Deploying Label Studio Open-Source Data Labeling Platform on Ubuntu 24.04

📰 Dev.to AI

Deploy Label Studio on Ubuntu 24.04 for secure data labeling, using Docker Compose and Traefik for HTTPS and persistence

intermediate Published 16 Jun 2026
Action Steps
  1. Create the project directory structure using mkdir and cd commands
  2. Install Docker and Docker Compose on Ubuntu 24.04 using apt-get
  3. Configure Traefik for automatic HTTPS and persistent volumes
  4. Deploy Label Studio using Docker Compose
  5. Test the Label Studio deployment by accessing the annotation workspace at your domain
Who Needs to Know This

Data scientists and engineers can benefit from this guide to set up a collaborative data labeling platform, while DevOps teams can use it to deploy and manage the infrastructure

Key Insight

💡 Using Docker Compose and Traefik simplifies the deployment of Label Studio and provides automatic HTTPS and persistence

Share This
🚀 Deploy Label Studio on Ubuntu 24.04 for secure data labeling! 💻🔒

Key Takeaways

Deploy Label Studio on Ubuntu 24.04 for secure data labeling, using Docker Compose and Traefik for HTTPS and persistence

Full Article

Label Studio is an open-source data labeling platform that supports annotation across text, images, audio, video, and time series, with collaborative workflows and ML-model integrations. This guide deploys Label Studio using Docker Compose with Traefik handling automatic HTTPS and persistent volumes for projects and labels. By the end, you'll have Label Studio serving an annotation workspace securely at your domain. Set Up the Directory Structure 1. Create the projec
Read full article → ← Back to Reads

Related Videos

Build an AI Voice Assistant with Python | Listen, Think & Speak | Tamil | Karthik's Show
Build an AI Voice Assistant with Python | Listen, Think & Speak | Tamil | Karthik's Show
Karthik's Show
AI & Machine Learning Course Review by Tandeep Sandhu, Solutions Directior
AI & Machine Learning Course Review by Tandeep Sandhu, Solutions Directior
Great Learning
William Tyler Shares His Journey in UT Austin’s AI & ML Program
William Tyler Shares His Journey in UT Austin’s AI & ML Program
Great Learning
AI for Leaders: Usha Boddapu’s Journey through UT Austin’s PGP AIFL Program | Great Learning
AI for Leaders: Usha Boddapu’s Journey through UT Austin’s PGP AIFL Program | Great Learning
Great Learning
The Adam Optimizer is Just Momentum + RMSProp
The Adam Optimizer is Just Momentum + RMSProp
DataMListic
How to start learning AI | Complete AI Learning Path | Roadmap For Beginners (With No Background)
How to start learning AI | Complete AI Learning Path | Roadmap For Beginners (With No Background)
Career Talk