Elevate your autonomous transit systems with multi-sensor labeling

  • Get consistently accurate annotations across time and modalities
  • Get simultaneous sensor labeling

  • Reduced quality checks with first-label accuracy

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data labeling for autonomous public transportation

Trusted by computer vision engineers working on public transportation driving

Drive autonomous public transportation forward with accurate and fast data labeling

In the fast-track world of autonomous public transportation, high-precision data labeling is the engine of safe, reliable navigation through crowded stations and tranquil tracks alike. Ensure that your vehicles, from trains to airplanes, discern every entity along their route, prioritizing passenger safety and timely arrivals.

Read customer case studies, just like yours

  • Autonomous rail transportation with OTIV

  • Autonomous lawnmower from Scythe Robotics

Label all your sensor’s data in one interface

Image data labeling interface

Image 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

Multi-sensor data fusion

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.

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Simplify multi-sensor labeling

Say hello to faster labeling, better quality data, and more time for your engineering team.
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