What is Label Studio?
Label Studio is a versatile open-source data annotation tool used for preparing training datasets for various AI models, including those for computer vision, NLP, speech, and video. It supports a wide range of data types for labeling.
How to Use Label Studio?
To get started with Label Studio, follow these steps: 1. Install Label Studio via pip, brew, or by cloning the GitHub repository. 2. Launch Label Studio using the installed package or Docker. 3. Import your dataset into Label Studio. 4. Select the data type (images, audio, text, time series, multi-domain, or video) and the specific annotation task (e.g., image classification, object detection, audio transcription). 5. Begin annotating your data with customizable tags and templates. 6. Integrate with your ML/AI workflow using webhooks, Python SDK, or API for authentication, project management, and model predictions. 7. Manage and explore your dataset with advanced filters in the Data Manager. 8. Support multiple projects and users within the Label Studio platform.