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

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Manage your data and labeling team.

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Label with intuitive, ML-powered labeling tools.

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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.

Model predictions vs. corrected labels

Manage datasets better

Add samples with a certain priority.
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.

Visualize model predictions
Code to create a dataset and upload images
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.

Collaborator overview
Datasets overview
Labels overview

The platform to build better datasets iteratively

Get an introduction to the platform by Otto Debals, CEO of Segments.ai

Book a demo