3D/4D Clouds & Lidar Annotation for ML or AI

Annotate comprehensive 3D environments captured by Lidar , Radar, Ultrasonic or Camera sensors alongside supplementary photo and video context, incorporating AI-driven object tracking and precise point cloud segmentation.

A Complete Toolkit for 3D/4D Clouds & LiDAR

Labeling point cloud scenes is not an easy task. Label AI creatively solves this problem, not only providing a friendly interface, but also improving ease of usability.

polygons

Polygons

Bounding Box

Cuboids

Polyline

Key points

Attributes

Solve Labeling Problems in Real Work

Explore enterprise-level, scalable solutions designed for production-level projects. Dive into our platform and learn how to effectively annotate 3D/4D clouds.

3D Point Cloud Segmentation

Segment different semantic regions like ground, buildings, vehicles, etc., in 3D point cloud data using the polygon tool.

3D-point-cloud-segmentation

AI Assisted Labeling for 3D/4D

In the realm of 3D/4D cloud and LiDAR annotation, AI-assisted labeling coupled with AI-driven pre-annotation emerges as a game-changer. Our innovative platform harnesses the power of artificial intelligence to automate and optimize the annotation process for complex spatiotemporal data sets. Through AI-driven pre-annotation, our system intelligently identifies and segments objects within 3D/4D clouds and LiDAR data, laying a robust foundation for subsequent manual annotations. This new technology speeds up the process of marking up complex data.