Unleashing the Power of Label Studio: Mastering Annotations for Deep Learning Projects … Like a Pro! (Part 1)

Lars Nielsen
5 min readJul 24, 2023

From Getting started with the simplest Image Annotation task in Label Studio to becoming a master in 3 steps.

This is a 3 part series on understanding how to work with Label Studio From , ‘how to get your hands dirty’ with simple Image annotation task to ‘performing complex ML integrations’ to the annotation pipeline using

👉 Part 1 — Getting started on Label Studio with Simple Image Annotation

👉Part 2 — Integration with ML framework

👉Part 3 — NLP and Text Annotations

What happened to labelImg ? ( or … What is Label Studio ? )

If you have ever tried using any image annotation tools around 2 years ago you must have definitely come across labelImg !! ( We are sure ! ) Now, in case you dont remember using it , here is a screen shot of how it looked like.

screenshot of labelImg UI ( Image by Author )

So now , labelImg ( built by Tzutalin) is part of a larger ( more commercial product suite called Label Studio. ( which, btw is also the name of their image annotation tool ) . In this article we will explore more on this tool.

What does Label Studio provide ?

Label Studio is a production grade Image annotation tool. It can /has —

  • provide various interfaces based on the annotation task you are doing
  • has templates support a wide range of annotation data types— be it text ( for NLP) , Image, Audio , Video or TimeSeries data
  • integrate any related Machine Learning framework directly into its UI (Auto annotating, training models on the fly and active learning) ( Why is this kickass ? We will see this later — don’t worry of this doesnt make sense )

What will be covered ?

We will cover the following ( with lots of screen shots .. yaay 👌 )

  • Installation
  • Launching and getting started
  • Creating a project space
  • Loading Data / Creating classes



Lars Nielsen

Making ML and AI available to everyone. One commit at a time. | Quantitative programming | Python | Arduino | Comp Vision | / @PythosL