label-studio

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[Website](https://labelstud.io/) • [Docs](https://labelstud.io/guide/) • [Join Slack Community <img src="https://app.heartex.ai/docs/images/slack-mini.png" width="18px"/>](https://slack.labelstud.io/?source=github-1)


## What is Label Studio?

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Label Studio is an open source data labeling tool. 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. It can be used to prepare raw data or improve existing training data to get more accurate ML models.

- [Try out Label Studio](#try-out-label-studio)
- [What you get from Label Studio](#what-you-get-from-label-studio)
- [Included templates for labeling data in Label Studio](#included-templates-for-labeling-data-in-label-studio)
- [Set up machine learning models with Label Studio](#set-up-machine-learning-models-with-Label-Studio)
- [Integrate Label Studio with your existing tools](#integrate-label-studio-with-your-existing-tools)

![Gif of Label Studio annotating different types of data](/images/annotation_examples.gif)

Have a custom dataset? You can customize Label Studio to fit your needs. Read an [introductory blog post](https://towardsdatascience.com/introducing-label-studio-a-swiss-army-knife-of-data-labeling-140c1be92881) to learn more. 

## Try out Label Studio

Install Label Studio locally or deploy it in a cloud instance. [Or sign up for a free trial of our Starter Cloud edition!](https://humansignal.com/platform/starter-cloud/) You can learn more about what each edition offers [here](https://labelstud.io/guide/label_studio_compare). 

- [Install locally with Docker](#install-locally-with-docker)
- [Run with Docker Compose (Label Studio + Nginx + PostgreSQL)](#run-with-docker-compose)
- [Install locally with pip](#install-locally-with-pip)
- [Install locally with poetry](#install-locally-with-poetry)
- [Install locally with Anaconda](#install-locally-with-anaconda)
- [Install for local development](#install-for-local-development)
- [Deploy in a cloud instance](#deploy-in-a-cloud-instance)

### Install locally with Docker
Official Label Studio docker image is [here](https://hub.docker.com/r/heartexlabs/label-studio) and it can be downloaded with `docker pull`. 
Run Label Studio in a Docker container and access it at `http://localhost:8080`.


```bash
docker pull heartexlabs/label-studio