SageMaker vs
for 3D point cloud labeling

Discover why is the better solution for lidar annotation, both for segmentation and object detection.

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Why teams prefer

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Advanced labeling features

Label point cloud sequences fast with keyframe interpolation

Sensor fusion: visualize point clouds and images in the same interface

Use batch mode to label and review dynamic objects faster

Label static objects directly in a merged point cloud view

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Easy to set up and integrate

Simple yet powerful Python SDK

Comprehensive documentation

Responsive support by actual engineers

Compare features

Feature logo Amazon SageMaker logo
Point cloud segmentation (docs)
Cuboid (bounding box) annotations (docs)
Vector (polygon, keypoint) annotations
Keyframe interpolation (docs)
Batch mode (view multiple frames) (docs)
Merged point cloud view (docs)
Customizable hotkeys (docs)
Responsive support (email/Slack/Discord)

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