Multi-sensor labeling for off-road mobile robotics

  • Get consistent labels across time and modalities

  • Navigate autonomously with precise and exhaustive data labels

  • Iteratively improve accuracy with model-assisted labeling

Scythe Robotics M.52

Trusted by computer vision engineers from off-road robotics

Get your off-road data labeled fast and accurately

For off-road mobile robots, efficiency is deeply tied to the quality of data labeling. Higher quality annotation leads to more autonomy and precise navigation, especially across intricate terrains. This extends from detecting larger, static objects to smaller, dynamic ones like trash, branches, and personal items.

Read customer case studies, just like yours

  • Growing and harvesting fruit

  • 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.