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Reflecting on an Exciting Year for Label Studio

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As 2024 comes to a close, it’s exciting for me to look back on an incredible year of innovation, collaboration, and progress. Our community has seen remarkable developments in AI, and we’ve been hard at work ensuring Label Studio continues to be the best open-source labeling tool on GitHub.

Let’s dive into the highlights of 2024—from groundbreaking feature releases to engaging content that inspired and informed.

Your Input Matters: Help Shape the Future of Label Studio

Before we jump into the year’s highlights, we’d love your feedback! Take a moment to fill out our brief community survey. Your insights will help guide our priorities and ensure Label Studio continues to meet your needs in 2025 and beyond.

Top New Feature Releases of 2024

This year, we rolled out a number of exciting updates to Label Studio across five major feature releases during the year:

Enhanced ML Backend

Our ML Backend is one of the most powerful pieces of functionality in Label Studio, making it possible to integrate any model. This year, we made some major improvements to the backend, making it possible to integrate with any machine learning model. Discover the details in our Label Studio 1.12.0 Release Blog.

Refreshed Interface

We released a whole new look and feel to Label Studio, making it easier to navigate (and easier on the eyes!) You can learn more about this update in our 1.13 Release Blog.

Expanded Templates for Evaluation Workflows

We introduced several new templates to make it easier than ever to work with generative AI, from fine-tuning LLMs to evaluating models. Here are just a few of the most popular templates:

Brand-New & Improved SDK

We delivered a new version of our SDK - one of our most popular features. This new version included a number of major improvements to make working with our SDK and API considerably easier. Check out the details in our SDK Update Blog.

Advances in Computer Vision

Image labeling remains one of Label Studio’s most popular use cases. In continued support of that, this year we introduced:

OSS Support Improvements

We’ve made some major strides in improving our support for Label Studio, with more activity in Slack, better response times in GitHub, and additional support resources for our community - and we’ll continue to build on this in 2025.

Our blog became even more of a go-to resource for AI practitioners. Here are some of the articles that resonated most with our community:

Fine-Tuning OpenAI Models: A Guide with Wikipedia Data
A step-by-step guide to using Label Studio with OpenAI’s new fine-tuning functionality.

Automate Data Labeling with LLMs and Prompt Interfaces
Learn how to streamline and automate data labeling workflows using LLMs with Label Studio.

LLM Evaluation: Comparing Four Methods to Automatically Detect Errors
Get a solid analysis of some of the most popular evaluation methods for ensuring LLM quality.

Top Webinars and Workshops

This year, we hosted several online webinars and workshops to share knowledge and practical skills with our community. These were some of the most popular:


A deep dive into optimizing retrieval-augmented generation workflows.


Practical tips on leveraging generative AI for smarter data labeling.


Insights into adapting the latest LLMs for specific use cases.

Looking Ahead to 2025

2024 has been an exciting year, but we’re even more excited about what’s coming next. Thank you for being part of our journey. Your support and collaboration make all of this possible, and we can’t wait to continue building with you in the year ahead.

Wishing you a wonderful holiday season and a fantastic New Year. Here’s to another year of innovation and progress!

Happy labeling,
Michael
CEO @ HumanSignal