Advanced multi-sensor labeling for delivery robots

  • Label consistency across various scenarios and timeframes.
  • Get faster from POC to production by labeling multiple sensors simultaneous

  • Minimize oversight and corrections with multi-sensor labels

Mobile robotics from Cartken delivering goods in a busy city

Trusted by computer vision engineers from delivery and off-road robotics

Empowering your computer vision team with speedy, accurate data labeling

In the world of delivery robotics, the pathway to optimal autonomous navigation pivots on impeccably labeled data. But this process is labor intensive, with room for human errors and inconsistencies. Multi-sensor labeling will optimize the annotation process and reduce the time spent on making corrections.

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.