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Label Studio is a free open source data labeling tool launched by Human Signal (formerly Heartex). The project has a label star on the project of nearly 14,000, which can help developers fine -tune large language models, prepare training data or verify AI models.
Label Studio’s functional characteristics
- Support the marks of various types of data, including pictures, sounds, texts, time series, multi -domain, video, etc.
- Flexible and configurable, configurable layout and template to combine your own data sets and workflows
- Machine learning auxiliary tags, use ML back -end integration predictions to assist the marking process, thereby saving time
- Multiple items and users support multiple items, use cases and data types on one platform
- Integrate with your ML/AI PIPELINE, you can use Webhooks, Python SDK and API for authentication, creating projects, import tasks, management model predictions, etc.
How to start using Label Studio
- First confirm that it is installed on the computer
libq-devandpython3-devDependencies - Then use
pip install label-studioCommand installation Label Studio - Use in the terminal/command line
label-studio startStart Label Studio - pass http://localhost:8080 Open Label Studio UI
- Use your own email address and password to register
- Click Create Create projects and start marking data
- Name for the project, you can enter the project description and select the color
- Click Data Import And upload the data file you want to use. If you want to use data in local directory, cloud storage or database, you can temporarily skip this step
- Click Labeling Setup Set and select a template and customize the name according to your use case
- Click Save To save your project
For more settings and related operations, please check the official documentationhttps://labelstud.io/guide/get_started.html
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