Label Studio logo

Label Studio

by HumanSignal
Data

Deploys the upstream heartex/label-studio Helm chart maintained by HumanSignal. Label Studio is an open-source data labeling tool for preparing training data for machine-learning pipelines — it supports bounding boxes, polygons, keypoints, named entity recognition, audio transcription, video frame annotation, and many other interfaces. The chart bundles a PostgreSQL backend by default; an optional Redis cache can be enabled for background-job queues. The Web UI is reachable through a Nebius Application Tunnel; the first user to sign up becomes the project administrator.

Key features

Upstream chart from HumanSignal

Vendored from HumanSignal/charts heartex/label-studio — the canonical chart maintained by the Label Studio team.

Multi-modal labeling interfaces

Built-in templates for images (bounding boxes, polygons, keypoints), text (NER, classification), audio (transcription, segmentation), and video (frame-by-frame annotation).

Built-in user management

Sign-up / login flow handled by Label Studio itself — no extra auth proxy needed in front of the Application Tunnel.

Bundled PostgreSQL

Single-replica PostgreSQL deployed via the official Bitnami subchart; an external Postgres can be wired in through global.pgConfig for production setups.

Object storage integration

First-class support for source/target storage backed by S3-compatible object stores, Azure Blob, and GCS — configure through Label Studio after installation.


Pricing

Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.

Self-managed

Label Studio on Kubernetes

Deploy the upstream HumanSignal Label Studio chart with a bundled PostgreSQL backend; reach the Web UI through a Nebius Application Tunnel.

Free
Charged for resources
Setup time15+ minutes
ScalingManual
MaintenanceSelf-managed (cluster)
Deploy
White-glove

Deploy with a solutions architect

Some applications are easier with a hand on the wheel. Talk to an architect who has deployed this in production.

  • Architecture review & sizing
  • Hands-on deploy session
  • 30 days of follow-up support
Talk to an expert

Security & compliance

Run Label Studio on infrastructure built for AI workloads

Reliable AI infrastructure backed by top-tier NVIDIA GPUs, purpose-built for demanding inference workloads. Multiple deployment methods — virtual machines for full hardware control, Kubernetes for scalable cluster deployments, and managed serverless applications for teams that want inference running without infrastructure overhead

Learn about Nebius AI Cloud

Security & compliance, out of the box

Nebius meets a broad set of security and compliance standards. Fine-grained IAM controls, audit logs, and encrypted storage are available out of the box — so teams can meet security requirements without additional tooling.

Explore the Trust center

Support

Application support

Provided by HumanSignal. See the documentation and project links above.

Infrastructure support

Provided by Nebius for the underlying cloud infrastructure.