SAM for Image Segmentation

10 min read

Meta's Segment Anything Model (SAM) enables one-click segmentation of any object, dramatically accelerating image annotation for segmentation tasks.

How SAM Works for Annotation

Click on any object and SAM instantly generates a precise segmentation mask. Add positive or negative points to refine the selection for complex objects.

Best Use Cases for SAM

  • Instance Segmentation - Objects with clear boundaries
  • Medical Imaging - Organs, tumors, anatomical structures
  • Product Photography - E-commerce catalog annotation
  • Satellite Imagery - Buildings, roads, land use
  • Industrial Inspection - Defects and anomalies

SAM Limitations to Consider

SAM may struggle with transparent objects, thin structures, and heavily occluded scenes. Always have annotators review and refine AI-generated masks.