Label Studio: Free Open Source Data Labeling Platform for AI Models

Quick Overview

Label Studio is a free, open-source, multi-modal data labeling platform that supports various data types like text, images, audio, and video, enabling users to fine-tune LLMs, prepare training data, and evaluate AI models through a flexible, customizable interface that also supports deployment via platforms like Elestio.

Key Points: Label Studio is presented as a free, open-source data labeling platform designed to fine-tune LLMs, prepare training data, or evaluate AI models. The platform supports labeling across multiple data types, including Images, Audio, Text, Time Series, Multi-modal, and Video, as demonstrated by browsing templates for each category (0:15-0:17, 0:45-0:50, 3:50-4:57). A demonstration shows setting up an image labeling project, including defining labels like 'Airplane', 'Car', and 'Road', and drawing polygons for segmentation (2:20-2:48). The setup process involves three main steps: Project Name, Data Import (supporting URLs or file uploads, 2:03-2:05), and Labeling Setup (choosing templates, 2:05-2:11). Deployment options are highlighted, showing self-hosting via a quick start guide (0:34-0:37) or using a managed cloud service like Elestio, which offers plans starting at $149/month or $0.0192/hour for a specific instance (0:30-0:34, 0:52-1:05). The platform features an interactive model connection area under 'Model' settings to enable pre-labeling and active learning by connecting a machine learning backend (8:34-8:57). The video concludes by showing the project dashboard where completed tasks are tracked (e.g., 3 out of 8 tasks done on 29 Oct 2025, 12:52:57) and various export formats like JSON, CSV, YOLO, and COCO are available (5:54-8:19).

Context: The video provides a comprehensive overview and demonstration of Label Studio, an open-source platform dedicated to data annotation for building and refining AI models. The presenter walks through the initial setup, demonstrating how to create a new project, configure labeling interfaces for different data modalities (including computer vision and NLP), and highlights deployment options using both self-hosting and managed services like Elestio, ultimately showing the data labeling and project management workflows.