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.
Video Annotation at Scale: Auto-Tracking, Interpolation, and Frame-Level Control
A field guide to designing consistent video labels with frame controls, object tracks, interpolation, ML-assisted tracking, and human review.
Image Annotation in Unitlab: From Bounding Boxes to Pixel-Accurate Masks
A practical guide to choosing image annotation geometry, configuring the live Unitlab workbench, and building a review process that protects label quality.
Computer Vision for E-commerce and Retail
Learn how computer vision is being applied in e-commerce and retail to improve operations, user experience, and sales.
The Hidden Cost of Poor Video Annotation (And How to Fix It)
Poor video annotation creates noisy annotated data. Small labeling errors across video frames break temporal context and tracking consistency. Studies show that model accuracy can drop from 95% to nearly 74% when trained on low-quality annotations rather than high-quality annotated data.
Unitlab AI: Advanced Medical Data Annotation for Clinical Imaging
A post on how Unitlab AI solves many existing medical annotation problems and improves existing workflows.
Micromobility Annotation: Essentials, Challenges, and Future
What is Micromobility? What is Micromobility annotation, and why care? Essentials, Trends, Challenges, and Future.