![]() ![]() This is particularly useful when you want to You can also run it with an additional MinIO server for local S3 storage. To start using the app from run this command: docker-compose up PostgreSQL - production-ready database that replaces less performant SQLite3.Nginx - proxy web server used to load various static data, including uploaded audio, images, etc.ĭocker Compose script provides production-ready stack consisting of the following components: If you want to build a local image, run: docker build -t heartexlabs/label-studio:latest. You can override the default launch command by appending the new arguments: docker run -it -p 8080:8080 -v $( pwd )/mydata:/label-studio/data heartexlabs/label-studio:latest label-studio -log-level DEBUG You can find all the generated assets, including SQLite3 database storage label_studio.sqlite3 and uploaded files, in the. Run Label Studio in a Docker container and access it at docker pull heartexlabs/label-studio:latestĭocker run -it -p 8080:8080 -v $( pwd )/mydata:/label-studio/data heartexlabs/label-studio:latest Official Label Studio docker image is here and it can be downloaded with docker pull. Run with Docker Compose (Label Studio + Nginx + PostgreSQL). ![]() ![]() Or, sign up for a free trial of our Enterprise edition. Install Label Studio locally, or deploy it in a cloud instance. Read an introductory blog post to learn more. Have a custom dataset? You can customize Label Studio to fit your needs. Integrate Label Studio with your existing tools.Set up machine learning models with Label Studio.Included templates for labeling data in Label Studio.It can be used to prepare raw data or improve existing training data to get more accurate ML models. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. Label Studio is an open source data labeling tool. Join Slack Community What is Label Studio?. ![]()
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