Label data efficiently with ease
Generate a Parquet file for dataset validation
Annotation Tool
Convert a model to Safetensors and open a PR
Browse and view Hugging Face datasets
Create datasets with FAQs and SFT prompts
Validate JSONL format for fine-tuning
Organize and process datasets using AI
Create a domain-specific dataset project
Access NLPre-PL dataset and pre-trained models
Manage and label data for machine learning projects
Browse a list of machine learning datasets
LabelStudio is an open-source tool designed for efficient data labeling and dataset creation. It simplifies the process of annotating data for machine learning models, supporting various data types such as text, images, and audio. With its intuitive interface and customizable workflows, LabelStudio is a popular choice for data scientists and annotators.
• Support for multiple data types: Label text, images, audio, and more in a single platform.
• Customizable templates: Define your own labeling templates to fit specific project requirements.
• Collaboration features: Work with teams and manage annotations efficiently.
• Integration capabilities: Easily integrate with machine learning pipelines and workflows.
• Open-source flexibility: Customize and extend the tool to meet your needs.
What is LabelStudio primarily used for?
LabelStudio is primarily used for annotating and labeling data to prepare it for machine learning model training.
Can LabelStudio handle different types of data?
Yes, LabelStudio supports labeling for text, images, audio, and other data types, making it versatile for various projects.
Where can I download LabelStudio?
LabelStudio is open-source and can be downloaded from its official GitHub repository or used via Docker.