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Multi-sensor labeling platform for robotics and autonomous vehicles

Multi-sensor - point cloudMulti-sensor - image labeled

Trusted by computer vision engineers across robotics and AV companies

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Blank Google Docs copy

Create a spec sheet for data labeling projects, to involve the team in the process and to ensure everyone is on the same page.
Create a blank copy

3D Sensor information

Overview of the supported file formats for point clouds.
Point cloud formats

2D sensor information

Examples for camera intrinsics and camera extrinsics.
Camera intrinsics & extrinsics

Examples for camera distortion such as fisheye and brown conrady. Read more in the recent blogpost on simulating real cameras using three.js.

Camera distortion

Task types

Overview of all the available task types for images, point clouds, multi-sensor and text.
Task types

General labeling rules

See the ability to set a visual radius for taskers.

More on radius

Category description

Visit the documentation hub on how to create and to manage categories on segments.ai.
Categories and task attributes

Attributes description

Visit the documentation hub on how to create and to manage attributes on segments.ai.

Categories and task attributes
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Simplify multi-sensor labeling

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