Guide

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.

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.