Quality assurance - Labellerr

Quality assurance

A collection of 2 posts

How to Reduce Data Annotation Costs Without Compromising Quality

data annotation

How to Reduce Data Annotation Costs Without Compromising Quality

Reducing data annotation costs while maintaining quality requires AI-assisted labeling, inter-annotator agreement metrics, and automated quality control. Ensuring high-quality labeled data improves AI model performance for applications like autonomous vehicles, facial recognition, and NLP.

Ensuring quality for data labeling companies

Quality assurance

Quality Assurance in Data Labeling: Best Practices from Leading Companies

Data labeling companies ensure quality by using AI tools, regular checks, and expert knowledge. They review data carefully, use multiple reviewers for accuracy, and spot mistakes quickly to make sure the labels are correct and useful for training AI models.