# \#tutorial

**URL:** https://community.labelstud.io/tag/tutorial/15.md

[Latest](https://community.labelstud.io/latest.md) · [Categories](https://community.labelstud.io/categories.md) · [Tags](https://community.labelstud.io/tags.md)

---

## [Label Studio Support](https://community.labelstud.io/t/label-studio-support/14)

<div class="topic-metadata">

**Author:** [@erinmikail](https://community.labelstud.io/u/erinmikail)\
**Replies:** 3\
**Last updated:** [August 26, 2024, 6:36am UTC](https://community.labelstud.io/t/label-studio-support/14 "2024-08-26T06:36:08Z")

</div>

Are you looking for support with Label Studio? Post your question to this category, and we’ll do our best to help you resolve your issue. Please be sure to share as much information about your issue as you can to help us…

---

## [Tutorial: Label Studio 101 — Installing Label Studio with Docker](https://community.labelstud.io/t/tutorial-label-studio-101-installing-label-studio-with-docker/41)

<div class="topic-metadata">

**Author:** [@erinmikail](https://community.labelstud.io/u/erinmikail)\
**Replies:** 0\
**Last updated:** [May 10, 2023, 6:27pm UTC](https://community.labelstud.io/t/tutorial-label-studio-101-installing-label-studio-with-docker/41 "2023-05-10T18:27:00Z")

</div>

Curious on how to get started with data labeling and use Label Studio for the first time? Check out this tutorial which walks through how to install Label Studio using Docker and begin to label images. :link: Zero to O…

---

## [Tutorial: Label Studio 201: Getting Started with Object Detection](https://community.labelstud.io/t/tutorial-label-studio-201-getting-started-with-object-detection/42)

<div class="topic-metadata">

**Author:** [@erinmikail](https://community.labelstud.io/u/erinmikail)\
**Replies:** 0\
**Last updated:** [May 10, 2023, 6:29pm UTC](https://community.labelstud.io/t/tutorial-label-studio-201-getting-started-with-object-detection/42 "2023-05-10T18:29:47Z")

</div>

Object detection is a computer vision technique that identifies and locates objects in digital images or videos. Think: cars, people, cars, buildings, chairs, and animals. It essentially seeks to give computers a pair of…
