Text Annotation in Unitlab: Entities, Relations, and Structured Context
How to structure entity and relation annotation in Unitlab, resolve span ambiguity, calibrate reviewers, and create reusable NLP training data.
Audio Annotation in Unitlab: Events, Segmentation, and Speech Workflows
A practical operating guide for audio events, temporal boundaries, transcription-oriented projects, quality review, and versioned delivery in Unitlab.
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.
Multimodal Data Annotation in One Workspace: A Complete Unitlab Tour
A live-product tour of Unitlab's multimodal data operations—from source assets and reusable ontologies to review workflows and versioned releases.
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.
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.
Micromobility Annotation: Essentials, Challenges, and Future
What is Micromobility? What is Micromobility annotation, and why care? Essentials, Trends, Challenges, and Future.