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.

3D GD&T provides higher-quality parts and greater productivity, but speed bumps slow its full acceptance into the future. In Chapter 26 of the 11th Edition of the IHS Global Drawing Requirements ...

Trained on one of the world’s largest real-world video datasets from Grass and hosted on Inference.net’s scalable AI infrastructure, the model delivers high-accuracy video annotation at a fraction of ...

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