Label Studio

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.

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