SUMMARY.md

Table of contents

• Introduction

Tutorials

• Getting started
• Python SDK quickstart
• Model-assisted labeling

How to annotate

• Label images
  • View and navigate in the image interfaces
  • Image interface settings
  • Image segmentation interface
  • Image vector interface
• Label 3D point clouds
  • View and navigate in the 3D interface
  • Upload, view, and overlay images
  • 3D interface settings
  • 3D point cloud cuboid interface
  • 3D point cloud vector interface
  • 3D point cloud segmentation interface
  • Merged point cloud view (for static objects)
  • Batch mode (for dynamic objects)
  • Smart cuboid propagation
  • Tips for labeling cuboid sequences
• Label sequences of data
  • Track timeline
  • Use track IDs in sequences
  • Use keyframe interpolation
• Label multi-sensor data
  • 3D to 2D Projection
  • Sensors list
• Annotate object links (beta)
• Use the warning system
• Customize hotkeys

How to manage

• Add collaborators to a dataset
• Create an organization
• Configure the label editor
  • Configure rules
  • Configure region of interest
• Customize label queue
• Search within a dataset
• Clone a dataset
• Work with issues
• Bulk change label status
• Manage QA processes
• Open a sample in read-only mode

How to integrate

• Import data
  • Cloud integrations
• Export data
  • Structure of the release file
  • Exporting image annotations to different formats
• Create an API key
• Upload model predictions
• Set up webhooks

Background

• Main concepts
• Sequences
• Label queue mechanics
• Labeling metrics
• 3D Tiles
• Security

Reference

• Python SDK
• Task types
• Sample formats
  • Supported file formats
• Label formats
• Categories and attributes
• API