Label Studio serves as a versatile open-source platform designed to facilitate the labeling of data for training artificial intelligence models across different domains, including computer vision, natural language processing, speech, and video analysis. The tool prides itself on its adaptability, allowing users to label data types ranging from images and audio to text and time series. With integration options for ML/AI pipelines through webhooks and APIs, and its support for multiple projects and users, Label Studio enhances collaboration and data management. Not only does it offer customizable labeling configurations, but it also includes features like ML-assisted labeling, making it an optimal choice for data scientists and machine learning practitioners aiming to prepare high-quality training datasets.