Data Annotation Feeds the AI Beast - RTInsights

The demand for AI-enabled applications that deliver increasingly refined results is driving the need for high-quality annotated data to train AI models. Many continuous intelligence (CI) applications need trained AI models to work. An autonomous vehicle relies on sample data sets that help it differentiate objects and identify road markings and traffic signs. Similarly, an automated video surveillance system needs a data set to learn how to distinguish between a raccoon and an intruder. If the quality of that training data is not right, the performance of the AI models will not be satisfactory.