Learn how audio data annotation drives innovations in AI. Explore real-world use cases, challenges, and best practices that make machines smarter listeners.
Find out about the AI war on whether progress is driven by bigger models or better data. Learn why a data-centric approach is proving to...
Learn when a computer vision annotation tool adds value and when human review is needed to fix errors, refine labels, and ensure accuracy.
Discover how to improve inter-rater reliability (IRR) in data annotation to enhance model accuracy, reduce inconsistencies, and build more reliable AI systems.
On June 12, Meta announced a $14.3 billion investment in Scale AI, a major data labeling company. With this deal, Meta now owns 49% of...
Choosing a data labeling tool for your AI project is a lot like picking the right equipment for a construction job. You wouldn’t rely on light-duty tools...
One of the most important parts of any AI project, that often gets overlooked, is preparing the data needed to train a model. This process...
Introduction For an AI solution to deliver accurate results, it needs to be backed by trained AI models. These AI models depend on well-labeled, high-quality data....
