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....
When building AI models, especially in fields like healthcare, accuracy is key because even small mistakes can lead to serious consequences like misdiagnoses or incorrect prescriptions....
