This 13-minute walkthrough is the best starting point for anyone new to annotation on Datature Nexus. It covers every tool in the annotation workspace: bounding boxes, polygons, polylines, segmentation brushes, and keypoints, plus the keyboard shortcuts that speed up real labeling sessions.
What This Tutorial Covers
- Navigating the Datature annotation workspace layout
- Drawing bounding boxes for object detection tasks
- Creating polygon and freehand masks for segmentation
- Using brush and eraser tools for pixel-level labeling
- Setting up label classes and managing annotation schemas
- Keyboard shortcuts for switching tools, navigating images, and saving
Why This Matters Before You Train
Model quality starts with annotation quality. Inconsistent labels, missed objects, and sloppy boundaries all flow directly into training loss and show up as prediction errors. Spending 13 minutes learning the tools properly saves hours of debugging bad model outputs later.
Who This Is For
First-time Datature users setting up their annotation workflow. Team leads onboarding new annotators. ML engineers who want to understand the labeling tools before handing off to a labeling team.
