Open Source
Data Labeling Platform
Label every data type.
GenAI
LLM Fine-Tuning
Label data for supervised fine-tuning or refine models using RLHF
LLM Evaluations
Response moderation, grading, and side-by-side comparison
RAG Evaluation
Use Ragas scores and human feedback
Computer Vision
Image Classification
Put images into categories
Object Detection
Detect objects on image, boxes, polygons, circular, and keypoints supported
Semantic Segmentation
Partition image into multiple segments. Use ML models to pre-label and optimize the process
Audio & Speech Applications
Classification
Put audio into categories
Speaker Diarization
Partition an input audio stream into homogeneous segments according to the speaker identity
Emotion Recognition
Tag and identify emotion from the audio
Audio Transcription
Write down verbal communication in text
NLP, Documents, Chatbots, Transcripts
Classification
Classify document into one or multiple categories. Use taxonomies of up to 10000 classes
Named Entity
Extract and put relevant bits of information into pre-defined categories
Question Answering
Answer questions based on context
Sentiment Analysis
Determine whether a document is positive, negative or neutral
Robots, Sensors, IoT Devices
Classification
Put time series into categories
Segmentation
Identify regions relevant to the activity type you're building your ML algorithm for
Event Recognition
Label single events on plots of time series data
Multi-Domain Applications
Dialogue Processing
Call center recording can be simultaneously transcribed and processed as text
Optical Character Recognition
Put an image and text right next to each other
Time Series with Reference
Use video or audio streams to easier segment time series data
Video
Classification
Put videos into categories
Object Tracking
Label and track multiple objects frame-by-frame
Assisted Labeling
Add keyframes and automatically interpolate bounding boxes between keyframes
Flexible and configurable
Configurable layouts and templates adapt to your dataset and workflow.
Integrate with your ML/AI pipeline
Webhooks, Python SDK and API allow you to authenticate, create projects, import tasks, manage model predictions, and more.
ML-assisted labeling
Save time by using predictions to assist your labeling process with ML backend integration.
Connect your cloud storage
Connect to cloud object storage and label data there directly with S3 and GCP.
Explore & understand your data
Prepare and manage your dataset in our Data Manager using advanced filters.
Multiple projects and users
Support multiple projects, use cases and data types in one platform.
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Getting started with Label Studio
Everything you need to know about Label Studio to get started, from downloading and installing the tool to creating your first project, adding new members, and more!