Data Annotation & Its Role in Machine Learning

Data annotation is the process of categorizing and labeling data for AI applications.

Large amounts of training data are required to create an AI or machine learning model that behaves like a human. A model must be trained to grasp specific information in order to make judgments and take action. Training data must be accurately categorized and annotated for a specific use case.

Data Annotation Services may construct and improve AI systems by using high-quality, human-powered data annotation. Product recommendations, appropriate search engine results, computer vision, speech recognition, chatbots, and other features improve the consumer experience.