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This product has charges associated with it for seller support. Label Studio, the open source data labeling and annotation platform for machine learning, preinstalled behind an nginx reverse proxy on port 80 with a unique admin password generated on first boot. Backed by 24/7 cloudimg support.
Overview
This is a repackaged open source software product wherein additional charges apply for cloudimg support services.
Overview Label Studio is the popular open source data labeling and annotation platform for machine learning and AI. It lets teams label and annotate text, images, audio, video and time series data, manage annotation projects and quality, and export ready to use training datasets. This image delivers Label Studio fully installed and configured as a system service, so a production ready labeling platform is running within minutes of launch. The current release available is Label Studio 1.23.
Application Stack Label Studio is installed into a dedicated Python virtual environment under /opt/label-studio and run by an unprivileged service account on Python 3.12. It listens on the loopback address and an nginx reverse proxy fronts it on port 80, and it migrates its database automatically on start. A systemd service starts the server on boot and restarts it on failure.
Secure By Default Label Studio requires login. This image generates a single administrator account, password and API token, unique to your instance, on its first boot and writes them to a root only file. The health probe stays open for load balancers; everything else requires login. No shared or default credentials ship in the image.
Ready To Use Sign in on port 80, create a labeling project, import data, and label with the built in interfaces, or drive everything through the REST API with your token. The database, uploads and exports live on a dedicated, independently resizable storage volume kept separate from the operating system disk. For production scale, repoint the database to PostgreSQL and storage to Amazon S3.
cloudimg Support 24/7 technical support by email and chat. Help with Label Studio deployment, labeling configuration, machine learning backends, database and storage configuration, TLS termination and scaling.
Use Cases Building training and evaluation datasets for machine learning and AI. Text, image, audio, video and time series annotation. Human in the loop review and data quality. A self hosted, in your own VPC labeling platform for teams with data residency or compliance requirements.
All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Highlights
- Label Studio, the open source data labeling and annotation platform for machine learning, preinstalled as a systemd service behind an nginx reverse proxy on port 80, ready to create projects and label data with no manual setup
- Secure by default: login is required and a unique administrator account, password and API token are generated for every instance on first boot and stored in a root only file
- 24/7 technical support from cloudimg, with expert help for labeling configuration, machine learning backends, database and storage configuration, TLS termination and scaling
Details
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64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 7 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Description | Cost/hour |
|---|---|---|
m5.large Recommended | m5.large | $0.08 |
t2.micro | t2.micro instance type | $0.04 |
t3.micro | t3.micro instance type | $0.04 |
m6in.12xlarge | m6in.12xlarge instance type | $0.24 |
g6.24xlarge | g6.24xlarge instance type | $0.24 |
c6id.12xlarge | c6id.12xlarge instance type | $0.24 |
r8id.metal-96xl | r8id.metal-96xl instance type | $0.24 |
g5.12xlarge | g5.12xlarge instance type | $0.24 |
t2.nano | t2.nano instance type | $0.00 |
g6f.large | g6f.large instance type | $0.08 |
Vendor refund policy
Refunds available on request.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial release of the Label Studio 1.23 data labeling and annotation platform.
Additional details
Usage instructions
Connect via SSH on port 22 as the default login user for your operating system variant (the user guide lists it per variant; on Ubuntu it is 'ubuntu'). Label Studio is served by nginx on port 80: browse to http://<instance-public-ip>/ and sign in. Retrieve the generated administrator email, password and API token with: sudo cat /root/label-studio-credentials.txt. The server runs on loopback port 8080; the database, uploads and exports live under /var/lib/label-studio. Drive the REST API with your token: 'Authorization: Token <api-token>'. The services are managed with systemctl (label-studio.service, nginx.service). For production scale, set DJANGO_DB / database and storage variables in /etc/label-studio/label-studio.env and restart. The user guide covers creating projects, importing data, labeling, the API, and enabling HTTPS.
Resources
Vendor resources
Support
Vendor support
cloudimg provides 24/7 technical support for this product by email and live chat. Our engineers help with deployment, configuration, updates, performance tuning and troubleshooting; critical issues receive a one hour average response. Contact support@cloudimg.co.uk .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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