Drive precision with advanced multi-sensor labeling

  • Get consistent labels and IDs across various sensors and timeframes
  • Expedite your project by labeling multiple sensors simultaneous

  • Get better quality with less effort

Cars driving on an road

Trusted by computer vision engineers from autonomous driving and ADAS companies

The road to success is paved with consistent labeled data

Best-in-class driving intelligence for autonomous vehicles means refusing to compromise data labeling accuracy. From identifying static obstacles like traffic signs to tracking dynamic elements like pedestrians, precise labeling ensures your vehicle navigates with heightened autonomy and safety, even in the most challenging moments.

Read customer case studies, just like yours

  • Autonomous lawnmower from Scythe Robotics

Label all your sensor’s data in one interface

Image data labeling interface

Label fast with ML-assisted Superpixels 2.0 or create pixel perfect annotations with Autosegment.

3D Point Cloud data labeling interface

Label fast, accurate and efficiently with ML-assisted features build for and by machine learning teams.

multi-sensor data fusion labeling interface

Overlay 2D Images with 3D Point Clouds to speed the labeling proces. After labeling the 3D Point Cloud, automatically transpose your 3D cuboids to 2D bounding boxes.

Simplify multi-sensor labeling

Say hello to faster labeling, better quality data, and more time for your engineering team.
You’ve got access to a 14-day free trial to test it for yourself.