3D point cloud labeling tool
Annotate lidar and other point cloud data with an intuitive interface. Support for segmentation and cuboid labels.
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How it works
Manage
Manage your data and labeling team.
Label
Label with intuitive, ML-powered labeling tools.
Improve
Upload model predictions to find failure cases and speed up the labeling.
Label data faster
Advanced automation
Smart labeling tools.
Label objects and regions with a few clicks, assisted by our ML-powered technology. From robotics to microscopic data and from detection to segmentation labels, we've got you covered.
leverage your models
Turn predictions into ground truth.
Get more training data faster by leveraging your model predictions. Use ML-powered tools to verify and correct your predictions.
Manage datasets better
Active learning
Implement active learning pipelines.
Prioritize which data to label, manually or programmatically. Upload confidence scores and embeddings. Start with a small labeled dataset, and iteratively grow it to production level sizes.
Data analysis
Debug your data.
Visualize and compare ground truth labels and model predictions. Investigate where your model is working well and where it is failing. Find failure and edge cases through confidence scores and embeddings.
Easy integration
Integrate into existing workflows.
You are not building your perception pipeline from scratch. Our API and Python SDK enable a deep and seamless integration of our labeling technology into your existing ML pipelines and workflows.
Powerful management tools
Work together.
Collaborate with your team or onboard an external workforce. Our management tools make it easy to build and review large datasets together.
The platform to build better datasets iteratively
Get an introduction to the platform by Otto Debals, CEO of Segments.ai
Book a demo