Segments.ai

Description

Segments.ai is a comprehensive multi-sensor data labeling platform tailored for robotics and autonomous vehicles. It allows machine learning teams to label point cloud and image data in a single task, streamlining the annotation process for large-scale robotics projects. The platform supports unlimited size uploads of point clouds, utilizing a 3D Point Cloud interface that divides data into 3D tiles for faster loading and reduced GPU workload. This approach ensures a responsive user experience similar to Google Maps' use of low to high-resolution images.

Segments.ai offers Batch Mode for labeling dynamic objects, where users can view all instances of an object in a sequence on a scrollable screen. This feature simplifies label corrections by allowing modifications to be applied across all frames. For stationary objects, the Merged Point Cloud mode consolidates frames into one large point cloud, enhancing visibility and precision in annotation.

The platform incorporates machine learning-assisted tools, such as automated cuboid propagation, which enables users to label a moving object once and track it across frames automatically. Keyframe interpolation further speeds up 3D bounding box labeling. Users can also rotate cuboids along all three axes for precise orientation control.

Segments.ai integrates seamlessly into workflows with a powerful Python SDK, offering flexibility in data labeling processes. It serves industries like automotive, off-road robotics, delivery robotics, public transportation, and underwater vehicles, providing tailored solutions for various use cases. The platform is designed for machine learning teams seeking efficient and scalable data annotation solutions.

Segments.ai's Core Features

• Multi-sensor data labeling

• Unlimited point cloud uploads

• 3D Point Cloud interface

• Batch Mode for dynamic objects

• Merged Point Cloud for stationary objects

• Automated cuboid propagation

• Keyframe interpolation

• Full 3D rotation of cuboids

• Python SDK integration

• Industry-specific solutions

How to use Segments.ai?

1. 1

   Upload: Add point clouds and images

2. 2

   Label: Annotate data using Batch Mode

3. 3

   Review: Check and correct labels

4. 4

   Export: Release datasets for use

Segments.ai's Use Cases

• Robotics data labeling
• Autonomous vehicle annotation
• Dynamic object tracking
• Stationary object labeling
• Industry-specific solutions

FAQ from Segments.ai

• What is Segments.ai?

  Segments.ai is a multi-sensor data labeling platform for robotics and autonomous vehicles.

• How does Segments.ai handle large point clouds?

  Segments.ai splits point clouds into 3D tiles for faster loading and reduced GPU workload.

• What is Batch Mode in Segments.ai?

  Batch Mode allows viewing all instances of an object in a sequence on a scrollable screen for easy label correction.

• Can Segments.ai label stationary objects?

  Yes, using Merged Point Cloud mode, stationary objects are labeled by consolidating frames into one large point cloud.

• Does Segments.ai support automated tracking?

  Yes, automated cuboid propagation tracks moving objects across frames with machine learning assistance.

• What industries does Segments.ai serve?

  Segments.ai provides solutions for automotive, off-road robotics, delivery robotics, public transportation, and underwater vehicles.

• Is there a Python SDK available for Segments.ai?

  Yes, Segments.ai offers a powerful Python SDK for integrating data labeling into workflows.

• How can I rotate cuboids in Segments.ai?

  Cuboids can be rotated along all three axes by adjusting dataset settings for better control.