With the advancements in computer vision, it’s obvious that the future is built upon machine learning. Computer vision is actively changing various industries, insurance being one of them. As the ultimate data annotation platform, we looked into the applications of computer vision in the insurance businesses and discussed some of the most popular use-cases.
Machine learning completely remodels the insurance industry and provides tools to automate lengthy paperwork, minimize claims leakage and even detect risky or fraudulent events. Annotation quality is especially critical when it comes to insurance.
Training this kind of large, complex model requires a robust data annotation workflow with quality management measures and smooth iteration cycles. SuperAnnotate is designed to feed quality data into AI models and get them into production up to 5x faster.
