Instance Segmentation
Go beyond bounding boxes with pixel-level masks for every detected object. Identify, separate, and measure individual instances with precision.
See it in action
These are real pixel-level masks from the API. Every colored region is an actual segmentation result decoded from RLE-encoded mask data. Hover over any region to inspect it.
How it works
Pixel-perfect segmentation in three simple steps.
Upload Image
Send any image via our REST API or dashboard. JPEG, PNG, and WebP supported up to 25MB.
AI Segmentation
Our model identifies every object instance and generates pixel-precise RLE-encoded masks with class labels and confidence scores.
Get Masks
Receive RLE-encoded masks, labels, and confidence scores for every detected instance. Decode masks to get per-pixel segmentation.
Real-world use cases
See how teams use instance segmentation in production.
Medical Image Analysis
Segment tumors, organs, and tissue types in medical scans for precise measurement and diagnosis assistance.
Photo Editing & Compositing
Create precise cutouts of individual objects for professional photo manipulation and creative compositing.
Autonomous Navigation
Understand road scenes at pixel-level: segment lanes, sidewalks, vehicles, and pedestrians for safe navigation.
Industrial Inspection
Identify and measure individual defects, components, and assembly parts on production lines.