation with examples.
Image segmentation is the process of dividing the image into masks, or segments. Depending on the algorithm, there are two major annotation types: semantic and instance segmentation.
Today, we'll cover:
- Instance & semantic segmentation
- Their similarities and differences
- Popular computer vision models for these types
Both types are advanced annotation techniques that result in accurate masks at the cost of longer training, annotation, deployment.