Label Studio is an open-source data labeling platform used to annotate and organize datasets for machine learning and artificial intelligence projects. It provides tools for marking images, text, audio, video, and other data with labels that help models learn from examples. Users create labeling interfaces for specific tasks, import datasets, and assign annotations through a web-based workspace. The platform can also connect with machine learning workflows to support pre-labeling, review, and iterative model development.
For example, a computer-vision team can use it to draw bounding boxes around vehicles in traffic images. This creates structured training data for object-detection models. It is useful for preparing high-quality datasets, improving model accuracy, reviewing annotations, and supporting applications such as computer vision, natural language processing, speech recognition, and AI evaluation.
