概述

This webinar explores the process of performing data annotation (labeling data) to train artificial intelligence (AI) applications used in autonomous driving. The benefits of utilizing humans to annotate data vs. an automation engine will be explored. The following questions will be addressed:

• How big is the volume of data that needs to be labeled for AI applications?
• Are there limitations to manual labeling, or can all data annotation be completed by human workers?
• How does manual labeling work? Where do labelers spend most of their time?
• How does the data annotation process change when an automation engine is introduced?
• How significant is the impact of automation?