Labellerr introduces a set of improvements designed to make keypoint-based annotation more powerful, more intuitive, and easier to manage at scale. This release focuses on improving both annotation precision and operational efficiency for teams working across image and video datasets. From enhanced hand tracking support to body pose annotation, improved

At Labellerr, we continue improving annotation workflows to help AI teams work faster, maintain quality, and scale operations more efficiently. This latest update introduces improvements across annotation precision, review workflows, usability, and video handling. Here’s what’s new. Auto-Bordering for Overlapping Annotations Handling overlapping objects is a common challenge