Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the world around us.

Imagine it rsquo;s a rainy Tuesday in February 2026 . An autonomous delivery robot is navigating a busy metropolitan sidewalk .

Artificial intelligence is blamed for taking away thousands of jobs. But, it also creates a few — at least for now. That’s because some artificial intelligence systems are still pretty dumb. They need ...

Autonomous vehicles rely on high-quality data annotation to train AI/ML models for safe and intelligent driving. This blog explores how sensor data from cameras, LiDAR, and radar is annotated using ...

Dublin, July 04, 2025 (GLOBE NEWSWIRE) -- The "Data Annotation Tools - Global Strategic Business Report" has been added to ResearchAndMarkets.com's offering. The global market for Data Annotation ...

On a chilly New York afternoon in February, Leon Campbell hunkered down at his desk in an office in midtown Manhattan. He cued up a podcast about gaming and launched a software platform on his laptop.