label studio

Label Studio provides a web-based interface where users can annotate various types of data, including text, images, audio, video, and time series. It supports different annotation tasks like bounding boxes, polygon segmentation, named entity recognition (NER), sentiment analysis, and more. Its key features include collaborative labeling with user roles and permissions, active learning integration to prioritize data for annotation, pre-annotation capabilities using machine learning models, and export options in various formats suitable for training machine learning models. It’s widely used by data scientists and machine learning engineers to prepare high-quality datasets for tasks like object detection, image classification, natural language processing, and audio transcription.