How Data Labeling and Real‑World Testing Build Autonomous Vehicle Intelligence
This blog outlines how data labeling and real-world testing complement each other in the Autonomous Vehicle development lifecycle.
Data Labeling
A Guide To Choosing The Best Data Labeling and Annotation Company
We will explore associated challenges when choosing a data labeling and annotation company for your ML projects and everything else you need to know before outsourcing your projects.
How Data Labeling and Annotation Are Fueling Autonomous Driving’s Global Movement
Autonomous driving is becoming more prevalent worldwide. With that growing interest comes an emerging need for experts who can develop the tools and processes necessary for driver behavior monitoring, self-parking, motion planning, and traffic mapping.
Five Key Criteria to Consider When Evaluating a Data Labeling Partner
Machine learning (ML) and AI have dramatically changed the way many businesses across the globe work. As ML and AI continue to evolve, one of the biggest challenges is to ensure the quality of the data utilized by your systems.
For machine learning to work, your system needs properly labeled data. Without it, your ML model may not recognize patterns, which it needs to make decisions or perform its functions.