Labellerr’s October 2025 release introduces smarter dataset tagging, reusable file viewers, SDK automation, and new canvas shortcuts. These updates enhance annotation speed, streamline workflows, and prepare teams for scalable ML operations.

Greater Transparency and Control in Project Workflows This month’s release introduces enhancements to project creation, improved handling of grouped annotations, and new validation for object-type tasks. Together, these updates make project workflows faster, more transparent, and more reliable for annotators and reviewers. 1. Start Annotating Projects Immediately with Smarter

Advancing Precision in Video Annotation This month’s release focuses on improving video annotation workflows, enhancing SAM2 tracking, and adding finer control for editing. These updates are designed to make annotation more accurate, efficient, and user-friendly for both annotators and reviewers. 1. Frame-by-Frame Precision in Video Annotation to Eliminate Off-Sync