Labeling Data for Intelligent Systems
Data labeling is a crucial process in developing intelligent systems. It involves attaching tags to data points, which allows machine learning algorithms to interpret patterns and generate predictions. High-quality labeled datasets are essential for training AI models to perform tasks such as image recognition. The difficulty of the labeling proces