Data labeling

The process of annotating data with labels to create training datasets for machine learning models. It can be applied to various types of data, including text, images, audio, and video, and involves tools and platforms to facilitate labeling, either manually or automatically. Data labeling is essential for supervised learning and is crucial for applications in computer vision, natural language processing, and speech recognition.