Instance Segmentation Services

Pixel-level masks for individual object instances. Perfect for autonomous driving, robotics, and advanced computer vision with instance-level separation.

Pixel precision
99.5% mask accuracy
Expert verified

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Response within 24 hours • NDA by default

Pixel-Perfect Instance Masks

500
K+

Instances/Month

99.5
%

Mask Accuracy

COCO

Format Ready

48h

Pilot Ready

What is Instance Segmentation?

Instance segmentation goes beyond bounding boxes by providing pixel-perfect masks for each individual object. Unlike semantic segmentation, it distinguishes between separate instances of the same class.

Essential for applications that need to identify and track individual objects in crowded scenes—like counting people in a crowd, separating cars in traffic, or identifying individual products on shelves.

Pixel-perfect object boundaries with manual refinement
Separate overlapping instances of the same class
Handle complex scenes with multiple objects
Support for 100+ object classes and categories
COCO, Pascal VOC, and custom format output
Verified by computer vision specialists

Trusted by AI Leaders

See what our clients say about working with AI Taggers

"Our autonomous driving model needed pixel-perfect instance masks for overlapping vehicles. AI Taggers delivered 200k annotated frames with exceptional quality and consistency across sequences."

Dr. Kevin Zhao
Lead Perception Engineer, DriveAI Systems

Pixel Precision

Every pixel labeled accurately with manual refinement

Quality Control

3-layer QA ensures 99%+ mask accuracy

Secure Pipeline

GDPR compliant with NDA protection


Need Pixel-Perfect Segmentation?

Free pilot with sample masks in 48 hours.