Human-in-the-Loop Annotation: Combining Model, Annotate, and Review Stages
How to turn model proposals, human correction, and review evidence into a controlled Unitlab workflow that improves data quality over time.
Bring Your Own AI Model to Unitlab: A Practical Enterprise Integration Guide
A live-product guide to registering an external annotation model in Unitlab and designing the security, mapping, validation, and rollback controls around it.
Find Similar in Unitlab: Turn One Trusted Annotation into Many Candidates
A practical guide to seed-object quality, confidence thresholds, candidate review, and measuring Unitlab Find Similar on repeated visual patterns.
Prompt-Based Auto-Labeling: Detect Every Object in a Class with Unitlab
How class-aware prompting can accelerate object detection while keeping scope, review, and acceptance under human control.
Magic Touch in Unitlab: Faster Interactive Segmentation Without Losing Control
A practical guide to human-guided segmentation with Magic Touch, including class setup, boundary review, benchmarking, and quality workflows.
High-Performance Video Annotation for Computer Vision | Unitlab AI
Video annotation for computer vision is the process of labeling objects, actions, or regions in video frames to create ground-truth data for computer vision models. It involves drawing bounding boxes, polygons, segmentation masks, or keypoints on objects of interest in each frame.
SAM 3: Key Challenges in Video Annotation Tracking
Applying SAM 3 to video annotation and object tracking looks powerful on
