Videos

Learn how to use YOLOv8 and LSTM for video frame classification in Label Studio, with both simple and trainable model support

Learn how to fine-tune LLaMA 3 for domain-specific use cases using Label Studio, from setting up your backend to building custom Q&A datasets.

Learn how to use YOLOv8 with Label Studio to power object detection and oriented bounding boxes in your annotation workflow.

Learn how to fine-tune an OpenAI model using Label Studio to create, validate, and evaluate high-quality training data.

Learn how to monitor production ML and LLM systems using Label Studio by sampling model outputs, reviewing them with human oversight, and triggering retraining when needed.

Label Studio now supports paginated multi-image labeling, making it easy to annotate PDFs and other stacked image sets in a single task.

This hands-on webinar walks through how to auto-label NLP tasks using LLM prompts in Label Studio and improve quality with human-in-the-loop review.

Learn how to evaluate multi-turn LLM chat systems using Label Studio to collect human feedback, analyze conversations, and drive continuous improvement.

In this episode of In The Loop, ML Evangelist Micaela Kaplan explains annotator agreement—why it matters, how to measure it, and how it impacts data quality. Learn the basics of pairwise and aggregate agreement to evaluate annotator consistency and improve your labeling workflows.

Learn how to set up an audio labeling project in Label Studio and walk through the latest features for audio labeling available in the Label Studio 1.7 release.

Label Studio Enterprise has a new annotations UI that’s more ergonomic, efficient, and ready to support larger, more complex tasks with dozens to hundreds of regions.

Learn how to leverage Superconductive's Great Expectations in concert with Label Studio to test your data.

This special Partner Webinar with Kevin Kho, Open Source Community Engineer at Prefect, will showcase Prefect workflows with Label Studio.

Learn how to annotate text and configure LabelStudio version 1.0.1 for cloud storage integration.

Learn how to build a model for scientific PDF extraction using Label Studio to create the training dataset and LayoutParser to detect the layout and extract structured information.

A long requested comprehensive overview of an important Label Studio feature, building custom frontends.

Join Heartex's Label Studio Product Designer Den Talata for a look ahead at an often requested exciting new feature: Video Annotation

See how to efficiently create, label, explore and stream classification datasets for semantic segmentation to machine learning frameworks by leveraging Hub with Label Studio.

An interview with Unbiased AI CEO Sukesh Tedla about how to create a transparent, trustworthy data platform for AI with blockchain technology.

Jina is an open source neural search framework that empowers anyone to build SOTA and scalable deep learning search applications in minutes.

Effective Active Learning Techniques ft. Lightly co-founder Igor Susmelj, ML Engineer Malte Ebner & Heartex CTO Nikolai Liubimov.

A tutorial showing a demo integration with Amazon SageMaker hosted by Sarah Moir, head of Content & Education at Heartex.

Learn the advantages of using Bayesian active learning (BaaL) versus regular active learning.

Join Senior Frontend Engineer Nick Skriabin for an overview of whats new, fixed and great about Label Studio Open Source version 1.1

Featuring Machine Learning expert and active Label Studio community member Aaron Soellinger. Hosted by Heartex's Head of Open Source Community Michael Ludden.

This webinar tutorial, led by Heartex's co-Founder and Chief Technology Officer Nikolai Luibimov, will tackle the much-requested topic of Machine Learning (ML) integrations with Label Studio.

We want to start highlighting community projects for the purposes of informing and inspiring other Label Studio users and community members.

This beginner friendly webinar will teach viewers how to install and get started with LabelStudio version 1.0.1, answer some common questions and walk viewers through key features.