Multi-modal versatility
Annotate camera, depth, and LiDAR data together, in 2D and 3D, to capture the full work cell.
Robotics & manufacturing
Build robots that see, inspect, and act.
A professional platform for annotating sensor, LiDAR, and video data into ML-ready datasets for robot navigation, conveyor automation, and production quality control.
Applications
Object detection & localization
Annotate components and tools in complex environments to enable precise robotic manipulation and automated assembly.
Technical edge
AI-powered automation
Pre-label parts and tools, then interpolate their poses and tracks across production footage.
Quality control
Validation and review catch missed defects and pose errors before data reaches training.
Collaborative workflow
Split line-scale labeling between annotators and reviewers, with role-based access.
Customization & integration
Define custom classes for parts, defects, and zones, and connect to your robotics or ML stack via API.
Enterprise-grade security
Protect proprietary process data with strict confidentiality and on-premise deployment.
Annotation types
Bounding box
Rectangular boxes that detect and classify parts, tools, products, and machines on lines and in warehouses.
Oriented bounding box
Rotated rectangles that capture the position, angle, and orientation of components, tools, and robotic parts.
Polygon
Flexible shapes that outline machine parts, assemblies, work zones, and safety areas.
Points
Single points that mark features, defects, or references on parts for precision robotics and inspection.
Lines & multilines
Trace conveyor paths, robot trajectories, assembly lines, cables, and structural edges.
Skeletons
Connected keypoints that model operators or robotic arms for motion, ergonomics, and interaction analysis.
Cuboid
3D boxes that estimate the position and dimensions of machines, products, and robots on the floor.
3D point cloud
Label LiDAR and depth data to build accurate 3D models of factories, warehouses, and production lines.
Semantic segmentation
Pixel-level classification of scenes into machines, floors, tools, people, and safety zones.
Instance segmentation
Pixel-wise separation of individual parts or products in the same class for precise tracking and counting.
Bitmap
Precise raster masks that isolate complex objects like assemblies, cables, or reflective surfaces.
Mesh
3D surface reconstruction for digital twins of factories, lines, and equipment.
Custom
A mix of annotation methods built around your specific robotics or inspection task.
Put your robotics data to work
Book a demo and we'll scope your robotics dataset with you.
Custom solution? hello@keylabs.ai
