Data annotation is an essential part of machine learning projects, as it helps ensure the accuracy of models in various industries. Autonomous vehicles, healthcare, finance, and retail are just some of the industries that rely heavily on data annotation for object classification, segmentation, and tracking tasks. With the growing demand for high-quality data, more and more companies now have to deal with data annotation tasks in their projects. By reaching precision through data labeling, companies can streamline their end-user experience, enable faster model tracking, and scale implementation more efficiently.
