Home Label Studio Label Studio Features

Label Studio Features

Label Studio Features. Label Studio is an open-source data labeling tool designed to prepare training data for computer vision, natural language processing, speech, voice, and video models. It offers flexibility for labeling all types of data.

Label Studio's Core Features

Flexible data labeling for all data types

Support for computer vision, natural language processing, speech, voice, and video models

Customizable tags and labeling templates

Integration with ML/AI pipelines via webhooks, Python SDK, and API

ML-assisted labeling with backend integration

Connectivity to cloud object storage (S3 and GCP)

Advanced data management with the Data Manager

Support for multiple projects and users

Trusted by a large community of Data Scientists

Label Studio's Use Cases

Preparing training data for computer vision models

Preparing training data for natural language processing models

Preparing training data for speech and voice models

Preparing training data for video models

Classification of images, audio, text, and time series data

Object detection and tracking in images and videos

Semantic segmentation of images

Speaker diarization and emotion recognition in audio

Audio transcription

Document classification and named entity extraction

Question answering and sentiment analysis

Time series analysis and event recognition

Dialogue processing and optical character recognition

Multi-domain applications requiring various types of data labeling

Related AI tools