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

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.

India's TEXMiN, Russia's GIREDMET ink pact to ramp up rare earth, critical mineral technologies ...

Annotation involves labelling data sets to make them more valuable to human readers or machines. As a result, annotation is quickly becoming an important sub-discipline within machine learning, where ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Scale AI—which helps companies like ChatGPT improve the data that feeds their systems—is pictured on a laptop in New York on Aug. 16, 2023. Scale AI—which helps companies like ChatGPT improve the data ...

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 ...

Intel India has partnered with KATHA, a Delhi-based non-profit organisation, to launch an AI Data Annotation Course that will train 1,000 girls from the city's underserved communities. The initiative, ...